This blog post was updated by Ren Horst on November 4, 2025 following the webinar event.
50% of prospective students use AI tools at least weekly to research information online. 79% read Google’s AI Overviews, and more than half say they’re more likely to trust the institutions AI cites.
These search behaviors are no longer emerging trends. They’re the new reality for enrollment marketing.
On October 23, UPCEA and Search Influence hosted the live webinar “AI Search in Higher Education: How Prospects Search in 2025,” unveiling findings from the AI Search Research Study.
The session explored what’s shaping prospective student behavior today, plus how higher ed marketers can adapt their visibility strategies for AI-driven search.
How AI Is Changing Institutional Visibility
The new research highlights a fundamental shift in how students discover, evaluate, and ultimately choose higher education programs. Traditional search engines remain important, but AI-driven platforms are shaping decisions in ways that enrollment marketers can’t ignore.
For higher ed institutions, the implications are clear: If you’re not present in AI-powered search experiences, you may be invisible to a significant portion of your prospective students.
“AI Search in Higher Education: How Prospects Search in 2025” unpacked the study findings, explained why they matter, and showed you how to position your institution for visibility in 2026 and beyond.
Key Takeaways From the Webinar
SEO then and now
Search strategy has evolved from keyword targeting to context and credibility. AI engines understand meaning through entities, relationships, and trusted citations, not just keyword density. The webinar discussed how this shift changes on-page SEO priorities, emphasizing entity optimization, structured data, and semantically rich content to help AI engines interpret institutional expertise.
Authority and content signals
Institutional visibility depends on demonstrating trust through structure, accuracy, and reputation. AI platforms prioritize content that’s organized, verifiable, and supported by credible references. The webinar explored tactics for improving these signals, like incorporating earning links, highlighting faculty expertise, and securing third-party mentions that reinforce authority beyond your own website.
Measuring AI visibility
Understanding your reach in AI search is becoming possible through emerging analytics. Tools such as Google Analytics 4, Search Console, and Scrunch can reveal AI-driven traffic, question-based visibility, and citation frequency. The webinar covered how marketers are starting to quantify AI exposure, sharing practical ways to integrate early visibility tracking into institutional reporting.
The Opportunity Ahead
AI is fundamentally changing how students search and how institutions are seen. Yet, many schools haven’t updated their strategies to reflect how AI engines surface information.
Those who act now will gain visibility in AI and Google, positioning their programs to be found, considered, and chosen.
AI-driven discovery is rewriting the rules of visibility for universities. As prospective students increasingly rely on tools like Google’s AI Overviews, ChatGPT, and Perplexity, the traditional SEO playbook is no longer enough.
The next era of visibility requires a strategy built for recognition and trust within AI ecosystems, not just rankings on search results pages.
Presentation Slides
At the 2025 AMA Symposium for the Marketing of Higher Education, Paula French, director at Search Influence, and Tara Pope, director of marketing at Tufts University College, will explain how institutions can thrive in this new environment.
Their presentation, “How to Win AI Search: Three Pillars for Success,” will be held on Tuesday,November 11, from 2:50 to 3:40 p.m. in National Harbor, Maryland.
The Evolving World of AI Search in Higher Education
56% are more likely to trust a site featured in an AI Overview.
These numbers highlight a pivotal shift. Visibility in AI search is now visibility with students.
Institutions that fail to appear in AI-generated answers risk being overlooked entirely, even before a prospective student reaches a search results page.
Inside the Framework: Three Pillars of AI SEO
In their AMA Higher Ed session, French and Pope will introduce a practical framework that helps institutions strengthen their visibility and authority within AI-generated environments.
1. Entities
AI systems interpret structured data and networked entity relationships. By using schema markup, entity-rich language, and consistent identifiers, institutions can help AI better recognize programs, faculty, and departments.
2. Semantic relevance
AI favors content that mirrors how people naturally ask questions. Structuring content in concise Q&A form, using natural language headings, and speaking clearly to student intents makes it easier for AI to parse and surface your content.
3. Citations
Trust is a currency in AI. When content is cited or linked from reputable sources (media, academic directories, “best of” lists), AI is more likely to elevate it. PR and content teams should actively integrate link building and authoritative mentions into the SEO strategy.
Together, these three pillars form the foundation of a sustainable AI SEO strategy that builds visibility across traditional and generative search experiences alike.
About the Speakers
Tara Pope serves as director of marketing at Tufts University College, where she oversees marketing and communications for a diverse portfolio of programs, including Pre-College, Professional Education, and the Osher Lifelong Learning Institute. With more than 25 years in digital marketing and communications, her career spans technology, e-commerce, and higher education.
Paula French, director at Search Influence, is a digital marketing leader with 15 years of experience helping higher education institutions enhance their online visibility and enrollment outcomes. She frequently contributes insights on SEO, analytics, and strategy to national audiences and industry publications.
About the 2025 AMA Symposium for the Marketing of Higher Education
For more than 30 years, the Symposium has served as one of the field’s leading events, offering peer-reviewed sessions that inspire collaboration, innovation, and actionable learning. The 2025 Symposium will take place November 9–12, 2025, in National Harbor, Maryland, helping institutions refine their strategies, strengthen their reputations, and drive meaningful impact.
Why This Conversation Matters
As generative AI continues to influence how students research, compare, and decide on programs, institutions must adapt their content strategies accordingly. Optimizing for AI search in higher education means focusing on recognition, structure, and authority, not just visibility.
Paula French and Tara Pope’s framework offers higher ed marketers a clear path forward: one grounded in data, built on collaboration, and ready for the AI-driven future of discovery.
Learn More About the Research
Want to explore the trends shaping student search behavior in the age of AI?
The new UPCEA + Search Influence research study, AI Search in Higher Education: How Prospects Search in 2025, reveals how students use AI, search engines, and university websites to make enrollment decisions.
Search Influence continues to advance the conversation around AI SEO on a global scale.
This fall, CEO and Co-Founder Will Scott represented the agency at two of Europe’s most respected industry events, SEOktoberfest G50 Summit in Austria and SMX Advanced Europe in Berlin, sharing insights on how artificial intelligence is reshaping search, content, and visibility.
Bringing AI SEO Expertise to the Global Stage
At SEOktoberfest, an invite-only event limited to just 50 of the top SEO professionals globally, Will joined peers from leading organizations, including Google, Yoast, and Faber Company, to explore the next generation of AI search and generative engine optimization (GEO).
The gathering fosters open discussion among industry pioneers, offering a rare opportunity to exchange forward-thinking strategies about how artificial intelligence is redefining visibility and authority in search.
Will’s participation highlights Search Influence’s position among agencies advancing the real-world application of AI SEO — ensuring clients benefit from strategies informed by direct collaboration with the industry’s brightest minds.
Advancing AI SEO Strategy at SMX Advanced Europe
Following SEOktoberfest, Will spoke at SMX Advanced Europe 2025 in Berlin, delivering the session “AI Tools for Creation, Deployment & Tracking.” The two-day event is known for fast-paced, expert-level presentations designed for experienced search professionals who want to deepen their technical and strategic knowledge.
In his session, Will shared actionable approaches for integrating AI SEO tools into marketing workflows. His presentation emphasized how agencies and in-house teams can harness AI to enhance creativity, streamline execution, and measure success more effectively.
These insights are part of Search Influence’s ongoing commitment to helping brands adapt to a rapidly changing search environment — where visibility depends on mastering traditional SEO fundamentals and emerging AI search capabilities.
Continuing the Conversation on AI Search
Will’s European appearances build on a growing list of speaking engagements, including SMX Advanced Boston, SMX Online Masterclasses, Local U, and Pubcon, where he has helped marketers understand and apply AI SEO. His expertise continues to position Search Influence at the intersection of AI innovation and strategic SEO, helping clients thrive in a marketplace transformed by generative search.
Maximize Your Success With Proven Industry Experts
At Search Influence, we don’t just talk about online growth. We engineer it.
Our team combines deep industry knowledge with cutting-edge AI SEO strategies to help clients in higher education, healthcare, hospitality, and more rise above the competition.
Every strategy we craft is backed by data, driven by results, and designed to unlock your full potential.
Nontraditional programs are driving enrollment growth. These offerings now provide working adults and lifelong learners with accessible routes to advance their skills and careers.
Your real competition isn’t just other universities. Private bootcamps, online platforms, and credentialing providers are dominating search results and targeting the same students you are.
High-intent traffic requires high-intent content. Prospective students aren’t always searching for institutions. They’re searching for outcomes, credentials, and career alignment. Your web pages must reflect those priorities to convert.
Visibility in search starts with proper SEO. Content must be structured, helpful, and authoritative to appear in traditional search engines, Google’s AI Overviews, ChatGPT, and other generative tools.
The future of higher education isn’t confined to traditional four-year degrees. Certificates, bootcamps, and microcredentials have increasingly become pathways for career switchers, adult learners, and professionals who need quick, targeted upskilling.
But high demand alone doesn’t guarantee enrollment.
Universities now compete not just with peers but with corporate training providers, digital learning platforms, and alternative credentialing organizations. And with AI-driven search like Google’s AI Overviews and ChatGPT shaping how people find information online, visibility determines who wins attention and who gets overlooked.
Prioritizing search engine optimization (SEO) ensures your programs surface in traditional search results and AI-generated answers, giving your institution the edge it needs.
Not sure where to start? This higher education SEO checklist outlines essential steps to capture visibility and convert interest into enrollment.
Why Nontraditional Programs Are Surging
More adults are returning to education
A growing number of learners today are 25 and older, many of them balancing work, family, and other responsibilities. To them, educational convenience is non-negotiable. These students are drawn to programs that offer flexibility, affordability, and credentials that directly support career advancement.
That’s why online, hybrid, and evening/weekend formats continue to gain traction. These formats allow adult learners to continue working and managing daily responsibilities while investing in their future, without the need to pause their lives.
Employers need rapid reskilling
Workforce disruptions and rapid technological change are creating urgent skill gaps across nearly every industry. In response, employers are embracing skills-based hiring, prioritizing specific competencies over traditional degrees.
This shift has elevated the credibility of certificates, microcredentials, and bootcamps. Programs that align with industry-recognized certifications (ex: project management, cloud computing, continuing education in healthcare) help learners meet employer expectations and compete in fast-moving job markets.
Learners want faster ROI
Many students today are motivated by outcomes they can act on quickly — a promotion, a licensure renewal, or a career pivot. Nontraditional programs offer a shorter, more focused timeline that aligns with these goals.
Most last weeks or months rather than years, and they clearly map to real-world results. For busy professionals weighing the cost of time and tuition, programs with defined outcomes and immediate career relevance offer a much stronger return on investment than traditional long-term degree tracks.
Why SEO Matters for Nontraditional Programs
Different search behavior requires different SEO
Prospective students for nontraditional programs often search differently than traditional undergrads. Their queries focus on outcomes, credentials, and convenience, not necessarily institutions.
Terms like “online certificate in digital marketing”, “CEU courses for teachers in Florida”, or “best coding boot camps near me” reflect a clear intent to act.
If your program pages aren’t built to match these kinds of searches, you’ll miss the opportunity to connect with the very students your programs are built for. SEO makes those connections possible by aligning your content with how and what people are actually searching for.
Competition extends beyond universities
More and more top-ranking results for nontraditional programs don’t come from universities. Instead, they come from private bootcamps, online platforms, and credentialing providers that build SEO directly into their business models. Companies like Coursera and Udemy publish detailed, optimized pages for nearly every course and often outrank universities on the same terms.
These providers are targeting the same prospective students, using content that speaks directly to their goals and matches exactly how they search. Without a focused SEO strategy, even the strongest university programs can be overlooked.
Search is evolving with AI
Prospective students no longer look for answers solely on search engine results pages. AI-driven tools like Google’s AI Overviews, ChatGPT, Gemini, and Perplexity reshape how information surfaces and which sources get visibility.
These platforms favor content that’s clearly structured, built around recognizable entities, and written with authority. Pages that anticipate common questions and offer well-organized details are far more likely to be referenced or cited in AI-generated responses.
To compete in this environment, nontraditional program content must be optimized for traditional rankings and conversational discovery. That means thinking beyond just keywords and writing for how both humans and machines understand relevance.
Higher Education SEO Checklist for Nontraditional Programs
Step 1: Understand the nontraditional searcher
Before shaping any SEO strategy, start by understanding who you’re targeting. Nontraditional students often have very different motivations and decision-making processes than traditional undergrads, and those differences shape how they search.
Most are working adults with specific goals in mind. They’re focused on outcomes, timelines, and credentials, not student life or campus culture. Your content and keyword strategy should reflect that.
Keep these traits in mind as you develop your SEO approach:
They want programs that support career advancement, a pivot into a new field, or the renewal of a professional license.
They tend to move quickly with shorter enrollment cycles and a strong need for fast, measurable ROI.
They prioritize flexibility, often searching for online, part-time, or evening/weekend options that fit into full schedules.
They search with intent, using job titles, certifications, or credential-specific queries.
When you build content that speaks directly to these priorities, search engines understand the relevance, and potential students see the value immediately.
Step 2: Target high-intent keywords and long-tail queries
To attract qualified leads, your keyword strategy must reflect how prospective students search. Generic degree terms like “business program” or “computer science major” won’t surface certificate or bootcamp content, and they can cannibalize SEO for your other academic programs.
Instead, build keyword sets around:
Program type + skill + career outcome (e.g., “online UX certificate for working adults”)
Conversational queries aligned with voice search and AI (e.g., fastest cybersecurity certificate with job placement)
Be sure to group keywords by intent (exploratory vs. ready-to-enroll) and format (certificate, bootcamp, CEU, etc.). Then map those keywords to optimized landing pages that speak directly to each audience segment. You can use Google Search Console and other free keyword research tools to track performance and identify gaps in your content strategy.
Step 3: Optimize dedicated program pages
Every nontraditional program should live on its own page, not be buried under a general “Continuing Education” tab or lumped into a degree overview. When each certificate, bootcamp, or CEU has a dedicated, well-structured page, users, search engines, and AI platforms can find what they’re looking for faster.
Strong program pages answer real questions and guide prospective students toward the next step. They should include:
A clear program overview, including what it is and who it’s for
Timeline and start dates
Admission criteria, tuition, and any financial aid details
A list of courses or skills taught
The outcome: what students can do or qualify for after completion
Make sure the page is easy to scan. Use clear headings, bullet points, and internal links that help users move between related content.
And yes, it should load fast, work on mobile, and follow accessibility best practices. Search engines notice when a page respects users’ time.
Step 4: Build a content cluster for each program
Your program page shouldn’t stand alone. Develop a content cluster around each nontraditional program to build authority and improve search visibility. This strategy helps search engines understand the depth and relevance of your content and gives prospective students multiple entry points to engage.
Start with the program page as your pillar. Then support it with content that speaks to different aspects of the student decision-making process, like:
Blog posts answering common questions (e.g., “How long does it take to complete a UX certificate?”)
Faculty perspectives on industry trends and credential relevance
Interlink this content back to the pillar page to establish topical authority. A well-structured cluster signals relevance to search engines and helps students explore without hitting dead ends.
Step 5: Build enrollment-stage resources that support decision-making
Beyond discoverability, prospective students need tools to evaluate your programs and decide whether to apply. These enrollment-stage resources address common concerns, support advisor conversations, and give learners the confidence to move forward.
Create assets like:
Downloadable program guides with curriculum, cost, timelines, and FAQs
Credential comparisons (certificate vs. degree, CEU vs. bootcamp, etc.)
Career outlook PDFs mapping skills to job titles and salary ranges
Webinar slides or follow-up one-pagers for info sessions
Once created, make these resources easy to find and repurpose:
Feature them on LinkedIn and program pages
Share via email campaigns and lead nurture flows
Use them in admissions conversations and webinars
These tools help students compare options and understand outcomes, and they provide additional SEO value when hosted and linked properly.
Step 6: Use strategic calls to action (CTAs)
Once your program pages and supporting content are optimized, guide visitors toward the next step with CTAs that reflect their stage in the decision-making process. A generic “Learn More” or “Apply Now” won’t always cut it, especially for prospective students browsing during a break between shifts or researching late at night after putting kids to bed.
Your CTAs should match the user’s intent and readiness:
Early-stage learners are gathering information. Use CTAs like:
“Download the Certificate Guide,” “Explore the Curriculum,” or “What Can I Do With This Credential?”
Mid-funnel users are comparing programs. Guide them to:
“Sign Up for a Live Info Session,” “See Career Outcomes,” or “Compare Certificate and Degree Options.”
High-intent students are ready to take action. Prioritize:
“Register for the Next Session,” “Start Your Application,” or “Speak With an Enrollment Coach.”
Make each CTA specific and time-sensitive. Embed them in multiple places: the top of the program page, within FAQ sections, after testimonials, and in blog content.
Step 7: Leverage multimedia for SEO impact
Multimedia isn’t just decorative. It’s a core part of your higher education SEO and conversion strategy. Videos, audio snippets, and visuals like infographics give prospective students more ways to connect with your program, and they can also be featured in AI-generated responses (especially YouTube videos).
Start with the program page. Add:
Faculty introductions explaining course content or how the program connects to industry needs
Alumni testimonials sharing what they gained, where they work now, and how quickly they saw a return on their investment
Short videos explaining the format (e.g., how a weekend-only bootcamp works) or answering FAQs
Upload any videos to YouTube with optimized titles, descriptions, and tags. Then, organize them into playlists grouped by category, like “Healthcare Certificates,” “Business Microcredentials,” or “IT Bootcamps.” These playlists become assets you can embed across pages, emails, and social posts.
Always include captions and transcripts for accessibility and indexing. Pages with embedded, captioned video can help with higher time-on-page and reduced bounce rates.
Step 8: Prioritize technical SEO and user experience
You can have the most relevant content on the web, but if your site is slow, confusing, or inaccessible, it won’t matter. Technical SEO ensures your content performs well across devices and platforms, while a thoughtful user experience keeps prospective students engaged.
Start with a mobile-first design. Nontraditional learners often research on the go — between meetings, during commutes, or late at night on their phones. Make sure all program pages are responsive, load fast, and avoid unnecessary pop-ups or clutter.
Run regular audits to assess:
Page speed using Core Web Vitals (especially Largest Contentful Paint and Cumulative Layout Shift)
Broken links and redirect loops
Schema markup to support AI and rich results
Navigation clarity, especially for programs not housed under “Degrees”
Adhere to accessibility best practices like alt text for images, proper heading structure, keyboard navigation, and ARIA labels. This benefits all users while improving search engine visibility.
Step 9: Track the right KPIs with UTMs and event tracking
For fast-moving programs like bootcamps and CEUs, you can’t wait six months to evaluate performance. Use an analytics infrastructure that tracks behavior in real time and ties specific campaigns to measurable outcomes.
Start by defining clear KPIs that go beyond keyword rankings, such as:
Program brochure downloads
Webinar registrations
Inquiry form submissions
Applications/registrations started or completed
Set up UTM parameters on every paid, organic, and email campaign. These tags help you segment traffic by source and determine what’s actually driving engagement in your SEO efforts.
Use event tracking (via Google Tag Manager or another tool) to monitor:
Clicks on CTAs
Video views
Form submissions and dropdown interactions
Time on page for high-converting content
With a consistent and comprehensive approach to analytics tracking, you’ll quickly see which programs have strong momentum and which need refinement.
Step 10: Build authority and citations
Search engines have long used backlinks to evaluate trust, but AI platforms are increasingly relying on citations (mentions of your institution in trusted spaces) to determine authority. While links still carry weight, visibility in Google’s AI Overviews, ChatGPT, and Perplexity often depends more on who references you, not just where you’re linked.
To build citation-worthy authority:
Publish faculty insights in trade publications, industry blogs, or local news outlets
Collaborate with employers or associations to be named in workforce training directories
Secure alumni coverage in media stories, awards lists, or “Where Are They Now?” features
Submit your programs to credible rankings or curated resource lists (e.g., “Best Data Analytics Bootcamps”)
Strengthen internal linking between programs and thought-leadership pages to reinforce topical relevance
Each citation builds trust, not just with humans, but with AI engines scanning the web for reliable answers to user queries.
Nontraditional Program SEO Checklist FAQs
Is SEO still relevant today?
Yes. SEO is essential for online visibility, especially in higher education, where competition is growing. Even as AI tools reshape search behavior, traditional search engines remain a major discovery channel for prospective students. SEO ensures your programs rank for relevant keywords, appear in AI-generated results, and meet the expectations of search engines and users alike.
How does AI search change SEO for higher education?
AI search favors structured, authoritative content that directly answers questions. Platforms like AI Overviews and ChatGPT look for well-organized pages, strong citations, and recognizable entities to inform their responses. This means the most effective SEO strategy must go beyond keywords, prioritizing AI SEO fundamentals like semantic relevance, entity-rich content, and citation-building to stay visible in both AI and traditional search.
How is SEO different for nontraditional programs?
Nontraditional students search with different goals and intent, so SEO must reflect that. They often use career- or credential-focused queries like “online project management certificate” instead of institutional brand names. Optimizing for these long-tail, high-intent searches and providing fast, mobile-friendly, easy-to-navigate pages helps you reach this audience effectively.
Does page speed affect SEO?
Yes. Slow loading times negatively impact search rankings and user experience. Google’s Core Web Vitals prioritize fast, stable performance across devices, especially mobile. For higher ed sites serving adult learners on the go, optimizing load speed and reducing layout shift can improve both visibility and conversion.
What content works best for nontraditional program SEO?
Detailed, outcome-driven content performs best for nontraditional programs. Pages should clearly explain the program’s purpose, who it’s for, what it costs, and what students can do after completing it. Supporting assets like alumni stories, FAQs, and videos boost engagement and help your pages surface in AI-generated answers.
How do I measure SEO success?
Measure SEO success by tracking both visibility and conversions. Look at keyword rankings, organic traffic, and AI citations, but also monitor form fills, brochure downloads, and webinar signups. Tools like Google Search Console, Google Analytics (with UTM tags and event tracking), and Scrunch AI offer the full picture of what’s working and what needs refinement.
Build Smarter SEO Strategies for Nontraditional Programs
Search is the front door to your programs, and today, that door opens in more places than ever. From Google’s AI Overviews to voice assistants and generative platforms, visibility depends on how well your content performs across both traditional and AI-powered search.
SEO isn’t just a checkbox. It’s your edge in a competitive market.
The higher education SEO checklist above gives you the foundation. The next step? Putting it into action.
Artificial intelligence isn’t on the horizon for higher ed — it’s here. Half of prospective students already use AI tools weekly to search for information in the same way they use Google.
To help institutions adapt, the Online and Professional Education Association (UPCEA), in partnership with Search Influence, has released the 2025 AI Search in Higher Education Research Study. This research sheds light on how prospective adult learners use AI, search engines, university websites, and other platforms to explore, trust, and select programs.
About the AI Search in Higher Education Research Study
The AI Search in Higher Education report surveyed 760 qualified adult learners between 18 and 60, all interested in advancing their skills or knowledge through online and continuing education. These respondents represent today’s prospective adult learners, a growth market for universities and an early indicator of broader enrollment trends.
UPCEA led the research, bringing its deep expertise in online and continuing education, while Search Influence shaped the study with insights from our nearly 20 years as an SEO and AI search optimization agency.
Together, we uncovered how AI, traditional search, and institutional websites are reshaping the way prospective students find, trust, and ultimately choose programs.
Key Findings: How Prospects Search in 2025
The results illustrate a rapidly diversifying student journey. Here are the top takeaways:
AI tools are an integral part of the enrollment funnel. 50% of prospective learners use AI platforms weekly, making them a standard part of the search process.
University websites anchor trust. 77% of respondents rated institutional websites as their most reliable source when exploring programs.
AI citations influence credibility. 79% of prospects read Google’s AI-generated overviews, and 56% say they are more likely to trust schools cited within them.
Search visibility drives consideration. 82% of students report they are more likely to consider programs that appear on the first page of search results.
Discovery spans multiple platforms. 84% of prospects use search engines, 61% use YouTube as a search engine, and 50% rely on AI tools in the same way they use Google.
These findings confirm that students are moving fluidly between AI platforms, search engines, and video-based resources. Institutions cannot rely on a single channel. They must create content that performs across all of them.
Why Online and Continuing Education Students?
Online and continuing education students are often early adopters of new search behaviors, and their choices ripple outward to the broader higher ed market. They are career-focused, typically employed full-time, and actively researching programs that fit their personal and professional goals.
By focusing this study on online and continuing education prospects, we’re able to capture a forward-looking snapshot of how AI search in higher education is shaping program discovery, trust, and enrollment decisions.
What This Means for Higher Ed Marketers
For higher ed leaders and enrollment teams, the implications are clear:
Multi-channel visibility is non-negotiable. Students expect to find you on Google, university websites, AI-generated responses, and video platforms like YouTube.
SEO is the connective tissue. Strong, authoritative SEO is the foundation that fuels visibility across both traditional and AI search engines. Without it, your programs won’t appear in the places students are looking.
Early movers will win. Many institutions have not yet adapted their strategies for AI search. Schools that act now will gain a competitive advantage in enrollment visibility and trust.
Measuring Success in AI Search
Success in AI search isn’t just about rankings. Institutions should track citations in AI Overviews, visibility across AI platforms, and engagement from AI-driven traffic, alongside traditional metrics like cost per inquiry (CPI) and ROI. By adding these benchmarks, schools can better understand how AI contributes to the enrollment funnel and make smarter investments in visibility and trust.
Take Action: Be Visible in AI Search
AI search is a core part of how students find and evaluate higher ed programs.
The 2025 AI Search in Higher Education Research Study confirms what many institutions are beginning to notice: if you’re not visible in AI search, you’re not in the consideration set.
Search is no longer limited to ten blue organic links. Today, platforms like Google AI Overviews, ChatGPT, and Perplexity generate direct answers that change how people discover information.
If your content isn’t optimized for these generative engines, you risk being left out of the results entirely.
On October 7, 2025 (11:00 am – 4:45 pm ET), Search Influence CEO and Co-Founder Will Scott will lead a live, online Generative Engine Optimization (GEO) Master Class with Search Engine Land. This intensive session will show SEO professionals and content strategists how to align with AI-driven search while continuing to perform in traditional results.
Why AI SEO Can’t Wait
AI-powered search surfaces content differently than Google’s organic results. Instead of ranking pages, these engines parse entities, measure authority, and pull contextual answers.
For marketers, that means adapting keyword strategy, strengthening trust signals, and structuring content so AI systems can cite it directly.
Will Scott, who coined the term “barnacle SEO,” has long helped businesses prepare for shifts in digital visibility. His GEO Master Class is designed to provide a practical framework so marketers can maintain and expand reach across both AI-driven and traditional search environments.
What the Master Class Covers
Fundamentals of GEO
Learn how generative engines interpret relevance, authority, and citations, and what that means for your content.
Content Structuring for AI
Explore formatting and entity optimization techniques that improve your chances of being cited in AI-generated responses.
Keyword Strategy for AI Queries
Move beyond static keywords and into conversational phrasing, questions, and modifiers that trigger AI responses without losing organic visibility.
Competitive Analysis for AI Visibility
See how competitors perform in generative results, where opportunities exist, and how to adapt their wins to your own strategy.
Authority and Trust Signals
Understand how AI systems assess brand authority and what steps you can take to strengthen recognition.
Measurement and Iteration
Gain tools and frameworks for tracking appearances in AI answers and adjusting content accordingly.
Future Outlook
Get an informed view of what’s next in AI search and how to prepare your strategy today.
Who Should Attend
This training is built for content strategists, SEO specialists, and digital marketers with 2–5 years of experience who need actionable techniques for AI SEO. Whether you manage in-house content or work with multiple clients, the session will equip you with skills to keep visibility strong in a generative-first world.
Agenda at a Glance (ET)
11:00–12:15 — GEO fundamentals: entities, citations, and semantic relevance
12:30–1:45 — Keyword and entity optimization, with a schema deep dive
2:00–3:15 — AI-ready content strategies and hands-on competitive analysis
3:30–4:45 — Measurement, tools, and a forward look at AI search
About Will Scott
With decades of experience in SEO and digital marketing, Will Scott has been at the forefront of shifts in search behavior. Beyond leading Search Influence, he has presented at SMX, Pubcon, and LocalU, sharing strategies on AI-driven search and optimization.
Earlier this year, he led a two-day AI for SEO Master Class with SMX and presented at LocalU Global on using AI for local search. His upcoming session with Search Engine Land builds on that momentum, offering professionals practical frameworks they can apply immediately.
“Marketers don’t need to abandon SEO. They need to evolve it,” Scott explains. “Generative Engine Optimization is about ensuring your content is both discoverable by AI systems and valuable to human readers.”
Register Now
The Generative Engine Optimization Master Class will be held live online on October 7, 2025, from 11:00 a.m. to 4:45 p.m. ET. Registration is $249 and includes on-demand access.
AI SEO builds on, not replaces, foundational SEO: Core principles like site structure, crawlability, and authority still power visibility, but AI SEO adapts them for generative search experiences.
Entities are the new keywords: While keywords still matter, AI-powered platforms prioritize clearly defined people, places, products, and concepts they can connect in their knowledge graph.
Trust signals matter more than ever: Citations, structured data, and mentions in authoritative sources strengthen your credibility in AI-driven results.
Content must be precise, structured, and interpretable: AI favors fact-based, well-organized information that it can quickly retrieve, summarize, and verify.
Visibility now spans traditional and AI-driven search: Success means optimizing for both blue-link search results and zero-click AI-generated answers.
Search is shifting. Not in a way that erases what’s worked before, but in a way that builds on it.
As AI-powered platforms reshape how answers are generated and delivered, marketers are starting to hear more about AI SEO fundamentals and how they differ from foundational SEO.
The truth is, the two are deeply connected. Foundational SEO gives your site the structure, content, and authority it needs to be discovered, while AI SEO adapts those strengths for generative search experiences. Knowing how they work together is what keeps your brand visible across both traditional search results and AI-driven answers.
In this post, we’ll explore what’s changed, what’s stayed the same, and where to focus your SEO efforts now.
What Is AI SEO?
AI SEO, sometimes called answer engine optimization (AEO) or generative engine optimization (GEO), is the process of optimizing for search platforms powered by large language models (LLMs).
These systems don’t just match words to queries. They interpret meaning, connect related concepts, and generate answers by pulling from multiple sources.
The goal of AI SEO is to make your content interpretable, not just indexable. That means presenting information with enough clarity, context, and authority that AI-powered platforms, from Google’s AI Overviews to voice assistants, can confidently surface it in their answers.
What Is the Difference Between Foundational SEO and AI SEO?
The easiest way to think about it? Foundational SEO is the playbook. AI SEO is the game adaptation.
The rules of search visibility haven’t been thrown out. They’ve just been rewritten for a different kind of opponent.
Foundational SEO focuses on:
Indexing – ensuring your pages can be crawled and stored in the search engine’s database
Keyword-based ranking – matching specific search terms with the right on-page signals
Link equity – building authority through relevant, high-quality backlinks
AI SEO shifts the focus toward:
Understanding – making sure AI grasps the meaning and relationships in your content
Summarization – structuring information so AI can distill it into concise, direct answers
Entity recognition – clearly defining the people, places, and concepts your content references
Trust signals – earning credibility through citations, authoritative mentions, and structured data
AI SEO builds on foundational SEO, but it doesn’t replace it. Without solid site structure, clean crawlability, and on-page optimization, AI won’t know your content exists, let alone quote it in a response.
Just like the Braves still rely on strong pitching and fielding, no matter how the opposing team changes its lineup, your SEO success starts with the fundamentals before you adapt to the new game.
Foundational SEO vs. AI SEO Fundamentals
Foundational SEO Pillars
Keywords
In traditional search, exact-match keywords have reigned as the primary way search engine algorithms connect queries to pages. In AI SEO, they’re no longer the only factor, but they still carry weight. Pages in Google’s top 10 results, where keyword targeting is strongest, account for 40.58% of AI citations, suggesting that keyword optimization still contributes to visibility.
Content
Foundational SEO rewarded sheer volume and careful keyword placement. AI search rewards content that’s precise, well-structured, and easy to parse. That means answering the full question, organizing information for clarity, and removing anything that doesn’t serve the search intent. Strong content creation now means creating “chunks” of content that can stand alone as a trusted resource.
Links
Quality backlinks have long been a direct signal of authority for search engines. When reputable, relevant sites link to your pages, it tells algorithms your content is trustworthy and worth ranking. A well-earned backlink profile improves visibility, strengthens domain authority, and supports higher placements for competitive queries.
AI SEO Pillars
Entities
Entities are the people, places, products, and concepts AI recognizes in its knowledge graph. Optimizing for them means naming them clearly, connecting them to related topics, and using structured data to define their relationships. Whereas keywords are the handshake with traditional search engines, entities are the introduction that AI trusts.
Semantic relevance
Semantic relevance is the alignment between your content’s meaning and the intent behind a query. AI models analyze relationships, flow, and coverage of related subtopics to ensure they can extract accurate, context-aware answers. This shifts the focus away from keyword density and toward content that demonstrates topic expertise and logical connections — the qualities AI trusts when deciding what to surface.
Citations
Citations are mentions of your brand, content, or expertise in authoritative sources, even without a hyperlink. They act as trust signals, confirming to AI that your content is credible. In foundational SEO, the emphasis is on backlinks as the measure of off-site authority. In AI SEO, citations expand that concept, showing that recognition and validation from trusted sources can influence visibility just as much as linked endorsements.
This also ties into co-occurrence, when two or more related terms, entities, or phrases appear near each other within your content or across multiple authoritative sources. Even without a direct hyperlink, co-occurrence helps AI understand the relationships between concepts, strengthening your relevance and authority in generative search results.
How to Optimize for AI SEO (Content, Structure, & Technical)
Once you understand the shifting priorities in search, the next move is to make your content work for both humans and machines.
Step 1: Identify & Include Recognizable Entities
If AI can’t tell what (or who) you’re talking about, it won’t feature you in results. Use clear concepts by name and connect them to related ideas so AI crawlers and search engine algorithms understand your content.
Mention people, places, programs, and products by name.
Add related concepts to show the full scope of the topic.
Include brand mentions, institutional affiliations, or commonly searched services.
Step 2: Write Fact-Based, Declarative Content With Monosemanticity
AI-powered tools pick up straightforward, fact-based writing faster than clever wordplay. This is where monosemanticity comes in, i.e., structuring a statement so it carries only one clear meaning, without ambiguity or multiple possible interpretations.
When applied to content, monosemanticity ensures that each sentence is direct, fact-based, and disambiguated, making it easier for both readers and AI systems to understand.
Lead with simple semantic triples about your brand or related offerings/concepts, including a subject, predicate, and object.
Write with short, direct sentences.
Use credible data sources and skip the filler.
Step 3: Structure Content for Chunking & Retrieval
Good structure helps both people and AI quickly parse meaning. The clearer your layout, the faster information can be pulled into relevant answers.
Use short paragraphs, bullets, and clear H2/H3 headings.
Add question-based subheadings that mirror natural searches.
Include a table of contents, jump links, and direct Q&A sections.
Step 4: Optimize Meta Tags for Clarity
Your title tags and meta descriptions still matter in an AI search world. They’re one of the first clues search engines use to understand your content and one of the first things users see. In AI contexts, clear and descriptive titles also help LLMs match your page to the right queries.
Write titles that clearly reflect the page’s primary topic.
Keep title tags under ~60 characters so they display fully in search results.
Use meta descriptions (under ~155 characters) to summarize the page in a way that’s useful for both people and AI.
Include your target keyword/entities naturally in both the title and description.
Step 5: Build Technical Infrastructure That Supports AI
Even the best content won’t get surfaced if the backend blocks it. Keep the pathways clear so AI can access, understand, and rank your pages.
Keep sitemaps current and allow access to valuable pages in robots.txt.
Use short, readable URLs that signal page relevance.
Improve load times with strong hosting, compressed assets, and fewer blocking scripts.
Strengthen internal links so related topics connect naturally.
Step 5: Apply Structured Data Markup
Structured data acts like a guide for AI, showing exactly what your content is about and how it connects to related topics. When applied correctly, it removes guesswork for search engines and generative AI platforms, making your content easier to interpret and more likely to be pulled into results.
Add Schema.org markup for organizations, people, products, courses, and FAQs.
Label relationships between entities so AI can connect the dots.
Keep markup accurate and updated as your content changes.
Step 7: Distribute Content Across Trusted Platforms
AI evaluates credibility by looking beyond your website, so your authority should be visible wherever your audience and industry interact. The more your brand appears in reputable spaces, the stronger the trust signals it sends to AI systems.
Publish or repurpose high-value content on platforms like LinkedIn, YouTube, and Medium.
Issue press releases or guest posts in respected industry outlets.
Consistently engage where your target audience spends time to increase brand mentions and citations.
AI SEO Fundamentals FAQs
Is SEO going away with AI?
No, SEO isn’t going away, but it is evolving. The first step toward optimizing for AI SEO is building on strong foundational SEO, because without a clean site structure, relevant content, and credible off-site signals, AI tools won’t surface your pages. Think of AI SEO as an additional layer that works best when the groundwork is already in place.
What elements are foundational for SEO with AI?
Core elements like clean site architecture, fast load times, and well-structured content are still essential. These make it easier for both web crawlers and AI models to access, parse, and understand your site.
Relevant content and credible backlinks build trust with AI-powered search just as they do in traditional search results. Without these fundamentals, your AI optimization efforts won’t have a solid base to succeed.
Can older content still perform well in AI search?
Yes, older content can still rank and appear in AI-generated results if it’s accurate, relevant, and updated to reflect current information. AI models prioritize clarity, credibility, and completeness over publish date alone.
Refreshing older posts with updated data, better structure, and entity optimization can extend their visibility in both traditional search results and AI-driven answers. The key is ensuring the content remains useful and aligned with modern search behavior.
How does AI SEO apply to higher education marketing?
AI SEO helps higher education institutions surface in AI-generated answers for prospective students searching across voice search, AI search engines, and conversational platforms. By optimizing for entities like programs, faculty, and campus locations (and pairing that with fact-based, well-structured content), schools can improve their AI visibility.
This means prospective students may encounter your institution earlier in their research, even without clicking through traditional search results.
[POP-OUT] Are you a higher education marketer struggling to keep your institution visible in AI-driven search? Our SEO Roadmap delivers three months of actionable tactics you can implement now to strengthen both your foundational and AI SEO for one top program.
Let’s Make Your AI SEO Strategy Work for You
Mastering AI search starts with a strong foundation and a clear plan for adaptation.
By combining proven SEO principles with strategies built for generative search, you can create content that performs now and stays relevant as search technology evolves.
At Search Influence, we’ve been early adopters of AI SEO, refining foundational tactics while aligning content with the way AI-driven search works today. Our team tracks algorithm changes and AI search updates in real time, ensuring your strategy evolves with today’s top platforms.
Let us help you adapt existing content, create AI-ready assets, and maintain visibility where it matters most. Contact us today to start building a modern search strategy that works harder for you.
AI search is changing the rules but not the game. Foundational SEO fundamentals still matter, but success now depends on adapting them to how AI understands, cites, and delivers information.
Visibility comes from trust, context, and structure. Entity-rich content, credible citations, and clear organization make it easier for AI and traditional search engines to surface your brand.
Optimizing for Google means optimizing for AI search everywhere. Google’s AI Overviews influence visibility across multiple platforms, making Google-centric AI SEO the highest-impact starting point.
SEO is not becoming obsolete but is undergoing a significant transformation in an AI-powered search world, requiring adaptation of fundamental strategies rather than a complete overhaul.
Watch the replay to learn more, or read on for a high-level recap.
Evolution, Not Replacement
While the search landscape is changing with the rise of AI, traditional search (dominated by Google) still holds the majority of market share. AI-powered search tools like ChatGPT are a growing segment that needs our attention now to stay ahead.
AI Search Defined
AI search uses artificial intelligence to comprehend complex queries, generate concise summaries, and provide direct answers, moving beyond just a list of links. Key features include conversational input, AI-generated overviews, context awareness, entity recognition, and citations.
Shift in SEO Focus
The fundamental pillars of SEO are adapting…
From keywords to entities
The focus is shifting from exact keyword matching to understanding and optimizing for entities (named people, places, things, ideas). AI tools use entities to understand context rather than literal search terms. A significant finding is that ~87% of the time, the exact search query does not appear in the AI Overview (AIO) summary, emphasizing the importance of context and the decline in exact-match keyword optimization importance.
From content volume to semantic relevance
Content optimization moves from mere text volume and keyword use to semantic relevance, meaning content that demonstrates depth, is structured for natural search, and reflects how people genuinely ask questions and connect topics. Content needs to be structured in the same way, be clear, and be concise to be chosen by AI as a trusted source.
From links to citations
While links are still important, the emphasis shifts to citations, which involve building trust through mentions and references from authoritative sources. Being present in Google’s top 10 organic results is highly correlated with being cited in AIOs (~41% of citations come from Google’s top 10).
Google’s Continued Importance
Optimizing for Google Search and its AIOs is the most impactful strategy for immediate and long-term results. Google’s AIOs are a hybrid model that pulls real-time data from its index, uses a language model to generate answers, and blends various search results and structured data. Moreover, optimizations made for Google AIOs also positively impact visibility in other AI search platforms like ChatGPT.
Brand Impression in Zero-Click Searches
With the rise of “zero-click searches” (where users get answers directly from AIOs without visiting a website), being cited in an Overview can still create a crucial brand impression and even encourage later brand-specific searches.
Actionable AI SEO Strategies
Search Influence is actively taking concrete, AI search-optimized steps for our clients where applicable:
Content Design: Writing entity-rich, specific, direct, “chunked,” organized, and authoritative content, incorporating clear citations and external references.
Semantic Triple: Structuring content using a subject-predicate-object format to help AI extract facts easily.
Internal Linking: Linking to and from entities rather than using generic call-to-action anchor text.
Schema Markup: Utilizing web code like schema to reinforce entities and structure content, which AI-powered search reads and benefits from.
Citation Building: Actively building citations through online directories, media mentions, thought leadership, speaker bios, and professional associations, reinforcing the desired association between your brand and its offerings.
Tracking and Analytics: While data for AI search tracking is rapidly developing, current tools like Google Analytics 4 can provide referral traffic from AI, and Google Search Console can identify conversational queries. Newer AI SEO tracking tools are emerging to monitor presence and sentiment in AI results.
Credible external validation over traditional keyword-focused content and link quantity
Stay Ahead in the AI Search Era
We’re in the middle of one of the biggest shifts in search since Google was founded, but the fundamentals of SEO still matter. How you apply them just looks different in an AI-driven world. The brands that adapt now will be the ones that stay visible tomorrow.
Wondering what this all means for your brand? Contact us, and let’s talk about how to position your brand for success in both traditional and AI search.
AI search engines reward brands that align SEO with all marketing channels, including social, PR, paid, and email.
Social media content marketing reinforces SEO performance by increasing entity signals and driving engagement.
Earned media and PR build domain authority and citations that support higher search engine rankings.
Email and paid campaigns indirectly boost SEO by influencing user behavior signals like CTR and repeat visits.
AI SEO tracking tools and Google Search Console help track how your marketing efforts affect AI search visibility.
AI-generated search has changed what a winning digital marketing strategy looks like.
To stay competitive in search, you need more than keywords, high-quality backlinks, and old-school content marketing.
You need a coordinated offense.
If AI-powered search is your end zone, then SEO is your quarterback, calling the plays.
And your other marketing channels (social media, earned media, email, and paid campaigns) are the wide receivers, running backs, and tight ends moving the ball downfield.
When they work together, you don’t just show up in search — you win the search results.
Search rankings success now hinges on how well your entire marketing strategy supports visibility in Google’s AI Overviews and tools like ChatGPT and Perplexity.
Learn how content marketing, social media, PR, paid ads, and email all reinforce your search engine optimization efforts and help your brand dominate the AI-driven digital playing field.
Why SEO Needs a Team Effort in the Age of AI Search
AI search engines reward brands that align SEO and other forms of marketing for maximum authority.
Search engines like Google Search no longer rely solely on keywords and link building to decide what ranks. AI-powered search pulls from trusted sources, structured content, and recognizable entities.
Brands that show up consistently across the web, in blog posts, press releases, social profiles, and paid placements, are more likely to be recognized and cited in search engine results pages, including AI Overviews.
That consistency helps solidify your brand across the three key AI SEO pillars: entity recognition, semantic relevance, and authoritative citations. When your content, PR, and paid efforts echo the same message, it signals trust to both users and search engines.
Building SEO Momentum Across Your Marketing Channels
Social media posts amplify your SEO by reinforcing entities and driving engagement signals.
Platforms like TikTok, Instagram, and LinkedIn are now part of the search journey. With social content appearing in search results, these channels are critical for reinforcing relevance, brand awareness, and your online presence.
Using keywords in bios and captions/text posts to reflect your brand and services.
Linking consistently to your core SEO pages.
Repurposing high-quality content into bite-sized posts to boost visibility.
Using hashtags strategically to build topical associations and reach your target audience.
Even more importantly, optimized social profiles with consistent NAP (name, address, phone number) data contribute to local SEO and entity alignment.
By driving traffic and user engagement, social also sends quality signals that search engines interpret as ranking factors. This not only improves on-page SEO but also strengthens your presence in organic search results and social search algorithms.
PR & earned media: link-building powerhouse
Earned media strengthens SEO by building authoritative citations and backlinks.
A press hit or podcast appearance isn’t just good publicity; it’s an SEO asset. Media mentions and thought leadership build domain authority and keyword associations that help you rank higher in organic search.
Ways to reinforce SEO in PR efforts:
Include locked-in phrases (your preferred product or service descriptions) in boilerplate bios and releases.
Syndicate press releases via newswire services to generate multiple backlinks and citations.
Contribute guest posts to relevant industry blogs with links to cornerstone content.
Promote media wins on social channels and your website to extend reach and reinforce relevance.
These earned links and mentions feed directly into Google’s understanding of your authority.
They can also boost brand awareness and credibility, which in turn fuels more engagement, links, and overall SEO success. In AI search results, those citations often become the deciding factor in whether your content gets featured.
Paid advertising & email campaigns: driving SEO clickstream data
Paid campaigns and email traffic support SEO by sending quality signals to key pages.
While paid search/PPC, digital ads, and email don’t directly influence search rankings, they impact user behavior metrics like pageviews, bounce rate, and time on page, all of which contribute to overall SEO performance.
Use paid advertising (paid search/PPC and digital ads) and email to:
Drive targeted traffic to SEO-priority pages.
Retarget users to increase return visits and page engagement.
Feature blogs or cornerstone content in newsletters to boost visibility.
When users consistently visit and engage with your site after a paid ad or email click, analytics and tools like Google Analytics pick up on those signals.
They show that your content meets user intent and delivers value. In AI search engines, where quality content and user signals are ranking factors, this kind of reinforcement is critical.
Tracking Your SEO Wins in AI Search
Tracking tools reveal how your marketing impacts SEO visibility in AI-powered search.
You can’t improve what you can’t measure. Fortunately, new tools make it easier to track your AI search website traffic.
Here’s what to monitor:
Referral traffic from generative AI sources
Presence in AI Overviews or AI-generated responses.
Entity recognition for your brand and key pages in tools like Scrunch AI.
Search engine rankings and keyword rankings in traditional search. You should still care about organic search rankings because they are still used by most audiences, and they influence AI search results.
Tools like Scrunch AI, Semrush, and Advanced Web Ranking are rolling out new features to help track keyword visibility and AI answer inclusion across different search results.
The ability to measure these AI SEO metrics gives your team the confidence to double down on what’s working and identify new content marketing opportunities that align with search intent and digital marketing best practices.
Higher Ed Example: When Marketing Plays as a Team
An integrated marketing strategy helps universities dominate AI search with consistent brand signals.
Let’s take higher education as a case study. Universities have complex websites with multiple departments, programs, and voices. When every touchpoint supports a unified SEO strategy, it makes a measurable difference in organic traffic, visibility, and user experience.
That’s like getting ready to snap the ball without having a play drawn up.
Here’s what it looks like when all higher ed digital marketing channels play like a team to support SEO:
Press mentions are strategically related to, and link to, key website pages.
Faculty speaking engagements are published on YouTube and social media.
Social media posts present the same info as your blogs in a format designed specifically for that platform.
Faculty bios link to relevant departments, publications, and press mentions.
PR campaigns and social posts highlight research topics tied to search intent.
Paid ad teams run ads to SEO-targeted website pages and blogs.
Podcast appearances link to and mention key degrees and programs alongside your brand name.
At Search Influence, we’ve helped higher ed clients align SEO strategy with marketing efforts by identifying opportunities to promote targeted programs and degrees through traditional methods that support SEO, and by republishing assets online in a way that is best found and leveraged by search engines and AI models.
When SEO, PR, social, paid, and content marketing teams share data and strategy, the result is a powerful flywheel that delivers relevant content, builds domain authority, and earns organic traffic.
Bringing It All Together: Your Winning SEO Playbook
To win in the AI search era, you need every part of your digital marketing team working toward one goal: SEO success.
Here’s how your marketing supports the core principles of AI-driven SEO:
Entities: Use structured content and consistent messaging to help search engines understand your brand and offerings.
Semantic relevance: Align content across platforms to reinforce semantic relevance and meet user intent.
Citations: Earn trust and build authority through strategic outreach, earned media, and consistent engagement.
A data-driven, coordinated approach ensures you’re not just showing up, but standing out.
FAQ: Marketing, AI SEO, and Brand Authority
How does social media help SEO rankings?
Social media boosts SEO by increasing entity mentions and driving engagement signals.
Search engines and users alike take note of your brand’s presence across platforms. Social profiles with complete business info, regular content posts, and linked landing pages help clarify who you are and what you do. When your content is widely shared, it gains visibility and relevance in the eyes of search engines.
How does earned media drive SEO success?
Earned media strengthens SEO with backlinks and authoritative citations.
Publications, podcast appearances, and industry blogs serve as third-party validators. These citations build trust and domain authority, two key elements in both traditional SEO and AI-driven rankings.
What’s the relationship between PPC and SEO?
Paid search (PPC) supports SEO by driving traffic and reinforcing branded search terms.
Paid search helps fill gaps while organic SEO takes time to build. When users see both your ad and your organic listing in the search engine results pages, they’re more likely to click. That overlap improves brand recognition, click-through rate, and long-term search performance.
How do you track AI search visibility?
AI SEO tools measure your brand’s presence in AI Overviews and conversational search.
Emerging platforms like Scrunch AI are designed specifically to track AI search visibility. They track how often your content appears in Google’s AI Overviews, ChatGPT citations, and other AI-driven results. Pair that with traditional metrics in Google Analytics and Google Search Console for a complete view of performance.
Why is branding important for AI search visibility?
Strong branding improves AI search visibility by helping engines recognize and prioritize your brand as a trusted entity.
When your name, offerings, and messaging are consistent across the web, from your website and social channels to business directories and review platforms, you build trust. That clarity and consistency make it easier for AI to pull accurate information about your brand and include it in AI-generated responses.
Ready to Win With SEO? Let’s Talk.
Want your marketing efforts to work harder for SEO and get results in AI search?
At Search Influence, we help brands align every part of their marketing strategy to drive visibility, authority, and engagement where it matters most. Our experts bring together quality content, technical SEO, paid media, and brand strategy to help you rank in search engine results and show up in AI-generated answers.
You’ve probably noticed search isn’t what it used to be. The “10 blue links” are buried under AI-generated answers, featured snippets, and who-knows-what pulled from who-knows-where.
So if you’re in SEO, the obvious question is: what now?
That’s the focus of a recent conversation between Will Scott, CEO of Search Influence, and Will Brooks on the Partnerships for Profit podcast. They didn’t talk theory. They talked about real-world shifts in how AI is reshaping search and what marketers can do to stay relevant.
One of Will’s most important points is that SEO isn’t going away. It’s just evolving.
“It’s not about chasing rankings anymore,” he says. “It’s about making sure the machine understands that you are the best result.”
That means writing for both humans and machines. Google’s AI Overviews, ChatGPT, and Gemini all rely on systems that prioritize context, relationships, and structure — a big change from the days of exact-match optimization.
What This Looks Like in Practice
If you’re thinking, “Okay, so what should I actually be doing differently?” here’s what came out of the episode:
Structure matters more than ever. Use schema, clear headings, and answer-based formatting. Will explained how internal linking and semantic cues are essential to showing up in AI results.
RAG is real. That’s Retrieval-Augmented Generation — how AI pulls from sources like your website to answer a question. If your content isn’t clear and accessible, it won’t be pulled. Tools like the Web Content Chunker can help structure content for better AI processing.
AI tools can help, but don’t replace strategy. Will talked about using AI SEO tracking tools to speed up workflows, but emphasized they’re only effective when used by people who know what they’re doing.
“The AI’s not going to save you,” Will joked. “But it might save you time if you use it right.”
One example he shared: A healthcare client where AI-assisted content helped speed up landing page creation by 40%, but only after a strategist built a proper outline and prompt structure first. Without that, the outputs were generic and flat.
So, What Should You Do Now?
Here’s the short version:
Audit your content. If it’s full of fluff, unclear, or hard to navigate, it’s probably invisible to AI systems. Comprehensive site audits can help identify these gaps.
Write with structure. Think FAQs, summaries, and natural language, not walls of text.
Understand your entities. Your brand, products, and topics need to be clearly defined so search engines know how they connect. Technical SEO expertise plays a big role here.
Experiment with AI, but don’t blindly trust it. Use it to brainstorm, draft, and revise, but always edit with human judgment.
Why This Conversation Matters
This episode is worth your time not because it has “hot takes” but because it grounds big ideas in practical reality. Will doesn’t hype the tech. He talks about what’s working (and not) across real campaigns, including insights from the latest SEO trends and challenges his team is navigating.
If you’re trying to figure out how to keep your content visible in an AI-powered search environment, this is a solid place to start.
SEO isn’t dead. It’s just growing up. And like any maturing system, it rewards clarity, credibility, and consistency over gimmicks.
If you’re willing to adapt, there’s a real opportunity to stand out, not just in search results, but in the answers users actually see. Want to see how AI-ready your website is? Check out our AI Website Grader for a comprehensive assessment.
