When Google shows an AI summary, Pew Research found that only 8% of visits ended in a click on a traditional result, against 15% when no summary appeared. That gap is why SEO, GEO and AEO suddenly share a budget line, a vendor pitch deck and a lot of confusion. Here is the glossary I wish my team had a year ago, with a view on which terms deserve money.
The short version: three acronyms, one overlapping job
Start with definitions, because vendors blur them on purpose.
- SEO (search engine optimization): earning visibility and clicks in ranked search results.
- AEO (answer engine optimization): shaping content so a system can pull a direct answer from it, whether that is a featured snippet, a voice assistant or a chatbot.
- GEO (generative engine optimization): improving the odds that generative systems such as ChatGPT, Perplexity, Gemini or Google AI Overviews mention or cite your brand in a synthesized response.
The difference is the output. SEO competes for a position on a page. AEO and GEO compete for a sentence inside an answer.
So are they three disciplines? Google says no. In its own documentation on optimizing for generative AI features, Google defines both terms and concludes that optimizing for generative AI search is optimizing for the search experience, and thus still SEO. Search Engine Journal’s breakdown notes that this stance now sits in published documentation rather than conference remarks, which gives you something official to cite when a vendor tells you otherwise.
Treat AEO and GEO as measurement lenses on top of SEO, not as new departments. The work overlaps heavily. The reporting does not.
Why the acronyms exist at all
Because user behavior changed faster than reporting did.
Pew Research Center tracked real browsing sessions. As summarized by Search Engine Journal, the Pew analysis covered more than 68,000 search queries from over 900 adults. The report also found that only 1% of users clicked a link inside an AI summary itself.
That means a brand can be named in an answer, influence a purchase, and never register a session in analytics. Ranking is no longer the only scoreboard. Mentions, citations and sentiment inside answers now matter, and they are harder to count.
The same study found that Wikipedia, YouTube and Reddit were the most frequently cited sources, and together they accounted for 15% of the sources listed in the AI summaries Pew examined. Two of those three are community and creator ecosystems. If you run influencer programs, that should get your attention.
A working glossary beyond the big three
The acronyms travel with a vocabulary. Here are the terms you will hear in agency pitches, with plain meanings.
- AI Overviews and AI Mode: Google’s generative answer layers in Search.
- RAG (retrieval-augmented generation): the model fetches documents from an index, then writes an answer based on them. Per Google’s guide, its AI features rely on RAG.
- Query fan-out: one question gets split into many sub-searches behind the scenes. Your page may be retrieved for a query nobody typed.
- Citation: a linked source in an AI answer. Mention: a brand named without a link.
- Share of voice (AI): how often your brand appears across a fixed set of prompts versus competitors.
- Entity: a clearly defined thing (brand, product, person, creator) that machines can distinguish from similar ones.
- llms.txt: a proposed file meant to guide AI crawlers. Google says you don’t need it for its search.
- Chunking: splitting pages into small answer-sized pieces for AI systems.
- Commodity vs. non-commodity content: generic advice anyone could write versus content with firsthand insight.
What is hype and what is real?
Here is where budgets get wasted.
Google’s guide includes a mythbusting section. According to Search Engine Journal’s coverage, Google says site owners can ignore llms.txt and other special files, chunking content for AI, rewriting content for AI systems, and seeking inauthentic mentions. It also says no special schema.org markup is needed for generative AI search, though structured data still helps with rich results.
Two caveats, because I would be overselling otherwise. First, this is Google’s view of Google Search. ChatGPT, Perplexity and Claude run their own retrieval, and Google’s documentation cannot speak for them. Second, “not required” is not “useless.” Our piece on schema markup and creators makes the practical case: it won’t lift rankings by itself, but it removes ambiguity about who a creator is and what they claim.
What Google does emphasize is plain. Make content that adds something non-commodity. Keep pages indexable and eligible for snippets. Fix duplicate content and page experience. For products and local businesses, keep Merchant Center feeds and Google Business Profiles accurate.
If a GEO proposal leads with llms.txt or content chunking, ask what evidence supports it for the engines you actually care about. Then ask for a pilot, not a retainer.
Where influencer and creator programs fit
Generative systems summarize what the web says about you. Much of that is what creators, reviewers and forum users say. That makes creator content a citation surface, not just a reach channel.
Practically, this changes three things:
- Briefs. Give creators verifiable specifics (test conditions, pricing, comparisons) instead of scripted praise. We cover this in briefs built for AI citations.
- Landing pages. Pages that creators link to need claims you can substantiate, because those pages become source material.
- Link tactics. Volume link-building matters less when engines weigh clarity about who you are. See why entity clarity now carries more weight, and note that Google’s guide warns against manufactured mentions.
Compliance sits underneath all of it. Paid creator content that reads like independent opinion can get quoted by an AI as independent opinion. Disclosure discipline protects you twice.
How do you measure any of this?
Carefully, and with skepticism.
A fixed panel of prompts, run on a schedule across engines, beats a vendor’s proprietary visibility score because you control the inputs. We lay out that case in query panels versus third-party scores. Build the panel from real customer language, include branded and unbranded prompts, and log the date, engine and answer text.
If you do buy tooling, trackers disagree with each other. Run two or three against the same panel before signing anything, which is the approach in our comparison of Otterly, Peec and Profound.
Also audit what the models say about you. Wrong pricing or invented claims spread quietly, and a chatbot brand audit is cheap insurance.
One more rule: report AI visibility next to, not instead of, organic traffic and conversions. A mention count without revenue context is a vanity metric with a new name.
Do you need a separate GEO budget?
Usually not at first. Fund a small measurement pilot, keep your SEO fundamentals strong, and shift spend only when your panel shows a gap that content or creator work can close. Hiring a “GEO agency” before you know your baseline is buying a cure before the diagnosis.
FAQs
What is the difference between SEO, GEO and AEO?
SEO aims for ranked positions and clicks in search results. AEO aims to supply the direct answer to a question. GEO aims to get your brand mentioned or cited inside AI-generated responses. Google’s documentation treats AEO and GEO as part of SEO, so they are best viewed as overlapping goals rather than separate disciplines.
Is GEO just SEO with a new name?
For Google Search, largely yes. Google states that optimizing for generative AI search is still SEO. For other engines such as ChatGPT or Perplexity, retrieval and citation behavior can differ, so the measurement is worth doing separately even if the underlying content work is shared.
Do I need an llms.txt file?
Google says you don’t need llms.txt or other special AI files to appear in its generative AI search features. It may be harmless to add, but don’t pay for it as a visibility strategy without evidence from the engines you are targeting.
Does structured data help with AI Overviews?
Google says there is no special schema.org markup required for generative AI search. Structured data still supports rich result eligibility and helps clarify entities, so keep it accurate as part of normal SEO.
How do I track brand visibility in AI answers?
Build a fixed set of prompts based on real customer questions, run them regularly across the major engines, and record mentions, citations, sentiment and accuracy. Compare results from more than one tool before committing budget, and connect the findings to traffic and conversion data.
Why do influencer programs matter for AI search?
AI answers draw on what people say across videos, forums and reviews. Pew found Reddit and YouTube among the most cited sources, so credible creator content can shape how your brand is described. Briefs that give creators verifiable details improve the quality of what gets quoted.
This week, write 25 real customer questions, run them across ChatGPT, Gemini and Perplexity, and save the answers as your baseline. That one spreadsheet will tell you whether you have a GEO problem or just an SEO one.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
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2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
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Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
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Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
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The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
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NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
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Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
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Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →