--- title: "The AEO Glossary: What AI-Search Vendors Actually Mean" description: "A practitioner’s glossary of AEO, GEO, citations, prompt tracking and AI share of voice, with the vendor spin stripped out." image: "https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6ab9f7c1e4d07cddbb949396_777100cb-b0b3-45bd-a137-8f46330154ec.png" --- September 28, 2026 • min read # The AEO Glossary: What AI-Search Vendors Actually Mean ![Young man with curly hair wearing a black shirt outdoors against green foliage background.](https://cdn.prod.website-files.com/6821efca072e48f6f495a47e/68562d390107b3921a6e3d68_1743932904108.jpg) **Alexander Perleman**, Head Of Product @ groas Ex-Goldman Sachs and Stanford Computer Science alex@groas.ai [LinkedIn](https://groas.com/post/the-aeo-and-ai-search-glossary-what-ever#) ![Cover image for: The AEO Glossary: What AI-Search Vendors Actually Mean](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6ab9f7c1e4d07cddbb949396_777100cb-b0b3-45bd-a137-8f46330154ec.png) Half the terms in an AEO sales deck sound precise until you ask three vendors to define them. I sat through three demos in the past month and heard **AEO, GEO, prompt tracking, knowledge graph** and **citation building** used to mean five different things. I ran Google Ads accounts long enough to watch match types get redefined underneath me. I know a vocabulary land grab when I see one. The AI-search category coined a glossary faster than it built working products to attach the words to. So here is the version I use with clients: a plain definition, the place vendors bend it, and the moment it matters. Read each term as a sales claim first and a technical claim second. Ask what work the word does for the person selling it. Then ask what work it does for your account. I used to tell clients SEO was SEO; I was wrong about how quickly the label would get repackaged. The underlying work still deserves a closer look than the name on the invoice. #### AEO (Answer Engine Optimization) **AEO means structuring your content so an answer engine can serve it as a direct answer.** One question, one answer, your business named in it. In practice, that means clear factual pages an engine can use without guessing: what you sell, who it is for, what it costs, where you operate and why you are different. If a buyer asks one of those questions and your page makes them hunt through three paragraphs of positioning copy, a new acronym will not rescue it. The misuse is calling ordinary SEO work AEO and attaching a new invoice. Most AEO pitches I have seen recycle title tags and schema, then pretend the job is done. It is not. [AEO focuses on the direct answer; GEO focuses on being cited inside a generative summary](https://www.tenspeed.io/blog/answer-engine-optimization-vs-generative-engine-optimization). The foundation overlaps, but the surface and the way you measure it differ. **Ask to see the answer you are trying to earn**, not just a checklist of page changes. AEO matters when a buyer asks one question instead of clicking through ten links. #### GEO (Generative Engine Optimization) **GEO means working to get your brand cited as one of several sources inside a generated summary, such as a Google AI Overview.** Not the single answer. One voice in the footnotes. Vendors often use AEO and GEO interchangeably because neither label has a referee. The history is useful here: [GEO comes from a November 2023 academic paper, later accepted to ACM SIGKDD 2024, about optimization for generative engines that cite multiple sources](https://www.tenspeed.io/blog/answer-engine-optimization-vs-generative-engine-optimization). The sales vocabulary stretched from there. My working distinction is simple: if the surface names one winner, call it AEO. If it draws on several sources, call it GEO. Do not buy either label in isolation. **Buy based on the surface your buyers use** and the work a vendor will do to make you visible there. The acronym cannot tell you whether anyone will write a page, fix a source or measure the outcome. #### Citation / source citation **A citation means an AI answer links to or names your business as a source; a mention means it names you in the answer text.** You can get one without the other. That distinction is where a lot of reporting gets slippery. Vendors blend citations and mentions because the combined number looks bigger. Across roughly 16 million brand appearances, [about 40% of AI citations did not name the source brand in the answer text](https://searchengineland.com/ghost-citation-problem-ai-483794). The gap also differed by engine: 52% for Perplexity, 49% for Google AI Mode, 41% for AI Overviews and 37% for ChatGPT. A source link tucked away from the answer text is not the same experience as seeing your brand in the recommendation a buyer reads. Then split the count by engine. In one test of 1,429 answers, [LinkedIn earned 246 Perplexity citations against 6 in ChatGPT, while YouTube earned 214 AI Overview citations against 4 in ChatGPT](https://www.baadigi.com/blog/ai-search-engines-cite-different-sources-study). Each engine draws on different sources, so an aggregate citation count can rise while your presence in the engine that matters to you stays flat. **Ask for citations and mentions separately, by engine.** Otherwise you may pay for visibility you did not get where you needed it. #### Prompt tracking **Prompt tracking means running the same buyer questions through AI-search tools on a schedule and recording who gets named.** It gives you a repeatable view of answers that otherwise change while nobody is watching. Say you spend $20k/month on search. You choose 50 to 200 prompts your buyers actually ask, run them weekly across ChatGPT, Perplexity, Gemini and AI Overviews, and watch whether your citation rate moves. The useful record is concrete: did you appear, which competitor appeared instead, and what source supported the answer? If a prompt keeps showing a competitor, you have a question to investigate rather than a chart to admire. What is noise? An exact rank inside an answer that rewrites itself every Tuesday. I treat prompt outputs like impression share in paid search: directional and useful, never precise to the decimal. A vendor can sell you a larger prompt allowance without helping you understand a single answer. Read the cap on tracked prompts before you sign. Ten prompts tell you little. Five hundred that nobody reviews are an expensive filing cabinet. **Buy the number your team will actually inspect each month**, then use what you find to decide what needs fixing. Coverage is not progress if the report stops at coverage. ![A marketer comparing three AI answers that cite different competitors](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6ab9f7c2e4d07cddbb9493bb_ad19d597-e2ca-4768-8219-c7d22ae28057.png) #### Knowledge graph **A knowledge graph is a machine-readable record of entities, including your business, products and locations, and the relationships between them.** Google has one. So does Bing. Model vendors have looser versions of that connected information. When a vendor promises to ‘publish you to the knowledge graph,’ ask what they will change. Usually the work means cleaner business listings, consistent name, address and phone data, Wikidata and Crunchbase entries, schema on your site, and profiles on sources models already trust. That is useful plumbing. It does not guarantee a citation. I learned the distinction the slow way with local clients: perfect listings can make a business eligible to appear, but they do not make it the one an answer chooses. The answer still has to find stronger proof around that entity. **Treat entity cleanup as a foundation, not a placement order.** Ask which records the vendor will correct and how those corrections connect to the questions your buyers ask. #### Brand visibility / share of voice in AI **Share of voice means your brand mentions divided by all brand mentions across the prompts you track, multiplied by 100.** Ten mentions out of 100 brand appearances gives you 10% share of voice. Simple math, easy to make flattering. The trap is in the blend. A dashboard can average ChatGPT, Gemini, Perplexity and AI Overview numbers into one comforting line that goes up. But [ChatGPT share can differ sharply from Perplexity share, making a blended figure a poor substitute for per-engine measurement](https://siftly.ai/blog/ai-share-of-voice). I have seen accounts look dominant overall while staying invisible in the engine their buyers used most. The prompt set matters, too. A percentage only describes the questions you chose to track; it is not a verdict on every AI answer about your category. Change the questions and the denominator changes with them. That does not make the metric worthless. It makes the setup part of the result. **Ask for the prompt set and the per-engine split before you celebrate.** If a vendor cannot show both, its share-of-voice number is a vanity metric with better fonts. #### Content gap analysis **Content gap analysis means comparing what you have with what you need to rank, earn visibility and get cited.** It is the [structured comparison practitioners have long used for keyword gaps](https://www.vazoola.com/resources/content-gap-analysis), with AI answers added to the inspection. I run it as a buyer-question audit: 1. List the 30 questions buyers ask ChatGPT, Perplexity, Claude and Gemini before they buy from you. 2. Record which brands each answer mentions and cites. 3. Mark the questions where a competitor appears and you do not. 4. Trace the supporting publications, research pages and roundups behind those answers. That last step stops a familiar mistake. A vendor spots an absent brand and recommends another blog post before checking where the answer got its information. More often than not, the gap is not a missing page on your site. It is [an authority and mention deficit across sources models trust](https://www.vazoola.com/resources/content-gap-analysis). One new post cannot fix that on its own. The output should tell you what is missing and where the evidence sits, not merely hand you a long list of suggested topics. **If the report does not name the prompts, competitors and source pages, it is not analysis.** It is a word count. #### Edge-proxy / done-for-you execution **Done-for-you execution means someone ships the fixes instead of handing you a list: publishing pages, repairing technical gaps, earning third-party mentions and refreshing what decays.** A monitoring platform watches and recommends. An execution service does the work and lives with the citation curve. What the deck calls ‘full-stack AI visibility,’ I call *who hits publish*. This is the line that decides what a retainer buys. Platform monitoring typically runs $100–$500/month, but content, technical fixes and PR can add $5,000–$10,000+/month in execution costs. That gap explains much of the buyer regret I hear: the team bought a dashboard when its bottleneck was shipping. Ask one question on every vendor call: **are you selling monitoring or execution?** Monitoring gives you tracked prompts, citation counts and recommendations. Execution publishes the pages, repairs the technical gaps, works on third-party mentions and refreshes content when answers shift. Get the vendor to name which of those jobs it owns. ‘Done for you’ should describe work delivered, not a prettier way to deliver a to-do list. If you already have writers, dev time and digital PR in-house, monitoring can be enough. If you do not, a dashboard gives you a longer backlog. The version of this I respect is [execution that creates content, fixes technical gaps and earns trusted citations](https://groas.com/earned-search), rather than asking you to act on every recommendation yourself. Ask which side of that line your retainer sits on before you sign. ![A dashboard watchtower beside a crew publishing pages](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6ab9f7c2e4d07cddbb9493c8_5717cd4e-e24c-487e-a842-98f93a591804.png) #### The term I would retire: GEO **GEO is the term I would retire.** Not because generative summaries do not matter. They do. AI Overviews sit above search results my old clients paid for click by click, and being cited there can contribute to pipeline. I would retire the label because it makes one connected job sound like two separate disciplines. You need clear factual pages models can parse, consistent entity data across listings and schema, genuine third-party proof from publications and roundups, and per-engine measurement to see which surface moves. Calling half of that AEO and half GEO lets a vendor sell two audits, two dashboards and two retainers for work that belongs in one plan. I spent years untangling match type renames billed as strategy. This feels familiar. On your next sales call, use the glossary as a translation layer. When the rep says *prompt coverage*, write down how many prompts, which engines and how often they rerun them. When they say *citation growth*, ask whether they mean citations, mentions or both, then request the split by engine. When they say *content gaps* or *knowledge graph*, ask for the buyer questions, the sources behind competing answers and who will publish the fix. You will know whether you are buying monitoring or execution, and whether the fee matches the work. Keep the work. Drop the second acronym. **The vocabulary arrived fast; the work still has to ship.** ## Related Posts [![](https://cdn.prod.website-files.com/plugins/Basic/assets/placeholder.60f9b1840c.svg) ##### Autonomous Ad Budget Allocation: Cost and How It Works FAQ Wasting ad budget and can't optimize fast enough? 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