SEO, AEO and GEO are three names for getting found: SEO (search engine optimization) earns a place in ranked search results, AEO (answer engine optimization) earns the direct answer an engine gives, and GEO (generative engine optimization) earns a mention or citation inside an answer that a generative AI writes. AEO and GEO overlap so much that HubSpot and Profound treat them as one practice, and Google says that optimizing for its AI features is still SEO. The difference that matters in practice is the surface you are judged on: a results page, a single answer or a written AI response.
This guide defines each term, traces where AEO and GEO came from, compares all three, and covers what a marketing team should change and how to measure the result. It is current as of November 2026.
What do SEO, AEO and GEO mean?
SEO
SEO is the work of making pages crawlable, indexable and relevant enough to rank in a search engine's results, so people click through to your site. Google's guidance on AI features lists the same fundamentals: allow crawling, make content findable through internal links, keep important content as text, and give pages a good page experience (Google Search Central).
AEO
AEO is the work of becoming the answer an engine gives to a question. It began with surfaces where a search engine shows one answer instead of ten links, such as featured snippets, knowledge panels and voice results. Google describes a featured snippet as a box that shows the descriptive text first, and its systems decide which page gets one. You cannot mark a page as a featured snippet.
The term now stretches further. HubSpot uses AEO as an umbrella for efforts to appear in answer-driven experiences, including People Also Ask, voice results, ChatGPT, Gemini, Perplexity and Google AI Overviews.
GEO
GEO is the work of getting your content used and cited when a generative AI system writes an answer from several sources. In the research that named it, a generative engine searches for information and builds its response from multiple sources with a language model. In current usage the term points at ChatGPT, Gemini, Perplexity and Claude, plus Google's AI Overviews and AI Mode.
AIO and other acronyms
AIO has two common meanings. It can stand for Google's AI Overviews, a single feature. Some sources also use it as another name for GEO: Wikipedia lists both AEO and AIO as aliases. So "AIO vs GEO" is either a feature compared with a practice or two names for the same practice. Check which one the author means before you compare advice.
Where did the terms AEO and GEO come from?
AEO
AEO grew out of optimizing for featured snippets and voice answers. Profound ties it to featured snippets and knowledge panels, and Omnia to featured snippets and voice assistants. We could not find a primary source for who coined the term or when, so we do not give a date.
The meaning has drifted since. Search Engine Journal's summary of Microsoft Advertising's January 2026 guide reads AEO as agentic engine optimization: making content easy for AI assistants and agents to retrieve and present. That is a third meaning of the same three letters.
GEO
GEO as a term comes from a research paper, "GEO: Generative Engine Optimization", by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande. It was first posted on arXiv on November 16, 2023 and accepted to KDD 2024. The latest version lists authors at IIT Delhi and Princeton University, plus two independent researchers.
The paper proposes GEO as a black-box framework for improving how visible a piece of web content is in generative engine responses. It also releases GEO-bench, a benchmark of 10,000 queries, and tests nine methods. Its main findings:
- Adding statistics, adding quotations and citing sources gave the biggest gains: roughly 30 to 40 percent relative improvement on one of its two visibility metrics, position-adjusted word count.
- Keyword stuffing gave little to no improvement.
- Lower-ranked sources gained more from these methods than top-ranked ones.
Treat these as lab results. The authors tested on their own engine (gpt-3.5-turbo reading the top five Google results) and on a 200-query sample from Perplexity, in 2023 and 2024. They do not tell you what today's engines reward.
The term reached marketers in 2025. On May 28, 2025, Andreessen Horowitz published "How Generative Engine Optimization (GEO) Rewrites the Rules of Search" by Zach Cohen and Seema Amble. It argues that visibility now means appearing inside the generated answer, and that how often a model references you matters alongside click-through rate.
What Google says
Google's guide to optimizing for generative AI features in Search, published in 2026, addresses AEO and GEO directly and says optimizing for generative AI search is still SEO. It also says these features rely on Google's core ranking systems and Search index, and that you do not need to split content into small pieces, rewrite it for AI, add special markup, or create AI text files such as llms.txt to appear. The guide covers Google's features only. It says nothing about how ChatGPT or Perplexity choose sources.
Are AEO and GEO the same thing?
Mostly, and several sources say so outright:
- Profound's article is titled "AEO vs. GEO: Why they're the same thing (and why we prefer AEO)".
- HubSpot says that for most teams the two are the same strategy described with different words.
- Omnia calls AEO, GEO and AI SEO three names for one practice today.
The disagreement is about scope, not tactics. HubSpot notes that some SEOs keep AEO for traditional search features and use GEO for generative AI, while HubSpot itself uses AEO as the broad term. Where tactics do lean different ways, it is a matter of emphasis. WsCube Tech's comparison, for example, pairs AEO with short, direct answers and GEO with structured, sourced, comprehensive content.
Pick one term for internal use, define it once, and report results by surface, because the surface decides what you can measure.
How do SEO, AEO and GEO compare?
The columns below follow the most common usage. Many sources merge the AEO and GEO columns, as covered above.
| Aspect | SEO | AEO | GEO |
|---|---|---|---|
| Goal | Rank pages so people click through to your site | Be the answer an engine gives to a question | Be named and cited in answers a generative AI writes |
| Where results appear | Ranked results on Google, Bing and other search engines | Featured snippets, People Also Ask, knowledge panels, voice results and often Google AI Overviews | ChatGPT, Gemini, Perplexity, Claude and Copilot, plus Google AI Overviews and AI Mode |
| What success looks like | Your page ranks well and earns the click | Your text is shown as the answer, with or without a click | Your brand is mentioned, described correctly and cited across many questions and engines |
| How it is measured | Rankings, impressions, clicks and traffic, from Search Console and analytics | Whether you hold the snippet or an AI Overview citation for a question, and impressions in Search Console's generative AI report | Mention rate, citation rate, share of voice and position across a fixed set of questions on each engine |
| Main levers | Crawlability, indexing, useful original content, internal links, backlinks, page experience | Answer-first sections, clear definitions under question headings, structured data that matches the page | Original data, quotes and cited sources on the page, consistent descriptions of your brand, mentions on reputable third-party pages |
The levers come from Google's AI features guidance, HubSpot's list of AEO and GEO levers, the GEO paper above and a16z's description of what SEO rewarded.
AEO vs SEO
SEO asks whether your page ranks. AEO asks whether your text is the answer. A page can rank in the top ten without supplying the answer, and a page can supply the answer without earning the click. The tactics are close: a page that states the answer plainly near the top, under a heading that matches the question, serves both.
GEO vs SEO
An SEO result is a list you can check and position yourself in. A GEO result is a written answer that names some brands and cites some pages, and what you track is your share of those answers. The two still depend on each other. A page has to be indexed and eligible to show a snippet before Google's AI features can use it. OpenAI's crawler documentation says sites that block OAI-SearchBot will not appear in ChatGPT search answers, though they can still show up as navigational links.
AEO vs GEO
AEO usually points at the single answer, GEO at the written response that cites several sources. In daily work that is the same job done on different surfaces, so the useful question is where you check: in Google's snippet and AI Overview, or in chat assistants.
Is SEO dead?
No. Three facts from primary sources point the same way.
- Google says its AI features rely on its core ranking systems and Search index, and that a page must be indexed and eligible to show a snippet to appear in them.
- Google reports AI feature appearances inside Search Console. Since June 3, 2026 it also has a Search Generative AI performance report that counts impressions of your URLs in AI Overviews, AI Mode and Discover. Google says it rolled out to all websites by August 31, 2026.
- Other engines read the web too. OpenAI says a site has to allow OAI-SearchBot to appear in ChatGPT search answers.
What has changed is the click. Pew Research Center analyzed Google browsing by 900 U.S. adults in March 2025. Users clicked a traditional result link in 8% of visits to pages with an AI summary and in 15% of visits to pages without one. They clicked a link inside the summary in 1% of visits. AI summaries appeared on 18% of the searches Pew studied. That is 2025 data and a U.S. sample, so check your own Search Console numbers before drawing conclusions for your site.
What changes in practice for a marketing team?
- Track questions as well as keywords. A keyword has a rank. A buyer question has an answer, and the answer names some brands. Choose a fixed set of questions your buyers ask and check them on each engine, as in the worked example below.
- Lead with the answer. HubSpot recommends answer-first content and short, quotable statements. Google says you need no special format for its features, so treat this as good writing that costs little, not as a ranking trick.
- Back claims with evidence a reader can check. In the GEO paper, statistics, quotations and cited sources helped and keyword stuffing did not.
- Earn mentions off your site. HubSpot lists repetition of key claims across reputable sources as a lever. Search Engine Journal's summary of Microsoft's guide lists verified reviews, press coverage and certifications as trust signals.
- Decide crawler access on purpose. OpenAI separates OAI-SearchBot, which surfaces sites in ChatGPT search, from GPTBot, which collects content that may be used to train its models. Allowing one does not require allowing the other.
- Report AI referrals separately. HubSpot suggests tracking sessions from sources such as chatgpt.com, perplexity.ai and gemini.google.com, and notes that citations nobody clicks still influence buying decisions and are harder to track. Referrals will undercount your presence.
bot.optimizer is one way to add answer-first summaries and structured data across a whole site. It connects to a CMS, imports every page, and generates a summary, key facts, FAQs and JSON-LD structured data for each one, which a team reviews, edits and approves before publishing through the CMS. As of November 2026 it works with WordPress (self-serve), Drupal and HubSpot (set up together with the customer), and Webflow is in beta. Google says none of this is required to appear in its AI features, so measure whether it changes your results in the other engines. If you run one of these platforms, see our guides to GEO and AEO on WordPress, on HubSpot and on Drupal.
What stays the same?
- Pages must be crawlable, indexed and eligible for a snippet. Google lists this as the technical requirement for its AI features.
- Original, useful content wins over summaries of common knowledge. Google's guide asks for non-commodity content with expert or first-hand insight.
- Text, page experience and honest structured data still matter. Keep important content as text, and make structured data match what the page says. Google says structured data is not required for its AI features.
- Shortcuts still fail. Google says content made mainly to manipulate rankings or AI responses by targeting query variations violates its scaled content abuse policy. The GEO paper found keyword stuffing did not help.
Does llms.txt belong in an AEO or GEO plan?
Treat it as optional. Google says its Search does not use llms.txt files and that creating one neither helps nor harms your visibility in Google Search. Other services may read it. Our llms.txt guide covers what the file is, how to write one and who reads it, so you can decide with the facts.
How do you check where you stand? A worked example
Take one question a buyer asks, for example "which CRM suits a ten-person design agency?" Then run the same check on every engine you care about.
- Search the question on Google. Record your rank, whether a featured snippet or an AI Overview appears, and which pages the AI Overview cites.
- Ask the same question in ChatGPT, Gemini, Perplexity and Claude. Record whether your brand is named, how it is described, where it sits in any list, and which URLs are cited.
- List the cited pages that are not yours. Note whether you appear on them.
- Compare the results and use the table below as a starting checklist.
- Make one change, then repeat the check after the change has been live for a few weeks.
| What you see | What to check first |
|---|---|
| You rank well but AI answers do not cite you | Is the direct answer near the top of the page? Does the page carry its own data, quotes or sources? Which pages are cited instead? |
| AI answers name you but you rank poorly | Which third-party pages mention you? Is your own page indexed, and does it answer the question? |
| AI answers describe you wrongly | Do your pages and public profiles describe the product the same way? |
| You do neither | Start with the basics: crawl access, indexing and whether any page answers the question |
Done by hand, this takes a few minutes per question and stops being practical past a handful of questions and engines. A single check is also one sample, so it cannot show a trend.
How do you measure SEO, AEO and GEO in one place?
No single metric covers all three, because they live in different data. You need three sources:
- Search Console and analytics show what happened on your site: rankings, impressions, clicks and traffic, including Google's generative AI report.
- Answer tracking shows what happened inside AI answers, which often have no click: whether you are named, cited and how you rank against competitors, per engine.
- Search data shows the demand and competition behind the questions: keywords, rankings, backlinks and live results.
Google's guide notes that no third-party tool has access to its internal ranking or AI systems. Any tool that tracks AI answers samples what engines show. It does not read their internals.
bot.radar is the answer-tracking layer. It generates the questions a brand's buyers ask AI assistants, runs them every day, and records which brands are named, cited and ranked. Every plan includes all seven engines: ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity, Claude and Copilot. Plans are counted in units, where one unit is one question tracked on one engine for a month: Brand includes 150 units and Agency 450, pooled across its workspaces. It reports visibility rate, average position, share of voice and citation rate, and links each metric to the raw answer and the cited URLs.
bot.mcp brings that data and SEO data into an assistant such as Claude, ChatGPT, Gemini or Cursor over the Model Context Protocol. You ask a question in the assistant and it reads from your bot.spot workspace. On the AI side it covers visibility, share of voice, citation rate and average rank per engine, the recorded answers and the sources they cite. On the SEO side it covers rankings, keywords, keyword gaps, backlinks, live Google results with the AI Overview and its sources, and page checks. It links the two where they meet: search competitors that AI answers also name, and referring domains that AI answers also cite. It keeps rankings and citations apart, because a backlink or a ranking is not an AI citation.
bot.mcp has limits you should know before you rely on it:
- It does not keep ranking history. Search data is fetched live and cached.
- It does not measure traffic, clicks or conversions, and it has no Search Console or analytics integration. Keep using those tools for your own site data.
- Search volume is Google search volume. It is not the number of people asking an AI engine.
- Reading changes nothing, and every write shows the exact change and waits for your approval. It needs a bot.spot account to sign in.
Frequently asked questions
What is the difference between SEO, AEO and GEO?
SEO aims to rank pages in search results so people click through. AEO aims to be the direct answer an engine gives, such as a featured snippet or an AI summary. GEO aims to get your brand named and cited in answers that a generative AI writes. In practice AEO and GEO overlap heavily, and both build on SEO.
Is AEO the same as GEO?
Largely, yes. HubSpot, Profound and Omnia all describe them as the same practice under different names, and Wikipedia lists AEO as an alias of GEO. Some writers reserve AEO for snippets and voice and GEO for chat assistants, but the tactics overlap. Choose one term, define it, and report results by surface.
Is SEO dead with AI?
No. Google says its AI Overviews and AI Mode rely on its Search index and core ranking systems, so pages still need to be crawlable and indexed. What has changed is the click: Pew Research found users clicked a traditional result in 8% of Google visits with an AI summary against 15% without, in 2025 data from U.S. adults.
What is GEO in marketing?
GEO, or generative engine optimization, is the work of getting a brand's content used and cited in answers written by generative AI tools such as ChatGPT, Gemini, Perplexity and Claude. The term comes from a 2023 research paper by authors at IIT Delhi and Princeton, accepted to KDD 2024. Marketers measure it with mention rate, citation rate and share of voice across a fixed set of buyer questions.
Do I need a separate strategy for AEO and GEO?
Not usually. Start with sound SEO: crawlable, indexed, original pages that answer the question. Then add answer-first writing, evidence a model can cite, and mentions on reputable third-party sites. Add a separate way to measure AI answers, because rankings and clicks do not show whether an AI names you.
Does llms.txt help with AEO or GEO?
Google says it does not use llms.txt in Search and that the file neither helps nor harms visibility there. Other services may read it, and creating one is low effort. Our llms.txt guide explains what it is and who supports it.
Summary
SEO, AEO and GEO describe the same underlying job, being found and chosen, on different surfaces. AEO and GEO overlap so heavily that many sources treat them as one practice, and Google says optimizing for its AI features is still SEO. The GEO term comes from a 2023 paper, and AEO grew out of featured snippets and voice answers. For a marketing team, the work that changes is measurement: track buyer questions per engine as well as keywords. The work that stays the same is publishing original, crawlable, indexed pages that answer the question.