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GEO & AI SEO

Generative Engine Optimization (GEO): The Complete Guide

What generative engine optimization is, how AI engines pick sources, the five GEO pillars and a step-by-step plan to get cited and recommended.

Onxeera
· 9 min read
On this page
  1. What is GEO?
  2. Where did the term “generative engine optimization” come from?
  3. How do generative engines retrieve and cite sources?
  4. What are the five pillars of GEO?
  5. A step-by-step GEO plan
  6. How do you measure GEO results honestly?
  7. What are the most common GEO myths?
  8. How Onxeera helps with GEO
  9. Frequently asked questions

Generative engine optimization (GEO) is the practice of making your business easy for AI assistants such as ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot and Google AI Overviews to find, understand, cite and recommend. Classic SEO aims for a ranked link; GEO aims for a mention or a citation inside the generated answer. It builds on SEO rather than replacing it.

This guide covers what GEO is, where the term came from, how AI engines choose sources, the five pillars that matter, a step-by-step plan, and how to measure results without fooling yourself.

What is GEO?

When someone asks an AI assistant “Who is the best family dentist in Austin?” or “Which accounting software suits a small agency in Dubai?”, they get a written answer, not ten blue links. That answer names some businesses, leaves others out, and often lists the web pages it relied on.

GEO is the work of improving the odds that your business is one of the names in that answer, that the facts about you are correct, and that your pages (or pages that mention you) are among the cited sources. In practice it covers four things:

  • Found: AI search crawlers can reach and read your site.
  • Understood: the engine knows what your business is, where it operates and what it offers.
  • Cited: your pages, or trusted pages about you, are used as sources.
  • Recommended: you are named when people ask for options in your category.

You will also see GEO called “GEO SEO”, AI SEO, LLM SEO or answer engine optimization (AEO). The labels overlap heavily. If you want the distinctions spelled out, read GEO vs SEO vs AEO.

Where did the term “generative engine optimization” come from?

The name comes from a 2023 research paper by Aggarwal and colleagues (from Princeton and other institutions). The paper treated AI systems that write answers from retrieved web sources as a new kind of search engine, a “generative engine”, and asked how content creators could improve their visibility inside those answers.

For a few years the term stayed mostly academic. Interest in GEO grew very fast in 2025 and 2026 as AI assistants added web search, Google rolled out AI Overviews and AI Mode, and business owners started noticing that customers were asking AI tools for recommendations.

Today “GEO” is used more loosely than in the original paper. It usually means the whole practical discipline of AI search visibility, not one specific set of experiments.

How do generative engines retrieve and cite sources?

No AI company publishes its ranking formula, so treat any confident claim about “the algorithm” with care. What we do know is the general shape of the process for engines that search the web:

  1. Crawling and indexing. Each engine relies on crawlers. OpenAI uses OAI-SearchBot to surface sites in ChatGPT search. Anthropic uses Claude-SearchBot. Perplexity uses PerplexityBot. Google AI Overviews and AI Mode run on Googlebot and the normal Google index, and Microsoft Copilot draws on Bing, which uses Bingbot.
  2. Retrieval. When a user asks a question, the engine runs one or more searches and pulls back candidate pages.
  3. Generation. The model writes an answer using those pages plus what it already learned in training.
  4. Citation. Many engines show the sources they used, as links or footnotes.

Two practical consequences follow. First, if the search crawlers cannot reach you, you cannot be retrieved. Second, answers vary. The same question can produce different results depending on the engine, the exact wording, the user’s location, the time and personalisation. Answers through an API can also differ from the consumer app. Any measurement has to account for that.

Curious which kinds of pages get cited most often? See which websites ChatGPT cites.

What are the five pillars of GEO?

1. Access: can AI crawlers reach your site?

Start with your robots.txt, firewall and CDN settings. The important distinction is between search crawlers and training crawlers:

  • Blocking training crawlers (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot) does not remove you from AI search answers.
  • Blocking search crawlers (OAI-SearchBot, Claude-SearchBot, PerplexityBot, Googlebot, Bingbot) does.

Google-Extended controls use of your content for Gemini training and grounding, but it does not affect AI Overviews or Google Search. The full walkthrough is in how to allow AI crawlers in robots.txt.

2. Entity clarity: does AI know who you are?

An AI engine needs to connect your name to one clear entity: a specific business with a type, location, services and contact details. Confusion creeps in when your name, address and phone differ between your website, Google Business Profile, Bing Places, Apple Business Connect and directories.

Fix this with consistent NAP details everywhere and schema.org markup on your site: Organization or a LocalBusiness subtype (Dentist, LegalService, Restaurant and so on), with properties such as sameAs, address, telephone, areaServed and foundingDate. Structured data must match what is visible on the page. Read more in entity SEO for AI search, Organization and LocalBusiness schema and building a brand knowledge graph.

3. Citable content: is there something worth quoting?

AI answers are built from passages. Pages that state things plainly are easier to use than pages full of vague marketing copy. Good citable content tends to:

  • Open with a direct answer to the question in two or three sentences.
  • Use question-style headings that match how people ask.
  • Give specifics: what you do, who it is for, where, how it works, what it costs or how pricing is set.
  • Include a short FAQ with clear, self-contained answers.

See how to write content AI cites and how to write FAQs AI assistants quote.

4. Corroboration: what do other sites say about you?

AI engines rarely rely on one source. When they recommend a business, they often lean on third-party pages: directories, review sites, “best of” lists, local news, industry articles and community threads. If your competitors appear on those pages and you do not, you are at a disadvantage no matter how good your own site is.

The work here is closer to digital PR than to on-page SEO: get listed accurately in relevant directories, earn mentions in roundups, and keep profiles current. One caution: Wikipedia has notability and conflict-of-interest rules, so businesses should not write their own article. More in AI citation sources: profiles and directories.

5. Measurement: are you actually showing up?

You cannot improve what you do not check. GEO measurement means asking AI engines the real questions your customers ask, recording who is named and which sources are cited, and repeating that over time. We cover this in detail below.

A step-by-step GEO plan

This plan works for a single location business in Lahore as well as a software company selling worldwide. Adjust the scale, not the order.

  1. List your customer questions. Write down 10 to 30 questions people ask before buying from you, such as “best physiotherapist in Sydney for sports injuries” or “what is the cheapest way to send invoices from London”. Mix category, comparison and problem questions. Guide: AI prompt research.
  2. Take a baseline. Ask those questions in several AI engines. Note whether you are mentioned, which competitors are, and which pages are cited.
  3. Fix access. Confirm AI search crawlers are allowed and your key pages return real HTML content.
  4. Fix your facts. Align your name, address, phone, website, hours and services across your site and major profiles. Add Organization or LocalBusiness schema that matches the visible page.
  5. Check what AI already says. Ask “What is [your business]?” and “How do I contact [your business]?”. If the answers are wrong, see what to do when ChatGPT has wrong information about your business.
  6. Strengthen key pages. Rewrite your main service and location pages with direct answers, specifics and an FAQ.
  7. Close citation gaps. Look at the pages AI engines cited for your questions. Where a competitor is listed and you are not, find out how to be included.
  8. Re-measure on a schedule. Re-run the same questions monthly or weekly and compare like with like.

For engine-specific detail, see how to rank in ChatGPT, Google AI Overviews and AI Mode optimization, getting recommended by Perplexity and Gemini SEO. Small teams can start with the AI SEO checklist for small businesses, and local businesses should read how to show up for “best [service] in [city]”.

How do you measure GEO results honestly?

Because AI answers vary, a single screenshot proves very little. A fair measurement setup looks like this:

  • Fixed question set. Track the same prompts over time so changes reflect reality, not new wording.
  • Several engines. Results in ChatGPT, Perplexity, Gemini and Claude can differ a lot.
  • Multiple answers per question. Look at mention rate across repeated runs, not one result.
  • Competitor context. Track AI share of voice: how often you are named compared with competitors.
  • Citations and accuracy. Record which sources are cited and whether the facts about you are correct.

Be honest about limits. Results from an API may not match exactly what a customer sees in the app, and you cannot see every personalised answer. Measurement shows direction and gaps, not a guaranteed position. More detail: tracking brand mentions in ChatGPT, Perplexity and Gemini and measuring AI visibility improvements.

What are the most common GEO myths?

  • “GEO replaces SEO.” It does not. Google says AI Overviews and AI Mode have no special requirements beyond normal Search eligibility: your page must be indexed and eligible for a snippet. Crawlable, useful, well-structured pages remain the base.
  • “Blocking GPTBot hides you from ChatGPT search.” GPTBot is a training crawler. ChatGPT search relies on OAI-SearchBot. Blocking one is not the same as blocking the other.
  • “llms.txt is required.” llms.txt is a proposed standard from 2024. Google has said that Google Search does not use it, and other major AI search engines have not officially documented using it. It is a low-cost optional extra, not a ranking factor.
  • “FAQ schema gets you rich results.” Google limited FAQ rich results to well-known government and health sites in 2023. FAQ markup can still help machines read your Q&A, but don’t expect FAQ snippets.
  • “Someone can guarantee you’ll be recommended.” Nobody controls AI answers. Good GEO improves the odds and lets you measure them.
  • “You just need to stuff in keywords.” AI engines work from meaning. Clear facts, consistent entities and third-party corroboration matter more than repetition.

If you are not appearing at all, start with why ChatGPT is not mentioning your business, and for the broader concept read what is AI visibility.

How Onxeera helps with GEO

Onxeera maps tools to each GEO pillar. The free AI Crawler Checker covers access, and the AI Visibility Checker audits your brand across AI engines and gives a GEO score. Prompt Research asks ChatGPT, Perplexity, Gemini and Claude your customers’ questions through their official APIs with web search on, and records mentions, order and cited sources. Citation Builder shows which cited pages mention competitors but not you, Brand Knowledge turns your facts into connected schema.org JSON-LD, and the AI Visibility Fixer scans your live site, lists issues with evidence and lets you re-test after fixing. There is a free plan; see pricing or the platform overview.

Frequently asked questions

Is GEO only for big brands?

No. Small and local businesses often have an easier path, because AI questions are frequently local or specific, such as a service in one city. Accurate profiles, clear service pages, consistent contact details and listings in relevant directories are within reach of any business, whatever its size or budget.

How long does GEO take to show results?

There is no fixed timeline. Fixing crawler access or wrong facts can be reflected once engines re-crawl your pages and sources, while earning third-party mentions takes longer. Track a fixed set of questions over several weeks or months and judge progress by trends rather than a single answer.

Do I need different content for each AI engine?

Usually not. The same foundations serve all of them: crawlable pages, clear facts, consistent entity details and corroboration from other sites. What differs is the crawler each engine uses and which sources it tends to cite, so check access for every search crawler and measure each engine separately.

Can I do GEO without paid tools?

Yes. You can check robots.txt by hand, ask AI assistants your customer questions yourself, record results in a spreadsheet and fix your profiles directly. Tools mainly save time, run questions consistently across engines and keep a history, which becomes useful once you track more than a handful of questions.

Written by
Onxeera

The Onxeera team builds tools that help businesses get found, understood and recommended by AI search engines like ChatGPT, Perplexity, Gemini and Google AI Overviews.

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