Skip to content

AI visibility measurement guide · By Yes AI

GEO vs SEO: what is actually different?

Published 5 min read

Generative engine optimisation (GEO) is the name used for work aimed at being cited or named in AI answers. Google says that for its own search this is still SEO, while other assistants run their own crawlers and search arrangements. This guide sets out which parts of the work are new.

Quick answer

For Google's AI Overviews and AI Mode, GEO and SEO are the same work: Google says its AI features rely on its core ranking systems and need nothing beyond normal search eligibility. The differences sit outside Google, in separate crawlers such as OAI-SearchBot and PerplexityBot that must be allowed, answers that name a few businesses instead of listing ten links, and measurement that relies on repeated prompts instead of rank tracking.

Marketing team in a Newcastle meeting room sorting blank task cards into two groups on a table

What do GEO and AEO mean?

Generative engine optimisation (GEO) and answer engine optimisation (AEO) are names for work aimed at being shown, cited or named in AI-generated answers. Google's own guide describes both terms as covering work specifically focused on improving visibility in AI search experiences. It then states its position: from Google Search's perspective, optimising for generative AI search is optimising for the search experience, and so it is still SEO. Google also suggests that anyone considering third-party AEO or GEO services first read its guidance on evaluating SEO advice.

Providers use the terms loosely. Before comparing proposals, ask each one to list the specific tasks behind the label, so you can see how much of the work is standard SEO and how much is specific to other assistants.

Where is the work the same as SEO?

For Google's AI Overviews and AI Mode, the overlap is close to complete. Google says these features are rooted in its core Search ranking and quality systems and use retrieval-augmented generation, where ranking systems retrieve pages from the Search index before a response is written. A page has to be indexed and eligible for a snippet, the same requirement as a normal result. Google's recommendations are the familiar ones: crawlable pages, internal links, good page experience, important content in text, structured data that matches visible text, and current Business Profile and Merchant Center details.

Where does the work differ?

The differences sit mostly outside Google. Other assistants run their own crawlers with their own robots.txt tokens, and each operator separates search crawling from model training in its own way. OpenAI says ChatGPT search uses third-party search providers and partner content, so being indexed beyond Google matters. The output differs too: an assistant usually composes one answer naming a few businesses, so there is nothing equivalent to position eight on a results page. Measurement changes most, because there is no rank tracker for these answers.

  • Crawler access: allow OAI-SearchBot and PerplexityBot as well as Googlebot and Bingbot.
  • Training decisions: GPTBot and similar tokens are separate choices from search access.
  • Indexing: check Bing Webmaster Tools as well as Google Search Console.
  • Measurement: repeated prompts with saved answers, plus AI-specific reports where they exist.

What does GEO not change?

Google's guide lists tactics it says are unnecessary for its generative AI features. You do not need llms.txt or other AI text files for Google Search, you do not need to break content into small chunks, and you do not need to rewrite pages in a special style for AI systems, which already match synonyms and meaning. Creating separate pages for every phrasing or fan-out query mainly to manipulate AI responses breaches Google's scaled content abuse policy. Seeking inauthentic mentions across the web, Google says, is less helpful than it might seem.

How is success measured differently?

SEO reporting rests on rankings, impressions and clicks for known queries. For AI answers, the equivalents are newer and narrower. Google now offers a Generative AI performance report in Search Console that counts how your pages appear in its AI features. Most other measurement comes from repeated prompt checks: a fixed set of buyer questions, run on a schedule, with the full answers and cited links saved. Answers vary between runs, so a single check is a sample, and the useful result is the pattern across many runs over time. No honest provider can give you a position number for an AI answer.

How should a small business order the effort?

Work in order, because each step depends on the one before it. If Google cannot index your service pages, no AI-specific work will get them cited in AI Overviews. Fix the SEO basics first, then open access for other assistants' search crawlers, then make sure the facts buyers ask about are stated on your pages and match your listings elsewhere. Measurement should start before the first change so you have a baseline to compare against.

  • First: indexing, crawl access, page speed and clear service pages.
  • Second: robots.txt and CDN settings for OAI-SearchBot, PerplexityBot and other search crawlers.
  • Third: specific facts on each page, consistent with your Business Profile and directories.
  • Throughout: a saved baseline of buyer questions and answers, rerun on a schedule.

SEO and GEO compared task by task

TaskStandard SEOGEO for AI answersSame work?
Crawl accessGooglebot and BingbotAlso OAI-SearchBot, PerplexityBot and similarPartly
IndexingGoogle and Bing indexesGoogle's index for AI Overviews; third-party search providers for ChatGPTMostly
ContentHelpful, people-first pagesThe same pages, with facts stated plainlyYes
Structured dataRich result eligibilityNot required for Google's AI featuresYes
MeasurementRankings, clicks and impressionsAI feature reports and repeated prompt logsNo
Training opt-outsNot applicableDecisions on GPTBot and similar tokensNew

Practical checklist

  • Search Console shows the key pages indexed with no crawl errors.
  • Bing Webmaster Tools is verified and the key pages are indexed there.
  • robots.txt and CDN rules allow the search crawlers of the assistants you care about.
  • The training opt-out decision is recorded separately from search access.
  • A baseline of prompts and answers exists before GEO work starts.
  • Each GEO recommendation from a provider cites official documentation.

Common questions

Is GEO replacing SEO?

Google's guide answers this directly: SEO best practices remain relevant because its generative AI features are rooted in its core ranking and quality systems. For ChatGPT, OpenAI says search uses third-party search providers, which also depend on crawling and indexing. GEO adds checks on top of SEO, and those checks assume indexable, useful pages already exist.

Do we need a GEO specialist if we already have an SEO agency?

Not necessarily. Ask your current agency whether it checks crawler access for assistants other than Google, keeps a prompt baseline and reports on AI features in Search Console. Google suggests checking that any AEO or GEO advice is aligned with its official guidance. If your agency already does these things, a separate specialist adds little.

Does GEO need a different writing style?

Google says no for its own features: you do not need to write in a specific way for generative AI search, and its systems understand synonyms and general meaning. What helps any reader, human or machine, is a page that states the facts a buyer needs, such as service area, what is included and how to book, in plain sentences.

What is the difference between AEO and GEO?

Mainly the label. Google's guide uses answer engine optimisation and generative engine optimisation together as terms for work focused on visibility in AI search experiences. Some providers use AEO for featured snippets and voice answers and GEO for AI-generated answers, but there is no standard definition. Ask any provider what work sits behind the label they use.

Does Perplexity work differently from ChatGPT?

Perplexity runs its own crawler, PerplexityBot, which it says is designed to surface and link websites in its search results and is not used to crawl content for AI foundation models. Perplexity-User, which fetches pages for user questions, generally ignores robots.txt. The practical check is the same as for ChatGPT: allow the search crawler and test with saved prompts.

Sources and further reading

Continue planning

Plan an evidence-led AI visibility review

Describe your business category, service area and the questions buyers ask. We can discuss a repeatable visibility baseline and which public content needs review. Keep customer records and confidential information out of this enquiry.