Integrity Marketing SEO

Guides · AI search

Generative Engine Optimization (GEO): A Practical Guide

Short answer: Generative engine optimization (GEO) is the work of making your business easy for AI assistants such as ChatGPT, Perplexity, Gemini and Google's AI features to find, understand and cite. It rests on solid SEO, then adds answer-first pages, a clear and consistent business identity, mentions on other trusted sites, and open access for AI crawlers.

You will see the same idea called AI SEO, answer engine optimization (AEO), LLM SEO or GEO SEO. "AI seo" alone is searched about 6,600 times a month in the US (Google search data via DataForSEO, US, November 2026). The labels differ; the work is mostly the same. Here is what it involves, in order of importance.

What is generative engine optimization?

A generative engine is any tool that writes an answer instead of just listing links: ChatGPT, Perplexity, Google's Gemini, Microsoft Copilot, and Google's own AI Overviews and AI Mode. GEO is the practice of being one of the sources those tools draw on, and one of the businesses they name.

The term came out of academic research in 2023 and spread through the marketing world quickly. Our glossary entry on GEO gives the one-line version.

How do AI assistants choose which sources to cite?

None of the major providers publishes a full recipe, so treat any confident formula with suspicion. What is reasonably well understood:

The practical result: GEO is mostly good SEO, good writing and a consistent reputation, aimed at being quoted rather than only being clicked.

The core GEO practices

1. Write answer-first pages

Open every page with a two-to-three sentence answer to the question the page targets. Use question-shaped headings and answer each one in its first sentence. End with a short summary of the key facts. We go deeper in writing for AI search.

2. Make your entity clear

An "entity" is just the thing being described: your business. AI systems need to be confident who you are. Make it easy:

3. Earn citations and mentions

AI answers often draw on third-party pages: local news, trade associations, supplier sites, review platforms and comparison articles. A business that is only described on its own website is harder for a model to trust. Real mentions on real sites help with both SEO and GEO.

4. Put facts in plain text

Prices, service areas, warranties, license numbers, hours and specs should be in HTML text. Content locked in images, PDFs or scripts that need clicking to load is harder for crawlers to read.

5. Keep crawlers allowed

Check your robots.txt. Unless you have a specific reason, do not block the crawlers AI search tools use. Common ones include:

CrawlerUsed by
GooglebotGoogle Search, including AI Overviews and AI Mode
BingbotBing, which also supplies data to Microsoft Copilot
OAI-SearchBot and ChatGPT-UserChatGPT search and browsing
GPTBotOpenAI model training
PerplexityBotPerplexity
ClaudeBotAnthropic

Blocking a training crawler and blocking a search crawler are different decisions. If you want to be found in an assistant's live answers, its search crawler must be able to reach you. Also note that Google-Extended controls use of your content for Gemini training, not your appearance in Google Search.

6. Keep content current

Dated prices, old staff names and services you no longer offer get repeated back to customers. Review your main pages at least twice a year and show a last-updated date where it is honest.

A worked example

Say you run an HVAC company in Denver. A GEO-ready furnace repair page would open with a direct answer ("Most furnace repairs in the Denver area are done in one visit; common fixes include igniters, flame sensors and blower motors"), then cover warning signs, what drives the price, response times, the suburbs you serve and your license details. Your Business Profile, Yelp, BBB and Bing listings would carry the same name, phone and service list. A local news mention or a supplier's dealer page would confirm you independently. None of that is a trick. It simply makes you the easiest business for an assistant to describe accurately.

What about llms.txt?

llms.txt is a proposed plain-text file, placed at your site root, that lists your most important pages in a format meant for language models. It is easy to add and does no harm.

But keep expectations low. It is a proposal, not an adopted standard, and major AI search providers have not said they use it to choose sources. Google has said it does not use it for Search. Add it if you like; do not count it as GEO work done.

How do you measure AI visibility?

There is no Search Console for ChatGPT. A simple, repeatable method works better than any single score:

  1. Pick 20 to 30 real questions customers ask, with and without your city. Example: "Who is a good emergency plumber in Denver?" and "How much does it cost to replace a water heater?"
  2. Run them in each assistant you care about, ideally from a logged-out or clean session.
  3. Record three things: whether you are named, whether your site is linked, and which competitors or directories are cited instead.
  4. Repeat monthly with the same questions. Answers vary run to run, so look at the trend, not one result.
  5. Check your analytics for referral visits from AI tools, and track calls and forms by source.

The "who gets cited instead" column is the most useful. It tells you which directories, review sites and publications the assistants trust in your market, and where you should be listed.

Common GEO mistakes

If you want this done for you, our AI search optimization service covers audits, page rewrites, entity cleanup and monthly visibility tracking.

Key facts

Generative engine optimization (GEO), also called AEO or AI SEO, is the work of making your business easy for AI assistants to find, understand and cite. It rests on good SEO plus answer-first pages, a clear and consistent business identity, independent mentions and open crawler access. llms.txt is optional and not a proven ranking signal; measure results with repeat prompt tests and lead tracking.

Questions

What is generative engine optimization?

Generative engine optimization (GEO) is the practice of making your content and business information easy for AI assistants such as ChatGPT, Perplexity, Gemini and Google's AI features to find, understand and cite in their answers.

Is GEO different from SEO?

It builds on SEO rather than replacing it. Most AI search tools rely on web search indexes, so crawlable, well-ranked, clearly written pages remain the foundation. GEO adds focus on direct answers, entity clarity and third-party mentions.

Does llms.txt help you get cited by AI?

There is no clear evidence that it does. It is a proposed file format, and major AI search providers have not said they use it to choose sources. It is cheap to add but should not replace real work on your pages.

How do you measure GEO results?

Run a fixed set of real customer questions through each AI assistant on a regular schedule and record whether you are mentioned or cited. Pair that with lead tracking, since calls and forms are what count.

What is the difference between GEO and AEO?

They are used almost interchangeably. AEO (answer engine optimization) is the older term for getting chosen as the direct answer; GEO is the newer term focused on generative AI tools. The work is largely the same.

Terms in this guide: AI Overviews · AI Mode · robots.txt · llms.txt

Get a free proposal