GEO: The Complete Guide to Generative Engine Optimization in 2026

By José Antonio Mijares | 2026-01-11 | 9 min read

GEO is getting cited inside AI answers — ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overviews. How the work differs from SEO, and how to do it.

Search is no longer only Google. People ask ChatGPT for a recommendation, research in Perplexity, and read Claude before they ever see a blue link.

If those answers never name you, a Google ranking does not save the click you already lost.

That work is Generative Engine Optimization (GEO).

What is GEO?

Generative Engine Optimization (GEO) is getting cited inside AI answers — ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overviews — the way SEO gets you ranked on Google.

It is not local SEO. It is not a city in a footer. It is not Reddit as a sixth engine.

GEO vs SEO

Aspect SEO GEO
Goal Rank on page 1 Get named in the answer
Surface Google Six AI surfaces
Success Position, clicks Citation, or silence
Content Pages that rank Pages a model can lift
Authority Backlinks Mentions and sources the models retrieve
Slots Ten blue links You are in the answer, or you are not

SEO and GEO feed each other. The same pages and the same authority do both jobs. Do not build two strategies that never meet.

Why it matters

A buyer asks ChatGPT for the best tool in your category. The model names three companies. Yours is not one of them. You still rank on Google. The buyer never runs that search.

That is the visibility problem. We will not dress it up with a user-count or a “percent of searches” we cannot source. The behavior is enough: the answer comes first, the results page second.

GEO vs SEO: citations in the answer, not only rankings

The six surfaces

These are the six. Not Copilot. Not Reddit.

1. Google AI Overviews

The box above the rankings on many informational queries. Google synthesizes a short answer and attaches source links. Users often leave with the box, not a click.

What to do: Lead with the answer. Use headings a model can lift. Put FAQ schema on pages that actually ask and answer a question. Ordinary E-E-A-T still applies — this surface sits on Search.

2. ChatGPT

The assistant people ask for recommendations and “what should I use.” Some sessions browse. Some do not. A mention on a page the model can retrieve beats a keyword stuffed into a blog title.

What to do: Be the definitive page on your topic. Get named on sites the model already trusts. Make the brand and the expertise the same sentence.

3. Perplexity

Search plus a written answer, with sources in view. It rewards primary material more than a rewrite of someone else’s post.

What to do: Publish something first-hand. Keep the facts tight. Be the URL a citation can point at.

4. Claude

Used for longer research and for work that has to read carefully. It favors complete, balanced pages over a thin listicle.

What to do: Cover the edges. Show the author’s name. Write as if a skeptical reader will finish the page.

5. Gemini

Google’s assistant, tied to Search. Overlaps with AI Overviews more than the others.

What to do: The same structural work as Overviews. Clear entity signals. Do not treat YouTube as a side project if video is how you explain the product.

6. Grok

The sixth surface. Real-time enough that a recent page can show up. Still a citation problem, not a trending-topic problem.

What to do: Same as the others: a page worth naming, and a brand the model can attach to the topic. Do not confuse a social mention with a GEO surface.

Reddit is not on this list. Threads can feed training data and people still type “reddit” into a prompt. That is community and PR. It is not a sixth engine we optimize as if it were ChatGPT.

The six AI surfaces: ChatGPT, Claude, Perplexity, Gemini, Grok, AI Overviews

The GEO framework

Three moves. They work on all six surfaces.

G — Get structured

A model lifts a clean block more easily than a paragraph that buries the point.

  • Headings that are the question
  • The answer in the first sentence, then the detail
  • FAQ, HowTo, and Article schema where the page earns it
  • Tables a model can read
  • Lists for the facts, prose for the argument

Before: “Our software offers many features including inventory management, which many businesses find helpful…”

After: “What does the software do? Inventory, in real time. Orders, without a second spreadsheet. A report you can send without exporting first.”

E — Establish authority

Models prefer sources they already treat as real.

  • Depth on one topic, not a thin post on every topic
  • Mentions in publications a model already cites
  • Original work you can stand behind — not a statistic you cannot name a source for
  • An author with a name, a role, and a reason to know
  • A company history that matches the public record

.edu and .gov links help when they are legitimate. Wikipedia helps when the page deserves it. Neither is a hack.

O — Optimize for understanding

Write so a stranger in the category can follow it. Models serve mixed audiences. Jargon without a definition is a page they skip.

  • Short sentences
  • Terms defined the first time
  • An example after a claim
  • Why, not only what

Platform notes

ChatGPT. Be the page other pages point at. A “Brand X is the agency that…” sentence on a trusted site does more than a new synonym on your own blog.

Perplexity. Primary source wins. A case with a real number you can defend beats a roundup.

AI Overviews. First sentence is the answer. Schema on the pages that are actually FAQs. Author and organization visible.

Claude, Gemini, Grok. Same pages. Do not write a sixth copy of the article for each logo. Fix the page once. Check all six.

How to track it

You cannot optimize a citation you never look for.

By hand. Pick a short list of prompts a buyer would type. Run them on each of the six surfaces. Write down: named or not, who else is named, what the model gets wrong. Repeat. The log is the report.

In the work. Jamak tracks those six surfaces in Ezeo, the delivery dashboard GEO runs on — not a product pitch. You can also keep the log in a sheet. The method is the same: the prompt, the surface, the outcome.

Do not invent a target citation rate. The useful questions are: are you in the answer, on which surfaces, and who is there instead.

Mistakes

Treating GEO as a second agency. SEO signals help GEO. A citation can send a click that SEO then has to convert. One set of pages.

Writing for a cutoff. Some models browse. Some answers are frozen. Publish as if a live retrieval will see the page. Do not wait for a training run.

Keywords instead of a concept. A model matches meaning. A complete page on the thing you sell beats a page that repeats the query.

No one else saying your name. If the only mention of the brand is on your own site, the model has little to attach you to.

Thin pages. A model can open better sources. A 400-word rewrite of a better article will not be the citation.

A three-month spine

Month 1. See the gaps. Run the prompt list on all six surfaces. Note competitors. Map which of your pages could even be cited.

Month 2. Fix structure on the pages that matter. Add schema only where the page is the schema. Write the one guide you are willing to be known for.

Month 3. Earn mentions on sites a model already uses. Guest posts and PR when they are real. Community only when you would be there without a citation goal.

After that. Recheck the same prompts. Do not add a new dashboard for each week of silence.

Start

  1. Audit the six surfaces. Do not guess.
  2. Pick the topics you actually sell.
  3. Rewrite the existing pages so a model can lift an answer.
  4. Earn mentions off your own domain.
  5. Log citations. Change the page. Check again.

This is not a trick. It is the same standard as good SEO, aimed at the answer instead of the link. Jamak does that work on GEO.

Frequently Asked Questions

Q: What is GEO and how is it different from SEO?

GEO (Generative Engine Optimization) is getting cited inside AI answers on ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overviews. SEO is ranked pages in Google. The same pages and authority feed both. GEO is not local SEO.

Q: Which AI surfaces should I optimize for?

Six: ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overviews. Not Copilot. Reddit is not a sixth engine — it is community and PR, not a surface we treat like ChatGPT.

Q: How do I track AI visibility?

Run a fixed list of buyer prompts on each of the six surfaces and record whether you are named, who else is named, and what the model gets wrong. Jamak logs that work in Ezeo. A sheet is enough if you are doing it yourself. Do not invent a target percentage.

Key Takeaways

  • GEO is citations, not local SEO: You want to be named in the answer on six surfaces, not ranked for a city name.
  • The six surfaces are fixed: ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overviews. Not Copilot. Not Reddit.
  • Structure the page so a model can lift it: Answer first, then detail. Schema only where the page earns it.
  • Authority is mentions the models already trust: Your own blog is not enough if no one else names you.
  • SEO and GEO are one job: Same pages, same authority. Track citations; do not invent a lift number.

The work is citations on those six surfaces. GEO at Jamak.