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Home✦Search & AI Visibility✦GEO

Generative Engine Optimization

Get cited by the
machines buyers ask.

Your next customer doesn't scroll ten blue links anymore — they ask ChatGPT, Perplexity, Gemini, or Claude and trust whatever names come back. GEO is how you become one of those names. AI does the rote half — mapping prompts, structuring the corpus, tracking citations — and a human owns whether the engines actually quote you.

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Engines we get you cited in

0M+

Weekly users asking AI for answers

0×

Typical lift in citation share

<0d

To first measurable citations

What GEO actually is

SEO got you ranked. GEO gets you named.

Generative Engine Optimization is the practice of making AI assistants name your brand when a buyer asks them a question. Where SEO earns a position in a list of links, GEO earns a sentence inside the answer the model writes — the one your prospect reads and acts on without ever clicking through.

You can't edit the model. But you can shape what it reads. Engines synthesize from the open web, structured data, and high-trust sources, then decide whose name to put in the answer. GEO is the deliberate work of becoming that source: a clear entity, a quotable corpus, and the earned citations that teach a model you're worth quoting.

Read the full GEO definition →
Abstract particle visualization of an AI engine selecting a brand to cite among many sources

How the engines choose

Why a model names one brand and not another.

Citations aren't random. AI engines weight a handful of signals when they decide whose name to put in the answer. We engineer every one of them — the machine does the volume work, a strategist owns the call.

01 Entity clarity

It knows who you are

Models trust brands they can resolve to a clean, consistent entity. We build out your entity across your site, schema, Wikidata-class sources, and the wider web so the engine never confuses you with someone else.

02 Corpus quotability

Your words are easy to lift

Engines quote text that's direct, factual, and well-structured. We write and format your content so the answer-worthy sentence is already there, ready to be pulled verbatim into a response.

03 Source authority

Trusted places vouch for you

A model leans on sources it already trusts. Earned mentions, real digital PR, and citations from authoritative pages raise the odds the engine treats you as a primary source — not an afterthought.

04 Freshness & coverage

You show up everywhere it looks

Retrieval-augmented engines pull live results too. We make sure you have current, comprehensive coverage of every buyer question, so there's no prompt where a competitor is the only available answer.

05 Structured signals

Machines can read you cleanly

Schema, clean markup, and consistent facts give the model unambiguous data to cite. The same plumbing that powers answer engines makes generative engines confident enough to name you.

06 Consensus & sentiment

The web agrees about you

Models reflect the consensus of what's written about you — including reviews, forums, and communities. We shape that conversation honestly, from Reddit threads to comparison pages, so the picture the engine reads is the right one.

How the work runs

The GEO method.

Getting cited isn't a one-time hack — it's a loop you run and measure. Here's how we move you from invisible to named, with AI doing the rote half of every step and a human owning the outcome.

Step 1

Prompt & baseline

We map the real prompts your buyers type into each engine, then baseline exactly how often — and how — you're named today versus your competitors. You see the gap before we touch anything.

Step 2

Entity & corpus

We define your entity cleanly across the web and build a quotable corpus — content and schema written so the answer-worthy line is already there for a model to lift, accurately.

Step 3

Earn citations

We earn the mentions and authoritative references engines trust — real digital PR, placements, and community presence. No spam, no fabricated reviews. Sources you could put your name to.

Step 4

Measure & iterate

We re-run the prompt set across every engine on a schedule, track your citation share prompt by prompt, and feed what's working back into the next loop. Reported in plain English, every month.

Strategist working with a holographic AI interface tracking brand citations across generative engines

What you get every month

Citation share you can measure.

One question runs the report: when a buyer asks the engines about your category, how often do they name you? We track it prompt by prompt, engine by engine. Here's the shape of a real engagement.

Citation share by engine

% of tracked buyer prompts that name you · end of engagement

ChatGPT

Perplexity

Gemini

Claude

From invisible to named

How the engagement moves the needle · prompt set of 100

4.5×

More prompts that name you

63%

Buyer prompts citing you

4

Engines actively citing you

<60d

To first measurable lift

What's in the engagement

Everything it takes to get named.

GEO runs as a monthly retainer, month-to-month, no lock-in. You get a strategist who owns your citation share and an AI workflow that does the heavy lifting underneath. Scope it standalone, or fold it into the full Search & AI Visibility stack.

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Where GEO fits

One door of two.

GEO is one facet of Search & AI Visibility — the discipline of getting found wherever buyers look. It works hand in hand with the engines next to it: solid SEO gives the models trustworthy pages to read, and AIO wins you a place inside Google's own AI Overviews. Run them together and each one feeds the others.

GEO questions

Asked, answered.

What's the difference between GEO and SEO?+

SEO earns you a position in a list of links on Google. GEO earns you a mention inside the answer an AI engine writes — ChatGPT, Perplexity, Gemini, or Claude. They share a foundation: strong, trustworthy content. But GEO adds entity work, a quotable corpus, and citation engineering aimed specifically at getting the model to name you. See the full breakdown in our glossary.

Can you actually influence what ChatGPT or Perplexity say about us?+

You can't reprogram the model, but you can shape what it reads. Engines synthesize from the open web, structured data, and high-authority sources. By building a clear entity, a quotable corpus, and the right earned mentions, we measurably raise how often you get cited — and we track it prompt by prompt so you can see it move.

How do you measure GEO results?+

We run a fixed set of real buyer prompts across each engine on a schedule and record whether — and how — you're named, versus your competitors. Your monthly report shows citation share per engine, which prompts you've won, and which are still in play. No vanity metrics, just the one number that matters: how often the machines recommend you.

How fast will we start getting cited?+

Engines that pull live results can reflect new content within weeks. Durable citation share — the kind that holds across model updates — typically builds over 60–90 days as your entity, corpus, and earned mentions accumulate, then compounds from there. We baseline everything up front so movement is honest and visible, not a "trust us" exercise.

Is GEO just spamming AI with our brand name?+

No — and that approach backfires. Models reflect genuine consensus and penalize manipulation over time. We earn citations the legitimate way: accurate facts, a clean entity, quotable content, and real digital PR. No fake reviews, no manufactured forum spam. The goal is for the engines to name you because you genuinely are a good answer.

Human judgment. AI horsepower.

Are the machines
recommending you?

Find out for free. We'll check how often ChatGPT, Perplexity, Gemini, and Claude name you when buyers ask about your category — then show you exactly how to win the prompts that matter.

Book a call Get the free audit