Generative Engine Optimization (GEO)

Be understood, cited and recommended when buyers ask AI.

B2B buyers increasingly research problems, categories and vendors through AI assistants and AI-generated search answers. We help your brand become easier for those systems to discover, understand, trust and reference.

Role in the growth system

  • 01Create demand
  • 02Capture demand(role of this service)
  • 03Convert demand
  • 04Measure what works

Discipline group: Search & Authority

A network of stone spheres on marble platforms connected by fine lines of light, with one illuminated sphere at the center.

AI search does not replace search engine optimization. It changes what visibility means. Instead of ten links, a buyer may see one synthesized answer that names a handful of vendors, cites a few sources and ignores everyone else.

No one can control what a language model says. What you can influence is the evidence those systems find: how clearly your company is described, how consistently it is corroborated elsewhere, and how easy your content is to retrieve and quote.

What has changed

When the answer replaces the results page, being cited is the new ranking.

In a traditional results page, a buyer chooses which sources to read. In an AI-generated answer, the system has already chosen — and often summarized your category, named the vendors worth considering and framed the trade-offs before the buyer visits a single website.

For B2B companies this matters most at two moments: when a buyer is trying to understand a problem, and when they ask which solutions to consider. Being absent, misdescribed or described only by competitors at those moments is a real commercial cost.

How answers are assembled

Where visibility is won or lost.

Different AI products work differently and change often. Broadly, answers that reference current information follow a pattern like this — and each stage is a point of influence.

  1. 01PromptA buyer asks a question
  2. 02RetrievalThe system searches indexes and the web
  3. 03EvaluationSources are weighed for relevance and trust
  4. 04SynthesisAn answer is composed
  5. 05CitationSome sources are named or linked
Model training data also shapes how brands and categories are understood, but its influence is slower and far less direct.

Being honest about it

What can be influenced, and what cannot.

Within your influence

  • Whether your site is crawlable and retrievable by AI systems
  • How clearly your pages define what you do and for whom
  • Whether key facts are consistent across the web
  • Whether credible third parties reference you
  • Whether your content answers buyer questions directly

Outside anyone’s control

  • The exact wording of any individual answer
  • Which sources a model selects for a given prompt
  • Changes to AI products, models and retrieval systems
  • Personalization and conversation context
  • Guaranteed placement or recommendation

Scope

What an AI search visibility program includes.

01
AI visibility baseline
A defined set of buyer prompts, tested across major assistants and AI search experiences, recording whether you are mentioned, how you are described and which sources are cited.
02
Entity clarity
Making sure your company, products, category and audience are described consistently and unambiguously — on your site, in structured data and across the profiles and directories that describe you.
03
Content built for retrieval
Pages with explicit definitions, direct answers, clear headings, comparisons and specifics that can be quoted accurately, without sacrificing quality for human readers.
04
Third-party corroboration
Earning references in the publications, communities, reviews and analyses that AI systems draw on when forming a view of a category.
05
Technical accessibility
Server-rendered content, sensible crawler access policies, fast and stable pages, and structured data where it accurately describes the content.
06
Measurement
Tracking mention and citation patterns over time alongside referral traffic from AI platforms, branded search and self-reported attribution.
The companies AI systems describe well are usually the companies that describe themselves clearly — and are described consistently by others.

How we work

Start with what buyers actually ask.

  1. 01

    Define the prompt set

    The problem, category, comparison and vendor-selection questions your buyers are likely to ask.

  2. 02

    Baseline

    Record current mentions, descriptions, accuracy and cited sources across platforms.

  3. 03

    Diagnose

    Identify gaps in content, clarity, corroboration and technical access that explain the baseline.

  4. 04

    Improve

    Prioritize changes to your site, structured data and off-site presence by likely commercial impact.

  5. 05

    Re-measure

    Repeat the prompt set on a schedule. Treat changes as directional evidence, not guarantees.

Measurement

Measuring something that does not sit still.

AI answers vary between sessions, users and model versions, so single observations mean little. We look for patterns across repeated tests and triangulate with commercial data.

  1. Presence

    Mentions and citations

    How often you are mentioned or cited across the prompt set, and how that compares with competitors.

  2. Accuracy

    Description quality

    Whether AI systems describe your product, audience and differentiators correctly.

  3. Traffic

    AI referrals

    Visits from AI assistants and answer engines where referral data is available.

  4. Commercial

    Buyer-reported influence

    Branded search trends and “how did you hear about us” responses that mention AI tools.

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  • AI Search · Explainer

    Generative Engine Optimization (GEO), explained for B2B

    What GEO is, how AI answer engines assemble responses, which factors B2B companies can influence, and how to measure AI search visibility without overstating it.

    Reading time
    2 min read
    Level
    Foundational
    Updated
    Updated

Questions

AI & LLM Search Visibility: common questions

What is Generative Engine Optimization (GEO)?

GEO is the practice of improving how a brand and its content are discovered, understood and cited by generative AI systems, including AI assistants and AI-generated search answers. It builds on SEO fundamentals and adds a focus on entity clarity, retrievable content structure and third-party corroboration.

Is GEO different from SEO?

It overlaps substantially. Many AI answer systems retrieve information from search indexes and the open web, so strong SEO remains a foundation. The differences are in emphasis: how explicitly your content answers questions, how consistently your brand is described across sources, and how visibility is measured.

Can you guarantee ChatGPT or other assistants will recommend us?

No. Nobody can guarantee what an AI system will say. We improve the evidence available to those systems and measure the effect over time. Anyone promising guaranteed AI placement is promising something they do not control.

Does adding an llms.txt file help?

llms.txt is a proposed convention, not an established standard, and there is limited public evidence that major AI products rely on it. It is inexpensive to add, and we will implement it where it makes sense, but it is not a strategy on its own.

How do you measure AI search visibility?

With a fixed set of buyer prompts tested repeatedly across platforms, recording mentions, descriptions and citations. We combine that with AI referral traffic, branded search and self-reported attribution, and we treat the results as directional rather than precise.

Start a conversation

Find out how AI currently describes you.

Start with a conversation about your category, your buyers and the questions they are asking. We will tell you what we would test first.

Prefer email? hello@definitegrowth.com