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Generative Engine Optimization

Generative Engine Optimization

How to get recommended by AI

Get cited where the decision actually happens. When your buyer asks ChatGPT, Perplexity, Claude, Gemini, or Google's AI Overviews for a recommendation, the brands named in the answer win, and the rest are invisible. We get your brand into that answer.

Engines we optimize for ChatGPT · Perplexity · Claude · Gemini · Google AI Overviews

What it is

What GEO in marketing actually means

In marketing, GEO means generative engine optimization and not geo-targeting. It's the practice of engineering your content, structure, and authority signals so AI answer engines cite and recommend your brand when they respond to a buyer's question. You're ultimately optimizing to be the source the model pulls from, trusts, and names in the answer it writes.

This is basically a different game with different rules. A page can rank #1 and still never be cited. The model does not reward the page that climbed the search results. It rewards the passage it can extract, the claim other sources corroborate, and the entity it can confidently identify. GEO is the discipline of engineering all three.

GEO vs SEO

GEO vs SEO

GEO doesn't replace SEO, as it extends your visibility into the surfaces where buyers now start. All of our clients run both as one integrated program. Here's what shifts:

Dimension Traditional SEO Generative Engine Optimization
Goal Rank a page in the list of links Become the source the AI cites in its answer
Unit of visibility Position on the results page Share of the generated answer
Who sees it Searchers who scroll and click Buyers reading the AI's synthesized recommendation
How you win Keywords, links, on-page signals Extractable structure, corroborated authority, prompt-aligned content
Where it shows Google, Bing ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews
How you measure Rankings, organic clicks Citation share, AI mentions, AI referral traffic

How brands get cited

How to get recommended by AI

Models recommend what they can access, extract, and trust. We engineer all three.

01

Access

Can the engines reach you?

  • Open the crawlers that matter: OAI-SearchBot, GPTBot, PerplexityBot, ClaudeBot, and Google-Extended.
  • Ship a clean llms.txt and serve fast, readable HTML that engines can parse.
  • Clear the technical blockers that stop your brand from showing up in ChatGPT and the other engines.
02

Extract

Can the model quote you?

  • Open every section with a standalone, quotable answer.
  • Put comparison data in real tables. Models lift tables almost verbatim.
  • Build content around the questions buyers actually ask, answered directly and completely.
  • Add schema markup (Organization, Service, FAQ, Article) and consistent entity naming so a model can resolve exactly who you are.
03

Trust

Do other sources agree?

  • Models recommend the brands that independent sources corroborate.
  • Align your site, third-party reviews, editorial mentions, and community discussion into one consistent story.
  • Publish original data and research, kept current, that gives engines a reason to mention you specifically.

By engine

How GEO works across different LLMs

Each answer engine retrieves and cites by its own logic. We engineer for the mechanics of each one, not a generic checklist.

How it runs

Our generative engine optimization strategy

Every AI answer is assembled in stages. Our strategy optimizes your brand into every stage of that pipeline.

  1. 01

    Interpretation

    What the engine does

    The model rewrites your buyer’s question into several tighter searches, mapping words to intent.

    What we do

    We map the prompt landscape: the informational, commercial, and comparative questions your buyers actually ask. Then we build pages and headings that mirror them, so your content maps to real intents instead of head terms.

  2. 02

    Retrieval

    What the engine does

    A search layer pulls a broad set of candidate pages in seconds. Anything it cannot fetch is out before quality is even judged.

    What we do

    We secure full crawler access for OAI-SearchBot, GPTBot, PerplexityBot, ClaudeBot, and Google-Extended, ship a clean llms.txt, and fix the speed, metadata, and crawlability issues that keep you out of the candidate set.

  3. 03

    Re-ranking

    What the engine does

    A re-ranker scores candidates for semantic relevance, structure, and trust, then reorders them. This is the make-or-break step.

    What we do

    We build clean heading hierarchies, cited claims, and fresh dates, plus the trust signals models weigh: named experts, real experience, authoritative mentions, and corroboration across independent sources.

  4. 04

    Synthesis

    What the engine does

    The top sources are handed to the model, which writes a single answer and cites the passages it used.

    What we do

    We pre-synthesize your content: answer-first sections, real comparison tables, and verifiable first-party data the model can lift straight into its response, with your name attached.

What you get

Outcomes that you can see and a plan to reach them

Outcomes · what you'll see

  • 01 Citation share across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews for the prompts your buyers use.
  • 02 A running list of the prompts where your brand now appears, and the competitors it displaced.
  • 03 AI referral traffic you can verify in your own analytics.
  • 04 An owned asset that keeps compounding, unlike a rented ad position that stops when the budget does.

Deliverables · what you get

  • A prompt and citation landscape audit: the questions that matter and where you stand today.
  • A source and authority audit of what the models can currently see, extract, and cite.
  • Content engineered for retrieval, with answer blocks, comparison tables, and original data.
  • Monthly citation tracking and reporting, with ongoing optimization.

Frequently asked

Questions, answered

Straight answers on how to rank in ChatGPT, Perplexity, and AI Overviews. Ask us directly.

What is GEO in marketing?

In marketing, GEO means generative engine optimization and not geo-targeting. It’s the practice of engineering your content, structure, and authority so AI answer engines like ChatGPT and Perplexity cite and recommend your brand when they answer a buyer’s question. Instead of ranking a page, you become the source the model synthesizes into its answer.

How is GEO different from SEO?

SEO earns you a position in a list of links; GEO earns you a citation inside the AI-generated answer that increasingly replaces that list. SEO optimizes pages for crawlers and rankings; GEO optimizes passages, data, and authority signals for retrieval and synthesis by models like ChatGPT and Perplexity. Most brands need both.

How do you rank in ChatGPT?

To rank in ChatGPT, be the unambiguous authority on your topic and make sure you’re present in the sources it trusts. ChatGPT answers from training data until a query needs fresh information, then searches and reads a few sources deeply, so open its crawlers (OAI-SearchBot, GPTBot), make each answer quotable, and earn corroboration across the web so it mentions and recommends you.

How do you rank on Perplexity?

Perplexity runs a live web search on nearly every query, so ranking on Perplexity comes down to crawler access (PerplexityBot), freshness, and tightly structured answers it can quote inline. The more extractable and current your content, the more often Perplexity cites it.

How do you show up in Google AI Overviews?

To show up in Google AI Overviews, your classic SEO and your GEO structure have to compound. Strong organic rankings give Google the candidate pages; schema, clear answer blocks, and topical authority give it clean, extractable content to synthesize into the overview. You still need SEO and GEO extends it into the AI surface.

How do you get recommended by AI?

You get recommended by AI the same way you get cited: by being machine-readable, extractable, and corroborated across independent sources. Models recommend the brand multiple trusted sources agree on, so consistent positioning across your site, reviews, and editorial coverage is what turns a citation into a recommendation.

Become the brand
AI recommends.

Your buyers are already asking AI who to choose. Let's make sure it says you.