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GEO

Generative Engine Optimization Services

Generative engine optimization is the work of getting AI answer engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews to mention and cite your brand when buyers ask questions in your category. Our GEO service delivers the full loop: daily measurement across nine engines, the entity and content fixes that move the answers, and citation-level reporting so you can see it working.

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THE SERVICE

What our GEO service includes

Measurement, fixes, content, and reporting in one engagement, all run on our own platform.

AI visibility measurement

Daily sampling of your prompt set across ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews, DeepSeek, and Meta AI. You see mentions, citations, and position in the answer, tracked as a trend rather than a one-off spot check.

Entity and schema foundation

Consistent brand signals everywhere the models look: same name, same description, structured data that connects your brand to your category. This is the groundwork that makes every other GEO tactic stick.

Citation-worthy content production

Research-backed comparison pages, data pages, and documentation-grade content that answer engines can retrieve and trust, published through WordPress, Shopify, Webflow, and Framer integrations.

AI crawler readiness

We verify that AI search crawlers can actually reach your site: robots.txt access for the crawlers that feed answer engines, an llms.txt file, and clean rendering of the pages that matter.

Google AI Overviews optimization

AI Overviews sit on top of classic Google results, so this work spans both. We track which of your queries trigger an Overview, whether you are cited in it, and what the cited pages have that yours lack.

Monthly reporting with citation-level detail

Reports go deeper than a vanity dashboard: which engines mention you, which pages get cited, where competitors get cited instead, and what shipped that month to close the gap.

Our process

Four steps, run as a loop. Measurement comes first so every fix is accountable to a baseline.

Step 1

Measure

We baseline your visibility across all nine engines against a prompt set built from real buyer questions in your category. Every later claim of progress is measured against this baseline.

Step 2

Diagnose

We map where competitors get mentioned and cited while you do not, then trace each gap to a cause: missing content, weak entity signals, crawler access, or thin third-party coverage.

Step 3

Fix and publish

We ship the fixes in priority order: schema and entity cleanup, crawler access, then the content the engines need to cite you, published straight into your CMS.

Step 4

Track and iterate

Daily sampling shows what moved and what did not. We double down on the prompts that respond and re-diagnose the ones that stay flat.

GEO vs SEO

GEO and SEO compound rather than compete. Answer engines with web retrieval lean heavily on pages that already rank in classic search, so strong rankings feed the retrieval step that grounds AI answers. The content we produce for GEO, comparison pages and data pages and documentation, is the same content that earns organic rankings and links. Read our breakdown of AEO vs SEO and the answer engine optimization playbook for the full picture. And if your question is less about the tactics and more about who to hire, see our generative engine optimization agency page.

Frequently asked.

What is generative engine optimization (GEO)?
GEO is the practice of optimizing your brand and content so AI answer engines like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews mention your brand and cite your site when buyers ask questions in your category. Where classic SEO targets a ranked list of links, GEO targets the handful of brands named inside a generated answer. The work spans measurement, entity and schema signals, content the engines can retrieve and trust, and crawler access.
How do you measure GEO results?
We sample a defined prompt set daily across nine engines: ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews, DeepSeek, and Meta AI. For each prompt we record whether your brand is mentioned, whether your site is cited as a source, and where you appear in the answer. Daily sampling matters because AI answers vary between sessions; a trend across many samples is meaningful where a single check is noise.
How long until I see results?
Honestly, it varies. AI answers update on different cycles than Google: some engines re-retrieve web content quickly, so a new citation-worthy page can show up in grounded answers within weeks, while shifts that depend on model training data move much slower. Early wins usually come from crawler access fixes, schema, and content targeting prompts where competitors are weakly cited. Broad gains across the full prompt set take months of consistent publishing, which is exactly why we baseline first and report against the trend.
Do you guarantee my brand will be mentioned?
No, and you should be skeptical of anyone who does. Nobody controls model output. What we control are the inputs: whether crawlers can reach your site, whether your entity signals are consistent, whether content worth citing exists, and whether third-party sources the engines trust cover you. We optimize those inputs and measure the output daily, so you always see exactly what the work is producing.
Which AI engines do you cover?
Nine engines with daily sampling: ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews, DeepSeek, and Meta AI. Coverage across all of them matters because visibility is uneven; brands routinely show up in one engine and are absent from another, and you want to know which gap you are closing.

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