AI names competitors, not you
Ask ChatGPT or Perplexity for the best option in your category and watch who gets cited. If competitors appear in the synthesized answer and you don't, they're grabbing intent before a search ever happens.
Generative engine optimization services that get your brand cited inside AI answers.
Generative engine optimization services that make your brand a source ChatGPT, Gemini, Perplexity, and Google AI Overviews cite when they build answers. We ship the citation layer: entity mapping, schema architecture, llms.txt, and citation-worthy content. Tracked with a repeatable prompt panel, not promises. Fixed scope from $750.
From $750 fixed-scope audit Citation tracking across AI llms.txt on every build
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Executive Summary
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of making your brand a source that generative AI tools cite when they build answers. ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews synthesize responses from the crawlable web, and GEO shapes your content, schema, and entity signals so those models pull from and credit your site. It's the generative half of the wider AI SEO discipline: where classic SEO earns you a ranked link, generative engine optimization earns you a mention inside the answer the model writes.
Three tiers
Which GEO engagement fits your brand?
Every tier is fixed-scope with the price we agree before we start. Generative engine optimization pairs with its sibling, answer engine optimization, which targets extractable direct answers, and both sit under our AI SEO service. If your classic rankings need work first, WordPress SEO handles that foundation. Not sure where the gap is? Start with the audit.
Audit $750 5 business days
GEO baseline: a fixed prompt panel across ChatGPT, Perplexity, Gemini, and AI Overviews, plus an entity, schema, and llms.txt audit. Written report with a prioritized citation-gap list you can act on with anyone.
Fits
Book Audit Most chosen Implementation $2,500 30 days - Not sure if AI cites you
- Want proof before spending
- DIY-capable teams
Entity mapping with Organization and Person schema plus sameAs, citation-worthy content restructuring, llms.txt and llms-full.txt, AI crawler access, and a day-30 prompt-panel re-measurement against your baseline.
Fits
Book Implementation Monitoring $500/mo Ongoing - Audit done, gaps confirmed
- WordPress sites
- Authority-building brands
Monthly citation tracking across the AI platforms, entity signal upkeep, new-content optimization for quotability, and a monthly cited-vs-absent report. Month to month, cancel anytime.
Fits
Book Monitoring - Post-implementation upkeep
- Content-active brands
- Competitive categories
When you need it
How do you know if your brand needs GEO now?
You have no entity presence
No Organization schema, no sameAs links, no Wikidata or LinkedIn corroboration. Generative models confirm who a brand is through entity signals, and without them your business is a guess the model can get wrong.
Your content reads as prose to a model
Great articles with no direct-answer openings, no definitions, and no sourced data are hard to quote. Generative engines prefer crisp, citable passages, and reformatting the same expertise usually flips you from ignored to cited.
You publish original data nobody credits
If you produce real statistics, surveys, or first-party findings and AI answers cite someone else's numbers, your citation engineering is the gap. Original data is the single most quotable asset a brand can own.
No llms.txt and blocked AI crawlers
AI crawlers read llms.txt the way search bots read sitemaps, and some sites accidentally block them entirely. If the models can't read you, then they can't cite you, and most sites we audit have neither file nor open access.
Impressions climb while clicks stall
The AI-era Search Console signature. Answers absorb the click your ranking used to earn. The fix isn't ranking harder, it's becoming the source the answer is built from.
Transparent pricing
What do generative engine optimization services cost?
Our generative engine optimization services start at $750 for a complete GEO audit. Implementation runs $2,500 fixed-scope, and ongoing citation monitoring is $500 a month. Most GEO shops price this opaquely or bundle it into large retainers. We don't, and we won't.
$750
GEO Audit
Citation-panel baseline across ChatGPT, Perplexity, Gemini, and AI Overviews for your buyer-intent prompts, plus an entity, schema, and llms.txt audit. Written report with a prioritized citation-gap list in 5 business days. Fee credits toward implementation if you proceed.
$2,500
GEO Implementation
Entity mapping with Organization and Person schema plus sameAs corroboration, citation-worthy content restructuring, llms.txt and llms-full.txt generation, AI crawler directives, and a day-30 citation re-measurement against your baseline. 30-day delivery on WordPress sites.
$500/mo
GEO Monitoring
Monthly citation tracking across the AI platforms, entity signal maintenance, quotability optimization for new content as you publish, and a monthly cited-vs-absent report. Month to month, cancel anytime.
Want the extraction side too? Our answer engine optimization service targets snippets and direct answers, and the free schema generator shows the structured data GEO relies on. Full pricing breakdown →
GEO FAQ
What should you ask before hiring a GEO agency?
01 What is generative engine optimization (GEO)?
GEO is the practice of making your brand a source that generative AI tools cite when they build answers. ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews synthesize responses from the web, and GEO shapes your content, schema, and entity signals so those models pull from and credit your site. Where classic SEO earns a ranked link, GEO earns a mention inside the generated answer.
02 What is the difference between GEO and AEO?
GEO targets synthesized AI answers where a model writes a paragraph and cites sources. AEO targets extracted direct answers like featured snippets and People Also Ask, where the engine lifts a passage verbatim. They share a schema and answer-first foundation, but GEO leans on entity authority while AEO leans on precise, extractable formatting. Our answer engine optimization service covers the AEO half.
03 How does GEO get my brand cited by AI?
Three levers: entity clarity (consistent naming plus Organization and Person schema with sameAs to LinkedIn, Wikidata, Crunchbase), citation-worthy content (original data, crisp definitions, sourced facts a model prefers to quote), and machine access (llms.txt, clean JSON-LD, AI crawler permissions). We build all three, then track whether citations actually appear.
04 Can you track whether AI tools cite my brand?
Yes. A fixed panel of buyer-intent prompts across ChatGPT, Perplexity, Gemini, and AI Overviews records whether you're cited, mentioned without a link, or absent, and which competitors appear instead. Baseline at audit, re-run at 30, 60, and 90 days. It's the only honest way to measure GEO, because the platforms don't expose ranking data.
05 How long does generative engine optimization take?
Entity and schema changes register within weeks; citation share builds over 2 to 4 months as models re-crawl and re-weight your content. Niche topics move faster than crowded categories where publishers dominate. The audit tells you which target prompts are realistically winnable before you commit.
06 Do I need GEO if I already do SEO?
GEO sits on top of SEO, it doesn't replace it. A site that ranks is already partway there, since generative engines pull from the same crawlable web. What SEO usually lacks is the entity layer, llms.txt, and answer-first formatting that make content citation-ready. If your SEO is solid, GEO is often a focused add-on, which the audit confirms.