Get named, and cited, in AI answers
Your buyers ask ChatGPT, Perplexity, Gemini and Google's AI Overviews for recommendations. We measure where your brand shows up in those answers today, find why competitors get cited instead, and fix it.
Why it matters
Generative Engine Optimization (GEO), also called Answer Engine Optimization (AEO) or LLM optimization, is the work of making your brand and pages show up in AI-generated answers. When someone asks an assistant which software to buy or how to solve a problem, it names a few brands and cites a few sources. GEO is about being one of them.
It starts with technical access. An assistant can only cite a page it can fetch, read and trust. Many sites block AI crawlers without realizing it, through robots.txt rules, CDN bot settings or content that only appears after JavaScript runs. From there, it is about clear entities, consistent facts and content written to be quoted.
What we look at
Visibility measurement
- A prompt set built from your customers' real questions
- Mention and citation tracking across major assistants
- Share of voice against named competitors
- Which of your pages get cited, and for what
AI crawler access
- robots.txt rules for GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others
- CDN and firewall bot settings that block AI crawlers by default
- Rendering checks for crawlers that do not run JavaScript
- llms.txt and machine-readable summaries
Entity & fact consistency
- Organization, Product and Service schema with sameAs links
- Consistent names, descriptions and facts across your site and profiles
- Knowledge panel and third-party profile alignment
- Author and expertise signals
Answer-ready content
- Question-led page structure with direct, quotable answers
- Comparison, pricing and use-case pages assistants draw on
- Original data and statistics worth citing
- Content refreshes for pages that lost citations
What you receive
AI Visibility Baseline
Where you appear across assistants today for your priority prompts, and who appears instead.
Citation Gap Map
The prompts and sources competitors win, mapped to the page, fix or content that would close each gap.
Monthly tracking
Mentions, citations and share of voice over time, with notes on what changed and why.
How it runs
Prompts
We build a prompt set from customer questions, sales calls and search data.
Baseline
Measure mentions and citations across assistants and competitors.
Access
Fix crawler blocks, rendering gaps and schema issues.
Content
Brief and refresh pages assistants should be citing.
Track
Re-measure monthly and adjust priorities.
This is for you when…
- Buyers research your category with AI assistants before contacting sales
- Competitors keep showing up in ChatGPT or Perplexity answers and you do not
- You want a measured baseline before investing in AI search
- Your site already has solid traffic but AI referrals are flat
Look elsewhere when…
- You want guaranteed placement in a specific assistant (no one can promise that)
- Your site has major unresolved technical issues (start with an audit)
GEO & AI Search Visibility questions
What is GEO?
Generative Engine Optimization (GEO) is the work of making your brand and pages show up, and get cited, in answers from AI assistants such as ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. It builds on technical SEO: an assistant can only cite pages it can fetch, parse and trust.
How is GEO different from SEO?
They share a foundation. Crawlable pages, clean structured data and clear writing help both. GEO adds measuring how assistants answer your customers' questions, checking AI crawler access, keeping brand facts consistent across the web, and shaping content so it is easy to quote.
Which AI platforms do you track?
We track the assistants your buyers actually use, typically ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude and Microsoft Copilot. The prompt set and platform mix are agreed at kickoff.
Can you guarantee my brand will be cited?
No. AI answers vary by prompt, user and model version, and no one controls them. What we can do is remove the technical barriers, strengthen the signals assistants rely on, and measure the change over time.
Does llms.txt help?
Evidence that assistants use llms.txt is still limited. It is cheap to add and does no harm, so we usually include it, but we put far more weight on crawler access, rendering, structured data and content quality.
Is my CDN blocking AI crawlers?
It might be. Some CDNs and security tools now block AI crawlers by default or through bot-management settings. We check your robots.txt, firewall rules and CDN configuration as part of every engagement.