A GEO Agency that Treats Citation as the New Ranking
ChatGPT, Perplexity, Gemini, and Claude already drive a real share of B2B research traffic. Most companies are invisible to them. We build the static HTML, schema, and authority signals that get you cited.
What Generative Engine Optimization actually is
Generative Engine Optimization (GEO) is the discipline of making your content discoverable, parseable, and quotable by large language models — so that when a buyer asks ChatGPT, Perplexity, Gemini, or Claude a question in your category, your brand is one of the cited sources.
Why traditional SEO isn't enough
If you're not in the citation set, you're not in the consideration set.
5 steps to decide
- 1.Search
- 2.10 blue links
- 3.Click
- 4.Read
- 5.Decide
4 steps to decide
- 1.Ask AI
- 2.Cited sources synthesised
- 3.Decide
- 4.Maybe click
What we actually fix
Static HTML readability
Most modern sites are JS-rendered. AI bots can't read JavaScript. We rebuild the static layer.
Schema architecture
JSON-LD that AI engines understand. Organization, Service, Article, FAQ, HowTo, DefinedTerm, Speakable.
Authority signal stack
The off-site citations and listings that AI engines weigh — the GEO equivalent of a backlink profile.
llms.txt and llms-full.txt
The new "robots.txt for AI." We write yours so every model gets a clean, structured map of your site.
Citation-targeted content
Articles structured for AI consumption: TL;DRs, definition blocks, structured comparisons, named frameworks.
How a GEO audit works
Crawl as 5 different AI bots
GPTBot, ClaudeBot, PerplexityBot, Googlebot, and regular Chrome — then diff what each one actually sees on your site.
Map signals against 50 target queries
Audit your current schema, llms.txt, and authority signals against the 50 prompts your buyers actually ask AI engines.
Build the prioritised fix list
Usually 15–25 items split into "this week," "next 30 days," and "next 90 days," with expected citation impact per item.
How GEO engagements are structured
A fixed-fee diagnostic, a scoped implementation, and an ongoing program. Pricing is shared in writing after a brief scoping call.
GEO Audit
Fixed-fee diagnostic. Two weeks. Full deliverable.
GEO Implementation
One-time engineering + content build.
GEO Ongoing
Scoped to content cadence, authority work, and channel mix.
FAQs
Frequently Asked Questions
- What is GEO?
- GEO stands for Generative Engine Optimization. It is the discipline of making your content discoverable, parseable, and quotable by large language models like ChatGPT, Perplexity, Gemini, and Claude — so that when a buyer asks one of those engines a question in your category, your brand shows up as a cited source.
- How is GEO different from SEO?
- SEO optimises for ranked blue links inside Google's results page. GEO optimises for inclusion inside an AI-generated answer. The technical work overlaps — clean HTML, schema, authority — but the success metric is different. SEO measures rank and clicks. GEO measures inclusion and attribution inside AI answers, even when the user never clicks through.
- Will GEO replace SEO?
- No. They are layered, not substitutive. Traditional search still drives a majority of B2B research traffic in 2026, and AI engines themselves rely heavily on web crawl signals that SEO already optimises. The right model is to do both — keep your SEO foundation strong and add a GEO layer on top so you remain visible as buyer behaviour shifts.
- How do I know if AI engines are citing my site?
- We use a combination of server log analysis (looking for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended user agents), prompt-based testing across the major engines, and tools like Profound, Peec, and AthenaHQ that track brand mentions inside AI answers. The audit deliverable includes a baseline citation map.
- Do AI engines respect robots.txt?
- Most do — including OpenAI's GPTBot, Anthropic's ClaudeBot, Google-Extended, and PerplexityBot. Each runs a distinct user agent that can be allowed or blocked independently in robots.txt.
- What is llms.txt?
- llms.txt is an emerging standard for giving large language models a clean, structured summary of your site. It typically lives at /llms.txt and contains a markdown overview of what your company does, your key pages, your services, and your published content. A longer llms-full.txt expands this with more context.
- Does schema actually help with AI engines?
- Yes. Structured data — Organization, Service, Article, FAQ, HowTo, DefinedTerm, and Speakable — gives engines machine-readable definitions of what your content means. AI engines use these to disambiguate entities and to decide which sources to cite. Schema is one of the highest-leverage GEO investments because the work is one-time but the payoff compounds.
- How long until GEO work shows results?
- Static HTML and schema fixes start appearing in AI answers within 2–6 weeks as the major bots re-crawl. Authority and citation work takes 60–120 days to compound. Most clients see measurable mention growth in AI engines by month three.
- What's the ROI of GEO?
- It depends on how much of your category research has already moved to AI engines. For B2B technology, professional services, and considered consumer purchases, AI-mediated research is now a meaningful share of pipeline-influencing touchpoints. We model expected citation lift and downstream pipeline contribution before any engagement.
- Can you guarantee citations?
- No, and we'd be lying if we did. AI engines change their citation behaviour without notice. What we can guarantee is the underlying work — clean static HTML, complete schema, a real llms.txt, authority signal building, and citation-targeted content — that is proven to correlate with inclusion in AI answers.
Book a GEO audit consultation
20 minutes. We'll show you exactly what AI engines see when they crawl your site today — and what they'd cite if you fixed it.