AI Agents · Visibility

Where AI agents
look — and how
to be there.

AI agents don't rank pages. They cite sources. Getting into those citations is a different problem than getting onto page one — and most SEO strategies weren't built for it.

How LLM citation actually works.

When someone asks ChatGPT or Perplexity a question about your industry, the model doesn't browse the web for the best page — it retrieves passages from sources it deems authoritative, synthesises them, and generates an answer. Your brand gets cited if your content is (a) indexed by the right crawler, (b) structured in a way that makes relevant passages easy to extract, and (c) associated with enough entity signals to be recognised as a credible source on the topic.

This is passage citation, not keyword ranking. The optimisation levers are different: source authority, topical depth, schema clarity, named entity recognition, and retrieval-augmented generation (RAG) compatibility. Each AI platform has its own crawl pipeline and grounding logic — what works for Google AI Overviews won't automatically translate to Perplexity. A platform-specific strategy is the only reliable path to consistent citation share.

Platform comparison.

Five AI platforms. Five different crawl pipelines. One brand that needs to be in all of them.

Platform Crawls via Citation mechanism Optimisation lever
ChatGPT (GPT-4o) Bing index RAG over search results Entity authority + Bing ranking + structured content
Perplexity Own crawler (PerplexityBot) Direct passage extraction Passage clarity + structured content + source authority
Google AI Overviews Googlebot Quality-weighted grounding E-E-A-T + schema + topical authority
Bing Copilot Bingbot Conversational grounding Schema markup + Bing IndexNow
Claude (claude.ai) No active crawl (training + plugins) Training data + retrieval plugins llms.txt, agents.md, cited external sources

What this means for your brand.

01

You probably have a brand mention gap.

Most brands appear in Google but not in AI answers. ChatGPT, Perplexity, and AI Overviews are increasingly the first stop for high-intent queries — and the brands that show up there built that presence deliberately, not by accident.

02

Citation share is measurable.

How often your brand is cited for target queries — across ChatGPT, Perplexity, and AI Overviews — is trackable with the right methodology. UTM-tagged citation sessions confirm real traffic, not just mentions.

03

The audit comes first.

Before any strategy: an AI citation audit across all five platforms for your target queries. It shows where you appear, where competitors appear, and which gaps are worth closing first. That's the starting point for a GEO engagement.

Machine-readable files.

Two emerging standards that signal your site structure directly to AI agents — not via crawl inference, but via explicit declaration.

/llms.txt

LLMs.txt

A plain-text index of your site's most important pages, structured for LLM ingestion. Tells AI systems what your site is about and where the high-value content lives — without requiring them to crawl and infer it. This site has one at /llms.txt.

/agents.md

Agents.md

A machine-readable manifest for AI agents — identity, services, verified outcomes, and links to structured content. Optimised for agent plugins and automated retrieval systems. This site has one at /agents.md.

Start with an AI citation audit.

I'll run your brand through ChatGPT, Perplexity, and Google AI Overviews for your target queries — and tell you exactly where you appear, where competitors appear, and what to do about the gap.

Get an AI citation audit →
Let's Talk