LLM Visibility Monitoring
AI assistants have become a first stop for product and vendor research, which means your brand is now described to buyers by a model rather than by your own landing page. LLM visibility is the measure of how often, how accurately and how favourably that happens.
What LLM visibility monitoring tracks
We continuously track your brand’s presence across ChatGPT, Gemini, Perplexity, Copilot and Google’s AI answers. For each platform we record how often you are mentioned, which products or services get recommended, which competitors appear beside you, and how that picture moves from week to week.
The prompts that matter
Keyword rankings and LLM visibility are not the same thing. We build a prompt set around how your buyers actually ask: comparisons, best-tool-for-a-job questions, pricing and integration queries, and the objections that surface late in a deal. That set becomes your benchmark, and we report against it rather than against a vanity score.
From monitoring to improvement
Monitoring on its own changes nothing, so every report carries the reason behind a gap: missing structured data, thin or outdated pages, claims that no third-party source confirms, or absence from the sites these models quote most often. Google’s documentation on structured data covers the machine-readable layer where most of these fixes begin.
How it fits the rest of your search work
Work on LLM visibility overlaps with classic search but does not replace it. Most clients run it alongside website optimization for AI services and their existing SEO management, so the same content improvements pay off in both channels. For ecommerce catalogues, the related check is an agentic commerce readiness audit.
