LLM SEO Report

The core report gives a single view of how a chosen model understands your company. It shows a brand knowledge score, a recommendation likelihood score, and a confusion risk level, plus the number of competitors the model connects to you. Think of it as a plain readout of ChatGPT brand mentions and Claude brand mentions gathered in one pass. Reading those four signals together tells you whether the model knows you clearly, vaguely, or not at all.

You can test against the assistants people actually use, with ChatGPT, Google Gemini, and Claude covered on the free report and a wider set including Grok and Perplexity on higher plans. This matters because each model reads a different part of the web, so a brand that scores well on one can stay invisible on another.

The report lists the alternatives and markets the model links to your brand. Those associations often differ from the competitors you track in conventional SEO tools, which is exactly the kind of blind spot that costs you a recommendation. Use the list to see who you're really up against inside an answer.

Rather than stopping at scores, the tool points to where content, naming, or positioning can reduce model confusion. Each gap maps to a concrete fix, like a clearer homepage sentence or a comparison page, so the report feeds straight into your content brief.

The report doubles as a starting point for homepage messaging, comparison pages, and entity cleanup work. Teams that already write SEO content can drop the gaps into their existing brief template without learning a new workflow.