Enterprise · AI Reasoning

Understand why AI mentions you (or doesn't)

AI Reasoning surfaces each LLM's own explanation for every keyword in your audit — straight from the model. Stop guessing why your brand was chosen, missed, or replaced by a competitor.

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Per-keyword
Reasoning Captured
4
LLMs Explained
Verbatim
Direct from Model
Actionable
Content Gaps Found
AI Reasoning - per-LLM explanation panel inside a keyword response excerpt

See exactly why a competitor was picked over you

For every keyword in your audit, AI Reasoning records the LLM's own paragraph explaining which sources it consulted, which brands it considered, and why it landed on the answer it gave. When a competitor is mentioned instead of you, the model will often tell you why — specific features it found, schema it parsed, comparison content it relied on.

  • Per-LLM, per-keyword explanation in the model's own words
  • Specific reasons a competitor was chosen over your brand
  • Sources, features and evidence the LLM weighed in its answer
  • Patterns across keywords highlight content themes to invest in
AI Reasoning - side-by-side reasoning comparison across LLMs

Learn what kind of evidence each model trusts

ChatGPT, Gemini, Perplexity and Google AI Mode all weight evidence differently — some lean on review aggregators, others on first-party documentation, others on comparison tables and structured data. Reasoning makes those preferences visible across your audit so you can shape content for the platform that matters to your audience.

  • Side-by-side reasoning for the same keyword across the Enterprise platform set
  • Spot when a model leaned on third-party listicles vs. first-party docs
  • Identify the evidence types each platform consistently rewards
  • Prioritise schema, comparison pages and feature documentation accordingly
AI Reasoning - quality breakdown showing genuine knowledge vs. keyword matching

Tell genuine knowledge apart from keyword matching

Not every mention is a win. The reasoning often reveals whether an LLM mentioned your brand because it has genuine knowledge of your product, or because it was simply pattern-matching keywords in a list. Knowing the difference tells you whether to defend a position or do the work to deepen the model's understanding.

  • Distinguish substantive mentions from shallow keyword matches
  • Flag keywords where the model is uncertain or hallucinating about your brand
  • Surface specific claims about your product that need correction
  • Build a content roadmap to deepen model knowledge of your category

Frequently asked questions

AI Reasoning is included on the Enterprise plan. It is captured for every keyword in every audit, across the Enterprise AI platform set, with no additional cost or setup.

We ask each LLM to explain its answer at the same time as we record the mention. The reasoning is the model's own words — not our interpretation — and it is stored verbatim against the keyword and LLM it came from.

Use it to brief content. If reasoning consistently cites a comparison page, a feature list, or third-party schema you don't have, that's the work that will move the needle. We surface the reasoning inline in the keyword response excerpts so it sits next to the answer it explains.

See how AI sees your brand

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