LLM & AI Monitoring
Track how your brand appears across ChatGPT, Perplexity, Gemini, and Copilot — including what they say when it is wrong.
Best for
Brands whose reputation is now being summarised by a model.
How we run it.
We start with the prompt set rather than the tool: the questions a trader, a player, or a procurement lead would actually type into an assistant, logged alongside the answer and the sources each assistant cited to produce it. The same set is re-run on a schedule, because these models answer the same question differently from one run to the next, so a single bad screenshot is not a finding — we raise a hallucination or a sentiment shift only once it repeats across runs and across assistants. Correction is then aimed at the cited sources, never the model, and where an assistant is repeating something accurate but unflattering we say so instead of filing it as an error to be suppressed.
What’s included.
- 01Prompt-set monitoring across major assistants
- 02Sentiment and factual-accuracy tracking
- 03Misinformation and hallucination alerts
- 04Share-of-voice reporting by assistant
Questions about LLM & AI Monitoring.
- How do you monitor what ChatGPT and Perplexity say about your brand?
- Monitoring what AI assistants say about a brand means running a fixed set of buyer-style prompts across ChatGPT, Perplexity, Gemini, and Copilot on a repeating schedule, and recording both the answer given and the sources cited to reach it. Because the same prompt can return a different answer on the next run, the pattern across repeated runs is the finding, not any single response. Reporting is broken out by assistant, so you can see which one is misreading you rather than an averaged score that hides it.
- What can be done if an AI assistant gives false information about my company?
- A false claim in an AI answer is corrected at the sources the assistant is drawing from, because there is no edit button on the model's output. We trace which pages, profiles, or forum threads the wrong claim traces back to, work on correcting or outweighing them, and keep the prompt set running to see whether the answer moves. If the assistant turns out to be repeating something accurate that simply reads badly, that is a reputation and positioning problem, and we will tell you that rather than bill it as a hallucination.
Rest of discovery.
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Thirty minutes, no deck. You describe the problem, we tell you whether we have solved something like it and roughly what it would take.
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