From asking ChatGPT yourself to enterprise GEO platforms — the real landscape, and how often it's worth checking.
"AI brand monitoring" is a fast-growing category, and like most fast-growing categories, it now has options ranging from free and manual to genuinely expensive enterprise software. None of these are better or worse in some absolute sense — they trade off effort, coverage, and cost differently. Here's the actual landscape.
The simplest approach costs nothing but your own time: open ChatGPT, Claude, Gemini, or whichever assistant your buyers likely use, and ask the kind of question they'd ask — "what's the best project management tool for a small agency," not "tell me about [your brand]." Do this without naming your brand, since a leading question defeats the point. This is honest, direct, and genuinely useful for an occasional check, but it doesn't scale: you'll only see one run of one question on one model, and answers vary between runs, so a single manual check can mislead you either way.
Tools in this category, including Mentioned, automate the manual approach: generate several realistic buyer questions, ask the model each one independently, and report whether your brand appears — with the actual quoted sentence, not just a checkmark. This gives you more signal than one manual query without requiring a subscription. The honest limitation, at least for Mentioned today: it checks Claude only. It does not currently test ChatGPT, Gemini, or Perplexity, and doesn't claim to — see how it works for exactly what runs under the hood. If your buyers are split across several assistants, a single-provider free check is a useful data point, not a complete picture.
For ongoing, multi-model tracking at volume, a real market of paid tools has emerged. Platforms like Profound track visibility across ChatGPT, Perplexity, Gemini, Claude, Copilot, and others with daily automated data collection, aimed at agencies and larger brands managing this across many clients or a large catalog. Peec AI focuses on monitoring how often a brand appears in ChatGPT, Perplexity, Google AI Overviews, and Gemini answers, including where it ranks and the sentiment attached to the mention. There are others in this space (some retrofitted from existing SEO suites, some built AI-first) — this isn't an exhaustive list, and we have no commercial relationship with any of them; they're mentioned here because they're real, findable tools, not because we're recommending one over another.
The tradeoff is straightforward: these platforms cover more models, run more frequently, and give you trend lines over time — at a real subscription cost, usually aimed at teams that need to report this to stakeholders regularly rather than check it themselves once in a while.
Because AI answers vary between runs and models get updated on their own schedule (not yours), there's a meaningful difference between checking once and treating the result as fixed truth, versus building a rhythm. A reasonable cadence for most businesses: check when something changes in your public presence (new coverage, a rebrand, a major launch), and otherwise on a regular interval — monthly or quarterly is plenty for most brands, since day-to-day fluctuation in a single run is more likely noise than signal. Daily monitoring makes sense mainly if you're actively running a campaign to change your AI visibility and want to see whether it's moving.
If you haven't checked at all yet, start with the free, honest option: run a check, see the actual quoted answers, and treat it as your baseline. If it turns out you need broader model coverage or ongoing tracking at scale, that's a reasonable next step — but it's a next step, not a first one.