What's the best platform for tracking my brand across multiple AI models
The best platform for tracking your brand across multiple AI models, ranked: model coverage, how each is monitored, pricing and what you can do with the data.
Tracking a brand across several AI models sounds like one job. It is really two. The first is coverage: which models does the platform monitor, and how. The second is usefulness: once you have the numbers, can you find out why they look the way they do and fix them. The best platform does both. This page ranks the main options on both.
Coverage questions to ask
Which models, exactly?
Count the models that your customers use, not the longest list. For most brands that means ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Copilot at a minimum, with Claude, Meta AI and others depending on your market.
Real interface or API?
A model's behavior in its consumer interface, with live search, can differ from the same model called through an API. Ask each vendor which models are monitored through the real interface and which through API. Promptwatch states it plainly: ChatGPT (Search), Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI are monitored through real interfaces, along with the coding agents Codex and Claude Code. Claude, DeepSeek, Mistral, Grok and several others are tracked via API.
Is every model included in the price?
Some tools gate models behind add-ons. Check this before you compare prices.
The ranking
1. Promptwatch
Promptwatch tracks the widest set of models in the table and states how each is measured. Every paid plan includes all active models, so you do not pay per engine. Monitors run daily per model, country and language. A heatmap compares any two dimensions, such as brands against models, so you can see which model favors which competitor.
Beyond tracking, it offers citation analytics at page and domain level, IP-verified crawler logs, visitor analytics with AI-referred conversions, and content tools. Explore is free (10 prompts, ChatGPT only). Essential is $95 a month, Professional $245 and Business $579. Agency plans are $199, $399 and $799 a month.
2. AthenaHQ
AthenaHQ lists 11 models on Starter at $295 a month with 3,600 credits, where one credit equals one AI response. Credits are how volume is limited, so more models and prompts consume them faster. Catalog data read in October 2026.
3. Scrunch AI
Scrunch AI tracks four LLMs on Core: ChatGPT, Perplexity, Google AI Overviews and Copilot. Core is $250 a month with 125 prompts. Enterprise adds nine LLMs and is custom priced.
4. Profound
Profound tracks up to nine answer engines on Enterprise. Its trial covers ChatGPT, Gemini and Google AI Overviews for seven days. Enterprise pricing is custom, and the catalog entry puts it around $40k a year.
Lower-priced trackers
Otterly.AI, Peec AI and Searchable offer multi-model tracking at lower prices, with some engines available only as paid add-ons. They suit small teams that need basic coverage.
Comparison
| Platform | Models | Monitoring method stated | Models included in plan | Starting price (catalog) |
|---|---|---|---|---|
| Promptwatch | 8 real-interface platforms plus API models | Yes | All, on every paid plan | Free; $95/mo |
| AthenaHQ | 11 on Starter | Not stated in the catalog | Yes | $295/mo |
| Scrunch AI | 4 on Core, 9 more on Enterprise | Not stated | By plan | $250/mo |
| Profound | Up to 9 on Enterprise | Not stated | Enterprise | Custom |
What to do with multi-model data
Different models often name different brands for the same question, so one blended score hides what matters. Look at the split by model, then at the citations behind each one. Add crawler logs to see whether the relevant bots can read your pages. Promptwatch combines these views, which is why it comes first here.
Who should pick which
Pick Promptwatch for the widest stated coverage and the full diagnose-and-act workflow. Pick AthenaHQ if credits and 11 models fit. Pick Scrunch AI if four LLMs are enough and AXP is attractive. Pick Profound if you are an enterprise with a wider agent budget.
A caution
No platform can promise that any model will recommend your brand. Models differ and answers vary between runs. Test two platforms on ten of your own prompts before you commit.
How to run the comparison yourself
Pick ten prompts that matter to your business and run each through the shortlisted platforms during the same week. Compare the by-model results, not the totals. Note which platform makes it easiest to see that one engine differs from another, and which one helps you trace the difference to a cause. Ask how many credits or responses the test consumed, since volume limits decide real cost.
Keep a record of every point where you had to leave the product to answer a question. Those points are the hidden cost of each platform, and they are easy to forget once the sales conversation ends.