That shift creates a measurement problem. If a model recommends you, or fails to, there is no ranking report that tells you so. A new category of tooling has grown up to answer the question directly: when someone asks an AI assistant about your market, does your brand come up, and in what terms?
Pricing across the category runs from roughly $50 to several hundred dollars a month, and the tools are not interchangeable. Some are built for a single brand, some for an agency running dozens. Some count mentions, some try to connect those mentions to traffic and revenue.
Here are five worth looking at, and what each one is actually built for.
Quick tool comparison
| Platform | AI models tracked | Key feature | Pricing | Best for |
|---|---|---|---|---|
| AI Peekaboo | 7 (ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Claude, Microsoft Copilot) | Multi-client dashboard and white-label reporting | From $50/mo | Agencies needing affordable multi-client scale |
| Promptwatch | Multiple | Sentiment and competitor monitoring | From $99/mo | Marketers who want deep analytics |
| Mentions.so | 3-8, depending on tier | Clean interface and industry ranking | From $49/mo | Small teams wanting intuitive tracking |
| Trakkr | 8 | Revenue attribution through Google Analytics | From $79/mo | Brands connecting AI traffic to revenue |
| LLMrefs | 10+ | Keyword-level tracking with geo-targeting | From $79/mo | SEO teams tracking at keyword level |
1. AI Peekaboo
Best for: agencies that need white-labelled AI visibility tracking across many clients.
AI Peekaboo tracks brand mentions and citations across seven engines - ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Claude and Microsoft Copilot - from a single multi-client dashboard.
Where several competitors were built for enterprise buyers, this one was built agency-first: unlimited team seats, white-labelled reporting and per-client campaigns are available from the entry tier rather than reserved for the top one. Automatic content generation and publishing are listed on the product roadmap, which would close the gap between what the platform finds and what you do about it.
Key strengths:
- Tracks seven major AI engines on every plan.
- You choose how many prompts, which models, and how often they run - daily, every two days, every three days or weekly.
- Citation source inspection, showing where an AI answer pulled its information from.
- Google Search Console integration for search-demand context.
- Multi-client workspace built for agencies handling several brands.
- White-label reporting and a Looker Studio connector.
- Read and write API, plus an MCP server that connects to Claude, ChatGPT and other AI agents.
Pricing: Starter $50/month, Peek $100/month, Grow $200/month. Custom pricing for agencies managing ten or more brands.
Limitation: there are no traditional SEO features and no enterprise security controls. Teams that want keyword rank tracking alongside AI visibility will need a separate SEO platform.
2. Promptwatch
Best for: marketers who want analysis rather than raw data.
Promptwatch turns brand mentions, sentiment and competitor activity into structured reports with recommendations attached. It is not full competitive intelligence in the BuzzSumo sense, but the analytics layer is deeper than most trackers offer. You can follow share of voice over time, compare yourself against rivals across the major models, and see which topics your citations are missing.
Key strengths:
- Detailed analytics reporting rather than raw mention logs.
- Brand mention tracking with sentiment.
- Competitive benchmarking across the main models.
- Recommendations written as actions rather than observations.
Pricing: Essential $99/month, Professional $249/month, Business $579/month. A trial is available for $1.
Trade-off: the breadth of the analytics makes the learning curve steeper than a simple tracker. Expect to spend onboarding time before the reporting module pays off.
3. Mentions.so
Best for: small teams and individuals on a budget who want AI visibility tracking without an analyst.
Mentions.so is the easiest place to start. The interface is built for people who do not spend their days in dashboards, and the free plan covers the top three models, with wider coverage on paid tiers. Industry rankings show share of voice inside a defined category, which gives a team with no prior benchmark something to measure against. Agencies running several clients need the $399/month agency tier.
Key strengths:
- Simple, clean interface with very little to learn.
- Covers ChatGPT, Gemini and Claude at the entry level.
- Industry rankings and competitor tracking included.
- Sentiment analysis comes as standard.
- An agency plan exists for multi-client work.
Trade-off: three models on the entry plan means missing whatever your audience uses outside that set, and the product is younger than several of its rivals.
4. Trakkr
Best for: brands and agencies that want AI visibility expressed in money.
Trakkr's distinguishing feature is revenue attribution. It connects Google Analytics to citation traffic from AI answers, so conversions can be read alongside visibility - something most tools in this category leave out entirely. Alongside that it tracks eight models, analyses how each one presents your brand, reviews site performance and generates optimisation suggestions.
There is a free tier for evaluation, and white-label reporting for agency work.
Key strengths:
- AI-to-revenue attribution through Google Analytics.
- Tracks eight models, including the major platforms.
- Citation tracking and perception analysis.
- Automatic site optimisation suggestions.
- White-label agency reporting.
- Free plan covering one brand and five queries.
Pricing: free plan, Growth $79/month, Scale $399/month.
Trade-off: the interface is busier than the cleaner alternatives, and one brand with five queries is a thin free tier to judge the product on.
5. LLMrefs
Best for: SEO teams that want AI visibility measured at keyword level, with the widest engine coverage.
LLMrefs approaches the problem from the keyword rather than the prompt, which makes it the most familiar option for a team already running a rank tracker. It covers more than ten AI engines - the broadest reach in this comparison - with geo-targeting available, and the pricing stays reasonable given that coverage.
Key strengths:
- Tracks more than ten AI engines.
- Keyword-centric approach familiar to SEO professionals.
- Geo-targeting included.
- Affordable relative to the feature set.
- Straightforward interface with low onboarding friction.
Trade-off: keyword-level methodology can miss the patterns that only show up in open-ended conversation. If you care how models talk about your brand rather than where it ranks, a prompt-level tracker will tell you more.
How to choose
Price on its own says very little about fit. A $50 tool with white-label reporting can serve an agency better than a $500 one that was never built to hold ten clients side by side.
Engine coverage depends on your audience. If your buyers live inside Google products you need both AI Overviews and AI Mode, and some platforms cover one but not the other. Teams working in several languages need geo-targeted reporting.
Agency infrastructure is the real dividing line. White-label reports, client-level dashboards and seat licensing separate the tools built to scale from the ones you outgrow the moment you take on a second client.
Attribution depth varies more than the marketing suggests. Most tools measure visibility, mentions and citations without ever connecting them to traffic or revenue. If you are accountable for performance as well as brand, that gap matters.
Reporting frequency is an operational question. A visibility drop you find a week later is a different problem from one you find the next morning.
Conclusion
For agencies managing several clients on tight budgets, AI Peekaboo offers the strongest mix of multi-client features, engine coverage and price: a white-label dashboard, team seats and seven engines without enterprise pricing.
Promptwatch and Trakkr answer narrower questions - deep analytics in one case, revenue reporting in the other - and Mentions.so and LLMrefs sit at opposite ends of the simplicity-and-coverage trade. Pick the one whose question is yours.
Our own take on writing with AI covers a different part of the same problem: what you publish, rather than who cites it.
About this guest post
This is a guest post contributed by the team behind AI Peekaboo. We edited it for clarity and removed a couple of unsourced statistics before publishing; the recommendations and the comparison are the author's own.