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    AI VisibilityUpdated October 2, 202610 min read

    The 9 Best AI Model Tracking Dashboard Tools for 2026

    We ran 20 buyer prompts three times through four AI engines. The top recommendation changed between identical runs up to 44 per cent of the time, which is the whole case for a tracking dashboard. The nine best options, with verified prices and coverage.

    Matiss Katanenko

    Matiss Katanenko

    Co-founder, Honeyb

    On this page
    The 9 Best AI Model Tracking Dashboard Tools for 2026

    An AI model tracking dashboard shows how ChatGPT, Gemini, Claude, Perplexity and the other engines answer questions about your category: which brands they recommend, which sources they cite, and how that changes over time. Before comparing the tools, we measured why the dashboard format matters at all. On 13 July 2026 we ran 20 buyer-intent prompts three times each through four engines via API (gpt-5-mini, gemini-2.5-flash, claude-haiku-4-5 and Perplexity's sonar), 240 answers in total.

    The number-one recommended brand changed between consecutive identical runs 44 per cent of the time on Gemini, 43 per cent on Perplexity, 35 per cent on ChatGPT and 28 per cent on Claude. A single manual check is a coin flip wearing a lab coat. This roundup covers the nine dashboards that turn that noise into a trend line; Honeyb is ours and is disclosed as such.

    What our measurement shows a dashboard has to handle

    Top-pick change rate

    How often the top recommendation changes between identical runs

    How often the top recommendation changes between identical runs
    ItemTop-pick change rate
    Gemini44.1%
    Perplexity42.5%
    ChatGPT35%
    Claude27.5%
    Share of consecutive identical prompt runs where the engine's number-one recommended brand changed: Gemini 44%, Perplexity 43%, ChatGPT 35%, Claude 28%. Honeyb measurement, 13 July 2026: 20 buyer-intent prompts, 3 runs each, via API (gpt-5-mini, gemini-2.5-flash, claude-haiku-4-5, sonar).

    The volatility inside one engine is only half the problem. Across engines, the answers barely agree: ChatGPT and Perplexity named the same number-one brand on just 20 per cent of prompts and shared only a quarter of their recommended brands overall. Even the closest pair, Gemini and Claude, agreed on the top pick 53 per cent of the time. Watching one engine tells you almost nothing about the others.

    EngineTop pick changed between identical runsBrand overlap between consecutive runsAverage sources cited per answer
    Gemini44%54%10.7
    Perplexity43%61%8.3
    ChatGPT35%42%15.0
    Claude28%67%8.8

    The sourcing side is just as uneven, which is why a dashboard needs a citations view and not just a mention counter. ChatGPT pulled its 900 citations from 445 distinct domains, a long tail with no single gatekeeper: its top three domains carry under 8 per cent of citations. Perplexity concentrates: Reddit alone is 14 per cent of its citations and YouTube another 8 per cent.

    Gemini returned 74 per cent of its source links wrapped in Google's grounding redirect URLs, masking the underlying site. And one cross-engine constant: Forbes was the only domain to appear in the top-cited list of all four engines. Different engines, different sources, different volatility; that spread is exactly what the tools below exist to track. Our guide to why spot-checking fails covers the statistics in more depth.

    The nine dashboards compared

    Prices are in US dollars as each vendor shows them to a US visitor, all read on 2 October 2026. Full cost detail, including per-prompt normalisation, is in our AI brand monitoring cost guide.

    ToolAI engines on entry tierMeteringEntry priceFree door
    Honeyb (ours)1 model of choice; all 8 on the top tier10 prompts, scanned daily$29Free AI visibility check
    OtterlyChatGPT, Google AI Overviews, Perplexity, Copilot15 prompts$29Free trial
    SightChatGPT, Claude, Gemini, Perplexity, Grok5,000 AI credits; no prompt count stated$99 Pro7-day trial, card required
    LLM PulseChatGPT, Perplexity, AI Mode, AI Overviews, Gemini50 promptsAbout $59 (about $49 annual)14-day trial
    Dageno9 models, not named on its pricing page50 prompts$49 Starter (shown as a cut from $89)7-day trial
    ProfoundNot publishedNot publishedPricing on request (custom Enterprise)Free trial
    Peec3 models chosen from ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini50 prompts$95 StarterNot stated
    Athena11 models on StarterCredits, 1 per AI response$295 StarterFree plan
    SemrushGoogle, ChatGPT, Perplexity, Gemini and moreCounts not stated$199 SEO + AI Search Starter7-day trial

    Honeyb

    Honeyb is our tool, so judge this entry accordingly. The dashboard tracks how often each engine recommends your brand against named competitors, the share of voice that produces, the sentiment of the mention, and the sources behind each answer. Prompts are scanned daily, which matters given the change rates above: a daily series is what separates a real shift from the 28 to 44 per cent baseline churn we measured.

    Engine coverage is priced directly, 1 model at $29, 3 at $79, all 8 at $199, and a free AI visibility check shows the dashboard on your own brand before any payment.

    Otterly

    The Otterly dashboard
    Otterly tracks prompts across four AI surfaces from $29 a month.

    Otterly's entry tier covers four surfaces (ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot) at $29 a month for 15 prompts, with unlimited seats at every tier. The four-engine entry coverage is the widest at this price point in the market. Prompt counts are the meter, and the jump to 100 prompts costs $189 a month.

    Sight

    Sight's Pro plan starts at $99 a month for 5,000 AI credits, 1 site and 1 seat, covering ChatGPT, Claude, Gemini, Perplexity and Grok. It is one of the few tools covering Grok at entry. Credits rather than prompts are the meter and the page states no tracked-prompt count; each additional site costs $59 a month and Enterprise starts at $2,500.

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    LLM Pulse

    LLM Pulse lists its prices in euros and shows its own approximate US-dollar conversion: about $59 a month (about $49 on annual billing) for 50 prompts across five surfaces, including Google AI Mode and AI Overviews, with unlimited seats and a 14-day trial that requires a card. One project per plan is the constraint to check if you run several brands.

    Dageno

    Dageno's Starter is $49 a month, shown as a cut from $89, for 50 prompts on one brand across 9 AI models that its pricing page does not name. Growth is $199 for 250 prompts and 2 brands, and Scale is $410 for 600 prompts with API access. Paid plans start with a 7-day free trial and annual billing takes about 15 per cent off.

    Profound

    Profound publishes no price: there is a free trial, then custom Enterprise pricing on request. The deeper analytics, API and white-label options are what that contract buys. It is the strongest fit for enterprise analytics budgets, and the hardest to compare with the self-serve tiers here until you have a quote that states engines and response volumes.

    Peec

    Peec's Starter is $95 a month for 50 prompts on three models you choose from six surfaces (ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini). Pro is $245 a month for 150 prompts and Advanced is $495.

    Athena

    Athena meters by credits, one credit per AI response, rather than by fixed prompt counts. A free plan is the way in; the $295 Starter carries 3,600 responses across 11 models with unlimited seats. Flexible in heavy months, harder to budget, and the per-response cost of 8.2 cents at Starter is mid-market.

    Semrush

    Semrush bundles AI visibility into its wider suite from the $199 SEO + AI Search Starter plan ($165.17 a month billed annually), tracking prompts across Google, ChatGPT, Perplexity, Gemini and more; exact prompt counts are not stated on the pricing page. The sensible buy if you want one contract for SEO and AI tracking together, and the expensive one if you only need the AI dashboard.

    How to choose

    Match the dashboard to the engines your buyers actually use, not to the longest coverage list. If your category answers concentrate on ChatGPT and Perplexity, note that those two engines agreed on the top recommendation just 20 per cent of the time in our measurement, so covering both is not optional. Check the meter next: fixed prompt counts (Otterly, Dageno, LLM Pulse, Honeyb) are predictable, credits (Athena, Sight) flex, and unstated counts (Semrush) need a trial to size.

    Then check refresh cadence against the churn numbers above; a weekly scan under a 44 per cent per-run change rate is mostly noise. For the wider tool landscape beyond dashboards, see the best LLM monitoring tools and the best AI brand monitoring tools.

    The takeaway

    The measurement is the argument: identical prompts change their top recommendation 28 to 44 per cent of the time within a single engine, engines agree with each other as little as 20 per cent of the time, and their citation diets range from a 445-domain long tail to Reddit-heavy concentration. A tracking dashboard is how that noise becomes a decision. Entry costs run $29 to $295 a month with verified coverage in the table above. Start with the free option: run a free AI visibility check and see what Gemini is already saying about your brand.

    Frequently asked questions

    What is an AI model tracking dashboard?

    A dashboard that runs a fixed set of prompts through AI engines such as ChatGPT, Gemini, Claude and Perplexity on a schedule, then tracks which brands each engine recommends, which sources it cites and how both change over time. It replaces manual spot checks, which are unreliable because the same prompt changes its top recommendation 28 to 44 per cent of the time between identical runs in our July 2026 measurement.

    How often do AI answers actually change?

    In our 13 July 2026 measurement of 20 buyer prompts run three times per engine, the number-one recommended brand changed between consecutive identical runs 44 per cent of the time on Gemini, 43 per cent on Perplexity, 35 per cent on ChatGPT and 28 per cent on Claude. Earlier SparkToro research points the same way, finding less than a 1-in-100 chance that two runs of the same prompt return the same list of brands.

    Do all AI tracking dashboards cover the same models?

    No, and entry tiers differ most. Otterly covers four surfaces at $29, LLM Pulse and Sight cover five, Dageno lists nine at $49 without naming them, Peec lets you choose three of six, and Honeyb prices coverage directly from 1 model at $29 to all 8 at $199. Since engines agreed on the top recommendation as little as 20 per cent of the time in our measurement, single-engine coverage leaves most of the picture dark.

    How much does an AI model tracking dashboard cost?

    Entry tiers run from $29 to $295 a month across the tools with public pricing, in US dollars as shown to a US visitor. Most sit between $29 and $99. Watch the billing basis, since Writesonic's page opens on an annual-billed rate and Profound publishes no price at all, and watch the meter, since prompt counts, credits and response volumes are not interchangeable. Our AI brand monitoring cost guide normalises the market to cost per tracked prompt.

    Can I track AI models with a spreadsheet instead of a tool?

    You can record manual checks in a spreadsheet, but the volatility defeats it. With top recommendations changing 28 to 44 per cent of the time between identical runs, distinguishing a real shift from noise needs repeated daily sampling across several engines, which is hundreds of prompt runs a month. The cheapest dashboards automate that from $29 a month, less than the time a manual routine costs.

    Matiss Katanenko

    About the author

    Matiss Katanenko

    Co-founder, Honeyb

    My name is Matiss Katanenko and I co-founded Honeyb, the AI visibility platform that tracks how ChatGPT, Gemini, Claude, Perplexity and the other major AI engines talk about brands. Before Honeyb I ran SEO for fast-growing companies across the US and Europe, including one of America's 500 fastest-growing companies. The numbers I am proudest of: taking a site from zero to 200,000 monthly visitors in five months, and over $10M in client revenue attributed to organic search. I still run experiments across ten-plus of my own domains to test what actually works in SEO, programmatic SEO and AI search, and those experiments are what this blog reports on. My focus today is AI search visibility: how brands get retrieved, ranked and referenced by LLMs. I'm based in Riga, Latvia. In my free time I'm in the sauna, on a padel court, or behind a drum kit.

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