Best LLM visibility trackers

LLM visibility tracking is the broad version of the AI-answer-tracking category: tools that check whether and how a brand is named across large language models in general, not tied to one specific engine or one specific optimization discipline. Some of these are dedicated trackers, some are modules inside a larger platform, and they differ mostly in how many models they cover, how the data gets reported, and whether anything is attached to the measurement beyond a chart. This list covers the ones that explicitly describe themselves as tracking brand visibility across multiple LLMs, plus MarketHQ, which checks six models every week and ties the result to the evidence already in its feed.

What counts as an LLM visibility tracker?

Any tool that checks whether and how a brand is named across large language models and reports the pattern back, regardless of how many models it covers.

The category is defined more by what it measures than how it is sold. Dedicated products like Profound, AthenaHQ, Evertune, Promptwatch, LLMrefs and Waikay exist only to run this measurement. BrightEdge AI Catalyst is the same measurement sold as a module inside a much larger enterprise SEO platform.

MarketHQ sits apart because the measurement is only one input to a larger product: the same weekly LLM check feeds a gap analysis built from the mentions and evidence in its feed, rather than being the entire product on its own.

That difference matters when comparing price, since a $29-a-month plan that only reports a score is not doing the same job as a $29-a-month plan that also explains why the score looks the way it does, even if both fit the same category label.

How many models does each tool actually track?

From four at Promptwatch and Waikay to eleven at AthenaHQ and Evertune.

AthenaHQ and Evertune both list 11 models, the widest coverage in this list. LLMrefs tracks ten. MarketHQ, Profound's Enterprise tier and BrightEdge AI Catalyst sit in the middle, covering five to nine depending on plan. Promptwatch and Waikay track four core models each.

Coverage breadth correlates with price more than with anything else on this list: the cheapest four-model trackers, Promptwatch Essential and Waikay Small Teams, cost under $100 a month, while the broadest ones, AthenaHQ Starter and Evertune Pro, cost $295 and $800 respectively.

• Four models: Promptwatch, Waikay.
• Five to nine: MarketHQ, BrightEdge AI Catalyst, Profound (Enterprise plan).
• Ten-plus: LLMrefs, AthenaHQ, Evertune.

What does LLM visibility tracking cost?

From free at AthenaHQ's Essential tier to $800 a month at Evertune's Pro plan.

AthenaHQ's Essential tier is free with 300 credits, the cheapest way into the category. MarketHQ Lite at $29 a month and Waikay's limited-time early-adopter offer at $24.95 both sit under $70 a month. Promptwatch Essential is $95 a month.

Above that, AthenaHQ Starter is $295, LLMrefs is $79 a month listed as a limited-time price, and Evertune Pro is $800. Profound's Enterprise plan and BrightEdge AI Catalyst publish no self-serve price and route to a demo.

Does breadth of model coverage actually matter for a small brand?

Less than it sounds, unless your buyers actually use the extra models.

Tracking 11 models sounds thorough, but a small brand's buyers are more likely asking ChatGPT, Perplexity or Gemini than a long tail of smaller models. Paying a premium for coverage of models a brand's buyers never use can spend a marketing budget on a number that only looks impressive in a deck.

The more useful question is whether a tool tracks the models that matter for a specific audience, and whether it does anything with a gap once it finds one. MarketHQ checks six widely used models rather than chasing a higher number, on the view that six checked well beats eleven checked thinly.

A practical test before buying coverage of eleven models: ask how many of a brand's actual support tickets, sales calls or sign-up forms have ever mentioned an AI assistant by name, and which one. That list is almost always shorter than the vendor's marketing page, and it is the list that should drive the purchase.

Which of these also explain why a gap exists?

MarketHQ ties a visibility gap to the evidence in its feed and writes an action plan; the other vendors here describe measurement, citations or content recommendations.

AthenaHQ lists content-optimization recommendations and Promptwatch a Content Agent that drafts copy from citation data, which are content-side fixes. Waikay lists AIO Action Plans and BrightEdge lists AI Recommendations. Evertune, LLMrefs and Profound describe measurement and benchmarking.

MarketHQ's gap analysis draws on the same mentions feed that tracks news, blogs, forums and social sources, so a visibility miss comes with evidence attached, not just a number to interpret alone, and an action plan naming what to try first.

That is a genuine trade-off, not a free advantage: MarketHQ's explanation is only as good as the mentions already in its feed, and a brand with almost no public discussion anywhere will get a thinner explanation than one with an active community behind it.

How do you compare two LLM trackers fairly?

Give both the same short list of questions and the same competitors, then compare what each reports for the same week.

Differences in prompt wording, location and engine settings change results, so a fair comparison fixes all of them. Use ten questions, the same three competitors, and the same week. Count how many questions each tool answers, which engines it includes at your price, and whether it shows the answer text behind each result.

Then ask what happens after a gap is found. Some tools stop at a score, some recommend content changes, and MarketHQ writes a gap analysis and action plan from the evidence in its feed. The right choice depends on whether your bottleneck is measuring or acting.

How would a team actually use an eleven-model tracker?

Usually by ignoring most of the models. The scenario below is illustrative, not measured.

Illustrative: a consumer brand buys AthenaHQ Starter for its 11-model coverage, expecting a complete picture of how AI describes it across the board. Three months in, the team finds that nine of the eleven models never mention the brand or its category at all.

The two models that actually matter, ChatGPT and Google AI Overviews, were already covered by a cheaper four-model tool the team had tried first. The eleven-model subscription bought reassurance more than it bought new information, which is the pattern worth checking for before paying a premium for breadth that a brand's buyers may never touch.

Checking which models a brand's buyers actually use before buying breadth, and spending on the engines that matter, avoids that outcome.

Frequently asked questions

Related

• Best GEO tools — the citation-tracking category LLM visibility sits inside
• Best ChatGPT brand tracking tools — the single most-tracked model, compared on its own
• Best Perplexity tracking tools — a citation-specific slice of this category
• LLM mention checker — a free one-off check before paying for a tracker
• All category guides — every list we verified the same way
• Pricing — what MarketHQ's four tiers cost

Sources

• Profound home page: https://www.tryprofound.com (verified 2026-10-08)
• Profound pricing: https://www.tryprofound.com/pricing (verified 2026-10-08)
• AthenaHQ pricing: https://athenahq.ai/pricing (verified 2026-10-08)
• Evertune pricing: https://www.evertune.ai/pricing (verified 2026-10-08)
• Promptwatch home page: https://promptwatch.com (verified 2026-10-08)
• Promptwatch pricing: https://promptwatch.com/pricing (verified 2026-10-08)
• LLMrefs home page: https://llmrefs.com (verified 2026-10-08)
• Waikay home page: https://waikay.io (verified 2026-10-08)
• BrightEdge AI Catalyst: https://www.brightedge.com/ai-catalyst (verified 2026-10-08)