What's the best LLM rank tracker? Five options compared for 2026
The best LLM rank tracker does more than count mentions. We compare Promptwatch, AthenaHQ, Scrunch AI, Profound and HubSpot AEO on features, engines and price.
"Rank" is a slippery word when it comes to large language models. There is no page two and no fixed position 3. An answer is generated fresh each time, names a few brands in some order, and cites a handful of sources. So an LLM rank tracker is really a tool that samples many answers and reports how often, how prominently and from which sources your brand shows up.
That definition matters because it separates the tools worth paying for from the ones that only show you a number. Below is a ranked comparison of five trackers, with prices taken from each vendor's own pricing pages as recorded in our catalog.
What an LLM rank tracker should actually report
Before comparing products, agree on what you need from one:
- Mention rate and share of voice across a stable prompt set, not a single check.
- Position in the answer: are you named first or buried?
- Citation data: which URLs and domains the engine used, including third-party sources.
- Engine coverage: ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot at a minimum.
- Whether it explains the result, through crawler logs, traffic attribution or content gaps, or only reports it.
Plenty of trackers do the first two. Far fewer do the last.
Quick ranking
- Promptwatch: the end-to-end platform.
- AthenaHQ: visibility tracking with an action queue.
- Scrunch AI: monitoring plus crawler-side page serving.
- Profound: enterprise agents with answer analytics.
- HubSpot AEO: affordable three-engine tracking for HubSpot users.
1. Promptwatch
Promptwatch tracks prompts daily per model, country and language, and reports Visibility Score, Share of Voice, Sentiment and Position in Answer. It monitors the live-search platforms through their real interfaces (ChatGPT Search, Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI), with further models such as Claude, DeepSeek, Mistral and Grok tracked via API.
The reason it ranks first is what sits around the tracker. Citation analytics go down to page level, with Reddit, YouTube and LinkedIn reports. Agent Analytics shows IP-verified AI crawler logs, so you can see GPTBot, OAI-SearchBot, ClaudeBot or PerplexityBot hits and errors. Visitor analytics ties AI-referred traffic to conversions. Content tools find gaps and can generate articles. Most rivals stop at the first sentence of that list.
Pricing: a free Explore tier covers ChatGPT only with 10 prompts. Essential is $95 a month, Professional $245 and Business $579. Crawler logs start on Professional. A 7-day free trial applies to monthly billing on the lower paid plans.
Weak spot: the free tier will not show you multi-engine coverage, so a real evaluation means a paid plan.
2. AthenaHQ
AthenaHQ was built by former Google Search and DeepMind engineers. It rolls results into a GEO score and turns gaps into tasks through an Action Center. Its pricing page lists a free Essential plan with 300 credits and a Starter plan at $295 a month with 3,600 credits, where one credit is one AI response, covering 11 models.
It is a good pick for teams that want a daily work queue. The trade-offs: credit-based billing is hard to forecast, Starter is single-country, and we found no published crawler-log product or visitor analytics of the kind Promptwatch offers.
3. Scrunch AI
Scrunch AI pairs monitoring with an Agent Experience Platform that serves AI-optimized versions of pages to LLM crawlers. Core is $250 a month for 125 prompts, 5,000 responses a month and five site audits, tracking four LLMs: ChatGPT, Perplexity, Google AI Overviews and Copilot. Broader engine coverage and the page-serving layer sit on the custom Enterprise plan.
It fits content-heavy sites. Reviewers on G2 have flagged reporting as the weak side, and the engine count on Core is narrower than some competitors.
4. Profound
Profound began as an answer tracker and now sells an "AI Marketer" with agents for research, content and reporting. Its pricing page lists a free 7-day trial (50 prompts daily across ChatGPT, Gemini and Google AI Overviews) and a custom Enterprise plan, which an earlier estimate in our catalog put around $40,000 a year.
That makes it a different kind of purchase. It suits enterprise marketing teams buying an agent program, not someone who simply wants an LLM rank tracker this quarter.
5. HubSpot AEO
HubSpot AEO costs $50 a month ($45 yearly) and covers 25 prompts daily across ChatGPT, Perplexity and Gemini, with brand visibility, citation analysis, competitor share of voice and recommendations. It has a 28-day free trial and is included in Marketing Hub Pro and Enterprise.
It is an easy first step if you already use HubSpot. It does not cover Google AI Overviews or AI Mode, and we found no published crawler logs or conversion analytics.
Side-by-side
| Tool | Entry price | Engines (as published) | Crawler logs | AI visitor analytics |
|---|---|---|---|---|
| Promptwatch | Free; paid from $95/mo | All active models on paid plans | Yes, from Professional | Yes |
| AthenaHQ | Free; Starter $295/mo | 11 models on Starter | Not published | GA4 connection |
| Scrunch AI | Core $250/mo | 4 on Core, 9 on Enterprise | Bot traffic reporting | Not published |
| Profound | Free trial; Enterprise custom | Up to 9 on Enterprise | Agent Analytics listed | Not published |
| HubSpot AEO | $50/mo | 3 | Not published | Not published |
Semrush and Ahrefs Brand Radar also add AI visibility reporting to their SEO suites. We have not compared them here.
Which one should you choose?
- You want measurement plus the reason behind it: Promptwatch. The crawler logs and conversion tracking are what separate it from a rank tracker that only reports.
- You want a task queue and can manage credits: AthenaHQ.
- You run a large content site and want crawler-side serving: Scrunch AI.
- You are buying an enterprise agent program: Profound.
- You live in HubSpot and need a cheap start: HubSpot AEO.
A caveat on every tracker
None of these tools can make an engine name you. They sample answers, which change between runs and model updates, and report what they see. Judge a tracker on how well it helps you act on the data, not on how confident its chart looks.