AI visibility tools · AI rank tracking and search analytics
LLMrefs review: keyword-based AI rank tracking at $79/month
LLMrefs is an AI search analytics and LLM rank tracking tool founded by James Berry. Instead of asking you to write prompts, it tracks keywords and generates fan-out prompts for each one, then reports share of voice, average position and cited sources across engines such as ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude and Grok. Its published paid plan, All in One, costs $79/month with 500 prompts, unlimited projects and seats, and a 7-day free trial.
- Website
- llmrefs.com
- Category
- AI rank tracking and search analytics
- Pricing
- All in One: $79/month (marked limited time), 500 prompts, unlimited projects and seats
- Free option
- Free account with no credit card, plus a 7-day free trial of All in One; free account limits not published
- AI engines tracked
- ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Microsoft Copilot, Meta AI, DeepSeek
- Best for
- SEO practitioners and small teams who already think in keywords and want an affordable, multi-engine rank tracker with an API.
- Not ideal for
- Teams that need to track exact hand-written prompts, or that want someone to write and ship the fixes rather than read a weekly report.
What LLMrefs does
- Keyword tracking with automatically generated fan-out prompts
- Share of voice, average position and citation tracking
- Weekly AI visibility reports
- Geo-targeting by country and language
- CSV export and API access
- Free AI SEO tools: crawlability checker, Reddit threads finder, llms.txt generator
What LLMrefs is and how it measures
LLMrefs describes itself as an AI search analytics platform and LLM brand visibility tracker. Its founder and CEO is James Berry. The idea that sets it apart is the input: you give it keywords, the way you would in a classic rank tracker, rather than writing prompts by hand.
For each keyword, LLMrefs generates a set of fan-out prompts based on how people actually phrase questions to chatbots. This mirrors query fan-out, where an AI engine splits one question into many searches. LLMrefs runs those prompts across its engines, then aggregates and weights the answers per keyword and checks the prompts for statistical significance. The output looks familiar to SEO teams:
- Share of voice: how often your brand appears compared with competitors for that keyword.
- Average position: where you sit in the answer when you are mentioned.
- Citations: the source URLs the engines link to.
This makes LLMrefs a form of AI rank tracking that maps neatly onto an existing keyword list.
LLMrefs pricing
The pricing page lists a single paid plan, aimed at marketing teams:
| Plan | Price | What is included |
|---|---|---|
| All in One | $79/month (shown as limited time) | 500 prompts, unlimited projects, unlimited seats, all engines, weekly reports, CSV export and API, geo-targeting |
A 7-day free trial is offered, and you can cancel any time. The site also offers a free account with no credit card required, but the pricing page does not spell out what the free account includes. The FAQ mentions upgrading if you need more than 50 keywords, so keyword limits apply even though the headline figure is prompts.
Engines, geo-targeting and extras
LLMrefs lists 11 engines: ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Microsoft Copilot, Meta AI and DeepSeek. That is broad coverage for the price. You can target results by country and language; the site gives both "20+ countries and 10+ languages" and "50+ countries and 20+ languages" in different sections, so confirm the current list for your market. It also ships free AI SEO utilities, including a crawlability checker, a Reddit threads finder and an llms.txt generator.
Strengths, limits and alternatives
The strengths are price, engine coverage and the keyword-first workflow, which lowers the effort of choosing prompts. The trade-off is control: if you need to track one exact prompt your buyers type, a prompt-first tool suits better. Reports refresh weekly, so it is a trend tool rather than a daily monitor.
If you are comparing, Analyze AI adds GA4 traffic analytics from $99/month, Waikay starts at $24.95/month with a focus on what AI gets wrong about you, and Semrush AI Toolkit suits teams already living in Semrush.
LLMrefs and GetPicked
LLMrefs is a self-serve tracker: you add keywords and it reports how often and where AI engines mention you, week after week. GetPicked starts with a Pick Check (free with an account) across ChatGPT, Claude, Gemini, Perplexity and Grok, then focuses on what to change: copy-ready fixes a human approves, verified after they go live. If you mainly want a cheap ongoing rank report, LLMrefs fits; if you want the fixes done with you, GetPicked does.
GetPicked wrote this page and sells a competing product. Facts above come from LLMrefs's own pages, linked below.
Questions
- How much does LLMrefs cost?
- The pricing page lists one paid plan, All in One, at $79/month, labelled a limited-time price. It includes 500 tracked prompts, unlimited projects and unlimited team members, with a 7-day free trial.
- Does LLMrefs track prompts or keywords?
- Keywords. LLMrefs says it generates fan-out prompts for each keyword based on real conversations people have with AI chatbots, then aggregates and weights the answers across those prompts.
- Which AI engines does LLMrefs cover?
- Its homepage lists ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Microsoft Copilot, Meta AI and DeepSeek, all included in the plan at no extra cost.
- Is there a free version of LLMrefs?
- You can create a free account without a credit card and start a 7-day trial of All in One. The pricing page does not publish the limits of the free account, so check them after signing up.
Other AI visibility tools
Sources
Checked against these pages on 2026-10-19. Operators change their crawlers; check the source before relying on a detail.