LLMrefs
LLMrefs · Marketing · Business
LLMrefs is an AI search analytics platform that tracks how often your brand shows up in answers from ChatGPT, Gemini, Perplexity, and other AI engines.
About LLMrefs
What Is LLMrefs
LLMrefs is a browser-based analytics tool and LLM SEO tracker built for the shift from ranked links to AI answers. Instead of tracking your position in a list of blue links, it measures whether generative engines mention your brand at all when someone asks a relevant question. The platform surveys major AI search engines like ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude, and Grok, then reports back on mentions, citations, and how you stack up against competitors.
The product is pitched at marketers, agencies, and SEO teams who already run keyword research and now need a way to see what happens in AI search. You import the keyword lists you care about, and LLMrefs turns each one into a set of realistic prompts. From there it tracks which sources the engines quote, where your brand ranks in the answers, and which content gaps you could fill.
The main limits are what you'd expect from an early-category tool. AI models are non-deterministic, so results are statistical estimates rather than fixed positions, and accuracy depends on how well the sample of prompts covers real conversations. The free entry point is a 7-day trial, and the paid plan is a single tier rather than a ladder of options, so small teams pay the same base rate as larger ones.
Getting Started
- Create a free account on the LLMrefs site, with no credit card required.
- Import a keyword list you already track, or start from LLMrefs' own keyword suggestions.
- Let the platform generate fan-out prompts from those keywords and pick the AI engines you want covered.
- Wait for the first visibility report, which aggregates mentions, share of voice, and cited sources per keyword.
- Filter the cited URLs for outreach ideas, and export the results as CSV or pull them through the API.
Product Information
A quick look at LLMrefs's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- In-house marketing teams
- SEO agencies
- Content strategists
Tasks
- Tracking AI visibility over time
- Benchmarking against competitors
- Finding content gaps
- Reporting to clients or executives
Scenarios
- Preparing a monthly performance review where AI search is one of several channels
- Pitching a new content plan
- Running a multi-brand account
Key features
Keyword tracking across AI engines
LLMrefs tracks keywords rather than individual prompts, then expands each one into the range of questions real users ask. That means you keep your existing keyword workflow instead of guessing which prompts to test. Coverage spans ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek.
Share of voice and position metrics
Instead of a vague visibility score, the platform ranks brands against each other using share of voice and position. Responses are aggregated and weighted across every prompt tied to a keyword, so a single odd answer doesn't move your number. The stated goal is statistical significance rather than a snapshot.
Citation tracking
You can see the full set of source URLs an AI engine cites when it answers a question about your product. Sorting that list tells you which pages shape the answers and where a placement or outreach effort might pay off. It doubles as a content-gap map for the topics you cover thinly.
Competitor benchmarking
Every keyword view shows your brand next to competitors on the same metrics. You see whether you appear, and whether someone else gets mentioned first, which matters for AI answers that name a small handful of options.
Auto-generated prompts and volume estimates
The tool builds fan-out prompts based on how people actually phrase questions to chatbots, then attaches monthly AI prompt volume estimates to your topics. That helps you decide which keywords deserve attention instead of treating all of them as equal.
Reports, exports, and API
Weekly visibility reports refresh on their own, and you can export clean CSV files in seconds or connect the API to push data into your own tools. Geo-targeting reaches 50+ countries and 20+ languages, and one subscription covers unlimited projects and team members.
Pros and cons
Pros
- Tracks keywords rather than forcing you to guess prompts, which fits how SEO teams already work.
- One flat subscription covers unlimited domains and seats, so agencies can scale clients without per-account fees.
- Citation data turns abstract visibility into a concrete list of sources to target.
- Access to every major AI engine with no add-on fees, plus geo-targeting across many countries and languages.
- CSV export and API access make it easy to fold results into existing reporting.
Cons
- Results are statistical estimates, because AI engines answer differently each time, so treat the numbers as trends rather than exact ranks.
- The free entry point is only a 7-day trial, so there's no permanent free tier for testing on a tight budget.
- There's a single paid plan, which means smaller teams pay for capacity they may not use.
- Coverage depends on how well the generated prompts match real user questions, so niche or technical keywords may get weaker signal.
Frequently asked questions
It measures brand visibility in AI search, or how visible your brand is inside AI-generated answers. That covers mentions, position relative to competitors, share of voice, and the sources the engines cite when discussing your keywords.
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