Try LLMrefs
Overview
LLMrefs does one thing and prices it so that people who are not enterprises can afford it. You tell it which prompts matter in your category, and it tells you whether the AI engines mention you, where you sit relative to competitors, and how that changes over time. It is rank tracking for the answer-engine era, and the mental model transfers directly from traditional SEO tools.
That familiarity is a real advantage. GEO is new enough that plenty of platforms are still explaining their own concepts to buyers; LLMrefs skips that by mapping onto a workflow marketers already run. You add prompts the way you added keywords, you watch positions the way you watched rankings, and the reporting looks like reporting you already know how to read.
It is deliberately narrower than Profound or Goodie. There is no source page attribution telling you exactly which content engines cite, and no content generation. For an independent publisher, a consultant or a small SaaS company, the honest question is whether the deeper analysis would change what you do — and frequently the answer is no, because the response to being absent from AI answers is to write better content either way.
Key Features
Prompt-Level Rank Tracking
Track specific prompts rather than keywords, which is the correct unit of measurement for answer engines.
Visibility Over Time
Trend data showing whether your presence in AI answers is improving, which is what makes the measurement worth taking.
Competitor Comparison
See which competitors get cited on the prompts you care about, and how consistently.
Multi-Engine Coverage
Tracks across the major AI answer engines rather than a single platform.
Self-Serve Onboarding
Sign up and start tracking without a sales call, which is not a given in this category.
Straightforward Reporting
Reports a marketer can read and share without a training session.
Pros & Cons
Advantages
- Genuinely accessible pricing in a category dominated by enterprise deals
- Familiar rank-tracking mental model — no new concepts to learn
- Self-serve rather than sales-gated
- Covers the core question most small teams actually have
- Trend data over time rather than a one-off audit
Disadvantages
- No source page attribution — you learn that you are absent, not why
- No optimisation or content tooling
- Smaller vendor with less certain longevity
- Shallow analysis compared with enterprise platforms
Pricing Plans
| Plan | Price | Key Features |
|---|---|---|
| Starter | Subscription | Prompt tracking for a single brand |
| Pro | Subscription | More prompts, competitors and engines |
| Agency | Subscription | Multiple client brands under one account |
Best Use Cases
LLMrefs Excels At:
- Independent publishers and small SaaS companies
- Consultants and agencies tracking client visibility affordably
- Answering whether AI engines mention you at all
- Measuring whether content changes moved the needle
May Not Be Ideal For:
- Enterprises needing deep competitive and attribution analysis
- Teams that want the tool to help produce content
- Anyone needing source page attribution to direct their content work
How It Compares
LLMrefs vs Profound
Profound is a far deeper platform at enterprise pricing; LLMrefs answers the basic visibility question at a price independents can pay. The gap in capability is real, and so is the gap in cost — pick based on whether you could act on the extra depth.
LLMrefs vs checking manually
Plenty of people ask ChatGPT about their own brand occasionally and call it research. That is not measurement: answers vary by session, phrasing and time. Systematic tracking across prompts and engines is the difference between an anecdote and a trend.
Final Verdict
Our Recommendation
LLMrefs is the sensible entry point into AI search visibility for anyone who is not an enterprise. It answers the question that actually matters first — are the engines mentioning us, and is that improving — using a mental model marketers already have, at a price that does not require a business case. It will not tell you which source pages engines cite, and it will not write anything for you. For an independent publisher or a small SaaS company, that is usually fine, because the response to poor AI visibility is better content regardless of how precisely the problem was diagnosed.