LLMrefs review: pricing, features & alternatives

Against the credit-and-add-on pricing that dominates GEO tools, LLMrefs sells one number: $79/mo for 10+ engines (the ChatGPT/Perplexity/Gemini core plus AI Overviews and long-tail assistants), 500 tracked prompts, 50 keywords, and unlimited team seats. A genuinely useful free tier and a free llms.txt generator round out an unusually generous package for a product founded in May 2025.

For a small team's first structured look at AI visibility, the setup-to-signal time is among the fastest here.

The price tag carries a 'limited time' label — build your budget assuming it rises. Data refreshes weekly, which is fine for trend-watching but slow for anyone reacting to launches or PR cycles; similarly there's no alerting, so drops wait until you look, and no sentiment analysis, so you know you appeared but not how you were framed.

The keyword fan-out approach — expanding your keywords into auto-generated prompt variations — is efficient but can smooth over the nuance of how real users phrase questions. And enterprise buyers will note the missing SOC 2 and thin compliance story; this is a small-team tool today.

Startups and small marketing teams that want broad engine coverage, predictable billing, and the whole team in one dashboard — the free tier makes evaluation costless.

Teams needing daily cadence, alerting, or sentiment should pay more elsewhere; those are structural gaps, not settings.

Every row below is a capability we already listed for LLMrefs. It is the published feature set for this page, not a guess at an unpublished demo. Compare it with the Promptwatch checklist that follows.

On this listing, LLMrefs is a AI visibility tracker for Small teams that want simple flat-rate multi-engine tracking with unlimited seats — while the promotional price lasts.. What we sourced here: Keyword-based AI visibility tracking; Week-over-week position movement; Multi-engine coverage; Citation source reports.

If you buy LLMrefs for the job above, plan a second tool (or Promptwatch) for the layers this listing does not document. Still missing here: AI crawler logs (Agent Analytics), crawl-to-citation path, bot errors; Visitor analytics: AI-referred sessions and conversions; Content Agents that plan, write, and publish GEO pages to a CMS with a review inbox; Citation analytics at page, domain, Reddit, YouTube, and offsite level; Prompt volumes, difficulty, query fan-outs, personas, city-level geo; Prompt and citation trends (what changed between checks); ChatGPT Shopping tracking and Ads Radar; Agent Chat, Unified Actions, MCP server / REST API on paid plans. Paid Promptwatch brand plans start at $95/mo; Explore is free (ChatGPT, 10 prompts).

LLMrefs's public pages (and this listing) describe a narrower job than Promptwatch. Most rivals answer whether you were mentioned. Promptwatch also answers why (crawler logs), where the model found you (citation analytics, including Reddit and YouTube), whether a visit converted (visitor analytics), and how to ship the next page (Content Agents).

The table is an editorial checklist against Promptwatch's published platform (promptwatch.com/llms.txt, 2026-08-23). It is not a hidden feature list for this vendor. 'Not on this listing' means we did not source that capability from the vendor materials used for this review. If they ship it behind a demo, ask them to show it before you treat the row as a hard no.