LLMrefs
Flat-fee AI search analytics that tracks brand mentions across 11+ engines from ChatGPT to Gemini.
- Category
- AEO Tools
- Pricing
- One public plan called "All in One" at $79/month (introductory rate), including 500 tracked prompts, all supported AI engines, weekly reports, citation tracking, geo/language targeting, unlimited team seats and projects, CSV export and API access; a 7-day free trial is offered and extra prompt volume can be purchased as usage grows.
- Best for
- LLMrefs fits marketing teams, SEO/AEO specialists, or agencies who want to start tracking AI-engine visibility quickly, at a known monthly cost, without an enterprise procurement cycle — the flat $79/mo plan and self-serve trial make it easy to test before committing budget.
- Official site
- llmrefs.com
- Last updated
- August 2026
LLMrefs occupies an unusual position in the AEO tools category: nearly every serious competitor prices via "contact sales," while LLMrefs publishes a single flat rate of $79/month covering all tracked engines and 500 prompts. That's a meaningful structural difference from a platform like Profound, which is built and priced as an enterprise product with custom contracts and a heavier sales-assisted onboarding process aimed at large marketing orgs. LLMrefs instead behaves like a self-serve SaaS tool: sign up, start a 7-day trial, and get reporting without negotiating a deal. The tradeoff is that Profound's enterprise positioning generally comes with deeper account management, more bespoke reporting, and a sales team validating the fit for complex org structures — things a flat-rate, self-serve product like LLMrefs isn't set up to provide.
On raw feature coverage, LLMrefs tracks a genuinely wide set of engines (ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude, Copilot, Meta AI, Grok, DeepSeek) and adds auto-generated prompts drawn from real conversational search patterns rather than forcing users to hand-build keyword lists — a practical convenience for teams that don't already have a mature AEO prompt taxonomy. It also ships citation tracking (which sources AI engines actually cite) and share-of-voice competitor benchmarking, the same core mechanics that anchor most tools in this category.
What LLMrefs does not do is content execution. Unlike PageLens.ai, which pairs visibility tracking with actually writing and publishing citation-ready content back to the customer's own domain, LLMrefs stops at measurement and reporting. That makes it a narrower tool: good for finding out where a brand stands in AI answers, but it hands the "now what do we do about it" step back to the team, whether that means writing content, fixing technical crawlability, or building outreach for citations manually.
LLMrefs fits marketing teams, SEO/AEO specialists, or agencies who want to start tracking AI-engine visibility quickly, at a known monthly cost, without an enterprise procurement cycle — the flat $79/mo plan and self-serve trial make it easy to test before committing budget. It's a reasonable first AEO tracking tool for a mid-size brand or an agency running it across a handful of client accounts. Teams should skip it if they need enterprise-grade account support, custom reporting workflows, or very high prompt volumes across many product lines, in which case Profound or Scrunch AI are built more specifically for that scale; and teams that want the tool to also produce and publish optimized content (not just report on gaps) should look at PageLens.ai instead.
Key features
Multi-engine prompt tracking
Monitors up to 500 prompts per month across 11+ AI search and chat engines in one plan, rather than charging separately per engine as some competitors do.
Auto-generated prompt discovery
Generates candidate prompts based on patterns from real user conversations with chatbots, reducing the manual work of building a keyword/prompt list from scratch.
Citation and source tracking
Identifies which web sources AI engines are actually citing when they answer prompts related to a brand's category, useful for spotting which pages or domains AI models trust.
Competitor share-of-voice benchmarking
Compares a brand's presence and position in AI answers against named competitors to quantify relative visibility over time.
Geo and language targeting
Runs tracking across 50+ countries and 20+ languages, which matters for brands whose AI visibility varies by region or where AI answers are localized.
Weekly automated reporting
Delivers scheduled visibility reports rather than requiring users to manually pull dashboards, with monthly AI prompt volume estimates included.
CSV export and API access
Lets teams pull raw tracking data out of the platform for use in their own BI tools or client reporting decks.
Supplementary AEO utilities
Bundles smaller tools referenced on the pricing page — an AI crawlability checker, a Reddit threads finder, and an llms.txt generator — alongside the core tracking product.
Pricing breakdown
All in One
- 500 tracked prompts for brand mentions, sources, and fan-out queries
- Access to all supported AI engines (ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Copilot, Meta AI) with no per-engine fees
- Weekly automated AI visibility reports
- Citation tracking
- Geo-targeting across 50+ countries and 20+ languages
- Unlimited team members and projects
- CSV export and API access
- Priority support
- Access to supplementary AI SEO tools (crawlability checker, Reddit threads finder, llms.txt generator)
Pros and cons
Pros
- The single published $79/mo price removes the typical friction of this category, where most tools require a sales call before you even see a number — this lets a small team evaluate real cost before investing time in a trial.
- Bundling all AI engines into one plan avoids the per-engine pricing creep that can make broader AEO coverage expensive elsewhere, so a brand tracking presence across ChatGPT, Gemini, and Perplexity simultaneously isn't paying separate add-on fees for each.
- Auto-generated prompts based on real conversational patterns lower the setup barrier for teams new to AEO who don't yet have a mature sense of what questions their audience is actually asking AI engines.
- The named client list (eBay, HubSpot, Shopify, NVIDIA, Klarna, IKEA, L'Oréal, Ralph Lauren, Gymshark, Zoom, The Washington Post, Framer, Gusto) is a credible-looking roster for a product priced this low, suggesting it's being used by teams well beyond hobbyist scale.
- Unlimited team members and projects on a single plan is generous compared to seat-gated competitors, useful for agencies running multiple client accounts under one subscription.
Cons
- There is no lower-cost or free ongoing tier — only a 7-day trial — so a solo consultant or very small brand that just wants to check visibility occasionally has to commit to the same $79/mo as a larger team.
- 500 prompts per month sounds generous but can be consumed quickly by a brand with a wide product catalog, multiple markets, or many competitor comparisons, and the site notes extra prompt capacity is a paid add-on, so real costs can climb past the headline price.
- The company discloses very little about its own history, team, or funding on its about page, and the site surfaces only one detailed case study (Revolution Beauty); that's thinner public proof than more established players in this category.
- No independent review data (G2, Capterra, or similar) is visible, so prospective buyers can't cross-check LLMrefs' own claims against third-party user feedback the way they can for more established competitors.
- It is analytics-only: unlike tools that close the loop by generating or publishing optimized content, LLMrefs tells you where you're losing visibility but leaves the actual fix — content, technical SEO, digital PR for citations — entirely up to the customer.
- The pricing page frames $79/mo as a 'limited-time rate,' which implies it may rise, so the headline affordability that differentiates LLMrefs today isn't guaranteed to hold.
Alternatives to LLMrefs
Frequently asked questions
What AI engines does LLMrefs track?
LLMrefs tracks 11+ AI-powered search and chat engines, including OpenAI's ChatGPT and ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Anthropic Claude, Microsoft Copilot, Meta AI, xAI Grok, and DeepSeek.
How much does LLMrefs cost?
LLMrefs uses a single published plan, "All in One," at $79/month, which includes 500 tracked prompts, access to all supported engines, weekly reports, citation tracking, and API access. A 7-day free trial is available.
Does LLMrefs have a free plan?
No ongoing free tier is listed; LLMrefs offers a 7-day free trial of its $79/month plan rather than a permanent free plan.
Does LLMrefs create or publish content, or only track visibility?
LLMrefs is a tracking and reporting tool — it monitors mentions, citations, and share of voice but does not generate or publish content. Tools like PageLens.ai combine tracking with content generation and publishing for teams that want both in one product.
How is LLMrefs different from enterprise tools like Profound?
The main difference is go-to-market and pricing model: Profound is positioned as an enterprise platform with custom, sales-assisted pricing, while LLMrefs publishes a flat self-serve rate. Enterprise buyers needing dedicated account management may prefer Profound; teams wanting fast, transparent self-serve access may prefer LLMrefs.
What happens if a brand needs to track more than 500 prompts a month?
According to LLMrefs' pricing page, additional prompt volume beyond the base 500 can be purchased as usage increases, meaning actual monthly cost can exceed the $79 headline price for high-volume users.
Ready to try LLMrefs?
Head to the official site to explore pricing and start a free trial where available.
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