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LLMRefs Pricing: What Does the $79/Month Plan Offer?

LLMrefs sells one main plan, All in One, at $79 a month, which its pricing page marks as a limited-time price. It comes with a seven-day free trial. The plan tracks 500 prompts across all the AI engines LLMrefs supports, with no engine add-ons, refreshed weekly. Those engines include ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI and DeepSeek. The plan also includes citation tracking, prompt volume estimates, geo-targeting in more than 50 countries, unlimited projects and seats, and CSV and API access. The twist is that you track keywords, and LLMrefs expands each one into many prompts. That makes it quick to set up for SEO teams, but it changes how far 500 prompts go.

What does the $79 plan include?

As listed on LLMrefs' pricing page:

  • 500 prompts tracked for brand mentions, sources and fan-out queries.
  • All supported AI engines at no extra cost. LLMrefs lists ChatGPT (GPT-5), ChatGPT Search, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI and DeepSeek.
  • Weekly AI visibility reports, refreshed automatically.
  • Citation tracking, with the full set of source URLs cited for your topics.
  • Geo-targeting in more than 50 countries and 20 languages.
  • Unlimited team members and unlimited projects, so one subscription covers all your domains or clients.
  • Monthly prompt volume estimates for your topics.
  • CSV export and API access.
  • Extra tools, including an AI crawlability checker and an llms.txt generator.
  • A free account to start, and a seven-day trial of the paid plan.

How does keyword-based tracking work?

Most AI trackers ask you to write prompts. LLMrefs asks for keywords, the same lists an SEO team already has. For each keyword, it generates a set of conversational prompts, which it says are based on real conversations people have with AI chatbots. It also tracks the fan-out queries engines run behind the scenes. Results are then aggregated and weighted across all prompts for that keyword. LLMrefs says this is done to reach statistically significant brand rankings.

The advantages are speed and statistical sense. You can import a keyword list and see results within minutes, and averaging many prompts per keyword is more robust than relying on one phrasing. The trade-off is control. You see results for a keyword, built from prompts LLMrefs generated, rather than for the exact questions your sales team hears. For tightly defined B2B questions, check whether the generated prompts match how your buyers actually ask. Why fixed and generated prompts each have a place is covered in whether AI visibility tools monitor fixed prompts or generate them.

How far do 500 prompts go?

It depends on how many prompts each keyword expands into. In the example on LLMrefs' site, a single keyword shows 25 prompts. At that rate, 500 prompts cover about 20 keywords. If your keywords expand into fewer prompts, you can track more. So think in keywords when budgeting:

  • 20 core keywords at about 25 prompts each fits the plan.
  • 100 keywords would need either fewer prompts per keyword or a larger arrangement.

Weekly refresh keeps costs down. Across many engines, 500 prompts a week still produce a large volume of answers each month. That is why the price per answer is low compared with daily trackers. The cost is speed: weekly data shows direction, not the effect of a change within days.

How does $79 compare?

Tool Entry price Prompts Engines Frequency
LLMrefs All in One $79/mo 500 (generated from keywords) 10+ included Weekly
Otterly Lite $29/mo 15 4, more as add-ons Daily
HubSpot AEO $50/mo 25 3 Daily
Peec AI Starter $95/mo 50 3 chosen Daily
Semrush AI Visibility Toolkit $99/mo 25 5 Daily prompts; weekly Brand Performance

On breadth for the money, LLMrefs is hard to beat. It covers the most engines, includes Claude and Grok without add-ons, and offers unlimited projects. Daily trackers give more frequent data on fewer, hand-written prompts. Other pricing breakdowns are in Profound pricing, PromptWatch pricing and HubSpot AEO pricing.

What are the catches?

  • "Limited time" pricing. The $79 price is marked as limited time, so expect it to change. Lock in terms if you commit annually, or budget for a rise.
  • Weekly refresh. Too slow for testing the effect of a change within days.
  • Generated prompts. Less control over exact wording.
  • Collection method. LLMrefs lists model names such as GPT-5 alongside ChatGPT Search. Ask which engines are queried through consumer interfaces and which through APIs, since results can differ.
  • Claims. Its case study credits a beauty brand with the highest share of voice, 73%, for beauty dupe keywords. That is a vendor case study, not an independent result.

Who is it for?

  • Good fit: SEO teams and agencies that think in keywords and want broad engine coverage cheaply, with unlimited projects for many clients.
  • Good fit: brands wanting a wide, weekly view across many assistants, including Claude, Grok and DeepSeek.
  • Poor fit: teams that need daily data, or that track a small set of precise, hand-written buyer questions.

A comparison of its approach with an enterprise platform is in Profound vs LLMrefs.

What might an agency setup look like?

Consider an illustrative SEO agency with eight small clients. Because the plan allows unlimited projects, it set up one project per client under a single $79 subscription. It gave each client two or three core keywords, about 20 keywords in all, which used most of the 500 prompts. Weekly reports went into each client's monthly SEO report as a short AI visibility section: share of voice by engine, top cited sources, and one action. When a larger client asked for daily data on specific questions, the agency added a separate daily tracker for that client alone, rather than stretching the shared plan.

The pattern generalises. LLMrefs works well as a broad, low-cost baseline across many clients or domains. Precise, frequent tracking of a few questions is a different job, and can sit alongside it.

How should you split 500 prompts?

  • Put most prompts on non-branded category keywords, where discovery happens.
  • Reserve a few keywords for comparisons with named competitors.
  • Keep one or two branded keywords to catch factual errors.
  • Review quarterly, dropping keywords that never change and adding new product or service lines.

How should you use the trial?

  1. Import 15 to 20 core keywords from your SEO list.
  2. Open the generated prompts for each, and check that they sound like your customers.
  3. Run five of the prompts yourself in ChatGPT and Perplexity, and compare the brands and sources.
  4. Check the citation list for the keywords you lose, and note which sources to work on.
  5. Look at prompt volume estimates to decide which keywords deserve most effort.

What do people ask about LLMrefs pricing?

Is there a free plan?

You can sign up for a free account and set up a project. The paid All in One plan has a seven-day free trial.

Does the $79 plan charge extra for Claude or Grok?

No. LLMrefs says all AI search engines are included with no additional fees.

How many projects can I have?

Unlimited, with unlimited team members, under one subscription.

How often does data update?

Weekly, according to the plan description.

Published by The Kovmere Team · updated Sep 29, 2026 · More resources