LLMrefs Free Plan Limits and Is the $79 Pro Plan Worth It?

LLMrefs' free account tracks 1 keyword, with limited models and prompts and a low-frequency refresh. No credit card is required to sign up, which is genuinely nice. But one keyword is enough to see what the dashboard looks like and confirm the tool detects your brand, not to do real work.

In practice, one keyword expands into a handful of auto-generated prompts across the AI engines, so you get a narrow slice: how you rank for a single query theme. If your business has more than one buying intent, more than one product line, or competitors who win on different searches, you'll hit the ceiling immediately.

The honest read from reviewers matches this. WordsAtScale's review puts it plainly: the free plan works for initial testing but isn't viable long-term. Treat it as a demo, not a tier you can live on. That's a reasonable design choice for a paid SaaS, just know going in that the free plan is a try-before-you-buy, not a usable free product.

There's effectively one paid tier (often labeled "All in One") at $79/mo, covering up to 50 keywords and 500 prompts tracked, with weekly dashboard updates, citation tracking across 50+ countries and 20+ languages, unlimited team members, unlimited projects, CSV export, and API access. A 7-day free trial is available.

Two caveats buyers should weigh. First, the price on LLMrefs' own pricing page is marked "Limited time only." That's a real flag: it signals the $79 rate is promotional, not a guaranteed permanent price, so budget with the possibility it rises. Second, the caps are fixed at this single tier. Fifty keywords and 500 prompts comfortably cover most small-to-mid businesses, and several reviewers agree it's adequate for typical needs. But if you're an agency juggling many clients or a brand with broad keyword coverage, reviewers note the depth can feel tight, and the refresh cadence (weekly rather than continuous) can feel slow when you want faster signal.

It's worth it when three things are true: you already know which keywords and queries matter to your buyers, you want ongoing tracking (not a one-time look), and 50 keywords / 500 prompts fits your footprint. For an in-house marketer or a lean agency tracking a defined set of brand and category terms across many AI engines weekly, that's a fair price for what's a focused, well-built tool.

It's a weaker fit if you're still in discovery, just trying to find out whether AI engines mention you at all, or if you need enterprise-grade historical dashboards and high keyword volume. In those cases you'd be paying $79/mo to configure keywords before you've confirmed there's a problem worth tracking.

The "limited time" label is reason to not over-anchor on $79 as your long-term cost. Start with the 7-day trial, load your real keywords, and decide based on what the dashboard tells you, not the headline price.

If your underlying question is "do ChatGPT, Perplexity, Claude, Gemini, and Google AI actually recommend my brand right now?", you can answer that before paying anyone. That's exactly what AEOeye does: a free, instant, zero-setup audit. No 1-keyword cap to configure, no $79/mo commitment up front, and no keyword setup before you see results, you get real per-engine answers showing whether each model recommends you, where you rank, and which competitors win.

The honest tradeoffs: AEOeye is newer and lighter on enterprise analytics and long-run historical dashboards than an established tracker like LLMrefs, and its deeper multi-engine querying activates with usage. LLMrefs is the more mature choice if your need is structured, recurring keyword tracking with CSV/API export and team workflows.

A sensible path: run AEOeye's free audit to confirm there's a visibility gap and see which engines and competitors matter, then decide whether LLMrefs' $79/mo prompt-by-prompt tracking is worth setting up. You diagnose for free, then pay only if ongoing tracking earns its keep.