AEOeye vs LLMrefs: Free Instant Audit vs Keyword Rank Tracking

AEOeye and LLMrefs solve the same problem from opposite ends.

AEOeye is built around a single question: right now, do the AI engines real buyers use recommend your brand? You enter a brand or site, and it blind-queries ChatGPT, Perplexity, Google AI, Claude, and Gemini with the kind of questions buyers actually ask — then shows you the real answers, whether you were recommended, where you ranked, and which competitors won. No keyword list to build, no dashboard to configure. The output is the AI's own words, per engine.

LLMrefs is built around keywords. You configure the keywords and topics you care about, and it tracks how often your brand is mentioned or cited across 11+ engines, rolling the results into a proprietary visibility score and share-of-voice metrics over time. It's a rank tracker reimagined for AI search — closer in spirit to the SEO tools agencies already live in.

Neither approach is wrong. AEOeye answers "where do I stand today?" in one sitting. LLMrefs answers "how is my keyword visibility trending across engines?" over weeks and months.

This is where the gap is widest, and it cuts in AEOeye's favor for getting started.

AEOeye is free to start and instant — you see real per-engine answers before paying anything, with no keyword cap and no sales call. Its deeper multi-engine querying activates with usage, so the more you run, the richer the picture gets.

LLMrefs offers a free plan that effectively tracks a single keyword (publicly described alongside a 7-day trial), which makes it a way to test the interface rather than a usable free tier. Real depth lives in the single "All in One" Pro plan at $79/mo — 50 keywords and 500 prompts, with unlimited projects and team members. That $79 price is publicly labeled "limited time only," so treat it as promotional rather than a guaranteed permanent rate.

To be fair to LLMrefs: $79/mo for broad keyword tracking across 11+ engines is genuinely inexpensive compared with most enterprise AI-visibility platforms. The trade-off is that you commit and configure keywords before you see prompt-by-prompt depth, whereas AEOeye shows you real answers first, for free.

We won't pretend AEOeye wins everything. LLMrefs has real advantages, and if these match your needs it may be the better fit.

• Engine breadth. LLMrefs covers 11+ engines — ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek. That's broader than AEOeye's core five.
• Historical dashboards and trends. It's built for ongoing tracking, with a visibility score, share-of-voice trends, and competitor benchmarking over time. AEOeye is newer and lighter on long-horizon historical analytics.
• Geo and language targeting. LLMrefs offers geo-targeting across 20+ countries and 10+ languages — useful for international or multi-market brands.
• Keyword-native workflow. If your team already thinks in keywords and topics, LLMrefs slots into existing SEO reporting cleanly, including CSV exports and team collaboration.

If you need continuous, broad, keyword-level rank tracking with trend history across many engines and regions, that's LLMrefs' home turf.

AEOeye's edge is speed, honesty, and prompt-level transparency for non-experts.

• Free and instant. You get real per-engine answers in minutes, with no keyword setup, no 1-keyword cap, and no $79/mo commitment to see whether AI actually recommends you today.
• You see the actual answers. AEOeye shows the AI's real response per engine — not just an aggregated share-of-voice score. You can read exactly what ChatGPT or Perplexity said and which competitor it named.
• Blind multi-engine querying. It asks buyer-style questions across engines the way a real customer would, rather than tracking pre-chosen keywords, so you catch recommendations you didn't think to query.
• No learning curve. A founder or marketer with no SEO background can run an audit and understand the result. No keyword strategy required first.

This directly addresses a common critique of keyword-first tools: independent reviewers note that keyword-level "share of voice" can make it hard to diagnose why you appear or which content won a citation. AEOeye's prompt-level answers make that visible from the first run.

Freshness is worth scrutinizing on both sides.

LLMrefs updates each keyword in the dashboard at least once per week, with daily refreshes available on Pro. Some independent reviews push back here: GenerateMore scored its data freshness 2/5 and noted the cadence can feel slow for fast-moving categories, and reviewers report that citation parsers can break for a period when OpenAI, Anthropic, or Google change response formats. The same review rated data accuracy 2/5, tied largely to the keyword-level aggregation rather than prompt-level visibility — the most actionable detail (like the Sources tab) can be buried in a simplified UX. None of this makes LLMrefs unusable; it reflects the inherent difficulty of parsing a moving target.

AEOeye sidesteps part of this by surfacing the raw per-engine answer on demand: you run an audit and read what the engine said now, rather than waiting on a scheduled refresh of an aggregate score. The honest trade-off is the flip side of being newer — AEOeye is lighter on the long historical dashboards and enterprise analytics LLMrefs has built out, and its deepest multi-engine querying activates as you use it more.

A simple decision guide:

Start with AEOeye if you want to know — today, for free — whether ChatGPT, Perplexity, Google AI, Claude, and Gemini recommend your brand, and you'd rather read the real answers than configure keywords first. It's ideal for founders, small teams, and anyone validating their AI visibility before committing budget. There's no contract and no setup, so there's little reason not to run it first.

Choose LLMrefs if you're an SEO professional, agency, or growth team that already works in keywords and topics, needs ongoing rank tracking across 11+ engines, wants historical trend dashboards and share-of-voice scoring, and values geo/language targeting at an approachable $79/mo (noting the price is flagged as promotional).

Use both if it fits your workflow: run AEOeye for a fast, honest, prompt-level snapshot and competitor read, then layer LLMrefs on top for continuous keyword-level monitoring. They complement each other more than they overlap — one tells you where you stand right now, the other tracks how it moves.