The Best AI Visibility Tools in 2026 (Honestly Compared)

AI assistants now sit between buyers and brands. When someone asks ChatGPT for "the best project management tool" or asks Perplexity which CRM to pick, the answer they get shapes the shortlist — and you may never see the query. AI visibility tools exist to make that invisible layer measurable: which engines mention you, where you rank, who gets recommended instead, and which sources the models cite.
The category is crowded and moves fast, with pricing that ranges from free to $3,000+ a month. This guide explains what these tools actually do, how to choose one for your budget and team, and gives a fair rundown of the leading options — including where each is genuinely strong and where it isn't.
What AI visibility tools actually do
Every tool in this category does some version of the same core job: it sends real buyer-style questions to AI engines, reads the answers, and tells you how your brand shows up. The useful outputs fall into a few buckets.
Mention and ranking tracking — does the model name you at all, and in what position relative to competitors? Citation tracking — which web pages did the engine pull from to build its answer, so you know what content to influence. Share of voice and competitive benchmarking — how often you appear versus rivals across a set of prompts. Sentiment — whether the model describes you positively, neutrally or negatively. And increasingly, an action layer — prioritized recommendations or content fixes meant to improve your standing.
The important nuance is sampling. AI answers are non-deterministic: ask the same question twice and you can get different brands. Lightweight tools query once; serious analytics platforms query each prompt many times (Evertune samples roughly 100 times) to produce statistically stable numbers. More sampling means more confidence and more cost. Match the rigor to the decision you're making.
How to choose: budget, engines, team size, free vs enterprise
Four questions narrow the field fast.
Budget. Tools span from free (AEOeye, LLMrefs' 1-keyword plan) to ~$29–$99/mo entry tiers, $189–$495/mo mid-market, and $2,000–$3,000+/mo enterprise (Evertune, AthenaHQ Enterprise). Decide whether you need a quick read or an always-on program before you look at price.
Engines. Coverage varies a lot, and many cheaper plans gate it. Confirm the engines you care about — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot — are included, not paid add-ons. Otterly.ai, for example, charges extra for Gemini/AI Mode; Profound's $99 tier is ChatGPT-only.
Team size and use case. Agencies managing many clients need white-label, multiple brands and API (Trakkr Scale, Goodie Pro). A solo founder validating one product needs almost none of that.
Free vs enterprise. Free and trial tools answer "do I have a problem?" Enterprise platforms answer "how is the problem trending across markets, and what moved the needle?" Don't pay enterprise prices for the first question — and don't expect a free instant tool to replace a historical dashboard.
The free, instant option: AEOeye
AEOeye runs a free, instant AI visibility audit. It asks ChatGPT, Perplexity, Google AI, Claude and Gemini the questions real buyers ask, then shows whether each engine recommends your brand, roughly where you rank, and which competitors win the answer. There's no sales call, no contract, and no SEO expertise required — which is the gap most of this category leaves open, since nearly every alternative is trial- or demo-gated.
The honest framing: AEOeye is built to be the fastest way to find out if you have an AI visibility problem and who's beating you, across multiple engines, blind. Its deep multi-engine querying activates with usage. It is newer and intentionally lighter on enterprise-grade historical dashboards, large-sample statistical significance, and multi-country panels than incumbents like Profound, Evertune or AthenaHQ.
So the realistic path is: start with AEOeye to get an instant, no-risk baseline and a competitor read. If that surfaces a real gap and you need continuous tracking with deep analytics, layer in or graduate to a paid platform below. For many teams, the free audit is enough to know where they stand and what to fix first.
Enterprise analytics platforms: Profound, Evertune, AthenaHQ
These are the heavyweight, data-rich options — strong where rigor and history matter, priced accordingly.
Profound is an enterprise AEO/GEO platform that tracks how brands appear, get cited and are recommended across ChatGPT, Perplexity, AI Overviews, Gemini, Claude, Copilot and more. It's sales-led: a ~$99/mo Starter covers ChatGPT only, with Growth around $399/mo for three engines, a Lite tier near $499/mo, and full coverage on custom Enterprise. No free self-serve tier. Genuinely strong on multi-platform tracking and its opportunities/agents layer once you're at Growth or above.
Evertune is built for statistical rigor: it samples each prompt ~100 times across 9+ engines and backs results with a US consumer panel, producing stable visibility and sentiment metrics. It's the most defensible data in the category — and the most expensive, sales-gated and reported to start around $3,000/mo with no trial.
AthenaHQ pairs mention/sentiment analytics, citation tracking and competitor benchmarking with an action center for content fixes across eight engines. Self-Serve is $295/mo (about $95 the first month) with 3,600 credits; Enterprise is custom from roughly $2,000+/mo. No free tier or trial, and credits can burn quickly across engines.
Mid-market and specialist platforms: Goodie, Trakkr, Otterly.ai, Peec AI, Quattr
This tier suits teams that want continuous tracking without enterprise pricing — each leans a different direction.
Goodie monitors citations, representation, sentiment, share-of-voice and competitive benchmarking across ChatGPT, Gemini, Claude and Perplexity, with an optimization layer. Explorer self-serve is $399/mo (3 engines, 100 prompts); Pro and Enterprise are custom. No free tier, but a 30-day money-back guarantee.
Trakkr tracks daily how eight models describe, cite and recommend you, with perception scoring, citation-source mapping and weekly action playbooks. A 14-day no-card trial leads to Growth at $79/mo (1 brand, 50 prompts) and Scale at $399/mo (10 brands, white-label, API) — a strong agency fit.
Otterly.ai monitors mentions and citations across ChatGPT, Perplexity, AI Overviews and Copilot, with Gemini/AI Mode/Claude as paid add-ons. After a 14-day trial: Lite $29/mo, Standard $189/mo, Premium $489/mo — the cheapest real entry point.
Peec AI focuses on citation frequency and source tracking with competitor benchmarking; a 7-day trial only, then ~$89–$95/mo (3 engines), up to ~$495/mo Advanced, extra engines/countries paid.
Quattr is a broader enterprise SEO/AEO/GEO suite with a "GIGA" agent that automates content and internal-linking work; pricing is demo-gated, with third-party reports citing ~$79–$99/mo and custom Enterprise.
Keyword-first and SEO-rooted trackers: LLMrefs, Nightwatch
If you already think in keywords and rankings, these feel familiar.
LLMrefs is a keyword-first AI search analytics platform tracking brand rankings, mentions and citations across 11+ engines (ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, AI Overviews and more). Its free plan tracks a single keyword — useful for a quick look — and its one "All in One" Pro plan is $79/mo for 50 keywords and 500 prompts, labeled limited-time. Good value if your mental model is keywords rather than buyer prompts.
Nightwatch comes at AI visibility from 13+ years of rank-tracking data and added an AI-visibility module covering ChatGPT, Gemini, Claude and Perplexity. The rank-tracking base starts around $32/mo (annual), but AI visibility is a separate beta add-on at roughly +$99–$495/mo, with a 14-day trial and no free tier. The pull here is consolidating classic SEO rank tracking and AI answers in one tool — sensible if you're already invested in traditional rank monitoring and want AI as an extension rather than a standalone platform.
Compare specific tools
Head-to-head comparisons and alternatives for every major platform:
- AEOeye vs Athenahq · Athenahq alternatives
- AEOeye vs Evertune · Evertune alternatives
- AEOeye vs Goodie · Goodie alternatives
- AEOeye vs Llmrefs · Llmrefs alternatives
- AEOeye vs Nightwatch · Nightwatch alternatives
- AEOeye vs Otterly · Otterly alternatives
- AEOeye vs Peec · Peec alternatives
- AEOeye vs Profound · Profound alternatives
- AEOeye vs Quattr · Quattr alternatives
- AEOeye vs Trakkr · Trakkr alternatives
FAQ
What is an AI visibility tool?+
It's software that sends buyer-style questions to AI engines (ChatGPT, Perplexity, Google AI, Claude, Gemini and others), reads the answers, and reports whether your brand is mentioned, where it ranks, which competitors win, and which sources the model cited. The goal is to make the AI recommendation layer measurable so you can improve it.
Which AI visibility tool is best for a small business or solo founder?+
Start free. AEOeye gives an instant, multi-engine audit with no sales call or contract, which is enough to learn whether you have a problem and who's beating you. LLMrefs' free single-keyword plan and Otterly.ai's $29/mo Lite are good low-cost next steps if you want ongoing tracking on a tight budget.
How much do AI visibility tools cost in 2026?+
They span a wide range: free (AEOeye, LLMrefs' 1-keyword plan), entry tiers around $29–$99/mo, mid-market plans roughly $189–$495/mo, and enterprise platforms from $2,000–$3,000+/mo (Evertune, AthenaHQ Enterprise). Watch for engine gating — some cheap plans cover only ChatGPT, with other engines as paid add-ons.
Do I need an enterprise platform like Profound or Evertune?+
Only if you need continuous tracking, large-sample statistical significance, multi-country panels and historical dashboards — typically larger brands running a formal program. For a first read on whether AI recommends you and who wins instead, a free instant tool like AEOeye answers the question without the price tag or sales process.
Why do AI visibility numbers change each time you run a check?+
AI engines are non-deterministic, so the same prompt can return different brands on different runs. That's why serious tools sample each prompt many times — Evertune does roughly 100 — to produce stable averages. A single query is fine for a quick look, but heavier sampling gives more reliable share-of-voice and ranking figures.
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