If you've spent any time researching AI visibility tools recently, you'll have noticed two things. First, the category has exploded. Second, every tool's marketing makes it sound like the only one that matters. This post is the read I'd give a client over coffee. Honest, opinionated, and shaped by what these tools actually do versus what they claim to.

I'm not affiliated with any of the platforms below. I've used several, demoed more, and read what other practitioners and customers are saying in long-form reviews and G2 threads. Pricing and features change constantly in this category, so always check vendor sites for current numbers before signing anything.

What this category is, really

Strip away the marketing and AI visibility tools do some combination of four things:

  1. Track — they run prompts against ChatGPT, Perplexity, Gemini, Google AI Overviews and others, and tell you whether your brand showed up.
  2. Benchmark — they compare your appearance rate to competitors over time.
  3. Source — they tell you which third-party pages the LLMs are citing to construct those answers.
  4. Recommend — they suggest fixes, often as content briefs, schema additions, or pages to pursue mentions on.

The cheapest tools do (1) reasonably well. The most expensive ones attempt all four with workflows wrapped around them. Almost no tool in the category meaningfully tracks accuracy, which is the more interesting question — what happens when an LLM is mentioning you confidently and incorrectly. More on that below.

The enterprise tier

Profound

The category leader by funding, brand recognition and customer footprint. Profound raised $96M in a Series C at a $1B valuation in February 2026, with Lightspeed leading and Sequoia and Kleiner Perkins continuing to back. Total funding sits north of $155M. Their customer list reads like a Fortune 500 marketing-department roll call: Target, Walmart, Figma, MongoDB, Charlotte Tilbury, Chime, U.S. Bank.

What you actually get is deep prompt-level tracking across the major answer engines, citation source analysis, agent analytics (i.e. who's crawling your site and what they're doing with it), and now Profound Agents — automation that takes the visibility data and runs content workflows off the back of it. That last piece is the real bet: moving the platform from "dashboard that tells you things" to "system that does things."

The trade-off is what you'd expect at this tier. Entry pricing has come down — there's now a $99/month plan — but the meaningful enterprise capabilities sit in custom-priced tiers. The repeated criticism in long-form reviews is that the data depth can be overwhelming and the team capacity required to action it is real. If you don't have a dedicated person, the dashboard becomes shelfware. Build credit: they've been the loudest voice in the category from the start, and the broader market has had to catch up to their feature surface.

AthenaHQ

Probably the most direct head-to-head competitor to Profound. Built by founders out of Google Search and DeepMind. The product positioning leans on AI blindspot detection, a "Smart llms.txt" feature for controlling AI crawler access, and what they call an Action Center — translating visibility data into specific page-level recommendations.

Self-serve pricing starts at $295/month with unlimited topics and unlimited seats, which is structurally different from how Profound prices. If you have a wide team and limited prompt-set complexity, AthenaHQ's unit economics tend to work out better. The deeper enterprise tier with Persona Targeting and self-improving content workflows is custom-priced.

The mid-market

Goodie

Stronger emphasis on the marketing-team experience. Goodie's strength is competitive heatmapping — visualising where your brand sits across the response space relative to competitors, less about raw citation counts and more about brand positioning. They cover Profound's core platforms plus Grok and Meta AI, which matters more than it used to.

If your stakeholders need to look at the data and understand it without a deck of explainers, Goodie usually photographs better. The trade-off is less depth on technical SEO correlation, so if you want to know why visibility shifted, you'll need to pair it with something else.

Scrunch AI

Sits in a similar mid-market position. Strong on actionable recommendations and content optimisation guidance rather than just monitoring. Often comes up alongside AIclicks and AthenaHQ in lists of tools that close the loop from "you're invisible here" to "do this specific thing to fix it." Around $300/month entry tier.

The starter tier

Peec AI

The most-cited cheaper option, at €89–€99/month. Strong on benchmarking and competitor tracking. Limited on integrations and backend depth. If you're a small team that needs to start measuring share of voice tomorrow morning and can't get a $1,500/month invoice past finance, this is where I'd point you.

Otterly

A genuinely affordable monitoring tool, especially for startups. Does the core "are we cited, where, when" job. Doesn't pretend to do deep SEO correlation or enterprise reporting. That's a feature, not a bug, when you're trying to prove the category matters before asking for budget.

Goodie's free tier and AI Product Rankings

If you genuinely have no budget yet and just want to look at the question, both offer free tiers that will tell you whether your brand appears for a small set of buyer-intent prompts. Useful for the first sense-check. Not enough to run a programme.

The SEO suites adding AI visibility

Ahrefs Brand Radar, Semrush AI Toolkit, SE Ranking, Surfer. Every major SEO suite has now bolted AI visibility onto an existing product. The honest read is that these are useful if you're already paying for the suite and want a single dashboard, but none of them are purpose-built for this work. The signal depth, prompt-set sophistication and citation tracking lag the purpose-built tools by a noticeable margin. Reasonable for "we want to know roughly what's happening." Not enough if AI visibility is a programme line item.

The gap nobody is fully addressing yet

Most of these tools count mentions. Far fewer measure accuracy. There's a real difference between "ChatGPT mentioned us 47 times this week" and "ChatGPT correctly described our pricing tier and use case in 12 of those 47 mentions." Hallucinated pricing, fabricated features, outdated leadership — these are the things that hurt revenue, and they're systematically under-tracked.

A small group of tools (LLMClicks has been most vocal about it) are pitching accuracy detection as their differentiator. Expect this to become a more crowded conversation through 2026 as enterprises start auditing not just whether AI is talking about them, but what it's actually saying.

How to choose

I'd resist the urge to pick the longest feature list. Instead, work backwards from the decision you need the tool to support:

The honest part

No tool on this list will fix your AI visibility for you. They'll tell you the temperature. They'll show you the gap. The work of building entity clarity, getting cited on third-party pages, restructuring your content for LLM retrieval, and ensuring your brand is actually a recommendable answer — that's not a tooling problem.

If anything, the danger of buying a $500-plus-a-month dashboard before you've done the underlying entity and content work is that it will tell you something you already know — you're invisible — every week, for a year, until you finally do the work the tool can't do for you.

Start with the question of whether your brand is a clear, well-understood entity in the first place. The tool can come later.

Michelle Legge
About the author

Michelle Legge

Founder · everwilde one

Two decades across brand storytelling, SEO, content strategy and now GEO. The full arc of digital, not just one chapter of it. Specialist in AI visibility, entity strategy and Search Everywhere Optimization. EMEA-focused, globally experienced.

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