If you're evaluating AI visibility tools, here's the honest breakdown of Profound, Peec AI, and AEOrank. Not a "why we're better" pitch, just what each one is actually built to do, so you can figure out which piece of the problem you're trying to solve first.

Profound: the large-scale measurement platform

Profound is the largest player in this space, reaching a $1 billion valuation in February 2026. It tracks brand visibility across ChatGPT, Perplexity, Google AI Overviews, Copilot, and Gemini, with prompt-volume analytics that show what people are actually asking these engines, citation tracking to see whether and how you're mentioned, and competitor benchmarking. It also ships AI agents built to act on AEO, SEO, content, and demand-gen work directly.

In short: Profound answers "are we being cited, by whom instead of us, and across how much real query volume," at enterprise scale, with a lot of infrastructure behind that answer.

Peec AI: focused visibility tracking

Peec AI does something similar at a more accessible scale. It tracks visibility share, ranking position, and sentiment across the same major engines, with citation analysis showing the exact sources an engine pulled from and competitor share-of-voice benchmarking. It added AI Shopping Analytics in June 2026, tracking which product SKUs get recommended and at what price, useful specifically for ecommerce brands.

Peec also supports multi-country and multi-language tracking, and ships an MCP integration for piping visibility data into tools like Claude directly. It's a strong option for teams that want real ongoing measurement without enterprise-scale pricing.

What Profound and Peec have in common

Both answer the same underlying question: are we being cited, and by whom instead of us. They measure what happens inside the AI's answer itself, tracked across real engines, real query volume, and real competitors. That's genuinely valuable, and it's the kind of measurement most B2B teams don't have any visibility into today.

What neither one does is act on the gap once it's found. Knowing you're not cited for a query category doesn't tell you what specific, real-world conversation to go join to change that.

AEOrank: acting on the source material

AEOrank answers a different question: where is the real conversation happening right now, before an AI has generated any answer at all. It finds live Reddit threads where a company's product category comes up, verifies whether the company (or a competitor) has actually replied by checking the real comment thread, not just the original post, and flags the ones sitting open and unanswered.

That's genuinely upstream of what Profound and Peec measure. A citation doesn't appear from nothing. It gets built, in part, from the same kind of public discussion AEOrank is built to surface. We checked this directly across 30 real companies rather than assuming it: most had a live, unanswered thread sitting in their category, waiting.

They're not really competing for the same budget

In practice, a team using Profound or Peec already knows visibility is a problem worth tracking. AEOrank is the part that happens before the score changes: going to the actual source conversation and replying while it's still live, without getting flagged for doing it wrong.

A reasonable way to think about the stack: Peec or Profound tell you whether you're showing up. AEOrank finds the specific, real places to go do something about it. Different layer, different budget line, genuinely complementary rather than overlapping.

If you're already tracking AI visibility with one of these platforms and want to know what to actually do with the gaps it surfaces, that's the part we built. Happy to show you what we find in your category.