What Reddit Really Says About AI Visibility Tools: 29 Threads, 977 Comments

How did we do this?

We used SocialCrawl to search Reddit for threads about tracking or improving brand visibility in AI answers, then pulled up to 15 top replies from each. We removed three threads that drifted off topic. That left 29 threads from 20 subreddits, with r/aeo, r/AskMarketing and r/GEO_optimization the most common.

We counted a brand as named in a thread if any of the replies we read mentioned it, and grouped replies into themes by the words they used. It's a reading of public discussion, not a survey. Upvotes in small subreddits are low, so we treat them as a rough signal only. We didn't store or use anyone's username.

Which tools do people actually recommend on Reddit?

The pattern is clear when you read the threads in full. Most recommendations weren't comparisons. People named the tool they already used for SEO and said it now covers AI too. That's why general suites lead the count, and why a newer, specialist tool can be invisible in these conversations even if it does the job well. We cover how that feeds into AI answers in why ChatGPT recommends your competitor.

What worries people about AI visibility tools?

• Price (11 of 29 threads). Replies called the big tools "insanely expensive", complained about annual-only contracts, and one buyer asked for anything "under $99" a month. Several people said they'd built a cheaper tracker themselves.
• Whether the data is real (9 threads). People debated whether tools that query AI through official APIs see the same answers users see, versus tools that capture the consumer apps. Both camps had a point: API answers can differ from the apps, and scraped answers vary with location and account.
• Noise from one-off checks (7 threads). Several replies pointed out that the same prompt gives different answers each time, so a single check, or a dashboard built on one run per prompt, is a snapshot at best.
• Vanity versus outcomes (10 threads). Many replies said the number that matters is leads and sign-ups, not a visibility score, and suggested asking new customers how they found you.

Why were the most upvoted replies sceptical?

The two most upvoted replies we read, with 24 and 20 upvotes, both argued that AI visibility is mostly the result of good SEO and a strong brand. One put it bluntly: "GEO is simply SEO 2.0." A third, with 10 upvotes, said Search Console and Bing Webmaster Tools are all you need and the rest is noise.

We think the sceptics are mostly right about the foundations and partly wrong about measurement. Crawlable pages, clear answers and a real reputation do most of the work, which is what our GEO vs SEO piece argues too. But Search Console can't tell you what ChatGPT said about you, which competitors it named instead, or which sources it cited. That gap is what tracking is for.

The data is useful for trends and not very reliable for single snapshots.

A reply with 7 upvotes in r/GEO_optimization, from someone who had tried several tools

Can vendors take part without being called shills?

Yes, if they do it the way the best ones did. About 18 of the 298 replies we read came from people who said they built or sold a tool or service. Most got the same single upvote as everyone else. The two that did best, with 11 and 8 upvotes, opened with a clear disclosure, then gave detailed advice that would help the reader even if they never bought anything. One founder literally said they had a reason to sell a service and were telling people how to do it themselves.

The replies that went nowhere did the opposite: a tool name, "I'm the founder", and little else. We've turned these lessons into a practical guide: how to take part on Reddit without getting banned.

What should you ask before you buy an AI visibility tool?

Pulling the threads together, these are the questions experienced users said they wish they'd asked: