u/SoloDevLucas

Was putting together a teardown of Profound alternatives (standard checklist: pricing, models tracked, API access).

Instead of skimming what other blogs wrote, I went through the vendors' actual checkout and pricing pages. It was messy:

One tool had a free tier listed across three different "Best of 2026" guides. That tier literally doesn't exist on their site anymore.

Quota misrepresentation is everywhere. A comparison table will claim Tool A offers "2,000 API calls," without mentioning that API access is locked behind a $189/mo tier, while the entry plan at $29 has zero developer access.

I almost published an embarrassing mistake myself on billing units before catching it on a second read.

I build an open-source project in the GEO/AI-visibility space, so I'm biased toward transparent docs, but this felt egregious.

Do buyers actually rely on these roundups for anything beyond a list of brand names, or is the consensus that third-party comparison numbers are basically placeholders until you verify them yourself?

Two weeks ago I shared the open-geo CLI here. The feedback pushed me toward multi-engine tracking instead of stopping at static audits, so I spent the last two weeks building a pipeline to monitor live search results.

Running it forced me to drop a bad assumption: treating GEO as an on-page scoring problem. A high technical score is meaningless when competitors are systematically taking the citations.

Ran a benchmark query — "best GEO tool for AI search optimization." Models recommended 6 competitors. Every recommendation traced back to the same cluster of 2-3 third-party comparison articles.

https://preview.redd.it/jg5t5sce4vsh1.png?width=960&format=png&auto=webp&s=d9e980a304ece9b99877a23c9d02e77b0e3fafa7

And for my domain? Nothing. Not a bad article, not wrong facts. Just zero reference pages the AI could pull from. My problem wasn't thin content or bad technical hygiene — I just wasn't on the URLs the model trusted.

Two mechanical quirks came out of parsing live responses:

1.Brand mentions and source citations are completely decoupled. An engine will recommend a competitor without linking, or cite a URL without naming the brand. Treating those as one metric wrecks your audit accuracy.

2.Google AI Overview is way more consolidated than Perplexity. Perplexity spreads across 8-10 sources. Google almost always anchors to the top 2-3 consensus URLs. Not in that retrieval slice, you're invisible.

Curious if others are seeing this same concentration around third-party roundup pages, or if primary docs are actually getting direct citations in your niches?