I built AskAiRank, so this isn't a neutral third-party review. It's the review I wish someone had written before I sank a few weekends into building this thing: what it actually does well, where it falls short, and who should probably wait before signing up.
Why I built it
I run a handful of small SaaS products (a translator app, an AI text tool, a couple of others), and I kept noticing something in the traffic logs: people showing up on a pricing page with zero referrer, zero search query, just a cold visit that converted anyway. Eventually I connected the dots. They'd asked ChatGPT or Perplexity something like "best AI translator for Mac" and got a name dropped straight into the answer.
That's a problem you can't debug the normal way. Google Search Console tells you your ranking for a keyword. Nothing tells you whether Claude mentioned you yesterday, whether it mentioned a competitor instead, or which page it pulled that recommendation from. So I built the tool I wanted for my own products first, then opened it up.
What it actually does
The mechanics are simple on purpose. You set up a list of buyer-intent prompts, things a real person would type when they're shopping for something in your category, not generic keywords. Those prompts get run against the models on a schedule instead of once, because a single check tells you almost nothing. Ask the same question twice and you can get a different answer, a different order, different sources cited. You need to sample over time to see a real pattern, not a coin flip.
Every response gets parsed for brand mentions, position in the list, and any source links the model cites. That rolls up into a visibility score you can compare against competitors you add manually.
On the free plan you get one brand, 10 prompts, and coverage across ChatGPT and DeepSeek. The paid tiers add more prompts, more brands, and the rest of the model lineup, Claude, Perplexity, Gemini, Grok, Llama, Mistral, all the way up.
What's genuinely good
The prompt-and-schedule approach was the right call. In my own testing across our products, I noticed swings from one day to the next that would have looked like noise if I'd only checked once. Watching it over two or three weeks is what actually tells you something.
It's also cheap by category standards. Most of the AEO tools I looked at before building this one start around $100/month and climb fast. I priced this the way I'd want to pay for a tool as a solo founder: a real free tier, then $19 and $39/month steps before you hit anything resembling an "enterprise" price.
Where it falls short, honestly
Mention detection in free-form text is genuinely hard, and I'm not going to pretend it's solved. Models write prose, not structured data. They use aliases, partial product names, "you might also check out X" asides buried mid-paragraph, citations that live in a footnote instead of the sentence itself. I'm still iterating on the parsing logic, and I expect I'll be iterating on it for a while. If your brand name is generic or overlaps with a common word, expect the occasional miss.
It also doesn't currently track Google AI Overviews or AI Mode, only the standalone chat assistants. If a chunk of your traffic comes through Google's AI summary box specifically, this tool won't see that yet. It's on my list, not on the product today.
And it's a young product built by one small team, not a funded company with a research arm. If you need a dozen locations tracked daily with a dedicated customer success rep, that's a different price bracket and a different company.
Who should use it, who shouldn't
If you're a solo founder or small team who wants a rough, honest signal on whether AI assistants are recommending you over the competition, and you don't want to pay $99-800/month to find out, this is built for exactly that. Start on the free plan, watch it for two or three weeks, decide from there.
If you need enterprise-grade coverage across a dozen models and locations, or you specifically need Google AI Overview tracking today, look elsewhere for now, or check back in a few months, because that's roadmap territory for me.
What's next
The parsing engine is the priority. After that: better competitor alerting so you get pinged the moment a rival overtakes you in an answer, instead of noticing it yourself three days later. I'd rather ship those two things solid than pile on features nobody asked for.
If you want to see where you actually stand, AskAiRank has a free plan, no card required. I'd genuinely like to hear where it breaks for your product.
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