I scanned 35 SaaS products across ChatGPT, Claude, Perplexity, Gemini
AI representation auditing for SaaS, but the category already has SEO/discovery tools.

AI SEO scanner when the underlying recommendation mechanics are still opaque.
Small business owners and marketers
BrightEdge · MarketMuse · Frase
Noticed recently that one of my products had started getting a huge amount of traffic coming from ChatGPT and Perplexity, while another one had been getting zero.
Went down a very deep rabbit hole trying to work out why the second wasn't being recommended, and found a bunch of things you can do to increase your chances (with some decent results after a week or two).
So this website does a free scan of your website (no signup), creates a bunch of questions buyers could ask if looking for a product like yours, checks whether AI recommends your product or not, compares your results to your competitors and, most importantly, gives you a checklist of things you need to do to get recommended more often.
You can then rescan and see whether your recommendation rate has increased or not.
As I say, it's free to scan without signup.
This has been pretty useful to me for my 5 products so far, so I hope it will be for you too. Any questions, issues or suggestions, please let me know. I'll respond in comments and to [email protected].
Thanks, Chris
AI representation auditing for SaaS, but the category already has SEO/discovery tools.
It treats LLM outputs as a new acquisition channel and backs that insight with real-time scans, an AI visibility score, alerts and auto-generated content aimed at sources LLMs trust (Reddit/Quora/Medium). The execution reads product-grade, but the landing leans on bold claims (human publishing network, +47% lift) with little methodological transparency and potential platform/ethics risk around gaming AI recommendations — I'd want more proof and clarity before committing budget.
Solves a real new problem, but the market is barely formed and validation is weak.
Multi-AI comparison extension when ChatHub and similar tools already exist.
llms.txt files for AI agents before competitors own the discovery layer.
GEO auditing for AI recommendations when this problem literally didn't exist two years ago.