every founder i know has done competitive research wrong at least once.
not because they were lazy. because the process itself is broken.
you open a competitor's site. read the homepage. check their pricing. maybe scan a few G2 reviews. close 5 tabs. feel vaguely informed.
then you write positioning copy that sounds almost exactly like everyone else in your space - because you only happen to look at the surface.
the real problem isn't that founders skip competitive research. it's that the research they do tells them what competitors say, not what they leave open.
the gap between what a competitor claims and what they're quietly ignoring is where every good positioning decision lives. that's the angle nobody else is owning. that's where you win the customer who's slightly wrong for the category leader.
i spent a long time doing this manually - reading between the lines of competitor homepages, mining G2 reviews for what wasn't there, watching messaging change over time. it worked. but it took hours i didn't have.
so we built something to speed it up.
you describe your product. CompetitorSnap gives you >3 real competitors, what each one does well, where each one is weak, and - most importantly - your clearest opportunity given what they're all missing.
no login. no setup. you type, it thinks, you get a competitive picture in under a minute.
it's not a replacement for the deep research. job listings, customer interviews, win/loss conversations - those still matter and nothing automates them. but the first layer? the "who are we actually up against and what are they leaving on the table" question that should take 30 seconds and currently takes 3 hours? that part is solved.
try it at competitorsnap.com (https://www.competitorsnap.com/) - describe what you're building and see what comes back.
curious what people find. especially interested in: does the opportunity framing surprise you, or does it match what you already suspected?
This is a sharp framing. The line about positioning living "in the gap between what a competitor claims and what they're quietly ignoring" is the part most competitor tools miss — they summarize what's on the homepage, which is exactly the surface layer you're saying is already broken.
The hard part for an AI tool here is trust in the output. When you tell a founder "here are 3 real competitors and where they're weak" with no signup in under a minute, the failure mode is subtle: a plausible-but-wrong competitor, or a "weakness" that's actually outdated. Founders can't easily tell a confident hallucination from a real insight, and one bad result early kills trust in the whole tool.
So I'm curious how you're handling that under the hood:
Are you grounding the competitor list in real sources (search, reviews, job listings you mentioned), or is it mostly model knowledge?
Do you do any verification pass on the "where they're weak" claims before showing them?
Does the same model handle discovery, summarization, and the opportunity framing, or do you split those steps?
Asking because we work on the model/API side at EvoLink, and the pattern we keep seeing is that "find + verify" usually wants a different model setup than "write the nice summary" — the discovery step rewards a cheaper grounded model, and the positioning step rewards a stronger one. Curious whether you've hit that split yet.
hey Evan - you're describing the exact tension we think about most.
the first results are built for speed - something on screen in under 30 seconds, no signup required. as you engage, a deeper set surfaces that's gone through more rigorous checks before it shows up. the cards update visually when that happens.
getting this right matters to us. the failure mode you described is something we've thought hard about, and our verification layer is built specifically to catch it. trust in the output is something we take seriously and keep a close eye on.
still early, still watching closely.