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ModelSaid
Find out if AI recommends your brand, or your rival
Your buyers ask ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews for recommendations. ModelSaid runs the prompts they actually type across all five engines, then shows where you appear, where competitors appear instead, and which sources those answers were built from. You get a 0-100 visibility score, share of voice against named rivals, the cited domains behind every answer, and scheduled re-scans that alert you the moment your position moves. Free scan, no card required.
Hi Product Hunt 👋
I'm Erik. I built ModelSaid after watching a business lose a customer to a
competitor who had never once outranked them on Google. The customer had asked
ChatGPT for a recommendation, and my client simply was not in the answer.
Nobody was measuring that. You can see every Google rank you hold, and nothing
at all about the answer an assistant gives when someone asks it who to hire.
So ModelSaid asks. Every scan runs the prompts your buyers actually type across
five engines (ChatGPT, Claude, Gemini, Perplexity and Google AI Overview), then
reports four things:
- whether you were mentioned, and in what position
- who got recommended instead, and how often
- the sources those answers were built from, so you know what to go fix
- a score you can re-run on a schedule and get alerted on when it moves
Two things I would genuinely like feedback on:
1. Most tools in this space skip Claude and treat Google AI Overview as a paid
add-on. I run all five on every scan. Is that the coverage you want, or is
there an engine I am missing that matters to you?
2. The citations view is the part I am least sure about. It tells you which
domains the models pulled from, which is the closest thing to an actionable
next step I have found. Tell me if it reads that way to you.
The scan is free and needs no card. Run it on your own domain and reply with
what surprised you. If the result is bad, that is the useful case, and I will
happily walk through what is causing it.
About ModelSaid on Product Hunt
“Find out if AI recommends your brand, or your rival”
ModelSaid was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #82 on the daily leaderboard. Your buyers ask ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews for recommendations. ModelSaid runs the prompts they actually type across all five engines, then shows where you appear, where competitors appear instead, and which sources those answers were built from. You get a 0-100 visibility score, share of voice against named rivals, the cited domains behind every answer, and scheduled re-scans that alert you the moment your position moves. Free scan, no card required.
On the analytics side, ModelSaid competes within Marketing, SEO and Artificial Intelligence — topics that collectively have 980.9k followers on Product Hunt. The dashboard above tracks how ModelSaid performed against the three products that launched closest to it on the same day.
Who hunted ModelSaid?
ModelSaid was hunted by Erik Nilsen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ModelSaid including community comment highlights and product details, visit the product overview.
Erik Nilsen