Launched this week
Howseen AI
Track how AI recommends your brand, and get cited
150 followers
Track how AI recommends your brand, and get cited
150 followers
Your buyers now ask ChatGPT, Gemini and Perplexity which tool or brand to buy. Howseen tracks whether AI recommends you or your competitors across ChatGPT, Gemini, Perplexity and Google AI Overviews, finds the exact questions where you're invisible, and generates SEO & GEO-optimized content to get you cited, auto-published to your blog on the highest-impact gaps first. Most tools stop at a score. Howseen closes the loop: measure, then act. Free to see where you stand today.
Howseen AI
Howseen AI
Kill Ping
Howseen AI
@agzee Thanks a lot! Most AI visibility tools stop at the dashboard: they tell you where you're missing. Howseen is built around what you do next:
1. It shows the exact pages AI cites when it recommends your competitors, and gives you a step-by-step playbook to get listed there.
2. It writes the content for the questions where you're absent and publishes it straight to your CMS (Shopify, WordPress, Webflow and more).
3. Every stat in those articles is traced to a real source. Anything unsourced gets removed automatically, so you never publish made-up numbers.
It tracks ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode every 3 days, from €79/month per brand, with a white-label version for agencies. What are you using today to see how AI talks about you? :)
I already auto-publish SEO articles for a couple of projects, and the part I can't see is whether any of it gets picked up by ChatGPT or Perplexity. one thing tho: for mobile apps the thing AI should cite is usually the App Store page, not a blog. do you track that too or only web pages?
Howseen AI
@guzeradimazz That blind spot is exactly why we built it: publishing is the easy part, knowing if ChatGPT or Perplexity picked it up is the part nobody sees.
On your question, two layers:
Mentions are tracked by name in the answer itself, so if ChatGPT recommends your app, it counts whether the source was your blog, the App Store or a Reddit thread.
Every cited URL shows up in the Sources tab, engine by engine, so an apps.apple.com listing appears right there next to the blogs.
Honest gap: today we only flag your own domain as "you", not your App Store listing. For mobile apps that's clearly the page that matters, so good push, I'm adding it.
Which one matters more for your projects, App Store or Google Play?
One real question where a competitor was the answer last month and your customer is now, with the date the post went live in between. I think that before and after would sell it better than any score going up
Dial
@raphaelaubry per-engine, no question. a blended line can go up while the one engine that actually drives your customers stays flat, and you'd never see it. we made that mistake early with call transcripts - averaging sentiment across days hid that one specific flow was tanking. only caught it once we broke it out by flow instead of blending. same logic should hold for engines here.
Howseen AI
@galdayan That's exactly the trap ahah ! A blended score looks fine while the one engine your buyers actually use stays flat. So we made everything per-engine: you can filter the whole dashboard by model, and every KPI, trend and shared report recalculates on that selection. On our own brand the gap is real: ChatGPT mentions us about twice as often as Google AI Overviews, which a single average would completely hide.
Your call transcript example is a great parallel. How did you decide which flow to break out first?
Dial
timeline over screenshot, honestly. a single screenshot of an AI answer is trivially easy to stage or cherry pick, anyone can screenshot the one good answer out of twenty tries. the same prompt tracked over time with the publish date pinned on it is the thing that's actually hard to fake, because it shows the change happening in response to something you did, not just a good result that might have existed anyway. screenshots are still useful as the "proof" moment inside that timeline, just not as the primary evidence
Howseen AI
@galdayan Fully agree, and it's the best way I've seen it put. One good answer out of twenty tries proves nothing, and anyone who has run the same prompt twice knows it.
That's why Howseen re-runs the same prompts on a schedule instead of taking one snapshot: the curve is the evidence, the screenshot is just the moment you point at.
The piece you and Roger both landed on is the one we're building next: pinning the publish date on that timeline, so you see what moved after you shipped something, not just that it moved.
For Dial, would you trust a timeline more if it showed every engine separately, or one blended line?