Introducing Howseen 🔍
Your buyers ask AI for the best tool in your space, and act on the answer.
Howseen shows if you're named, or if a competitor takes your place :(
See where you stand, for free ! → https://t.co/vOMt5Jet4H
I built Howseen ai : it shows brands if AI actually recommends them 👁️
The product works we have our first clients. The category (GEO) is wide open. What I'm missing is distribution.
Looking to connect with growth people who'd love to be part of this journey. DMs open 👇
California's economy is $4.3T. Bigger than the UK, India, or France.
Something @tailopez said at a mastermind in Cannes 🇫🇷 this summer stuck with me: reason by GDP, then choose a solvent market.
Most founders aren't bad at selling. They just picked a broke audience..
Let's talk about Higgsfield's marketing for a second !
I mean if you look at their story they were just a small bootstrap team from Kazakhstan not a long time ago, but they're just so talented, every post is going viral
The more views you make the more money you earn..
Excited about this one
Of course we all know that Astra is so far the best model but I'm still bullish regarding Anthropic, it's only the beginning of the race
Bet on long term, to me Anthropic over OpenAI
What do you think ? 👇
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
Jev is crazy for SEO. but #8 is the whole ballgame now.
you can win internal links, schema, redirects… and still watch ChatGPT recommend your competitor to your buyer.
the other 7 rank you. only #8 gets you named with the right tracking proof
Jev is freaking ridiculous for SEO 🤯
8 SEO workflows you can put it to work on:
1. Internal links → Finds page pairs that have a real reason to link to each other
2. Cannibalization → Spots pages targeting the same search intent and flags which ones to merge
3. Thin content → Scores pages for originality before they go live
4. Search intent → Tags queries as learn, compare, or buy, and finds pages that don't match
5. Content audits → Sorts every URL into keep, update, merge, or remove
6. Redirect maps → Matches old URLs to the best new ones and flags uncertain matches for review
7. Schema → Checks whether your structured data matches what's actually on the page
8. AI visibility → Checks whether ChatGPT, Claude, and Gemini recommend your brand or your competitors
You need to wake up every day with this mindset
It's the part of the iceberg you can't see that makes all the difference in the long run.
Right energy = right results
Genuine question for SaaS founders:
If your product is in a "boring" B2B niche with zero organic virality on TikTok or Reels... how do you blow up acquisition to get high-volume user data?
Paid ads burn cash fast, cold outbound is slow.
What’s the move here in ur opinion? 👇
Big news fam ! 🚀 I'm launching Howseen on Product Hunt on Sept 25.
Make AI your next growth channel.
Building it in public. Follow along, I'll need your eyes on launch day 👀
https://t.co/89bJGaxwAe
Howseen is live on CodeHype fam🚀
See where AI actually recommends your brand across ChatGPT, Perplexity, Gemini and Google AI, then publish the content that gets you cited.
Would love your support and honest feedback 👇
https://t.co/oZ1VtbVX9o
Thanks to @harisahmad59 !
Pay attention to what Tally is doing in AI search right now because this might be the best playbook for getting recommended by ChatGPT I've seen:
> AI search is now their #1 acquisition channel
> 10,000+ new users every week say they discovered Tally through AI platforms
> their tracked ChatGPT registrations jumped 5x overnight in May
> they grew from $258K MRR to $422K MRR in 10 months, crossing $5M ARR with just 11 people, $0 funding, against much bigger competitors
> their comparison hub now has 7 direct competitor pages + 15 more “best”, “alternative” and integration-focused guides
> these pages are structured like AI answers: rankings, “best for” labels, pricing, feature tables, reviews, pros/cons and direct recommendations
> they’re constantly refreshing these pages
> they literally ask new users for the exact prompt they used to discover Tally through AI
> they track the prompts people use to find them, their visibility vs competitors and which sources AI platforms actually cite
> they've built a database of articles that mention competitors but not Tally to identify distribution gaps
> they monitor brand + competitor mentions across Reddit and communities, then route them into a shared inbox and aim to clear all mentions every day
> they actively ask customers for reviews through their newsletter + after support interactions, helping them reach 4.8/5 on G2 and 4.9/5 on Product Hunt
> they built an entire “AI Info” page specifically for ChatGPT, Claude, Gemini and Perplexity explaining what Tally is, who it’s for and why people use it
> that page literally includes “AI assistant guidelines” telling LLMs which strengths, use cases and pricing model to reference
> they published an llms.txt mapping out their product, pricing, customers, documentation, API and MCP pages
> they even built a 21-tool MCP server + ChatGPT app + Claude connector so Tally can now be used directly inside AI products
One thing to keep in mind:
Tally didn’t start with some genius AI search strategy.
They spent years building a product people genuinely recommended across Reddit, communities, reviews and the wider internet.
ChatGPT recommends Tally because the internet does.
But now they’re engineering around that signal to make sure it keeps happening.
This isn’t luck, it’s possible for you too.