
Omnia
Become the brand AI recommends
466 followers
Become the brand AI recommends
466 followers
Omnia is an AI visibility tool that shows how AI sees your brand and helps you take action. Discover real AI prompts, monitor brand presence, benchmark competitors, and create content that boosts visibility and citations in AI search.









@danimirror The way the tool is more customer-focused makes it stand out. Congrats on the launch!
thanks! @neilverma
@danimirror your demo video gave the the aha! moment. Very cool stuff. This is an exciting time
@ejprice :D
Thanks Evan!
Huge congrats on the launch, @danimirror! The shift from SEO to GEO is something most brands are still sleeping on.
While Omnia handles how brands show up in AI searches, we’re tackling the implementation side: how teams actually use these AI models (like Claude) as coworkers once they find you.
We’re currently building a roadmap for this in our community project, Claude Cowork
(link in my profile bio for those interested in the workflows!).
Quick question: Does Omnia's monitoring also track how agentic workflows (like Claude's computer use) cite brands, or is it currently focused on chat-based search?
@danimirror Congrats on your launch! What types of SEO tactics actively hurt AI recommendation likelihood?
And Have you identified cases where top-ranking Google pages are never cited by LLMs?
@danimirror Hi Dani - that Klarna insight is powerful. If buying decisions are starting in AI chats, brand discovery is shifting fast. GEO feels like early SEO days all over again.
Monitoring prompts and shaping how brands show up in AI answers is a smart direction.
I’m building Ahsk, a macOS AI assistant focused on helping founders work faster in flow. Would love to connect and exchange feedback.
Product Hunt
Hey kitty! @curiouskitty
The best KPI's a team can define are:
Share of Voice
Visibility
Mentions
The timeframe to see impact depends of the industry and the company, but we are seeing high impact in days, like with this case
Cursor
Congrats Omnia team!
Thank you a lot! @benln
That's a really new trouble for business owners. Do you have access to OpenAI users' requests? Can you track what users ask in chatgpt, for example?
Hey @olya_vasilevskaya !
thanks for the comment :D
We don't have access to OpenAI user's request (nobody does except them). We replicate the users' questions by asking daily and with different prompts to the AI engines (in this case to ChatGPT), so we reach a statistically true.
100 Vibe Coding
This is such a great product, congrats on the launch!
I think having a connector to automated article generation could be a game changer for this.
Is it in scope?
Hey @rogarmu8 !
Yes, it is! It will be here soon!
Interesting space. AI discovery is shifting how users start buying decisions, but the challenge seems less about monitoring prompts and more about connecting insights to concrete actions. How are you measuring whether visibility changes actually translate into citations or recommendations in AI responses?
Hey @siftly !
we analyze real AI-generated answers and their citations across multiple days, detect repeatable patterns in how brands/products surface, and then generate actionable recommendations grounded in that evidence. So it's not just monitoring, it's connecting the what changed to the what to do about it.
The key insight (as you said) is that AI visibility isn't static like a search ranking. A model might cite you today and not tomorrow depending on context, prompt phrasing, or competing content. That's why pattern detection over time matters more than single-snapshot tracking.
@danimirror That makes a lot of sense. The pattern-over-snapshot framing is strong. Are you seeing brands actually change content strategy based on these insights yet, or is the market still in the “monitoring” phase?
I'll remember
Hey @danimirror . Congratulations on your launch. Your product is very intriguing. I just tried it and I have one question:
Where are the information about the user prompts coming from? I see some weird prompts that don't sound like real user questions. For example: In the screenshot (sorry, it's german) you see a question "What microphone is the best for newbies in the year 2026?" I really can't imagine someone would ask for a specific year.
hey @kay_siegert ! Thanks a lot for trying it out and for the great question 🙌
The prompts in Omnia Trends are trend estimations, not exact copies of a single user query. They reflect what’s most searched/asked across AI tools.
Since only platforms like OpenAI, Perplexity or Google have full access to raw data, our Trends data are estimated using:
A dataset of real customer prompts (via a Chrome extension)
SEO data
Social listening across platforms
So something like “best microphone for beginners in 2026” reflects how users often phrase timely, future-oriented queries.
While volumes and difficulty scores aren’t perfect, they’re highly accurate and very useful for deciding what to optimize for.