Omnia - Become the brand AI recommends
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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.
Replies
@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.
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.
Capchase Expense Financing
Congrats on the launch @danimirror!
What’s been the biggest “aha moment” so far when working with customers?
@gulipad Thank you! We're excited!
We’ve had a couple of really cool ones, but the one that caught our attention the most is the case of INDYA, a SaaS for nutritionists that grew from position 11 to position 2 across several prompts in less than a week by implementing the insights provided by Omnia.
In fact, you can find the full case study here
@danimirror Love the idea of helping brands understand how AI actually perceives their presence — visibility in AI search is quickly becoming as important as traditional SEO. We’re exploring a related space at Turgo.ai, where autonomous AI agents help teams execute and optimize entire marketing workflows automatically. It would be really interesting to compare how visibility insights and workflow automation can work together to drive better outcomes.
Hi @venkataramana_kottakota ! Sure, let's talk :)
@danimirror sure daniel may i know your free time?
What does the product look like today vs what you thought you were building on day one?
Congrats on the launch! @danimirror
Hey@miguel_beltran_sanchez !
It has changed a lot!
We're redesigning a lot of features, and releasing others almost every week!
@danimirror Really interesting space – AI visibility is becoming the new SEO conversation. 🙂 The framing around "the game has changed" feels very true right now.
I’ve been seeing quite a few tools emerging around "how AI sees your brand", so I’m genuinely curious: how do you think about differentiation in this category? Is Omnia’s edge more in the prompt discovery layer, the monitoring depth, or in the content recommendations side?
hi @tereza_hurtova !
Very good one :)
Omnia is a action-first tool, we are focusing on recommendations by insights and content (in the next release) to be very accurate to the content we offer to the customers.
Also, we're an agentic platform, we will launch soon the MCP too, so you'll be able to apply all the intelligence residing within Omnia to your day a day workflow.
Thanks for asking!
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!
very attractive product, congrats on the launch. my only feedback is put a clear function/describtion at pricing for how to gain the AI visibility. I am a little bit confused when I check pricing difference.
@tyler_tian thanks!
The pricing is based on prompts monitoring so far. You can read: all featured in growth/pro plan, plus: other features
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?
How often do you monitor?
Hey@juan_ros , thanks for asking!
We monitor at least daily. Sometimes if the monitoring data doesn’t converge (because LLMs are non deterministic by nature) we start monitoring more frequently until the data converges (basically until we find the statistical truth).