Omnia: The "SEO Tool" for the AI Era—Helping Brands Get Recommended by ChatGPT

2026-02-18 | ProductHunt | Official Website

30-Second Quick Judgment

What is this?: It monitors how many times your brand is mentioned in AI search engines like ChatGPT, Perplexity, and Google AI, then tells you how to increase your chances of being "recommended by AI." Simply put—traditional SEO gets you on the first page of Google; Omnia gets you recommended by AI to the user.

Is it worth watching?: Definitely worth watching, but keep an eye on it for now. GEO (Generative Engine Optimization) is a real and fast-growing sector—Gartner predicts traditional search traffic will drop by 25% by 2026. However, Omnia itself is very early (founded in 2025, only 14 PH votes), pricing is opaque, and independent user reviews are almost non-existent. If you're in brand marketing or SEO, you must follow this direction; if you're an indie developer, the opportunity within the sector itself is what's worth watching.

Three Questions for Me

Is it relevant to me?

Who is the target user?: Brand marketing teams, SEO experts, growth teams, and marketing agencies. Specifically, mid-to-large companies that rely on search for customer acquisition.

Am I the target? If you fit any of these scenarios, yes:

• Your company relies on search leads and you're noticing AI search eating into traditional traffic.
• You're an SEO professional and clients are starting to ask, "Where do we rank in ChatGPT?"
• You manage a brand and notice competitors are being recommended by AI while you are not.

When is it NOT needed?:

• You're an indie dev making small tools—AI search traffic has limited impact on you for now.
• You have a B2C product where users come through app stores—AI search isn't your main driver.
• You're an early-stage founder with a limited budget—focusing on product-market fit is more important than AI visibility right now.

Is it useful?

ROI Judgment: If your business is heavily dependent on search (B2B SaaS, E-commerce, Media) and your monthly marketing budget is $5,000+, the ROI for these tools is likely positive. If you're a solo project or a small team, manually searching ChatGPT to see if your brand pops up is probably enough for now.

Is it worth the hype?

The "Wow" Factor:

• Discovering Blind Spots: Seeing that the overlap between AI citations and Google's front page is less than 15% is a huge wake-up call—the SEO you worked so hard on might be totally invisible in the AI world.
• Competitor Data: Being able to see the "Share of Voice" for competitors in AI answers was previously a complete black box.

Real User Feedback:

"Omnia has been key to our growth — helping us understand what potential clients are searching for, how well we're positioned, and how to capture leads from AI across different markets." — Adrian Varez, Head of Growth at HappyRobot

Customers report an average 3x increase in AI visibility. — From Omnia official data

To be honest, there are almost no independent third-party reviews yet. You won't find much user discussion on Reddit or Twitter; the product is just that new.

For Indie Developers

Tech Stack

• Frontend: SaaS Web platform (specific framework not disclosed)
• Backend: Based on an "agentic platform" architecture, using agents to run prompts and analyze results
• AI/Models: They don't train their own models; they act as a "crawler for AI engines"—simulating real users sending prompts to ChatGPT/Perplexity/Google AI to scrape and analyze answers.
• Core Logic: Prompt Discovery -> Daily Automated Tracking -> Citation Source Analysis -> Optimization Suggestion Generation.

How the Core Features Work

Omnia's technical essence is an "AI search engine crawler." When a user sets keywords to monitor, Omnia's agents act like real users, sending the same prompts to ChatGPT, Perplexity, etc. They then collect the answers, extract brand mentions and citation sources, and track trends. It's the same logic as traditional SEO tools tracking Google rankings, just with AI responses as the target.

Open Source Status

• Is it open source?: Completely closed source; no code on GitHub.
• Similar Open Source Projects: There are no mature open-source GEO tracking tools yet. However, building a simplified version using Python + various AI platform APIs is feasible.
• Difficulty to Build: Low-to-Medium. The core is just scheduled API calls to ChatGPT/Perplexity, parsing brand mentions and links. The challenges are: 1) Avoiding API limits/anti-scraping, 2) Managing prompts at scale, 3) Creating a clean visualization dashboard. An MVP could likely be built by one person in 2-3 months.

Business Model

• Monetization: SaaS Subscription
• Pricing: Not public, 14-day free trial. Based on positioning, it's likely in the $99-299/month range (between Otterly's $29 and Profound's $499).
• Clients: 10+ brand clients like Personio, ElevenLabs, Trade Republic, Air Europa, and agencies like MIO Group.

Giant Risk

This is a real threat. Semrush has already launched an AI Visibility module for $99/month, and BrightEdge is doing the same. However, the GEO space is still in its infancy; focused startups have a chance to build an advantage through rapid iteration and vertical depth. The bigger risk: Google might provide its own brand analysis tools for AI search (Google Search Console + AI version), which would directly impact the entire sector.

For Product Managers

Pain Point Analysis

• What problem does it solve?: Brand "invisibility" in AI search engines—you don't know who ChatGPT is recommending, who it isn't, and why.
• How painful is it?:
  • Overlap between AI citations and Google's front page is less than 15%.
  • 78% of brands recommended by AI are not the top-ranked ones on Google.
  • 58% of consumers are starting to rely on AI for product recommendations (up from 25% two years ago).
  • Gartner predicts a 25% drop in traditional search traffic by 2026.
• Frequency: High—AI citation sources change daily.

User Persona

• Primary Users: Marketing/Growth teams at mid-to-large brands, SEO Agencies.
• Typical Scenario: A brand manager opens the Omnia dashboard in the morning, sees a competitor was cited 3 times yesterday in a Perplexity category query while they were cited 0 times, clicks on the action advice, and sees a recommendation to get a review article published on TechCrunch.

Feature Breakdown

Competitor Comparison

Key Takeaways

1. "Dashboard to Done" Philosophy: Don't just provide data; provide actionable steps—this mindset applies to all data tools.
2. AEO vs SEO Gap: Use data to prove that "Ranking well on Google doesn't equal an AI recommendation." This is a powerful narrative.
3. Early Social Proof: They landed big names like ElevenLabs and Trade Republic even in the pre-seed stage.

For Tech Bloggers

Founder Story

Daniel Espejo, a Spaniard, rose from Product Manager to GM of Spain/Portugal at Klarna, scaling the team to 200+ employees and 5M customers. After leaving Klarna, he teamed up with former GitHub engineer Miguel Fernandez with just an idea and two laptops. Within 9 months, they turned a 2-page memo into a company with €3.5M in funding.

After posting about the project on LinkedIn, he received a flood of inquiries and meeting requests within hours. In his words: "AI assistants are becoming the front door to the internet." The market demand for this solution is real.

That 2-page funding memo was even featured in a dedicated report titled "The 2-pager Ex-Klarna founder used to raise $3.5M from the investors behind Lovable, n8n, and Miro."

Controversies / Discussion Angles

• Is AEO the new SEO, or a flash in the pan? AI search traffic currently only accounts for 1.08% of total web traffic—is it worth a dedicated tool? But the growth is explosive, and conversion rates are 4.4x higher than traditional search.
• Can AI search actually be "optimized"? SEO works because Google's rules are relatively stable, but AI citation logic is opaque and changes constantly.
• The 2026 GEO Gold Rush: With $77M+ pouring into this space in 2024-2025 and 27+ tools competing, will most of them be gone in 2 years?

Hype Data

• PH Ranking: 14 votes (Low, but doesn't reflect product quality).
• Funding: €3.5M pre-seed, led by Visionaries Club.
• Clients: 10+ brand clients (including unicorns like ElevenLabs and Trade Republic).
• Search Trends: The GEO sector is at the very beginning of an explosion.

Content Suggestions

• The "Hook" Angle: "Is Google SEO Dying? This tool focuses exclusively on AI search rankings."
• Trend Analysis: Combine with Gartner's "25% drop in traditional search by 2026" prediction for an analytical piece.
• Tutorial Style: How to do it without Omnia—a manual guide to checking your brand's performance in AI search.

For Early Adopters

Pricing Analysis

Opaque pricing is a downside. Competitors like Otterly ($29+) and Profound ($499+) have clear pricing on their sites.

Getting Started Guide

• Setup Time: Roughly 30 minutes to register and configure keywords.
• Learning Curve: Moderate—requires understanding AEO concepts (but if you know SEO, you'll pick it up fast).
• Steps:
  1. Sign up for the 14-day free trial at useomnia.com.
  2. Enter your brand name and industry keywords.
  3. Set up the competitors you want to monitor.
  4. Wait 24 hours for the first batch of tracking data.
  5. Review the Action Roadmap and start optimizing.

Pitfalls and Complaints

1. Opaque Pricing: You only find out the cost after the trial, which isn't great for teams with tight budgets.
2. Product is very new: Founded in 2025; long-term stability and feature iteration speed are unknown.
3. Zero independent reviews: You won't find real user discussions on Reddit or Twitter yet; you'll be among the first "guinea pigs."
4. Diagnosis only: It tells you "you're invisible in AI search," but content creation and authority building still require manual work.

Security and Privacy

• Data Storage: Cloud-based SaaS.
• Company Registration: Spain (Omnia Agents SL), protected by GDPR.
• Security Audit: Not publicly disclosed.

Alternatives

For Investors

Market Analysis

• Sector Size: GEO market currently $848-886M, projected to reach $110B by 2032.
• Growth Rate: 182% YoY.
• AI Marketing Total Addressable Market: $20.4B (2024) -> $82.2B (2030), CAGR 25%.
• Drivers:
  • Gartner's 25% traditional search drop prediction.
  • 58% of consumers relying on AI for product recommendations.
  • AI search traffic conversion rates 4.4x higher than traditional search.
  • ChatGPT processing 2.5 billion prompts daily.

Competitive Landscape

In 2024-2025, the sector attracted $77M+ in funding with 27+ tools competing. The market is far from consolidated.

Timing Analysis

• Why Now: AI search has just become a mainstream channel (ChatGPT has hundreds of millions of monthly users), but 80% of companies haven't started tracking AI brand mentions yet.
• Tech Maturity: AI engine APIs are available and tracking is feasible, though the stochastic nature of AI answers makes optimization results harder to guarantee than traditional SEO.
• Market Readiness: High—brands are already asking, "How do we look in ChatGPT?" The demand is real.

Team Background

• CEO Daniel Espejo: Former Klarna Spain GM (scaled to 200+ staff and 5M customers), VC Scout, and University Professor.
• CTO Miguel Fernandez: Former Platform Engineer at GitHub and Fastly.
• Team Size: Early stage, specific headcount not disclosed.

Funding Status

• Raised: €3.5M pre-seed (approx. $3.8M).
• Lead Investor: Visionaries Club.
• Follow-on Investors: KFund, Baobab Ventures.
• Angel Investors: Carles Reina (ElevenLabs), Paulo Rodriguez (Vanta), Hugo Arévalo (ThePower).
• Valuation: Not disclosed.

Conclusion

Omnia hits a real pain point: AI search is reshaping how brands are discovered, but the vast majority of companies have no strategy for it yet.

The product itself is very early—low PH votes, opaque pricing, and no independent reviews. However, the founder background (Klarna GM + GitHub Engineer) and the client list (ElevenLabs, Trade Republic, etc.) suggest this is a serious contender. The GEO sector itself is worth watching: a $110B potential market, 182% growth, and 80% of companies yet to enter.

Resource Links

2026-02-18 | Trend-Tracker v7.3