You know your brand is invisible in AI answers. You just don't know which content to fix first. Knowatoa shows you where you're missing - Omnia shows you where you're missing, why, and what to publish next. If you need a dashboard, either tool works. If you need an execution engine, keep reading.
Trusted by teams building AI visibility across Europe
Both track AI visibility. The difference is how often, how deep, and what you get when the data comes back.
Omnia covers extensively four engines where buying decisions are made. Real browser sessions. Actual geographic locations. Citation data down to the URL. And an action layer that converts every gap into something your team can ship.
Tracking tools show you a score. Omnia shows you the source. Every citation tracked to URL level, classified by page type, owned, third-party, or social. Then it reverse-engineers the pattern into a content brief, a placement target, and a task list your team can execute this week.
Citations shift when new content is indexed, when competitors publish, and when models update. Omnia captures those changes that same day.
Content briefs, outreach targets, and week-by-week task lists built from citation data so your team can plan and execute quickly.
Every source AI engines reference is tracked to the exact URL — yours, a competitor's, or a third-party domain you should be targeting for placements.
Every query runs through a real browser session in an actual geographic location. The same prompt from New York and Madrid returns different recommendations. With Omnia, you can capture both.
Both Omnia and Knowatoa help brands track AI visibility. The deciding factor is what happens after you see the data. If your team has the bandwidth to manually translate dashboards into action plans, a monitoring tool may be enough. If you need the platform itself to bridge the gap between insight and execution, that's a different requirement.
You're tired of dashboards that show problems but never suggest fixes.You need a prioritized content roadmap, not just a list of prompts where you're invisible.You're building an AI visibility strategy that connects to real content workflows via MCP.You need citation-level attribution to understand which specific pages earn AI references.You want sentiment analysis, daily monitoring, and an execution layer in one plan starting at €79/mo.Teams at Iberia Cards, The Power MBA, and INDYA use Omnia to track AI visibility across markets — not just monitor it
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You need to track visibility across 7 AI engines, including Meta AI and Claude, and breadth of coverage is your top priority.You're in the early stages of AI visibility exploration and want a lower entry point at $59/mo.You're interested in experimenting with AI-assisted content drafting through their Sam and Connie agents (currently in beta).You prefer unlimited seats and sites on all plans for broad team access.
More engines sounds better - until you look at how the data is captured. Omnia runs real browser sessions across ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode. These are the four engines Omnia's monitoring is built around - the AI discovery surfaces where Omnia concentrates its monitoring depth. Every query executes in context - the right location, the right language, the right device profile - so the visibility data reflects what your audience actually encounters. Knowatoa covers 7 engines using its own query methodology - the specifics of how each engine is queried are not publicly documented in the same detail. Additional engines - Claude, Gemini, and CoPilot - are available as add-ons when your strategy requires them. You scale coverage as your needs grow, without paying for engines that don't move the needle yet.
Omnia focuses on ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode - the four engines where Omnia concentrates its monitoring depth. If your strategy requires Claude, Gemini, or CoPilot, those are available as add-ons. The trade-off isn't fewer engines vs more. It's whether you want broad coverage with monitoring, or focused coverage with an execution layer built in.
Knowatoa's Sam and Connie agents are a creative approach to bridging monitoring and content creation, and they're worth watching. They're currently in beta, and they focus on content drafting - researching gaps and generating article drafts. Omnia's execution layer is different: it generates a prioritized roadmap of content actions tied directly to your visibility data, citation gaps, and competitive positioning. One drafts content. The other tells you which content to prioritize and why.
Omnia starts at €79/mo with 4 core engines, daily monitoring, sentiment analysis, citation intelligence, and the execution roadmap included. Knowatoa's Starter plan is $59/mo but covers only 3 engines and doesn't include an execution layer. Their Growth plan at $199/mo adds 7 engines and API access. The right comparison depends on whether you're comparing entry price or total value at the tier you'd actually use.
Yes. Omnia's MCP connector integrates with your content tools so visibility insights and action items flow into the workflows your team already uses. Knowatoa also has an MCP server, but it's designed for querying data from AI assistants, not for pushing recommendations into content execution workflows.
Yes. Omnia tracks share of voice against your competitors, identifies which content earns their citations, and factors competitor positioning into your execution roadmap. The goal isn't just to see where competitors appear - it's to understand why they appear and what content you need to close the gap.
Omnia is built for marketing and SEO professionals who need to move fast without deep technical resources. The UI is designed for non-technical users, and the execution roadmap eliminates the manual analysis step that typically requires a dedicated strategist. If anything, smaller teams benefit more from a platform that tells you what to do next, not just what happened.
