Dageno AI
Become the brand AI answers recommend across 7+ major LLMs.
1K followers
Become the brand AI answers recommend across 7+ major LLMs.
1K followers
Dageno AI is a GEO data and agent platform that helps you understand and improve how AI systems represent your brand. It brings together signals from your site, traffic, prompts, social, and mentions to uncover AI visibility gaps—and shows you exactly what to fix across content, sources, and workflows. Go beyond insights with agent-powered execution. Automate improvements, track progress over time, and turn AI visibility into real growth. Free trial. No credit card required.
This is the 5th launch from Dageno AI. View more
Dageno AI 2.0
Launched this week
AI is now choosing brands for your customers. Dageno AI is an AEO/GEO platform that shows whether ChatGPT, Gemini, Perplexity and 7 more AI models recommend you or your competitors, and which sources drive those answers.
Look up any market for free, forever: see top brands, buyer questions and cited sources across 12,000+ niche markets and 3M+ brands. Upgrade only when you need to track your own prompts. Built for brands and agencies.
Launch Team
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Promoted
Congrats on the 2.0 launch! Starting from "who does AI recommend in my market and which sources does it cite" instead of just "does AI mention me" is the right order. The free market lookup across niches is a nice touch too. Curious how often the visibility data refreshes as models update?
@suryansh_chaudhary Thanks, Suryansh! We collect new AI answers daily across nine major AI platforms and major countries and regions worldwide. Free market lookup shows the latest available data, with original answers and collection dates so you can follow changes over time.
For teams managing multiple brands, you can configure a different mix of platforms and regions for each brand. All nine standard platforms and supported regions are included across our paid plans, so you don’t need to upgrade just to unlock a particular platform or country.
congrats on the launch tim. the first question i would ask is which tools the ai recommends in our category and why it picks them over us. do you show which pages the answer cites, so we know what to fix first?
@agshin_rajabov Absolutely! This is exactly the kind of problem we built Dageno to help teams solve.
With Dageno, you can approach this from several angles:
First, see who AI is actually recommending. Through brand performance data and original AI responses, you can identify which brands or tools appear in relevant answers and what reasons AI gives for recommending them.
Second, see which pages AI is citing. Features like Top Cited Sources, Top Cited Pages, and Competitor Citations help you identify the domains, specific URLs, and competitor content being referenced.
Third, uncover citation gaps. Citation Gaps helps you discover sources worth investigating further, while Ghost Citations identifies cases where AI cites your website without actually mentioning your brand.
Fourth, verify everything against the original AI responses. You can use Source Answer and Related Citation Analysis to connect specific prompts, recommendations, and cited sources, rather than relying on a single visibility score.
Ultimately, we want to help you answer three questions: Which questions are giving your competitors visibility? Which pages are associated with those answers? And what information or content might you be missing?
That way, your team can make informed decisions about whether to prioritize updating product pages, creating comparison content, or strengthening your presence on third-party sites, instead of blindly publishing more articles.
thanks tim, citation gaps is where i would start. knowing which pages the answer cites tells me what copy to fix first, instead of just writing more articles
Being able to open the raw AI answer and its cited page is the useful part for me. Keeping the model, market and date beside it would make comparisons over time easier to judge.
@oleksii_sekundant In Dageno, we link each original AI response and its cited URLs to the corresponding model, market, region, and collection timestamp.
This means you can not only see exactly what AI recommended and which pages it cited at a given point in time, but also use that context to compare results across different models and time periods, tracking changes in brand visibility, recommendations, and citation sources.
We've always believed that AI visibility analysis shouldn't just be about displaying a score that changes over time. What's more important is giving users the ability to go back to the original evidence and understand what's actually behind those changes.
When data is traceable, changes become understandable.
What I find compelling here is the shift in AI role moving beyond mere observation toward taking actionable steps based on the insights gained. While it is certainly important to understand why ChatGPT recommends specific competitors, the real opportunity lies in leveraging those insights to drive tangible, visible improvements.
Really interesting to see the citation data. Rajat's question about Reddit was mine too. I work with local businesses (salons, restaurants, clinics) and I'm curious: for "best X near me" type questions, how often do Google Business Profile pages and reviews show up as cited sources compared to Yelp or directories? Do you see any link between review volume or owner replies and which local business gets recommended?