Overview
Dageno AI is an AI Search Intelligence Platform. It lets users enter a brand and choose a market to see what is changing and find a next growth move. The site states it has data across 12,000+ niche markets and 3,000,000+ brands, with results in 5 seconds. It is trusted by B2B SaaS, Retail & eCom, and Agencies. The platform starts with market position, the competitive landscape, Search Intents, citation sources, and search signals. It includes modules for brand position in the market, citation sources, demand and product opportunities, and organic search and traffic structure. It also covers AI Shopping and AI Ads. Dageno shows how a brand performs across real customer questions, explains what shapes AI answers, turns gaps into team actions, and retests the results. Its data foundation standardizes AI search data daily across models, markets, and channels, connecting answers, citations, products, ads, and search signals into one traceable foundation for market decisions. It reports 500M+ advertising data, 100M+ product data, 12K+ market segment data, and 10+ mainstream AI models, including ChatGPT, Gemini, Google AI Overview, Perplexity, and Grok. Pricing includes Starter, Growth, Scale, and Custom plans.
Pricing
Paid
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
Visit WebsitePrices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.
Use Cases
- Brand growth and SEO/GEO/AEO teams use Dageno to compare a brand's position, gap to the leader, and signals of change within the same market, model, region, and time range.
- Marketing teams use Dageno to trace insights back to cited domains, URLs, and original AI answers to see where stronger official content, third-party reviews, or channel coverage is needed.
- Teams use Dageno to explore demand scenarios, competitor selling points, and niche markets to find absent scenarios, losing selling points, and trailing categories.
- Teams use Dageno to compare traffic trends, geographic distribution, and traffic sources with competitors.
- E-commerce and Ads teams use Dageno to see which products appear in AI Shopping, why competitors get selected, and which product data to improve.
- Teams use Dageno to see what competitors are running in AI Ads, compare differences in selling points, and decide where budget should go.
- Agencies use Dageno to manage multiple brands or clients with API access, batch operations, and market reports.
- Teams use Dageno to monitor citation performance for published content.
Reviews
No reviews yet. Be the first to share your experience!
FAQ
How do I choose between Starter, Growth, and Scale?
Starter is for single-brand research, content monitoring, and reviewing original answers. Growth is for continuously finding issues and opportunities, viewing AI Shopping and Ads data, generating recurring reports, and accessing data through MCP. Scale is for managing multiple brands or clients, plus API access, batch configuration, and data exports.
Which AI platforms are included in standard plans? Is Amazon Alexa supported?
Standard plans include the 9 AI platforms and models listed on the page, with no separate charges by model or region. Amazon Alexa is available as a custom integration, with scope, data availability, monitoring approach, and delivery timeline assessed based on requirements.
How are tracked prompt limits calculated?
Monitoring the same prompt across different AI platforms / models and countries / regions counts separately toward usage. Actual usage depends on the final configuration, and the system shows estimated usage before saving so the scope can be confirmed.
Why is AI Shopping or AI Advertising data sometimes unavailable?
AI Shopping is available on Growth and higher plans; AI Advertising is available on Scale and higher plans. Their data depends on the selected platform, region, market, and whether product cards or ad placements appear in actual answers. No observed data does not mean the feature is malfunctioning or that the brand has no product or ad visibility across every AI experience.
What is the difference between MCP data access and the API?
Growth includes MCP data access, allowing external AI tools to query Dageno data within the authorized scope. Scale adds API access, batch configuration, and data exports. Both connect data to workflows; neither automatically modifies websites, publishes content, or performs optimizations.
When should I choose a custom plan?
Choose a custom plan when the team needs custom platforms such as Amazon Alexa, specialized data sources, SSO, higher brand or monitoring capacity, or support for enterprise procurement and delivery requirements. Scope and pricing are confirmed after a requirements assessment.