The directory shows the current analysis scope; each project is configured around its target markets, languages, and business questions.
DAGENO / MODEL DIRECTORY
AI models and monitoring coverage supported by Dageno
Explore dedicated pages for ChatGPT, Perplexity, Google Gemini, Mistral (Le Chat), Google AI Overview, Google AI Mode, Grok, Dola (the international version of Doubao), Amazon Alexa, and Microsoft Copilot to understand market context, public usage signals, and Dageno’s brand monitoring coverage.
Current directory ·10 model entry points · Actual scope configured by project
ChatGPT01Perplexity02Google Gemini03Mistral（Le Chat）04Google AI Overview05Google AI Mode06Grok07Dola (international version of Doubao)08
Alexa for Shopping09Microsoft Copilot10
Alexa for Shopping09Microsoft Copilot10MODEL INDEX
Review brand performance and evidence by model
Explore observable data, suitable questions, and analytical boundaries by model, then enter the corresponding brand monitoring or market research product.
Metric definitions differ by product type: standalone chatbots useStatcounter global web share, while other products use downloads, monthly active users, daily active users, monthly reach, market coverage, or device base. Every card identifies its scope, date, and source. Different metrics can only explain each product’s market position and cannot be added together or ranked directly.
Define the business scope before choosing models
The number of models is not the goal. First determine where your audience asks questions, which languages they use, and which answers influence brand and purchase decisions.
- 01
Confirm target markets
Define countries or regions, languages, business questions, brands, and competitors to observe.
- 02
Choose model coverage
Select the AI models to sample and compare based on the audience and project requirements.
- 03
Explore product paths
Choose the relevant product based on brand monitoring or market research goals and confirm the demo scope.
DATA BOUNDARY
Cross-model comparisons need consistent conditions
The same model name does not mean different answer environments can be blended directly. Dageno retains sampling conditions so changes remain verifiable.Explore the model comparison methodology
Answer formats, visible sources, and regional availability can change, so comparisons must retain the sampling environment and time.
Model patterns are identified through continuous comparison of externally observable results and used for trend analysis, difference assessment, and opportunity prioritization.
FAQ
Model coverage FAQs
Model coverage is configured according to the target market, language, model availability, and research questions.
Which AI models does Dageno support?+
Dageno supports ChatGPT, Perplexity, Google Gemini, Mistral (Le Chat), Google AI Overview, Google AI Mode, Grok, Dola (the international version of Doubao), Amazon Alexa, and Microsoft Copilot. It can analyze brand mentions, recommendation context, citation sources, and competitive performance separately, with model, language, and regional coverage configured for the target market.
Does every project cover every model in the directory?+
The model directory shows the current analysis coverage. Each project selects specific models based on the target market, language, business questions, and model availability.
Can results from models in the directory be compared directly?+
They can be compared within a consistent research framework, but model, answer mode, region, language, sampling time, and other conditions must be retained. Dageno does not treat a single answer or one model’s results as representative of the entire AI search environment.