Research and proprietary data

Use EraSO collection results to see how brands appear in AI answers

EraSO runs its own crawler daily. Every dataset states the latest stored batch, coverage, method, and limitations so the results can be interpreted and retested consistently.

Methodology

Start with the observation and verification method

See how fixed questions, entity facts, sources, asset changes, and retesting form one auditable loop.

Read the GEO method →
  1. 01 Define user-intent questions
  2. 02 Capture current answers and sources
  3. 03 Map entities and evidence gaps
  4. 04 Build inspectable assets
  5. 05 Retest the same question set
Dataset catalogue

EraSO proprietary rankings and source observations

EraSO proprietary collection system

EraSO Proprietary Brand GEO Ranking

Explore brand mentions, position, sentiment, and composite scores collected by EraSO across industries and AI platforms.

The current data covers nine industries and Doubao, DeepSeek, Tencent Yuanbao, and Qwen, supporting relative brand comparisons within the same period and question scope.

Open dataset →
EraSO proprietary collection system

EraSO Proprietary AI Reference Sources

Review source categories, domains, and aggregate shares recorded by EraSO proprietary AI citation collection.

The current aggregate results show a large share for official, independent, and vertical sites. Companies still need to evaluate source value using industry relevance, editorial rules, accessibility, and evidence quality.

Open dataset →

Start with evidence

See where your brand truly stands in the AI landscape

Share the essentials and receive an initial assessment focused on evidence, issues, and priorities.