AI accelerates the analysis. A human signs the verdict.
Our name is no accident: we apply the neuroscience of trust as a reading grid for EEAT signals. AI runs the analysis at scale; a senior consultant validates every verdict.
The human always stays at the center.
Artificial intelligence speeds up the analysis of all 72 signals, but it never publishes on its own. Every generated report is reviewed and validated by a senior consultant before delivery, to guarantee the accuracy of the scores and the depth of the sources considered.
Verified accuracy
Every score and recommendation is checked manually to rule out errors and AI artifacts before delivery.
Depth of sources
An expert ensures every relevant source has been explored and weighted, beyond what automation captures alone.
From raw data to an EEAT score.
- 01
AI analysis
State-of-the-art language models, configured signal by signal to score all 72 EEAT markers on your actual content.
- 02
Semantic mapping
Contextual analysis to detect markers of expertise and authority within content.
- 03
Sector benchmark
Comparison against your niche leaders and our base of past analyses to calibrate scoring.
- 04
Human validation
A feedback loop with senior consultants to refine the models.
Triangulated data.
Our analyses cross-reference signals from Google Search Console, Ahrefs, Moz, SEMrush, Common Crawl, Wikidata and our own crawls.
The final scoring is calibrated on the latest (2025) Search Quality Evaluator Guidelines, with increased weight on the Trust dimension, now the central pillar.