01
Guides and Tutorials
Step-by-step materials for understanding AI visibility, Recommendation Authority, and answer-engine selection.
In development
Resources · Recommendation Authority
Resources for Understanding AI Recommendation Authority.
Guides, frameworks, case studies, and methodology documents for teams learning how AI answer engines access, extract, cite, and recommend brands.
02
Downloads
Free templates, tools, and reference assets for improving AI-readable brand signals.
In development
03
Case Studies
Real-world examples showing how authority signals, citations, and recommendation readiness move over time.
In development
04
Methodology & Frameworks
The public frameworks behind Salienci's measurement approach, including how Recommendation Authority is evaluated without exposing proprietary scoring logic.
1 published
Published
Methodology & Frameworks
Salienci publishes one methodology document today: the Salienci Score Measurement Methodology Overview, which explains what the score measures, how the Access, Extraction, and Selection layers are weighted at a conceptual level, and the limits of what any AI visibility measurement can claim. Further frameworks are published only once they are verified.
Published Methodology OverviewVersion 1.0 · July 27, 2026
The Salienci Score - Measurement Methodology
A public overview of what the Salienci Score measures, how outcomes are measured, how content quality is validated, and where the known limits are.
What each resource category is for
Each category answers a different question. Guides explain how AI recommendation works, downloads give you something to apply, case studies show measured movement once clients approve disclosure, and methodology documents explain how Salienci measures anything at all.
Guides and tutorials
Conceptual material for teams learning how answer engines access, extract, and select brands. Use these before commissioning work.
Downloads
Applied templates and reference assets for improving machine-readable brand signals. Published only when they are usable as-is.
Case studies
Named engagement outcomes. Published only where the result is verified and the client has approved disclosure.
Methodology and frameworks
How measurement works, what it does not measure, and where the limits are. This is the category to read before trusting any number on this site.
Categories marked in development contain no published material yet. Salienci does not publish placeholder resources to fill a page.
Which resource to read first
Start with the Salienci Score methodology. It defines what is measured, what is not, and how confidence is reported, which makes every other page on this site readable. Move to the framework and K-Matrix next, then request an audit when you want the measurement applied to your own domain.
01 · Methodology
Understand what the Salienci Score measures and its stated limits.
02 · AEO+ framework
See the four layers that determine whether a brand can be recommended.
03 · K-Matrix
Understand how findings are prioritised into a sequence of work.
04 · Authority Audit
Apply the measurement to your own domain and competitive set.
Salienci Score methodology · AEO+ framework · K-Matrix · How to read results · Request an Authority Audit
Related
Continue reading
These pages give the next layer of detail behind what you have just read.
Published · Last reviewed