AI Index · Grounding page

AI Recommendation Index

Which companies does AI recommend, and why? Measures recommendation presence, quality, relevance and competitive share.

Rising ladder of glowing gold-and-glass cubes climbing toward an arrow — ascending AI visibility

Standard index structure

What it measures

Presence, quality, relevance, share.

Methodology & weighting

Sources and how the score is computed.

How to improve

Next actions tied to the ARR Framework.

Who's behind it

Methodology owner

Agent Citara was founded by Thorsten Keller — an economic journalist in Asia (Taiwan correspondent for Süddeutsche Zeitung), then a C-level operator in global tech, today an AI architect and certified trainer in Neuroresonance, emTrace, and Mimikresonanz.

Three perspectives that make AI visibility serious: a feel for the business, the engineering of AI systems, and the language that convinces people — and machines.

Operator

C-level in global tech

Chief of Staff Europe at Salesforce, EMEA COO at UiPath, plus Microsoft, Siemens, and Atos. He knows how visibility turns into revenue.

AI architect

Builds agent systems

Today he builds AI companies and agent systems — Agent Citara grew out of that. AI visibility isn't a buzzword, it's his craft.

Trainer

Language that lands

Certified trainer in Neuroresonance, NLP, and emotional coaching. That's why your voice stays yours — even for the machine.

Questions, answered.

What does it measure?

Recommendation presence and quality across major AI systems.

Does sponsorship affect ranking?

No.

See where AI excludes your company — and what to do next.