Traceability
Every score should point to sampled answers, sources, and a timestamp.
About
Evidence-first GEO for the AI search era.
Glaruno is an independent product for teams that need to understand how AI assistants describe their brand—and want a defensible record of what changed.
Why Glaruno exists
AI answers are becoming part of the buying journey.
Buyers increasingly ask an assistant for a shortlist, a comparison, or a recommendation. Those answers are synthesized, variable, and difficult to audit. Glaruno was built to make that surface measurable without pretending it is deterministic.
We combine structured prompt sampling, source analysis, entity checks, and content planning in one workflow. The product does not treat an AI answer as a verdict. It treats the answer as evidence to be recorded, compared, and improved.
That is why the platform keeps the exact answer, engine, timestamp, and source trail alongside an aggregate score. A report should make it possible to ask, “Why do we believe this?”
What we will not do
- Publish client logos without written permission.
- Invent customer results or industry statistics.
- Promise a recommendation, ranking, or placement.
- Turn an unavailable source into a score of zero.
Principles
A smaller set of claims, defended properly.
The product is designed around four operating principles.
Consistency
Brand facts should agree across the website, profiles, and generated answers.
Usefulness
Content should answer a real question, not repeat a category keyword.
Boundaries
Unknown evidence is reported as unknown; model behavior is not treated as brand truth.
Editorial standard
Research notes, not marketing claims.
Our public guides are written for operators who need definitions and methods they can test. Articles are published under Glaruno Research with the most recent update date. We avoid unnamed statistics and unsupported case studies.
What you can verify
Definitions, sampling logic, metric boundaries, and product behavior are described directly. External references are linked when they are used.
What remains pending
Independent editorial review, customer case studies, and third-party benchmarks will only be published when the evidence and permissions exist.
Who it is for
Teams that need a defensible baseline.
Glaruno is built for in-house marketing teams, GEO and SEO agencies, and founders entering a category where buyers ask AI assistants for recommendations.
Measure your brand in AI search
Start with a baseline. See the exact answers, sources, and gaps before you change content.