Brand visibility
How often the brand appears across the defined question set and engines.
Platform
Each module answers a different question: what do AI assistants say, why might they say it, what should be fixed, and how do we prove that the change happened?
01 · Visibility
Structured prompt sets are sampled across supported engines, with repeat runs to reduce the noise of a single answer.
Glaruno records whether the brand is named, whether it is included in a recommendation set, and which competitors share the answer. Results are tied to the prompt, engine, region, and sampling time.
One generated response is not a market baseline. Model version, prompt wording, region, and randomness all matter. The platform keeps the sampling method visible so a number is never detached from its evidence.
02 · Diagnostic
A diagnostic is useful only when it distinguishes a weak signal from an unknown signal. Glaruno separates brand facts, authoritative sources, content structure, and model observations.
How often the brand appears across the defined question set and engines.
Where the brand appears in a recommendation list, not just whether it is mentioned.
Which external sources support the brand facts, and which facts lack a source.
Whether the brand is described consistently across answers and sources.
Whether the site contains useful, specific, and extractable answers for the target questions.
Whether the report can be traced back to sampled answers, timestamps, and methodology.
03 · Sources
The source layer shows which domains and pages are referenced, where the brand is absent, and where a claim needs a stronger public record.
Group the sources that appear across answers so teams can prioritise outreach, documentation, and content updates.
Flag claims that are not supported by the brand site, a structured profile, or a credible third-party reference.
04 · Content
Content briefs are generated from the gaps, not from a generic keyword list. The platform also checks whether a draft is specific, structured, and useful enough to be quoted.
05 · Monitoring
Each run stores the exact prompt, engine, response, timestamp, and evidence. A change is only meaningful when the comparison uses the same measurement frame.
Review changes over time, export the evidence, and keep a record of what was measured.
Selected brand assets can be sealed into a SHA-256 hash chain for later verification.
Boundaries
Clear boundaries make the measurement more useful, not less.
Questions
It can separate several likely causes: no mention in the sampled answers, no supporting source, inconsistent entity facts, weak content coverage, or inaccessible pages. It will not invent a cause when the evidence is insufficient.
No. GEO adds a new measurement layer. Technical SEO, crawlability, and useful content remain foundations; Glaruno focuses on how those assets show up in AI-generated answers.
Yes. Reports keep sampled answers, sources, scores, timestamps, and methodology notes so they can be reviewed or stored as evidence.
Start with a baseline. See the exact answers, sources, and gaps before you change content.