Platform

The truth layer for AI visibility.

Eleven modules across one closed loop — measure, diagnose, act, prove. Built to current AEO/GEO best practice and aligned to Google’s latest spam policies.

01 The closed loop

One loop: measure, diagnose, act, prove.

The lead module at each stage — the full set is below.

01 · Measure

AI Visibility

Coverage, citation rate, share of voice, average ranking — per engine, over time.

02 · Diagnose

Brand Intelligence

Perception, fact-check / hallucination, entity graph, gap analysis.

03 · Act

Action Center

llms.txt & schema generators, content optimisation, new content.

04 · Prove

Site Traffic

AI-referred sessions and downstream engagement, tied to the work.

Zicy AI Visibility dashboard with mention coverage, citation rate, share of voice and average ranking, plus a five-week performance trend.
AI Visibility — coverage, share of voice, ranking, radar across every engine.
Zicy Brand Intelligence report showing how AI perceives the brand, an AI Reality Score fact-check, and the entity graph.
Brand Intelligence — perception, AI Reality Score, and the entity graph.
Zicy Citation Analysis showing narrative control, hijack rate and leaked rate, with a breakdown of owned, earned, competitor and uncited sources.
Citation Analysis — narrative control, hijack and leaked rates.
Zicy Action Center with the llms.txt generator, schema generator and content optimisation tools.
Action Center — llms.txt + schema generators, content tooling.
02 The module set

Eleven modules, grouped by loop stage.

The whole platform, organised the way the work actually runs.

Measure
  • AI VisibilityThe core scoreboard: coverage, citation rate, share of voice, average ranking, per-platform radar and trend.
  • Competitive AI PerformanceYour standing against named competitors, side by side.
Diagnose
  • Brand IntelligencePerception, fact-check / hallucination (AI Reality Score), entity graph, prioritised action plan.
  • Brand SentimentThe language AI attaches to you, and the descriptors driving it.
  • Competitor Sentiment ProfilesHow AI frames each rival, positive to negative.
  • Key Topics AnalysisWhere you lead, where you’re in a fight, and where you’re invisible.
  • Citation AnalysisNarrative control and competitor share: which sources AI cites about you, owned vs. earned vs. competitor vs. uncited.
  • Site AuditTechnical readiness: llms.txt, AI-bot access, schema, page health.
  • Visibility GapsThe prioritised list of what to fix and what to publish.
Act
  • Action Centerllms.txt generator, schema generator, content optimisation, new-content writing.
Prove
  • Site TrafficGA4 / Search Console / AI bot logs, answer-intent and brand queries, and the link between AI visibility and demand.
03 The differentiator

Competitors measure. Zicy proves.

The truth layer isn’t another metric — it’s the fact-check. Zicy flags where AI is wrong about you, not just whether you’re mentioned.

Truth, not just mentions

The AI Reality Score catches hallucinations and outdated facts before your buyers see them.

Every engine, every language

APAC-native coverage most US-built tools can’t match.

Act inside the tool

Remediation and content tooling built to current best practice, with no hand-off gap.

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