See exactly what an AI Visibility report looks like

Executive verdict

Noor Cosmetics appears in some AI answers (43/100) but not consistently. There is clear room to lift coverage on weaker engines and close the gap with the category leader.

Visibility scorecard

Language & market split

Competitor share of voice

Category leader: Huda Beauty · Recommendation deficit: 9 pts behind.

Competitors AI mentioned

Rival brands the AI named in answers that are not yet tracked — candidates to add.

Prompt-cluster wins & losses

Citation & source analysis

Owned: 1 · Third-party / earned: 8

AI reputation & accuracy risks

Risk level: Medium · 46 answers checked

• Outdated locationGemini

  Gemini lists a mall branch that closed in 2024 as if it is still open.

• Price confusionPerplexity

  Perplexity quotes a competitor's price range for your hero foundation.

Technical AEO / GEO audit

• ✓AI crawlers can reach the site — GPTBot, ClaudeBot and PerplexityBot are all allowed in robots.txt — AI engines can read your pages.
• •Schema partially present — Organization and Product schema are present, but FAQ and Review schema are missing on key product pages.
• •No llms.txt found — There is no llms.txt, so AI engines have no curated guide to your best pages and offers.

Entity & Knowledge-Graph

Wikidata: missing · Wikipedia EN: missing · Wikipedia AR: missing · 3 authoritative links

• •No Wikidata entity — The brand has no Wikidata item, a primary signal AI models use to confirm an entity exists and is notable.
• •No Wikipedia page — No English or Arabic Wikipedia page was found — building one of the two strengthens entity confidence.
• ✓Authoritative profiles linked — 3 authoritative sameAs links (Instagram, LinkedIn, Crunchbase) were detected.

Dialect visibility — the Arabic moat

Brand coverage when buyers ask in each Arabic dialect cohort.

• •Gulf-dialect blind spot — When buyers ask in Khaleeji phrasing you appear in only 13% of answers, vs 40% in Modern Standard Arabic — the same brand, a very different result.

Shopping intelligence

How often AI recommends you at purchase intent ("best X to buy", "where to buy X"), plus the brands and retailers it points buyers to.

• •Under-recommended at purchase intent — For "best X to buy" prompts, AI recommends two competitors before it mentions you.

Content & authority gap map

Completed work & proof

No completed items yet — the first cycle’s work begins from this plan.

This month’s action plan

Each cycle includes fresh monitoring, diagnosis, and a new prioritized action plan from the latest AI data. The full plan unlocks while your plan is active.

Next month & renewal

AI visibility compounds over 3–6 months. Next cycle re-measures across all engines, proves what moved, and issues a fresh prioritized plan — keeping momentum on the high-priority items above.

Methodology & expectations

Visibility is measured by running your approved buyer questions across live AI engines (ChatGPT, Gemini, Perplexity) in English and Arabic, then scoring mention rate, recommendation prominence, citation strength and competitive share of voice. Results vary run-to-run as models update; we track the trend, not a single snapshot. AI visibility typically takes 3–6 months to improve and must be maintained all year.

Revenue at risk (modeled) — Model: monthly buyers × average value × conversion × missed-visibility share.

Evidence appendix

Real excerpts from the AI answers sampled this cycle.