6/10
correct AI queries (vs 1/10)
90%
key schema.org coverage
23
entity facts fixed
All use cases
Use case
AI discoverability: making ChatGPT, Perplexity and Gemini know your brand
Challenge
A growing share of prospects no longer go through Google: they ask an AI agent, which only returns the brands it can identify as entities. Many businesses discover they are simply absent from those answers — or described incorrectly — while a competitor that got its entity signals right captures the channel. Monitoring tools hand over an "AI score" without saying why it is low or what to fix.
Approach
Digitalyser assesses how AI agents perceive and represent the brand, then ties that finding to concrete fixes: schema.org completeness (Organization, SameAs, FAQPage), entity status (Knowledge Graph, Wikidata), consistency of founding facts across platforms, and brand SERP quality. We frame the AI score as a trend with confidence bands — not a guaranteed position — and track how it moves after fixes.
What we strengthen
- ✓Schema.org markup: Organization, LocalBusiness, FAQPage, SameAs
- ✓Entity status: Knowledge Graph and Wikidata
- ✓Consistency of founding facts across platforms
- ✓Brand SERP quality and control
How do AI agents see your brand?
AI discoverability assessment and a remediation roadmap.
Typical targets (sector benchmarks)
1 / 10 → 6 / 10
AI queries where the brand is cited correctly
40% → 90%
Schema.org coverage of key types
23
Entity-fact inconsistencies fixed
2 → 7 results
Brand SERP quality (controlled entities)
2025-2026 sector benchmarks (Ahrefs, BrightLocal, PowerReviews, G2) · digitalyser.io target outcomes
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