re:score — Digital Visibility OS
re:score (re-score.app) measures how discoverable your business is to the
systems that now decide what people see — classical search engines, local data providers,
large language models, AI assistants, and the recommendation platforms downstream of them.
It returns a single composite score from 0 to 100, a per-layer breakdown, and a prioritised
action queue ranked by expected score lift.
Because in the age of AI, the question is no longer “Can people find us?” but
“Can AI find us, understand us, trust us, and recommend us?” re:score turns that question
into a measurable surface: Visible → Understood → Trusted → Recommended.
The six layers we score
- Search presence — title, meta, headings, canonical, and crawlability fundamentals.
- Business identity — structured NAP, LocalBusiness/Organization schema, completeness.
- AI interpretation — JSON-LD, FAQ and entity schema that let LLMs parse your offer.
- Content strength — depth, structure, and topical authority on key pages.
- Online reach — sameAs identity links, social coverage, and cross-platform consistency.
- Brand trust — analytics maturity, press and media signals, social proof, and brand clarity.
Who it's for
B2B teams — marketing, growth, medical affairs, and commercial excellence — who need to know how
AI systems perceive their company before buyers do. The organizations that establish digital
authority today compound their visibility tomorrow.
How it works
Submit a URL. re:score fetches the public HTML and structured data, runs a deterministic six-layer
rule set, and computes the composite. The dashboard surfaces the score, an executive summary, a
maturity map, and the prioritised actions. Pro plans add brand-wide audits across regional domains,
a daily drift monitor, the entity generator, and Due Diligence Intelligence.
Start measuring
Read our perspective, “AI Can’t Recommend What It Can’t See”,
explore the press & media page, and see
pricing.
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