Does the internet understand your company?
See how accurately and completely your company is represented across websites, search, directories and AI, and where relevant information is missing.
Score first. Identity second. No email, no sign-up.
Your company has three realities
What is actually true
Who you are, what you sell, who leads you, who you serve. Confirmed by the people who know.
What you say about yourself
Your website, your profiles, your press. Often right. Sometimes where an error starts.
What everyone else understands
The wider web, search engines and AI systems, and what they repeat when someone asks.
The closer these realities align, the stronger your Digital Reality Score.
Learn about the Digital Reality GapFrom claims to a Score
A Score is built from specific, checkable facts about the company, never from impressions. Each claim is compared across the sources people and machines actually rely on.
- 01We read what you say about yourself
Your website, newsroom and company profiles: the Stated Reality.
- 02We compare it with independent evidence
Registries, reference works, databases, directories and press.
- 03We inspect how search and AI represent you
Search results, knowledge panels and answers from AI assistants.
- 04We establish what is true
From independent evidence only. Copies count once. AI answers never count as proof.
- 05We calculate your Score
How likely what people encounter is accurate, published with Evidence Coverage.
Accurate, complete and present where it matters
Your Digital Reality Score combines accuracy, completeness and presence across the sources assessed. Accuracy: is what sources show right and current? Completeness: are the facts that apply to you stated where people and machines look? Presence: are you on the sources that apply to your category and market? Each is shown beside the Score, with Evidence Coverage: how much could be checked. DRS observes a defined set of public surfaces; it cannot see inside an AI model or assess the whole internet. Six diagnostics show where Accuracy comes from.
Probability that a source, any source, represents each claim correctly, with every source counted equally. The Score weights the same thing by exposure.
Whether sources tell the same story as each other. Diagnostic only: sources can agree on something wrong, so agreement never raises the Score.
How many independent origins corroborate each claim. Copies of the same source count once. Two independent origins count as sufficient.
The standing of the strongest independent source supporting each claim. Registries and reference works rank above directories.
The share of surfaces checked that pass: crawler access, each AI assistant asked, partners’ own sites, the knowledge graph, the company’s own site and search. Partial counts half; a surface not checked is left out. Preliminary: every surface counts equally until calibration. Never part of the Score.
Probability that search results, knowledge panels and AI answers represent each claim correctly, weighted by exposure.
Each claim ends in one of three states: Aligned, Gap or Unresolved. Unknown is never treated as wrong, and agreement between sources is never treated as proof. Read the methodology
Buyers, search engines and AI decide from what they can find
- Customers should find the company you actually built.
- Your brand should be associated with the right category.
- Important company facts should be accurate: leadership, products, ownership, location.
- Search engines should understand what you offer, and to whom.
- AI assistants should describe the company correctly when someone asks.
- Company changes should propagate across the wider web, not stall at your own website.
Built on the Digital Reality Gap framework
The Digital Reality Gap is the open framework for how a company is represented across its own information, the wider web, search and AI. The Score is its measurement. The framework explains why the realities diverge and how gaps close.