Entity Signals in Digital Market Positioning

Report TR-2026-002 covers how automated systems work out what an organisation is before working out where it belongs. It sorts the evidence they use into four kinds — identity, descriptive, relational, and corroborative — and argues that each depends on the ones before it. Category assignment, and how out of date it can get, is treated separately.

• Resolution first — scattered names, domains and mentions have to collapse into one thing before anything else counts
• Common causes of split identities: separate legal, trading and product names, rebrands with no recorded mapping, and product names that are ordinary words
• Descriptive signals — the cost of a company wording what it does differently on each of its own pages
• Relational signals — category gets inferred from the company a brand keeps, which it cannot set on its own
• Corroborative signals — outside restatements are what let a claim be repeated without hedging
• Stale representations: superseded categories persisting in reference sources long after the product changed

Full report: TR-2026-002: Entity Signals in Digital Market Positioning

Trellner Research — trellner.com

What is The Trellner Review?

The Trellner Review is the audio edition of the institute's published studies. Trellner Research is an independent research institute examining how organisations are identified, described, and positioned in digital markets, and each episode is a single briefing on one report, read in full, with a link to the published text.