Later scores 66.4/100 (Grade C, Legacy Mode) — the lowest composite audited in this database so far. No single dimension is catastrophic; the score is instead a case study in how structural gaps compound. Entity Recognition (35, Grade D) is the worst score of any dimension audited to date, driven by a maximally generic brand name with zero chance of a dedicated Wikidata entry. Brand Clarity (58, Grade C) reflects two rebrands in four years, including a live inconsistency between how the company and outside press each describe the direction of its 2022 merger with Mavrck. Trust Signals (66, Grade C) inherits some of that same ambiguity. Recency & Freshness (84) and Content Depth (78) are both genuinely solid — this is an active, well-resourced company with real scale (7M+ claimed users) — but the identity layer beneath the product is the weakest audited in this batch.
Later scores 66.4/100 on the IdeaLab AI Visibility OS v1.1 framework — Grade C, Legacy Mode. Its strongest dimension is D6 Recency & Freshness (84/100); its weakest is D3 Entity Recognition (35/100), the lowest single-dimension score in the IdeaLab database.
"Later" is one of the most common words in English, and the Wikidata item for the string (Q6495511) resolves to a disambiguation page rather than a company entity. No dedicated Wikipedia page was found under Later, Latergramme, or Mavrck, and Crunchbase still files the company under its legacy Latergramme slug — so AI systems have no stable anchor for the brand.
Sources conflict. TechCrunch's 2022 headline recorded the deal as "Mavrck raises $135M, buys Linkin.bio maker Later," while Later's own LinkedIn and Crunchbase pages describe Mavrck being folded into Later as "Later Influence." This unresolved contradiction is the single largest driver of Later's 58/100 Brand Clarity score.
No. An llms.txt file was not confirmed at later.com/llms.txt in this audit round, which contributes to the D6 Recency & Freshness gap despite an otherwise strong publishing cadence.
Resolving the entity layer: establish a disambiguated Wikidata item and Wikipedia entry under a distinctive legal name, align the corporate-structure narrative across Crunchbase, LinkedIn, PitchBook and press, and publish llms.txt plus Organization JSON-LD on later.com. Those fixes alone are estimated at +18 points on D3 and +10 on D1.
Every recommendation in this database is sourced from a real, dated audit — including the gaps, not just the wins.
Closest matches by category, keyword overlap, and AI Visibility Score — all scored on the same 7-dimension framework.