AI Visibility — Perception & Sentiment

anthropic.com — loved everywhere it appears, but named late and half as often
measured · Jun 2026
Eight tools — the full AI-Visibility suite ↗
01

Loved, not chosen — and named late

02

SoV × Sentiment × Position — the whole story

Semrush · ChatGPT platform

03

Average position — cited second

Average mention position — lower is better
04

Competitive perception by platform

Positive perception share

05

Overall sentiment + per-brand share

Overall sentiment

Semrush · donut

Positive perception — the trust ladder

06

Controlled lens — sentiment when mentioned, per engine

07

Reach, not perception — discussed 55×, cited 8×

08

Sentiment by capability — strength vs the one soft spot

% Favorable by capability

Strengths — what the narrative finds
    Improvements — what tempers the advantage

      Both grids are legible in the Semrush teardown (§6). The per-prose-row mention counts in the strength/improvement lists are NOT_COLLECTED — shown as bullets, never as guessed integers.

      09

      Perception vs Reality — fix narrative, ship product

      Perception — influenceable

      reframe & prove

      Reality — structural

      ship product
      10

      The questions behind the doubt

      11

      Word association — known, but on whose terms

      First-position terms, per engine — literal queries where Anthropic is first-named brand (OURS, node-recomputed)
      Cross-engine frequency cloud — weighted by # engines sharing the topic (Evertune-grade)
      12

      Factual-accuracy ledger — beyond polarity, to truth

      Engine / SourceClaim madeTruthTypeSource

      13

      The plays — opportunities, badges, drop-in fix

      Critical sentiment-shift badges — Semrush insights rail, verbatim

      Drop-in fix — the Bliss wedge

      OURS · deployable

      Bliss Optimizer · AI Visibility · Perception & Sentiment