AI Visibility — Per-Engine

anthropic.com — you are not equally visible across the engines, or across the questions
measured · Jun 2026
Eight tools — the full AI-Visibility suite
01

The verdict — one brand, six very different engines

02

Who mentions you — share of all mentions

Distribution by LLM

Semrush · mentions

Cited pages tell a different story

03

The per-engine scorecard — every lens, one table

EngineMentionsCited pages6-moBliss probeVerdict

“Mentions” is Semrush’s share of all mentions; “Bliss probe” is our controlled 22-question replay with a 95% interval. A dash means that source doesn’t cover that engine — shown, never guessed.

04

Not a point — a range. The Wilson living interval, per engine

Controlled citation rate as floor → point → ceiling (95% CI)

OURS · n=22/engine

05

The other axis — you're not the same brand across questions

Citation rate by buyer intent — small-multiples, per engine

OURS · 32-question probe
06

The trap — you’re weakest where the traffic is

share of AI referral traffic vs your citation rate there
07

Quantified — your traffic-weighted exposure

Where your buyers are × how often you win there

Bliss model · directional

08

The controlled lens — same 22 questions, five engines

09

What to do, per engine

10

Parity — the same lens trackers ship, plus our second lens

11

The honesty ledger — what we flag, discount, and refuse to guess

What we flag & discount

Not collected — shown, never guessed

12

How this was measured

13

The read — one line that lands

Go deeper — the eight AI-Visibility tools
Bliss Optimizer · AI Visibility · Per-Engine