The framework
The model behind every recommendation.
Every AI answer is the output of the same eight questions. Scout names them, weights them into one 0–100 score, and ranks the evidence machines actually trust.
68
AI Visibility Score
Understood, not preferred
8dimensions scored
0–100one AI Visibility Score
5evidence levels ranked
on demandre-measured, every reading dated
Eight dimensions
What the score is made of.
A real reading of instlytechnologies.com, each dimension scored and colour-banded.
01
AI Visibility
Can machines resolve who you are and extract your claims?
60
02
Buyer Intent
Are cost, comparison, eligibility answered on-page?
72
03
Trust & Credibility
Is proof machine-verifiable: reviews, cases, credentials?
55
04
SEO & AEO
Does structure serve ranked search and answer extraction?
74
05
Technology Stack
Does the tech layer help or hide content?
80
06
Security & Privacy
Do browser-visible signals undermine confidence?
78
07
Answer Coverage
Do pages answer buyers' questions in plain sentences?
58
08
Conversion Path
Is the next step clear once an engine sends a buyer?
65
0–39 Weak · can't establish who you are
40–69 Moderate · understood, not preferred
70–100 Strong · cited & recommended
The evidence hierarchy
What machines trust, in order.
Two sites can make identical claims and be treated completely differently. What separates a cited source from an ignored one is the form of the evidence, most sites live at levels 4–5. The whole of AEO is the climb.
1
Verified third-party
Reviews with schema, press, registries: proof you don't control.
2
Named, dated first-party
Case studies with real numbers and dates.
3
Structured claims
Prices, specs, credentials expressed in schema.
4
Prose claims
True statements buried in paragraphs.
5
Slogans
“Best in class.” Zero extractable content.
"68 to 82 on 23 July 2026"a level-2 fact a machine can quote and attribute.
"Trusted by thousands"a level-5 slogan it cannot use.