AI Scores / Tech & SaaS

Tech & SaaS AI Scores
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AI Visibility Scores for Tech and SaaS Brands

B2B buyers ask AI engines for software recommendations every day. The SaaS brands that show up have schema markup, entity clarity, and AI-accessible documentation. See how tech companies score on AI visibility.

3,771,493
Brands Scored
4.6/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 3,771,493 Tech & SaaS Brands

AI-Ready8-10
<1%
14,917
Getting There6-7
23%
855,514
Needs Work4-5
60%
2,280,169
Not Discoverable0-3
16%
620,893

Only <1% of tech & saas brands are AI-ready.

The other >99% are being skipped by ChatGPT, Perplexity, and Google AI Mode.

Score your brand free

3,771,493 brands scored - page 22077 of 37,715

A

arla

4/10
N

Nicolas M. Careau - My bio page

4/10
N

Nicolás Migueles

4/10
N

Nicollas Petrelli

4/10
G

GitHub

4/10
G

GitHub

4/10
G

GitHub

4/10
G

GitHub

4/10
A

Antoine

4/10
N

Noelle Scobie

4/10
N

novac

4/10
N

nove

4/10
A

Adrien Zaganelli is Contributing

4/10
D

Dan Nuttall — Software Engineer

4/10
N

nulltask.dev

4/10
F

Fabien Ehrlich

4/10
N

Naoka

4/10
G

GitHub

4/10
G

GitHub

4/10
G

GitLab

4/10
O

oded.dev

4/10
O

Objector

4/10
H

Hi, I'm ogaclejapan

4/10
G

GitHub

4/10
O

OkiDoki

4/10
O

Ole Eskild Steensen

4/10
O

okisdev's docs

4/10
G

GitHub

4/10
H

Hi! My name is Murilo.

4/10
O

Onborda

4/10
T

thx — thx documentation

4/10
G

GitHub

4/10
H

Henk’s Resume

4/10
O

OSCAL Compass

4/10
H

Home

4/10
O

ovra

4/10
O

OWLSOME.DEV - Łukasz Sowa

4/10
G

GitHub

4/10
A

Anil Seervi | Front-End Developer

4/10

游托啤吖

4/10
P

padz.dev

4/10
C

Cobalt

4/10
O

OpenSAFELY ehrQL documentation

4/10
O

OpenSAFELY ehrQL documentation

4/10
O

OpenSAFELY ehrQL documentation

4/10
O

OpenSAFELY ehrQL documentation

4/10
E

Elder.js Template: Home

4/10

所有文章

4/10
H

Home

4/10
F

FloatBlog

4/10
B

Books of Jane Austen

4/10

局域自由博客

4/10
N

Newsly

4/10
H

Hamster1963

4/10
O

OpenSAFELY documentation

4/10
O

OpenSAFELY documentation

4/10
O

OpenSAFELY documentation

4/10
O

OpenSAFELY documentation

4/10
O

OpenSAFELY documentation

4/10
S

Solving the decision problem

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
T

The Wails Project

4/10
Z

Zenith Docs

4/10
E

EVM Drops

4/10
P

Paintoshi

4/10
S

Sonic Music

4/10
E

EVM Warp

4/10
P

paltech

4/10
C

Cortex XSOARMenu

4/10
S

Software Architect

4/10
P

PartyKit: Everything's better with friends!

4/10
P

Pat Clarke

4/10
M

Meilisearch Python SDK

4/10
P

Patrick Edqvist

4/10
P

Paul Rigaudeau

4/10
P

Patricia Borlongan

4/10
P

Pawan Kumar

4/10
P

Parallel DOMMenu

4/10
P

Personnummerqr code

4/10
P

Pepr

4/10
G

GitHub

4/10
P

Petar Radošević

4/10
P

Peter Klein

4/10
P

PGM Documentation

4/10
G

GitLab

4/10
G

GitHub

4/10
P

pessoas.dev

4/10
P

Phil Wright

4/10
P

Philipp Rosenkranz

4/10
P

Pablo Hernández

4/10
P

Phil Lennon

4/10
P

Pillars

4/10
O

Oko

4/10
P

pippy

4/10
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Score your tech & saas brand free

Want to improve your AI visibility score?

Read: AEO guide for Tech & SaaS brands →

What an AEO score of 4.6/10 means for tech & saas brands

The average Tech & SaaS brand we've scored sits at 4.6/10. That means roughly <1% are positioned to be cited by ChatGPT, Claude, and Perplexity, while the remaining >99% are at risk of being skipped when AI engines answer customer questions.

Common AEO issues in tech & saas

  • Missing Organization JSON-LD with sameAs links to social profiles
  • No llms.txt file declaring the brand to AI crawlers
  • FAQ content rendered without FAQPage schema, so AI engines cannot extract it
  • robots.txt or Cloudflare WAF blocking GPTBot, ClaudeBot, or PerplexityBot
  • Thin About pages with no founder/team Person schema

How to improve your tech & saas AEO score

Run a free AEO score for your site and see exactly which signals are missing. The audit takes under a minute and the fix list ships as a one-click JSON-LD + llms.txt + robots.txt patch you can paste into any platform.

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