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.

3,609,830
Brands Scored
3.7/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 3,609,830 Tech & SaaS Brands

AI-Ready8-10
<1%
2,364
Getting There6-7
7%
242,359
Needs Work4-5
54%
1,935,695
Not Discoverable0-3
40%
1,429,412

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

3,609,830 brands scored - page 62 of 36,099

B

Broadcom News and Stories

7.5/10
Y

Yue Yang

7.5/10
L

Lee Pike

7.5/10
A

antidote

7.5/10
J

Jared Forsyth.com | Jared Forsyth.com GitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub iconGitHub icon

7.5/10
P

Peng SONG

7.5/10
P

Proof General

7.5/10
M

MULA 2026

7.5/10
M

Matt Fisher

7.5/10
B

byt3bl33d3r // /dev/random > blog.py

7.5/10
S

SubSonic Project

7.5/10
W

WordPress.org

7.5/10
J

Jeevana Priya Inala

7.5/10
F

FLOW

7.5/10
J

Jiaqi Ma's Homepage

7.5/10
J

Jona Ruthardt

7.5/10
H

HeteroCL

7.5/10
E

evcu

7.5/10
T

Tong He

7.5/10
C

Chi Ian Tang

7.5/10
Y

Yarden Cohen

7.5/10
M

M Baas

7.5/10
A

Andreas Herrmann

7.5/10
C

class LifeArchive { }

7.5/10
B

Bruno Duyรฉ blog

7.5/10
B

Bryce.Yu's Blog

7.5/10
X

Xin Xiong

7.5/10
R

Richard Si

7.5/10
L

Lyst Engineering Blog

7.5/10
S

So Yeon Tiffany Min

7.5/10
C

company

7.5/10
W

Water.css

7.5/10
D

django

7.5/10
S

S.Lott -- Software Architect

7.5/10
P

Protelis

7.5/10
B

Blog by Bogumiล‚ Kamiล„ski

7.5/10
N

Neurodata Without Borders

7.5/10
S

Sagar's Blog

7.5/10
S

Shiva Aryal

7.5/10
S

SocialGouv

7.5/10
O

One world | Projects, maps and coding

7.5/10
U

UC2 ESP32 Firmware Flashing

7.5/10
N

Neuroevolution of Self-Interpretable Agents

7.5/10
F

First Workshop on Interactive Labeling and Data Augmentation for Vision

7.5/10
Z

Zoe Paraskevopoulou

7.5/10
B

Brazil Data Cube Documentation โ€” Brazil Data Cube

7.5/10
D

Danel Ahman

7.5/10
S

Stephen Turner

7.5/10
J

Janโ€™s website and blog

7.5/10
T

Talia Ringer

7.5/10
K

Kaiqing Zhang's Homepage

7.5/10
U

UMR-CNRM.github.io

7.5/10
L

LNbits

7.5/10
D

D. Hicks

7.5/10
G

Guillotina: The Python AsyncIO REST API Framework โ€” Guillotina 7.1.3 documentation

7.5/10
S

S. Mahdi H. Miangoleh

7.5/10
B

Benoรฎt Legat

7.5/10
C

cellrank documentationContentsMenuExpandLight modeDark modeAuto light/dark, in light modeAuto light/dark, in dark mode

7.5/10
F

From Imitation to Refinementโ€”Residual RL for Precise Assembly

7.5/10
M

Mathics3

7.5/10
M

MadPlay๐Ÿš€

7.5/10
I

Introduction

7.5/10
C

Chao Feng

7.5/10
D

DMLC

7.5/10
S

SMART Guidelines

7.5/10
I

Intake-ESM

7.5/10
Y

Yihan Wang

7.5/10
R

Rex Parsons

7.5/10
M

Matt Dancho's Data Science Portfolio

7.5/10
E

EasyHook

7.5/10
Y

Your awesome title

7.5/10
E

Enze Chen (้™ˆๆฉๆณฝ)

7.5/10
P

PerAct

7.5/10
W

Welcome to abess's documentation! โ€” ABESS documentation

7.5/10
M

Medium

7.5/10
H

Ham radio control library development

7.5/10
W

Welcome to KATโ€™s documentation! โ€” kat 2.4.2 documentation

7.5/10
O

Olivier Harris

7.5/10
M

Martin Morgan

7.5/10
L

L3 Lab at CMU

7.5/10
J

Julia Belyakova ยท Purdue University

7.5/10
Q

Qing Shuai

7.5/10
G

Glenn Sarti

7.5/10
ๅ‡€

ๅ‡€ๅœŸ

7.5/10
M

Minhyuk Sung

7.5/10
O

Open Science for Foundation Models (SCI

7.5/10
J

Jingling Sun

7.5/10
B

Blog

7.5/10
Y

Yahui Song

7.5/10
X

Xuangeng Chu

7.5/10
Z

Zihan Zhu (ๆœฑ็ดซๆถต)

7.5/10
R

Robson Kanhalelo

7.5/10
A

Apache HAWQยฎ

7.5/10
O

Open2C

7.5/10
P

polybar

7.5/10
S

Site Reliability Guide for mybinder.org

7.5/10
F

Franz Louis Cesista

7.5/10
C

ccdproc โ€” ccdproc v2.5.2.dev64+g1bf5bcf4e

7.5/10
P

Prologue by HTML5 UP

7.5/10
A

autobahn

7.5/10
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Score your tech & saas brand free

Want to improve your AI visibility score?

Read: AEO guide for Tech & SaaS brands โ†’

What an AEO score of 3.7/10 means for tech & saas brands

The average Tech & SaaS brand we've scored sits at 3.7/10. 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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