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.

3,756,941
Brands Scored
4.6/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 3,756,941 Tech & SaaS Brands

AI-Ready8-10
<1%
15,003
Getting There6-7
23%
858,611
Needs Work4-5
60%
2,271,315
Not Discoverable0-3
16%
612,012

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

3,756,941 brands scored - page 21564 of 37,570

J

Jean Barré

4/10
E

Ebrahim Mousavi

4/10
D

DialogCC: An Automated Pipeline for Creating High

4/10
M

Michael Chang

4/10
F

Fanqi Lin

4/10
G

Gan Chengguang

4/10
G

Guijin Son

4/10
A

About

4/10
H

HUGIN

4/10
Z

Zihan Li｜李子晗

4/10
I

Iker García-Ferrero

4/10
I

Interleaved Scene Graph for Interleaved Text

4/10
∞

∞

4/10
J

Jiawei Wang

4/10
Y

Yan Lu (鲁炎)

4/10
D

Do Language Models Understand Honorific Systems in Javanese?

4/10
J

Jeonghun Cho

4/10
J

JyiDeng的主页

4/10
Z

Zikai Zhou

4/10
K

Kaiser Sun

4/10
K

Kaizhao Liang

4/10
K

Kelechi (tensor)

4/10
L

LHL's Homepage

4/10
L

Liangbing (Liam) Zhao

4/10
L

Liumeng Xue (薛浏蒙)

4/10
X

Xiaoyu Liu

4/10
M

MAmmoTH

4/10
M

Maddes8cht

4/10
Z

ZhongYu Li

4/10
H

Howdy · Max Marion

4/10
M

Marco Gaido

4/10
M

Manuel Romero

4/10
R

René Parlange

4/10
P

PhyGenBench PhyGenBench: <b>Phy</b>sics <b>Gen</b>eration <b>Bench</b>mark

4/10
D

Dr. Pritam Deka

4/10
D

DeR²: Retrieval

4/10
R

Rotem Israeli

4/10
Y

Yiming Wang

4/10
S

Sailik Sengupta

4/10
C

Chanyong Shin

4/10
S

Shachar Don-Yehiya

4/10
@

@shreydan

4/10
S

Siyin Wang

4/10
S

Sascha Kirch

4/10
H

Home

4/10
S

Shuming Liu

4/10
S

SpaRe Benchmark

4/10
T

Tianyi Liang

4/10
B

Billy's Homepage

4/10
Y

Yao Teng

4/10
V

Vitaliy Kinakh's resume

4/10
J

Jinsheng Wang

4/10
V

VLABench

4/10
X

Xuenan Xu

4/10
S

Shaolei Zhang

4/10
L

LocalePlanet: L10N and I18N for JavaScript

4/10
Z

Zheyuan "Ryan" Lai 「赖哲源」

4/10
D

Defa Zhu (朱德发)

4/10
Z

Zhipeng Du

4/10
Z

Ziyi Yang

4/10
R

Ruben Van Genugten

4/10
P

PictureThis

4/10
D

Documentation for the chess dataset — chess_web_page 0 documentation

4/10
P

PicoScenes: Enabling Modern Wi

4/10
P

Portfolio

4/10
M

mrfakename

4/10
F

flozi00 TechHub

4/10
H

Haoran Luo

4/10
L

LBB

4/10
中

中興大學自然語言處理實驗室

4/10
L

LeMaterial

4/10
C

Compare Them All

4/10
C

Cloud Native Blog

4/10
H

Home

4/10
U

UPCSC

4/10
L

LibTIFF

4/10
L

Local Citation Links

4/10
S

sustaphones

4/10
I

Introduction

4/10
C

CZGBC

4/10
A

Apereo Community Blog

4/10
T

TS

4/10
S

Skin Cancer Diagnose

4/10
V

vusec

4/10
D

DRGNews

4/10
C

CI: Main

4/10
A

AI2

4/10
A

ALGLIB

4/10
W

What is Mixpanel?

4/10
S

Shiny Numerati

4/10
G

Gleam programming language

4/10
A

Applio

4/10
S

Science in Hydroponics

4/10
M

Monitoring, Evaluation and Learning Platform

4/10
K

KREA Realtime Video

4/10
A

Applio

4/10
S

SMT

4/10
G

Gradio

4/10
E

El Mercurio

4/10
G

GitHub

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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