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.

1,850,042
Brands Scored
4.5/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 1,850,042 Tech & SaaS Brands

AI-Ready8-10
<1%
7,065
Getting There6-7
15%
272,456
Needs Work4-5
70%
1,296,438
Not Discoverable0-3
15%
274,083

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

1,850,042 brands scored - page 16132 of 18,501

K

Know Ankit

3/10
B

blobs

3/10
M

mkApps

3/10
C

Cloud Ru Tech

3/10
T

TON Studio

3/10
T

Tram One

3/10
H

HTMLPLUS

3/10
B

Beautiful open source fonts ~ typehaus.org

3/10
U

Ulixee, The Open Data Platform

3/10
W

Welcome to Inkplate’s documentation! — Inkplate docs documentation

3/10
L

Linked Data Reactor (LD

3/10
A

Avida by devosoft

3/10
S

SWARFARM

3/10
R

Raptor007.com: home of X

3/10
H

Home — pyGIMLi

3/10
H

Hugo Techdoc Theme

3/10
M

mlo

3/10
S

setlist.fm to Spotify

3/10
B

baz's PC

3/10
W

www.yasuoka.net

3/10
T

TimJRobinson

3/10
C

Coding Stephan

3/10
N

Node.js

3/10
M

Making sure you're not a bot!

3/10
F

Florin Bratan

3/10
M

Murrell Group Code

3/10
M

mobl

3/10
J

Joel Barnes » Data Scientist

3/10
M

Maptime Amsterdam

3/10
P

Projects

3/10
S

SkrilNetz

3/10
H

hdi-project.github.io

3/10
H

Hakam Shams

3/10
R

roopc.net

3/10
P

Parked Domain name on Hostinger DNS system

3/10
H

Home

3/10
M

Mobile Desktops

3/10
H

Hello world!

3/10
G

GitHub

3/10
R

RobustIRC

3/10
Z

Z3prover

3/10
W

Wang Genomics Lab at CHOP and PennAsset 1

3/10
D

Demo

3/10
V

Vapor API Docs

3/10
G

Geoinformatics Team

3/10
P

Parked Domain name on Hostinger DNS system

3/10
A

A7 Analytics Platform

3/10
A

AjuntamentdeBarcelona.github.io

3/10
J

Jupyter NbClassic — Classic Jupyter Notebook

3/10
Q

Qavar

3/10

株式会社のらねこ - Noraneko Inc. -

3/10
R

Raffinato Softwares

3/10
G

Giga AI

3/10
B

Bridge Foundry

3/10
A

ACM SIGMM

3/10
P

PyVCF

3/10
E

ericbarch(dot)com

3/10
S

stb

3/10
Z

Zulip

3/10
M

Medicalmaladies

3/10
G

glbinding

3/10
P

pymake API documentation

3/10
M

MetaZ by griff

3/10
G

GemsTracker

3/10
C

Country.io

3/10
V

void main

3/10
G

GobySoft

3/10
G

Glx

3/10
R

RIFE2 Framework : Full

3/10
S

SLADE

3/10
C

Clipc Services

3/10
D

Dave Gilbert's Home Page

3/10
B

Brian Anglin

3/10
W

Wso2

3/10
3

3D

3/10
P

Pieces

3/10
L

Luiz Irber

3/10
Q

qbicc

3/10
R

Reclaim Cloud

3/10
E

elastix

3/10
A

Arkane Linux

3/10
F

Frank Bria

3/10
E

ESS

3/10
T

traggo

3/10
M

M2MSupport.net

3/10
M

Metavee

3/10
P

PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}

3/10
F

Frog

3/10
M

Mastodon hosted on topspicy.social

3/10
G

Github Weiterleitung

3/10
A

ABP

3/10
R

Relentless Coding

3/10
P

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications

3/10
D

Desire

3/10
H

Home

3/10
B

Bayesian Optimization and Model-Based Optimization of Expensive Black

3/10
D

DSN

3/10
L

LiHAS

3/10
M

Mastodon hosted on suncoast.dev

3/10
P

PySAT: SAT technology in Python

3/10
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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 4.5/10 means for tech & saas brands

The average Tech & SaaS brand we've scored sits at 4.5/10. 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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