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.

1,026,201
Brands Scored
4.6/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 1,026,201 Tech & SaaS Brands

AI-Ready8-10
<1%
5,423
Getting There6-7
18%
184,356
Needs Work4-5
69%
705,962
Not Discoverable0-3
13%
130,460

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

1,026,201 brands scored - page 9289 of 10,263

W

Welcome to BibtexParser’s documentation! — BibtexParser latest documentation

3/10
W

Welcome to pymemcache’s documentation! — pymemcache 3.5.2 documentation

3/10
H

hvac — hvac 2.4.0 documentation

3/10
G

Gwsdoc

3/10
V

volkamerlab.github.io

3/10
P

Perspicuous Computing

3/10
L

libclc

3/10
P

Protovalidate

3/10
I

Index of /hBlock

3/10
V

Vue Bits

3/10
R

Redirecting to https://gyorilab.github.io

3/10
W

wemake.services

3/10
P

pyFF

3/10
D

Deal — Deal documentation

3/10
S

Service Binding for Kubernetes

3/10
J

Jupyter[Lab] Language Server Protocol — Language Server Protocol integration for Jupyter[Lab]

3/10
R

Redirecting to GitHub

3/10
M

Mastodon hosted on tux.social

3/10
D

Documentation

3/10
A

AdalFlowContentsMenuExpandLight modeDark modeAuto light/dark, in light modeAuto light/dark, in dark mode

3/10
C

CodeRed Documentation Library

3/10
J

j c campbell

3/10
I

Introduction

3/10
P

PyAnsys cheat sheet documentation — PyAnsys Cheat sheets

3/10
P

PyAnsys

3/10
A

Analytics for Github

3/10
T

Tauri Login System

3/10
O

OHSU Comp. Bio.

3/10
O

Ocr D

3/10
P

Pairinteraction

3/10
P

Pext

3/10
W

Welcome to Blessed documentation! — Blessed 1.44.0 documentation

3/10
D

django

3/10
W

Welcome to Django Leaflet’s documentation! — Django Leaflet 0.20 documentation

3/10
L

Lightning

3/10
P

Podman: Python scripting for Podman services — Podman Python SDK 3.2.1.0 documentation

3/10
I

Introduction — PeakRDL

3/10
P

PyBEL 0.15.6

3/10
Q

QuantEcon documentation — QuantEcon 0.11.2 documentation

3/10
W

Welcome to pylightxl documentation — pylightxl 2019 documentation

3/10
W

Welcome to the Sound Field Synthesis Toolbox — SFS Toolbox

3/10
P

PyBLP — PyBLP 1.2.0 documentation

3/10
O

Overview — Wetterdienst Documentation

3/10
T

txacme: A Twisted implementation of the ACME protocol — txacme 0.9.1+0.ga5f1652.dirty documentation

3/10
A

Automating Software Development

3/10
G

Golem Python API Reference — yapapi 0.12.0 documentation

3/10
A

Anycluster

3/10
J

Jakob de Maeyer

3/10
P

pyHanko — pyHanko 0.0.0.dev1 documentation

3/10
H

Hugues Wattez

3/10
M

mastersign

3/10
P

Python Library for Historical Linguistics — LingPy

3/10
N

NGL Viewer Projects

3/10
B

Blog

3/10
G

Goji

3/10
J

JWTConnect.io

3/10
M

Machine Learning for Trading

3/10
A

astir

3/10
W

Welcome to multiprocessing’s documentation! — multiprocessing 3.5.0.0 documentation

3/10
B

beancount2beancount

3/10
C

clinguinContentsMenuExpandLight modeDark modeAuto light/dark mode

3/10
B

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

3/10
C

ChainerUI

3/10
D

django

3/10
W

Welcome to docformatter! — docformatter 1.7.5 documentation

3/10
W

Welcome to FFsubsync’s documentation! — ffsubsync documentation

3/10
H

histbook — histbook v1.2.5

3/10
W

Welcome to gninatorch’s documentation! — gninatorch documentation

3/10
Р

Руководство по IRC — Документация Руководство по IRC 1

3/10
M

METS Reader & Writer — METS Reader & Writer 0.6.1 documentation

3/10
M

multimatch

3/10
H

Home — Parsenvy 3.0.2 documentation

3/10
W

Welcome to owmeta

3/10
W

Welcome to pygeoif’s documentation! — pygeoif 1.6.0dev0 documentation

3/10
P

pypuppetdb — pypuppetdb 3.2.0 documentation

3/10
I

irc 20.5.1.dev72+g90e10e690 documentationContentsMenuExpandLight modeDark modeAuto light/dark, in light modeAuto light/dark, in dark mode

3/10
M

Main Page — retdec

3/10
R

RichDEM — High

3/10
W

Welcome to stix2

3/10
S

ssh

3/10
W

Welcome to TopoStats’s documentation! — TopoStats 2.4.1.dev13+g7508469e2 documentation

3/10
S

SWAMPE’s documentation — SWAMPE 1.0.0 documentation

3/10
P

python

3/10
Z

ZEO

3/10
W

Welcome to Yapconf’s documentation! — Yapconf 0.3.7 documentation

3/10
W

Welcome to sciunit’s documentation! — SciUnit documentation

3/10
S

shdewz

3/10
C

Cesium

3/10
K

Kyle Conroy's Personal Blog

3/10
P

PyWebIO Playground: Edit, Run, Share PyWebIO Code Online

3/10
J

Jack Robinson

3/10
P

PyHELICS

3/10
B

Blog

3/10
P

passagemath: General purpose mathematical software system in Python, a fork of SageMath

3/10
W

Welcome to anycluster’s documentation! — anycluster 2.0 documentation

3/10
W

Welcome to django

3/10
W

Welcome to Flask

3/10
D

django

3/10
C

Cooler — cooler 0.10.4 documentation

3/10
L

lda: Topic modeling with latent Dirichlet Allocation — lda documentation

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 4.6/10 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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