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.

3,813,059
Brands Scored
3.7/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 3,813,059 Tech & SaaS Brands

AI-Ready8-10
<1%
1,632
Getting There6-7
6%
243,113
Needs Work4-5
53%
2,022,586
Not Discoverable0-3
41%
1,545,728

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

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

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3,813,059 brands scored - page 43 of 38,131

T

Tiago Maluta

7.5/10
M

Martin Lukac

7.5/10
M

Mingxuan Yi

7.5/10
M

Muhammed Basil

7.5/10
D

De Novo

7.5/10
披

披麻皴

7.5/10
P

popucui

7.5/10
R

Rahat Khan Portfolio

7.5/10
R

Rajkumar Sakthivel β€” Engineer, Speaker, Builder

7.5/10
R

Ruby Tutorial

7.5/10
R

Ruqiya Bin Safi

7.5/10
M

My Portfolio

7.5/10
S

Srujan Portfolio

7.5/10
A

Alvin Mwambi (@Steiner254)

7.5/10
T

Tavinus Blog (TavBlog)

7.5/10
T

tsega.github.io

7.5/10
P

Peach

7.5/10
S

Segment Any Motion in Videos

7.5/10
Q

Qijun Gan (εΉ²ζ·‡ι’§)

7.5/10
O

OpenStreetMap Blog

7.5/10
U

Usage β€” Bioconda documentation

7.5/10
D

DeepGen

7.5/10
Q

QuPath

7.5/10
G

GPU

7.5/10
S

Socially Responsible Machine Learning

7.5/10
L

Luke Melas-Kyriazi

7.5/10
C

CDK - Chemistry Development Kit

7.5/10
L

Learning Lens Blur Fields

7.5/10
D

DreamZero: World Action Models are Zero

7.5/10
D

Dang Nguyen

7.5/10
E

Easi3R: Estimating Disentangled Motion from DUSt3R Without Training

7.5/10
C

Computational Intelligence and Operations Laboratory (CIOL)

7.5/10
M

Ming Li

7.5/10
M

Massive Language Adaptation of Large Language Models

7.5/10
K

Kwan Yun

7.5/10
D

Drake: Model

7.5/10
E

Ebrahim Mousavi

7.5/10
M

MA Cong's Homepage

7.5/10
A

About

7.5/10
J

Jiawei Wang

7.5/10
K

Kailin Jiang

7.5/10
K

Kaiser Sun

7.5/10
M

Manuel Romero

7.5/10
A

Ahmed Sabir

7.5/10
C

Chanyong Shin

7.5/10
@

@shreydan

7.5/10
T

TBA: Fast, Scalable LLM Post

7.5/10
Y

Yao Teng

7.5/10
V

Vadim Smolyakov

7.5/10
X

Xuenan Xu

7.5/10
Z

Zhenyang Liu

7.5/10
Z

Zihao Zhao

7.5/10
X

Xingguang Zhang

7.5/10
O

Ouro: Looped Language Models

7.5/10
E

Eddie Kohler

7.5/10
S

Strong but Simple: A Baseline for Domain Generalized Dense Perception

7.5/10
J

Jiaben Chen

7.5/10
L

LazyBird

7.5/10
A

A Sober Look at the Robustness of CLIPs to Spurious Features

7.5/10
E

ExecRepoBench

7.5/10
H

Hanyang Kong

7.5/10
L

LINGO

7.5/10
R

RoboDuet: Learning a Cooperative Policy for Whole-body Legged Loco-Manipulation

7.5/10
M

ManipBench: Benchmarking Vision

7.5/10
G

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

7.5/10
X

Xiangyang Luo

7.5/10
O

On Memorization of Large Language Models in Logical Reasoning

7.5/10
R

RealGeneral

7.5/10
E

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

7.5/10
E

Eastbean - Homepage

7.5/10
S

Search

7.5/10
H

Homepage

7.5/10
L

LARA

7.5/10
I

IFEvalCode: Controlled Code Generation

7.5/10
P

PoseDiffusion: Solving Pose Estimation via Diffusion

7.5/10
Q

Qin Zhao

7.5/10
S

Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models

7.5/10
L

LILaC

7.5/10
N

NL2SQL

7.5/10
S

Siemens

7.5/10
M

Microsoft Marketplace

7.5/10
A

Android Developers Blog

7.5/10
Z

ZIMSTAT

7.5/10
J

Jose L. Salmeron β€” AI Scientist & Executive

7.5/10
G

Guided

7.5/10
S

Software

7.5/10
U

UniMorph

7.5/10
S

Surge

7.5/10
A

AbcDatalog

7.5/10
S

Service Cutter by ServiceCutter

7.5/10
H

Home

7.5/10
A

AVFLOSS

7.5/10
M

MGH Biostatistics (old)

7.5/10
H

Home

7.5/10
M

Medium

7.5/10
G

Giwan's Blog

7.5/10
H

Hugo Profile

7.5/10
S

Steven Pestana

7.5/10
M

Microsoft Marketplace

7.5/10
4

400 Error

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 β†’

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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