AEO Audit (uncited.ai) is a free tool that scores B2B SaaS websites for AI search visibility — how likely they are to be cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews when B2B buyers search for software.

What is AI Engine Optimization (AEO)?

AI Engine Optimization (AEO) is the practice of structuring content, entity signals, and technical infrastructure so that AI engines cite your brand in generated answers. It extends traditional SEO to cover ChatGPT, Perplexity, Gemini, and Google AI Overviews — the channels where B2B buyers increasingly discover software.

Yes. The AEO audit on uncited.ai is completely free. Enter any B2B SaaS domain and receive a full AI citation score with a prioritized fix list — no email or sign-up required.

How does AEO Audit score websites?

AEO Audit scores across six pillars: AI Visibility (22%), Brand Authority (23%), Content Quality (18%), Platform Optimization (15%), Structured Data (12%), and Technical AEO (10%). Each pillar reflects specific signals that AI engines use when deciding which sources to cite.

What is the best free AEO audit tool?

uncited.ai is the only free AEO audit tool that directly queries ChatGPT, Perplexity, Gemini, and Claude using real buyer-stage prompts — with no email or credit card required. It returns a citation score and prioritized fix list in about 60 seconds.

How do I get my brand cited by ChatGPT and Perplexity?

Getting cited by ChatGPT, Perplexity, and other AI engines requires three things: (1) strong third-party validation — especially G2 reviews, press mentions, and authoritative backlinks; (2) clear, structured content that answers the exact questions buyers ask AI; and (3) technical signals like schema.org SoftwareApplication markup and an llms.txt file. Run a free audit on uncited.ai to get a personalized fix list ranked by impact.

What is GEO (Generative Engine Optimization)?

GEO (Generative Engine Optimization) is a synonym for AEO. Both terms describe the practice of optimizing content and technical infrastructure so that AI-powered search engines — such as ChatGPT, Perplexity, Gemini, and Google AI Overviews — include your brand in their generated answers.

How is AEO different from SEO?

SEO optimizes for keyword ranking in traditional search engines like Google. AEO (AI Engine Optimization) goes further, optimizing for citation in AI-generated answers — where AI engines synthesize information and recommend sources rather than just listing links. AEO prioritizes entity credibility, third-party validation (G2, review sites), structured data, and content that directly answers buyer questions.

How does uncited.ai compare to Profound or Conductor for AEO?

uncited.ai is the only free option and the only one purpose-built for B2B SaaS. Profound is an enterprise-priced tool focused on brand monitoring. Conductor is a broad SEO platform that added limited Google AI Overviews tracking. uncited.ai audits all four major AI engines (ChatGPT, Perplexity, Gemini, Claude) using real buyer prompts and provides a public Citation Index leaderboard — all with no email gate.

What is the Citation Index?

The Citation Index on uncited.ai is a public leaderboard of 400+ B2B SaaS brands ranked by their AI citation score in each software category. It shows which brands AI engines most frequently recommend when buyers ask for software in categories like CRM, project management, marketing automation, and more. It is updated weekly from real AI engine responses.

Category · AI Citation Index

Developer Tools

Developer tools is a contested category with three brands trading AI attention. GitLab surfaces in 57% of discovery prompts across all four engines; Datadog captures 46% and wins the most head-to-head comparisons; Atlassian scores highest in evaluation matchups despite slightly lower discovery share. GitHub, PagerDuty, Statsig, Grafana Cloud, and Netlify are absent giants — they win most of their head-to-heads but AI rarely surfaces them in buyer queries. CircleCI is the kingmaker: cited in 38% of discovery prompts and shows up in more comparison queries than any brand except Datadog and GitLab. Microsoft is falling — down 16 points in AI attention over six months while Datadog climbed 15. This is a contested category: no single brand owns the shortlist, and head-to-head wins don't predict discovery share.

649 discovery queries · 602 head-to-heads · refreshed Aug 16, 2026

Discovery stage

The shortlist

Across 649 buyer-style "Developer Tools" queries

Most cited · Developer ToolsLive

GitLab

gitlab.com

Cited in 369 of 649 buyer questions for Developer Tools — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

57%

Visibility score66/100

See the full GitLab profile→

GitLab shows up in 57% of buyer queries about developer tools and surfaces across ChatGPT, Claude, Gemini, and Perplexity. Atlassian and Datadog follow at 49% and 46% respectively, both visible on every engine. CircleCI, Sentry, and Bitbucket each appear in roughly 35-40% of discovery prompts with full four-engine coverage. Linear and Make round out the visible set, surfacing in one-third of buyer queries across all engines tracked.

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions

Tracked acrossChatGPT,Gemini,Claude

Get weekly AI visibility changes for Developer Tools sent to your inbox.

Score shifts, new entrants, citation gaps — every Monday.

Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

Github

27/37

Stacks

27/37

Datadog

26/37

GitLab

23/37

Google Cloud

22/37

Readme

11/12

Github

11/12

Gitbook

10/12

GitLab

9/12

Jira

9/12

Github

8/9

Linear

8/9

GitLab

8/9

Stacks

7/9

Jira

7/9

Github

8/9

Stacks

8/9

GitLab

6/9

Unreal Engine

4/9

Sentry

4/9

Cursor

7/7

Supabase

7/7

Vercel

7/7

Github

7/7

GitLab

7/7

Jira

7/7

monday dev

7/7

Linear

7/7

Github

7/7

Jira Software

7/7

Atlassian

6/6

Jira

6/6

Bitbucket

5/6

Github

5/6

GitLab

5/6

Github

6/6

GitLab

6/6

Bitbucket

6/6

SonarQube

6/6

Snyk

6/6

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · developer-tools

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 3/100

Atlassian and Datadog tie at 78 out of 100 in head-to-head comparisons — both win more matchups than they lose. GitLab scores 66 across 64 comparison queries, winning more often than Jira (45) or Kubernetes (44). CircleCI holds 71 despite lower discovery share, winning most of its 61 head-to-heads. LaunchDarkly, Grafana, and Bitbucket each score 41, losing more comparison queries than they win.

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure

Median citation rate 3/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Trends

Over the last 12 months

Datadog gained 15 points in AI attention from March through August while Microsoft fell 16 over the same window. The shift is visible across all engines — Datadog now surfaces in nearly half of buyer queries, up from roughly a third six months ago.

Biggest gain

Datadog

+15 pts

Biggest drop

Microsoft

-16 pts

Brands to know

In this category

Atlassian

Jira and Confluence for agile teams

Read brand profile →

Datadog

Consensus pick

Cloud-scale observability and APM platform

Read brand profile →

GitLab

Consensus pick

DevSecOps platform from code to deploy

Read brand profile →

Circleci

Kingmaker

CI/CD automation for cloud-native pipelines

Read brand profile →

machine-learning in Python

Absent giant

Version control and collaboration for developers

Read brand profile →

Citation sources

Where AI pulls citations from

599 citations captured across Developer Tools prompt runs.

Vendor pages

107

Product, help, and marketing pages from tracked vendors

Independent sources

143

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top Developer Tools questions

Buyers ask AI for the best developer tools by team size, vertical, and use case — phrasings like 'best version control solutions for enterprise companies', 'AI debugging software for cross-platform development', 'best CI/CD software for higher education institutions'. A smaller slice digs into evaluation criteria: 'what level of customization do I need in an error tracking platform', 'how to evaluate the analytics capabilities of observability platforms'. Trust and conversion prompts are thin — buyers occasionally ask about 'highest-rated developer tools according to user reviews' or 'free developer tools alternatives', but the signal is overwhelmingly discovery-focused.