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.

Subcategory · AI Citation Index

CI/CD

GitLab and Github tie at 67% shortlist rate across 159 prompts; Jenkins and CircleCI trail closely while 101 brands fragment the rest.

159 discovery queries · 210 head-to-heads · refreshed Oct 6, 2026

Discovery stage

The shortlist

Across 159 buyer-style "CI/CD" queries

Most cited · CI/CDLive

GitLab

gitlab.com

Cited in 106 of 159 buyer questions for CI/CD — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

67%

Visibility score66/100

See the full GitLab profile→

GitLab and Github each appear in 106 of 159 prompts (67% shortlist rate), with GitLab edging ahead on mention count (348 vs 342) and unCited score (66 vs 38). Jenkins and CircleCI follow at 65% and 63% shortlist rates respectively, while the long tail of 101 total brands signals heavy fragmentation below the top four. Bitbucket lands in ninth position despite a 59% shortlist rate, held back by lower model diversity.

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 CI/CD 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

11/11

GitLab

11/11

Bitbucket

11/11

Jenkins

11/11

Circleci

10/11

Github

5/5

GitLab

5/5

Circleci

5/5

Buildkite

5/5

Jenkins

5/5

Github

5/5

GitLab

5/5

Circleci

5/5

Jenkins

5/5

AWS CodePipeline

5/5

Github

4/4

GitLab

4/4

Circleci

4/4

Jenkins

4/4

Vercel

4/4

Github

4/4

GitLab

4/4

Jenkins

4/4

Circleci

4/4

Bitbucket

4/4

GitLab

4/4

CloudBees

4/4

Jenkins

4/4

Circleci

4/4

Github

4/4

GitLab

4/4

Jenkins

4/4

Bamboo

4/4

Github

4/4

TeamCity

3/4

GitLab

3/3

Jenkins

3/3

Circleci

3/3

TeamCity

3/3

Github

3/3

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · ci-cd

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 8/100

Github, GitLab, CircleCI, and Jenkins tie at an average evaluation score of 47 across 25 head-to-head comparison queries each, indicating no clear winner when AI models assess these platforms directly. Bitbucket scores 43 across 23 comparisons, while TeamCity drops to 38 across 20 queries. The category median sits at just 8, underscoring that most of the 101 brands rarely enter comparative evaluations.

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 8/100

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

Monthly average scores swing from 22 to 74 between March and October 2026, though sample sizes range from 4 to 24 queries per month—too volatile for reliable trend inference. Netlify rises (+9 delta) while GitLab falls (-6 delta) in recent period-over-period movement.

Biggest gain

Netlify

+9 pts

Biggest drop

GitLab

-6 pts

Brands to know

In this category

Bamboo

Atlassian's Bamboo scores 78—highest in the category—yet fails to crack the top-ten shortlist, suggesting strong performance in niche enterprise contexts that AI models cite less frequently than Github or GitLab.

Read brand profile →

Netlify

Netlify scores 72 and shows a +9 momentum delta, the sharpest rise in the category. Its focus on JAMstack deployment distinguishes it from traditional pipeline tools, driving recent gains in AI recommendations.

Read brand profile →

Snyk

Snyk appears in 38 prompts (24% shortlist rate) with a score of 72, reflecting its security-scanning niche. Models cite it alongside pipeline platforms rather than as a direct competitor to Jenkins or CircleCI.

Read brand profile →

Circleci

CircleCI holds 63% shortlist rate and a score of 71, tying Github and GitLab in head-to-head evaluations (47 avg). Its cloud-native positioning keeps it in the top four despite lower mention volume than Jenkins.

Read brand profile →

Jenkins

Jenkins matches the top trio in evaluation score (47) but trails in unCited score (21), the result of its open-source, self-hosted model generating fewer paid-feature citations than SaaS rivals.

Read brand profile →

Citation sources