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.

GitLab — AI Citation Score 66/100 | unCited.ai

[unCited]/

GitLab

Product Citation Index AI Influence Blog Book

AI Visibility

measured

73/100

Frequently Cited · in CI/CD

counts brand mentions in AI answers, not source citations

AEO Readiness

fundamentals

66/100

Solid fundamentals

Avg Prompt Score

across 2170 prompts

AI Share of Voice

23%

across 2170 prompts

Category Visibility

in CI/CD · of 84

Critical Issues

critical + high

How AI Visibility breaks down

in CI/CD

67%×50%

Coverage

100%×30%

Engine breadth

50×20%

Position

23%

Share of voice

—

Citation depth · soon

Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.

Per-stage performance

Discovery

1466 category

Cited32%462/1466

Share of voice24%avg

Engine consensus62%of engines

Competitors22.0avg/cited

Sentiment—no data

Evaluation

8 brand-level

Cited100%8/8

Share of voice100%avg

Engine consensus100%of engines

Competitors3.9avg/cited

Sentimentpositive6+ / 9~ / 0−

Trust

4 brand-level

Cited100%4/4

Share of voice100%avg

Engine consensus100%of engines

Competitors3.3avg/cited

Sentimentpositive5+ / 1~ / 0−

Conversion

2 brand-level

Cited100%2/2

Share of voice100%avg

Engine consensus100%of engines

Competitors2.5avg/cited

Sentimentneutral0+ / 3~ / 0−

Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.

Categories GitLab is visible in

Executive summary

GitLab is highly likely to be cited by AI engines for DevOps platform evaluation queries because it has strong third-party review authority (889 G2 reviews at 4.5★ per your pre-verified context) and first-party, crawlable comparison content like “GitLab vs GitHub.” The single highest-ROI fix is to strengthen structured-data coverage for evaluation queries (FAQPage + SoftwareApplication/Offer) across the most important pages (pricing + comparison + key “worth it/enterprise” pages) so AI systems can reliably extract and cite pricing and decision criteria.

Based on audit of gitlab.com · Jun 13, 2026

Per-stage performance

Categories GitLab is visible in

Executive summary

Pillar Benchmarks