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

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.

Yes. AEO Audit is free. Enter any B2B SaaS brand and receive a full AI visibility score with prioritised recommendations.

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.

Subcategory · AI Citation Index

Feature Flags

Feature flags is a category with two consensus picks trading AI attention one-for-one. Unleash and LaunchDarkly each show up in 100% of buyer queries about feature flags, surfacing across all five engines tracked. Statsig is the riser — appears in 88% of queries but only on three engines, yet wins more head-to-head comparisons than LaunchDarkly when buyers ask AI to pick between them. The category is contested: a tight race at the top with Statsig gaining ground and LaunchDarkly losing share month-over-month.

49 discovery queries · 17 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 49 buyer-style "Feature Flags" queries

Most cited · Feature FlagsLive

Unleash

getunleash.io

Cited in 49 of 49 buyer questions for Feature Flags — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

100%

See the full Unleash profile→

Unleash and LaunchDarkly own the shortlist equally — both surface in every discovery prompt across all five engines. Statsig appears in 88% of queries but misses two engines, creating fragile visibility despite high mention volume. Default.com and Split.io each show up in roughly half of buyer queries, both visible on four engines but absent on one.

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 Feature Flags 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.

Launchdarkly

6/6

Unleash

6/6

Statsig

6/6

Default

4/6

Gradual

4/6

Launchdarkly

6/6

Statsig

6/6

Unleash

6/6

Split

3/6

Flagsmith

3/6

Launchdarkly

6/6

Unleash

6/6

Default

4/6

Flagsmith

4/6

Split

4/6

Launchdarkly

6/6

Unleash

6/6

Statsig

5/6

GitLab

3/6

POINT

2/6

Launchdarkly

4/4

Unleash

4/4

Default

3/4

Statsig

3/4

GitLab

1/4

Launchdarkly

4/4

Unleash

4/4

Statsig

4/4

Default

3/4

Split

3/4

Unleash

4/4

Flagsmith

4/4

Launchdarkly

4/4

Split

4/4

Gradual

3/4

Launchdarkly

3/3

Statsig

3/3

Unleash

3/3

Default

3/3

GitLab

1/3

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · feature-flags

Brands to know

In this category

Statsig

Riser

Feature flags with product analytics built in

Read brand profile →

Launchdarkly

Consensus pick

Enterprise feature management and experimentation platform

Read brand profile →

Unleash

Open-source feature flag service with self-hosting

Read brand profile →

Bucket.io

Feature flags optimized for B2B SaaS rollouts

Read brand profile →

Citation sources

Where AI pulls citations from

580 citations captured across Feature Flags prompt runs.

Vendor pages

407

Product, help, and marketing pages from tracked vendors

Independent sources

137

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

Buyer questions

What AI cites for top Feature Flags questions

Most queries here are category exploration — buyers ask AI for feature-flag tools by vertical, team size, or deployment model ('feature flags for travel agencies', 'feature flags tools for transportation services', 'best feature flags software for startups'). The pattern is top-of-funnel research with no evaluation or pricing prompts captured in the dataset.