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

Who AI is citing in Feature Flags

Statsig leads AI citations at 74 vs LaunchDarkly's 66; no brand dominates shortlists in this fragmented field.

Brands tracked

Avg AEO score

70/100

Citation coverage

of brands cited at least once

Dominant brands

cited > 50% of queries

Discovery stage

The shortlist

When buyers ask AI for the best Feature Flags software

No discovery-stage prompts have been scored against this category yet — once the shortlist cron runs, this section will surface which brands AI cites most.

Evaluation stage

The battleground

How brands fare on comparison queries · category median 53/100

LaunchDarkly averages 60 across 3 comparison queries, while Statsig scores 46 across 4 comparisons — both below the 53 median. Despite LaunchDarkly's legacy position, neither brand commands strong evaluation performance. The 14-point gap suggests buyers weigh trade-offs heavily when comparing specific tools.

Each brand's evaluation score averages how AI responds to head-to-head comparison queries that mention them. Above-median brands win their comparisons more often than they lose.

Trends

Over the last 12 months

Too few audits to establish a trend. Two months of data show category scores rising slightly from 69 to 71. Statsig climbed 11 points while LaunchDarkly fell 8, but the 7-query sample is insufficient to confirm momentum shifts.

Biggest gain

Statsig

+11 pts

Biggest drop

Launchdarkly

-8 pts

Editorial picks

Brands worth watching

Statsig

Tops AI citations at 74 despite a lower 46 evaluation average. Rising 11 points month-over-month, Statsig appears to be gaining ground in discovery queries even as it trails LaunchDarkly in head-to-head comparisons.

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Launchdarkly

Scores 66 in citations and leads evaluations at 60 across 3 comparison queries. Falling 8 points recently, LaunchDarkly holds the incumbent evaluation advantage but shows softening momentum in discovery.

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Bucket.io

Featured candidate with no citation score on record. Presence in the list suggests emerging interest, but lack of evaluation data means AI models have insufficient training signal to recommend it confidently.

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Unleash

Featured candidate with no citation score. Like Bucket.io, Unleash appears in the candidate pool without measurable AI traction — likely an open-source or newer entrant still building citation volume.

Read brand profile →

FAQ

Feature Flags questions, answered

What is the best feature flag software for engineering teams?+

Statsig leads AI citations at 74, ahead of LaunchDarkly at 66. No single tool dominates shortlists across 14 discovery queries, so the 'best' choice depends on specific evaluation criteria like pricing, integration depth, or experimentation features.

How does LaunchDarkly compare to Statsig?+

LaunchDarkly averages 60 in evaluation queries vs Statsig's 46, suggesting stronger performance in head-to-head comparisons. Yet Statsig rose 11 points recently while LaunchDarkly fell 8, indicating shifting momentum in broader discovery contexts.

Are there open-source feature flag tools AI models recommend?+

Unleash appears as a featured candidate but has no citation score in the data. The absence of evaluation metrics means AI models lack sufficient training signal to recommend it confidently, despite possible community adoption.

Which feature flag tool is gaining traction in 2026?+

Statsig climbed 11 points from March to April 2026, the largest delta in the category. LaunchDarkly dropped 8 points in the same window. Only 7 queries span those two months, so the trend is preliminary.

Why don't feature flag tools appear in AI shortlists?+

Zero brands reached shortlist dominance across 14 category prompts. With 4 brands tracked and a 0 percent coverage rate, the category is fragmented — no tool consistently surfaces in top-of-funnel 'best feature flag software' queries.

What is the median evaluation score for feature flag platforms?+

The median evaluation score is 53 across comparison queries. LaunchDarkly at 60 sits above the median; Statsig at 46 falls below. The 14-point spread reflects divergent strengths — likely legacy vs innovation trade-offs.

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