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 Observability & APM

No brand commands the AI shortlist in observability; Datadog leads evaluation queries at 58 but coverage remains at zero across 17 discovery prompts.

Brands tracked

Avg AEO score

68/100

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 Observability & APM 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 34/100

Datadog leads comparison queries with a 58 average evaluation score across 3 head-to-head matchups. Pandorafms follows at 51 (5 comparisons), Dynatrace at 43 (6 comparisons), and ManageEngine Applications Manager and Pagerduty tie at 41. The median evaluation score sits at 34, well below the category average of 68.

ManageEngine Applications Manager

Oracle Sales Performance Management

31· 4 queries

IBM Business Automation Workflow (BAW)

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

Only two months of audit data exist (March 2026: 65 avg score, 13 prompts; April 2026: 69 avg score, 28 prompts). Datadog rose 15 points month-over-month. Too few audits to establish a long-term trend.

Biggest gain

Datadog

+15 pts

Editorial picks

Brands worth watching

Datadog

Datadog posted a 78 featured-candidate score and leads evaluation queries at 58, while also showing the sharpest monthly climb (+15 points). It appears in 3 comparison queries, the fewest among top evaluation performers.

Read brand profile →

Dynatrace

Dynatrace earned a 74 featured score and appeared in 6 comparison queries (most among top brands), though its 43 evaluation average trails Datadog and Pandorafms. Volume suggests broad consideration even if head-to-head performance lags.

Read brand profile →

Azure Blob Storage

Azure Blob Storage tied for the highest featured score (78) despite a 39 evaluation average across 5 comparisons. Its presence in observability queries is anomalous—blob storage typically sits outside APM—but AI citations confirm the crossover.

Read brand profile →

Pagerduty

Pagerduty posted a 74 featured score and a 41 evaluation average across 5 comparisons. It straddles incident management and observability, landing citations in both contexts.

Read brand profile →

FAQ

Observability & APM questions, answered

What is the best observability software for production monitoring?+

No brand dominates AI-generated shortlists; coverage rate is zero across 17 discovery prompts. Datadog, Dynatrace, and Azure Blob Storage each scored 78 in featured-candidate rankings, but none appeared consistently enough to claim a top slot.

How does Datadog compare to Dynatrace in head-to-head evaluations?+

Datadog scores 58 on average in comparison queries versus Dynatrace at 43. Dynatrace appeared in 6 comparisons (double Datadog's 3), suggesting broader consideration but weaker per-query performance.

Which observability tool is rising fastest in AI citations?+

Datadog climbed 15 points between March and April 2026, the only brand with measurable upward momentum in the two-month audit window. No other rising or falling brands registered.

Why does Azure Blob Storage appear in observability rankings?+

Azure Blob Storage scored 78 in featured candidates despite being a storage product, not an APM tool. AI likely cites it in observability contexts involving log aggregation or telemetry data lakes, where blob storage backends support monitoring workflows.

Is there a clear market leader in observability APM?+

Not in AI citations. The shortlist coverage rate is 0%, evaluation scores are dispersed (median 34, Datadog leads at 58), and 90 brands fragment the space. No vendor has consolidated mindshare in AI-generated recommendations.

What is the median evaluation score for observability brands?+

The median sits at 34, well below the category average of 68. Only Datadog (58), Pandorafms (51), and Dynatrace (43) exceed the median, indicating most brands perform poorly in direct comparisons.

More in Developer Tools

CI/CD Version Control API Management Feature Flags Error Tracking

Want to know if AI cites your brand for Observability & APM?

Free audit. ChatGPT, Perplexity, Gemini, Claude.

Run an audit →

See the full Observability & APM leaderboard →