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.

Category · AI Citation Index

Who AI is citing in Data & Analytics

No single vendor dominates AI citations across data & analytics; Snowflake leads at 78, but 60 discovery prompts returned zero repeated recommendations.

Brands tracked

Avg AEO score

66/100

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 Data & Analytics 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 36/100

In head-to-head comparisons, Airtable scores highest with a 77 average evaluation score across 4 queries, followed closely by Mixpanel at 76 and Amplitude Activation at 67. The category median sits at 36, meaning most data & analytics vendors underperform in direct comparison scenarios. Tableau, despite brand recognition, scores only 53 in evaluation contexts.

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: 61 avg score across 38 samples; April 2026: 67 across 68 samples). Snowflake shows the strongest upward movement with a +15 delta, while Segment declined 5 points. Too few audits to establish a category-wide trend, but the April sample-size jump suggests growing AI training on data tooling.

Biggest gain

Snowflake

+15 pts

Biggest drop

Segment

-5 pts

Editorial picks

Brands worth watching

Snowflake

Tops the featured list at 78 and posted a +15 delta in recent audits, the largest gain in the category. The only data warehouse vendor AI models cite with consistent strength across discovery and evaluation contexts.

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Fivetran

Scores 74 as a featured candidate, signaling strong AI citation in ETL & data integration scenarios. One of only two integration tools breaking into the top featured tier alongside Airbyte.

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Airtable

Achieves a 77 evaluation score—the highest in head-to-head queries—and appears at 72 in featured candidates. AI models frame it as a low-code data solution distinct from traditional BI or warehouse tools.

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Pendo

Reaches 74 in the featured candidate list, tied with Fivetran. Represents product analytics in AI citations, competing directly with Mixpanel and Amplitude in evaluation contexts.

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Drill down

Subcategories

Business Intelligence Data Warehouse ETL & Data Integration Product Analytics Customer Data Platform Reverse ETL

FAQ

Data & Analytics questions, answered

What is the best data analytics software for mid-market companies?+

AI models do not converge on a single answer. Snowflake scores highest at 78 in recent citations, while Airtable and Mixpanel lead in evaluation scenarios at 77 and 76 respectively. The category shows no dominant vendor across 60 discovery prompts, so buyer context—warehouse, BI, or product analytics—determines the recommendation.

Which data warehouse gets cited most often by AI?+

Snowflake leads with a 78 featured score and posted a +15 delta in the most recent trend data, the largest gain in the category. No other warehouse vendor appears in the top featured candidates, and Tableau—often conflated with warehousing—scores only 53 in evaluation queries.

How do Mixpanel and Amplitude compare in AI-generated recommendations?+

Mixpanel scores 76 in evaluation queries versus Amplitude Activation's 67, a 9-point gap. Both were tested across 4 comparison queries. AI models cite Mixpanel more favorably in head-to-head product analytics scenarios, though neither cracks the top featured candidate list.

What ETL tools do AI models recommend most?+

Fivetran and Airbyte tie the featured candidate list at 74 and 72 respectively. Matillion scores only 48 in evaluation contexts despite brand presence. Qlik Replicate appears at 72, but the category shows no dominant ETL vendor in discovery-stage prompts.

Are any brands losing ground in AI citations for data & analytics?+

Segment posted a -5 delta in the most recent trend window, the only brand flagged as falling. Snowflake gained 15 points in the same period. With only two months of audit data, these movements are preliminary signals rather than established trends.

Why does Airtable score so high when it is not a traditional BI tool?+

Airtable's 77 evaluation score—highest in the category—reflects AI models positioning it as a flexible data solution for non-technical teams. It appears at 72 in featured candidates, bridging workflow automation and lightweight analytics in ways traditional BI platforms like Tableau (53 evaluation score) do not.

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