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 Data Warehouse

Salesforce Blockchain leads AI citation in data warehouse evaluation at 85, but zero brands appear consistently in discovery shortlists.

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 Data Warehouse 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 39/100

Salesforce Blockchain scores 85 on comparison queries, significantly above the median of 39. Snowflake (45) and Databricks (46) cluster near median performance, while Mongodb scored 0 across five comparison queries. Azure Blob Storage (39) and Supabase (36) trail the cloud-native warehouse leaders.

Salesforce Blockchain

IBM Business Automation Workflow (BAW)

30· 6 queries

Mongodb

0· 5 queries

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. The dataset spans only March 2026 (8 prompts, avg score 67) and April 2026 (13 prompts, avg score 71). Snowflake shows a 15-point rise month-over-month.

Biggest gain

Snowflake

+15 pts

Editorial picks

Brands worth watching

Salesforce Blockchain

Scores 85 in evaluation queries, the highest in the category by a 39-point margin over the median. Appears in three comparison audits despite being atypical for traditional data warehouse use cases.

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Snowflake

Shows a 15-point citation gain from March to April 2026, the only brand with measurable momentum. Scores 45 in evaluation and 78 in featured candidate rankings.

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Databricks

Cited in four comparison queries with a 46 evaluation score, just above median. Featured candidate score of 63 places it mid-pack among lakehouse and warehouse platforms.

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Mongodb

Scored 0 across five evaluation queries but earns a 71 featured candidate score, suggesting AI models recognize the brand but fail to recommend it in head-to-head comparisons.

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Azure Blob Storage

Appears in five comparison queries with a 39 score (exactly at median) and a 78 featured candidate ranking. AI models cite it as storage infrastructure, blurring lines between object storage and warehouse categories.

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FAQ

Data Warehouse questions, answered

What is the best data warehouse software?+

AI models show no consensus: zero brands appeared consistently across 15 discovery prompts audited. Snowflake and Databricks score near the 39-point evaluation median, while Salesforce Blockchain leads comparison queries at 85 despite limited warehouse-specific positioning.

How does Snowflake compare to Databricks for data warehousing?+

Snowflake scores 45 in evaluation queries versus Databricks at 46, effectively tied near the category median of 39. Snowflake shows a 15-point citation increase from March to April 2026, the only brand with measurable momentum in the dataset.

Why does Salesforce Blockchain rank highly in data warehouse comparisons?+

Salesforce Blockchain scores 85 across three comparison queries, 39 points above the category median. The data does not explain the positioning, but the evaluation score suggests AI models associate it with enterprise data infrastructure despite non-traditional warehouse use cases.

Is MongoDB a good data warehouse option?+

Mongodb scored 0 across five evaluation queries, the lowest in the dataset. Its 71 featured candidate score indicates AI models recognize the brand but do not recommend it when users compare warehouse platforms directly.

What role does Azure Blob Storage play in data warehouse AI citations?+

Azure Blob Storage appears in five comparison queries with a 39 evaluation score (at median) and a 78 featured candidate ranking. AI models cite it as foundational storage infrastructure, often blurring category boundaries between object storage and warehouse platforms.

Are data warehouse citation patterns stable over time?+

The dataset covers only March and April 2026, too short to establish trends. Average scores rose from 67 to 71 month-over-month, and Snowflake gained 15 points, but sample sizes of 8 and 13 prompts respectively limit conclusions.

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