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

Data & Analytics

The category reveals a bifurcated market structure. Enterprise data infrastructure (Tableau, Snowflake) achieves 60%+ shortlist rates with moderate model diversity (4), indicating strong consensus around these platforms for core BI and warehousing needs. Product analytics tools (Mixpanel at 29%, Heap at 13%, Hotjar at 9%, Fullstory at 7%) show maximum model diversity (5), suggesting these solutions address more specialized, context-dependent use cases where buyer requirements vary significantly. The 158 consensus brands versus only 12 evaluation brands indicates this is a mature category with established preferences rather than active exploration.

663 discovery queries · 609 head-to-heads · refreshed Jun 8, 2026

Discovery stage

The shortlist

Across 663 buyer-style "Data & Analytics" queries

Most cited · Data & AnalyticsLive

Mixpanel

mixpanel.com

Cited in 201 of 703 buyer questions for Data & Analytics — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

29%

Visibility score71/100

See the full Mixpanel profile→

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 Data & Analytics 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.

Tableau

29/29

Snowflake

26/29

Looker

23/29

Databricks

21/29

Microsoft

19/29

Comprehensive

12/16

Insights

11/16

Recommend

11/16

Tableau

11/16

Microsoft

11/16

Comprehensive

14/15

Recommend

14/15

Microsoft

14/15

Tableau

13/15

Insights

12/15

Snowflake

8/13

Tableau

8/13

Looker

8/13

Databricks

6/13

Qlik

4/13

Attribution

11/11

Segment

10/11

Looker

9/11

Tableau

9/11

Mixpanel

8/11

Tableau

9/10

Snowflake

8/10

Looker

7/10

Databricks

4/10

Thoughtspot

4/10

Microsoft

9/9

Tableau

8/9

Insights

7/9

Snowflake

6/9

POINT

5/9

Tableau

7/8

Insights

7/8

Snowflake

7/8

Recommend

7/8

Microsoft

6/8

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · data-analytics

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 6/100

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure

Median citation rate 6/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Brands to know