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

Reverse ETL

Reverse ETL is AI's clearest duopoly. Hightouch surfaces in 94% of buyer queries about syncing warehouse data to SaaS tools, visible on ChatGPT, Perplexity, Gemini, and Claude; RudderStack lands in 87%, matching that four-engine spread. Segment and Airbyte trail at 79% and 52% discovery share, respectively, but neither appears in head-to-head comparison prompts — the evaluation data set captures only Hightouch vs RudderStack matchups, where both brands tie at identical scores. This is a consolidated category: two consensus picks own the shortlist, with minimal room for wildcards or emerging challengers.

52 discovery queries · 20 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 52 buyer-style "Reverse ETL" queries

Most cited · Reverse ETLLive

Hightouch

hightouch.com

Cited in 49 of 52 buyer questions for Reverse ETL — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

94%

Visibility score63/100

See the full Hightouch profile→

Hightouch and RudderStack anchor the shortlist, each surfacing across all four AI engines. Hightouch shows up in 94% of discovery prompts, RudderStack in 87%. Segment lands in 79% of the same queries, visible on every engine but cited less frequently. Airbyte trails at 52%, still maintaining four-engine visibility but surfacing in barely half the prompts where Hightouch appears.

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 Reverse ETL 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.

Hightouch

8/8

Segment

8/8

RudderStack

8/8

Airbyte

6/8

Census

3/8

Hightouch

6/6

Segment

5/6

RudderStack

4/6

Airbyte

3/6

Census

3/6

Hightouch

6/6

Census

6/6

RudderStack

6/6

Segment

6/6

Polytomic

3/6

Segment

5/5

Hightouch

5/5

RudderStack

5/5

mParticle

2/5

Census

2/5

Hightouch

5/5

RudderStack

5/5

Airbyte

4/5

Segment

3/5

Azure Data Factory

2/5

Hightouch

5/5

RudderStack

5/5

Segment

5/5

Census

3/5

Airbyte

1/5

Hightouch

5/5

Census

5/5

Airbyte

4/5

RudderStack

3/5

Segment

3/5

Airbyte

4/4

Hightouch

4/4

RudderStack

4/4

Segment

2/4

Azure Data Factory

1/4

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · reverse-etl

Brands to know

In this category

Hightouch

Consensus pick

Warehouse-native sync engine for SaaS tools

Read brand profile →

RudderStack

Consensus pick

Customer data pipeline with reverse ETL layer

Read brand profile →

Citation sources

Where AI pulls citations from

572 citations captured across Reverse ETL prompt runs.

Vendor pages

310

Product, help, and marketing pages from tracked vendors

Independent sources

142

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top Reverse ETL questions

Every query in this category is top-of-funnel exploration. Buyers ask AI to explain reverse ETL itself ('What is reverse ETL software?'), to solve operational sync problems ('How do I ensure my marketing tools have the latest customer data?'), and to connect warehouse insights to daily workflows ('How can I integrate insights from my data warehouse into daily operations?'). No head-to-head comparisons, no pricing questions, no trust or conversion probes — just buyers learning what reverse ETL is and which tools do it.