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

Field Service & Workforce

Field service software is a consolidated category with a clear two-brand duopoly. ServiceTitan and Salesforce each capture 86% of discovery prompts across every engine we track (ChatGPT, Claude, Gemini), with Jobber and Microsoft Dynamics 365 a step behind at 80%. ServiceNow is the riser — gaining 16 points month-over-month — but still trails the top tier in raw discovery share. Below the top five, visibility fragments sharply: brands like Housecall Pro and FieldEdge surface consistently but in fewer than three-quarters of buyer queries. This is a consolidated category with two brands trading the top slot one-for-one.

35 discovery queries · 10 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 35 buyer-style "Field Service & Workforce" queries

Most cited · Field Service & WorkforceLive

builtforteams.com

Cited in 31 of 35 buyer questions for Field Service & Workforce

ChatGPT—Gemini—Claude—

Citation rate

89%

See the full builtforteams.com profile→

ServiceTitan and Salesforce split the shortlist, each appearing in 86% of buyer queries about field-service software and visible on every engine we audit. Jobber and Microsoft Dynamics 365 trail by six points at 80%, also present across ChatGPT, Claude, and Gemini. Housecall Pro holds 71% of discovery queries, and ServiceNow — despite its recent surge — surfaces in only 60%.

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

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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.

GPS

5/6

Salesforce

5/6

Jobber

4/6

Housecall Pro

4/6

Workiz

4/6

Jobber

5/5

Housecall Pro

5/5

Salesforce

5/5

Microsoft

5/5

ServiceTitan

5/5

Procore

2/4

ServiceTitan

2/4

Jobber

2/4

FieldEdge

2/4

Salesforce

2/4

Salesforce

4/4

Microsoft

4/4

ServiceMax

3/4

Jobber

3/4

ServiceTitan

3/4

Salesforce

4/4

Microsoft

4/4

Infor

4/4

Netsuite

4/4

ServiceTitan

3/4

Salesforce

3/3

ServiceTitan

3/3

Jobber

3/3

Samsara

3/3

FieldEdge

2/3

Jobber

3/3

Housecall Pro

3/3

ServiceTitan

3/3

Salesforce

3/3

Microsoft

3/3

ServiceTitan

3/3

Jobber

3/3

FieldEdge

3/3

Salesforce

3/3

Housecall Pro

3/3

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · field-service

Brands to know

In this category

ServiceTitan

Dispatch and invoicing for home-service trades

Read brand profile →

Jobber

Scheduling and quoting for small field teams

Read brand profile →

ServiceNow

Riser

Enterprise IT service and asset management

Read brand profile →

Microsoft Dynamics 365

ERP and field-service module for enterprises

Read brand profile →

Citation sources

Where AI pulls citations from

572 citations captured across Field Service & Workforce prompt runs.

Vendor pages

212

Product, help, and marketing pages from tracked vendors

Independent sources

130

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

Buyer questions

What AI cites for top Field Service & Workforce questions

Every query in the dataset is top-of-funnel exploration. Buyers ask AI for tools that handle maintenance scheduling, forecasting service demand, or reporting and analytics capabilities. Phrasing skews operational — 'What tools can assist in forecasting service demand?' and 'Field service software with reporting and analytics capabilities' are typical. No head-to-head comparisons or pricing questions appear in this sample.