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 Shipping & Fulfillment

43 brands tracked; no shortlist data and only one evaluation audit (IBM BAW at 30). The category is effectively invisible to AI at discovery stage.

Brands tracked

Avg AEO score

72/100

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 Shipping & Fulfillment 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 30/100

Only one brand has evaluation data: IBM Business Automation Workflow (BAW) scored 30 across 6 comparison queries, well below the category average of 72. The median evaluation score is also 30. With a single data point, the evaluation landscape is essentially unmapped.

IBM Business Automation Workflow (BAW)

30· 6 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 two available months (March and April 2026) show category average scores rising from 63 to 65, but with sample sizes of 1 and 2 respectively. IBM BAW rose 9 points month-over-month, the only rising brand recorded.

Biggest gain

IBM Business Automation Workflow (BAW)

+9 pts

Editorial picks

Brands worth watching

IBM Business Automation Workflow (BAW)

The only brand with citation data in this category. It holds a score of 72 (category-average) and logged 6 comparison queries, but its evaluation performance (30) lags far behind. It rose 9 points recently, the sole tracked mover.

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EasyPost

Developer-focused shipping API platform tracked as a featured candidate, but no citation score or audit data yet. Represents the technical integration segment of the category.

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Descartes Sellercloud

Multi-channel commerce fulfillment platform from Descartes. Featured candidate with no score data. Descartes also appears with a customs compliance product, signaling enterprise focus.

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DoorDash for Merchants

Last-mile delivery platform entering the broader fulfillment category. No citation data yet, but represents the on-demand logistics segment bridging food delivery into commerce.

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FAQ

Shipping & Fulfillment questions, answered

Which shipping software does AI recommend most often?+

None. Across 14 shortlist prompts, zero brands were cited. AI models currently show no consensus on shipping and fulfillment tools, a sharp contrast to adjacent commerce categories where shortlist coverage is measurable.

How does IBM Business Automation Workflow perform in shipping and fulfillment comparisons?+

IBM BAW scored 30 across 6 comparison queries, indicating weak citation performance in head-to-head evaluations. Its overall score of 72 matches the category average, but evaluation data suggests AI treats it as a peripheral option in this space.

Are there trends showing which shipping platforms are gaining AI visibility?+

Too early to say. Only two months of data exist (March and April 2026), each with 1-2 audits. IBM BAW rose 9 points in that window, but sample sizes are too small to confirm momentum.

What types of shipping solutions are tracked in this category?+

The 43 brands span API integrations (EasyPost), multi-channel fulfillment (Descartes Sellercloud), last-mile delivery (DoorDash for Merchants), and customs compliance (Descartes Customs suite). However, citation data covers almost none of them yet.

Why is shortlist coverage 0% in shipping and fulfillment?+

AI models may be defaulting to carrier brands (FedEx, UPS) not tracked here, or refusing to recommend in a category where solutions are highly workflow-specific. The data shows a citation gap: 43 platforms monitored, zero shortlist appearances across 14 prompts.

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