STRUCTURED INTELLIGENCE FOR AI COMMERCE
Find out why AI recommends your competitors.
And what to fix.
Azra helps brands understand and improve the information that influences how AI systems identify, compare, trust and select their products.
WHY THIS MATTERS NOW
Product discovery is moving upstream
The commercial question is no longer simply whether your products appear, but whether they are understood, trusted and recommended by AI assistants.
30 - 45%
of US consumers use generative AI for product research and comparison.
Bain, November 2025
393%
year-on-year growth in AI-sourced traffic to US retail sites in the first quarter of 2026.
Adobe Digital Insights, April 2026
42%
higher conversion from AI-sourced US retail traffic than non-AI traffic in March 2026.
Adobe Digital Insights, April 2026
US evidence is used here as a directional indicator of changing discovery behaviour, not as a direct estimate of UK market size or commercial impact.
THE PROBLEM
Your brand says one thing. The market may tell AI another.
AI is becoming a primary interface between customers and commerce.
Customers increasingly ask AI what to buy, which brands to trust and which products fit a need. Discovery, evaluation and recommendation are beginning to collapse into a single answer.
We call this the Parallax Gap: the difference between what a brand intends to say and what AI systems can actually see.
Brands often describe the same product differently across their website, retailer listings, marketplaces and product feeds. When details conflict or go missing, AI may favour a competitor whose product is easier to understand.
Illustrative product claim trace
Brand PDP
Broad-spectrum SPF 50; fragrance free
Clear
Retailer A
SPF 30; suitable for all skin types
Conflict
Marketplace
Sun protection; formulation unspecified
Merchant feed
Key protection and suitability fields missing
Missing
WHY AZRA IS DIFFERENT
More than monitoring
Most tools show you what an AI assistant said. Azra goes further by showing why your product may have been overlooked and what your teams can change.
See what AI is working with
Compare the information AI can find across product pages, retailer listings, feeds and other sources.
Identify where you lose ground
Compare each stage of the buying journey with category leaders to find the point where competitors pull ahead.
Turn findings into action
Each priority is assigned to a team, with a clear change to make and a practical way to check the result.
Keep the evidence honest
Testing is limited to agreed questions, competitors, markets, AI systems and dates so the findings remain clear and comparable.
THE AI COMMERCE AUDIT
3-5
week engagement
90
day correction plan
The Audit is yours to use. Your team can implement it internally, through existing partners or with focused support from Azra.
How the Audit works
Agree the scope
Choose the priority market, products, buying questions, competitors, AI systems and testing period.
Test the buying questions
Track when products appear, make the shortlist and receive a positive recommendation across repeated prompts.
Investigate the causes
Check the product data, claims, structured markup, merchant feeds and source inconsistencies behind the result.
Prioritise the fixes
Rank each issue by its likely importance, effort, dependencies and the team that should own it.
Set up the re-test
Agree what success looks like and how the changes will be checked against the original result.
What you receive
Executive summary and competitor benchmark
Evidence-backed list of issues and likely causes
Prioritised 90-day plan with named owners
Acceptance checks and re-test baseline
SAMPLE INTELLIGENCE
See the thinking behind the result
This illustrative Signal Brief shows how Azra moves from an observed recommendation gap to likely causes, practical actions and a measurable re-test.
COMMERCIAL FIT
For established brands with complex product ranges
Azra is designed for consumer and retail brands with large product ranges, detailed claims or information spread across their own website, retailers and marketplaces. We identify where those details conflict, go missing or make the brand harder for AI systems to understand and recommend.
Ecommerce
Digital
Product Data
Brand
Commercial
Customer Insight
Evidence Principles
Bounded observation
Results are specific to the agreed market, questions, systems, competitors and testing period.
No hidden-causation claims
Azra identifies observed outcomes and contributing information conditions; it does not claim access to proprietary model logic.
Verification over promises
Implemented changes are re-tested against the baseline. Recommendations, rankings and revenue outcomes are never guaranteed.
BOOK A 30 MINUTE CALL
Discover whether AI is considering your brand
A 30-minute conversation can help identify which category, market and buying questions are worth testing, and whether an Audit is likely to provide useful answers.
Confidential conversation / No automated sales sequence / No obligation to commission an Audit
© 2026 Azra Intelligence / info@azraintelligence.com
Privacy
Cookies
Legal