Complex product ranges
Variants, technical attributes or use cases are difficult to compare in a flat feed.
AI-commerce readiness audit
Find the gaps between your catalogue and the next shopping journey.
We examine how product information, operating signals and the path to purchase hold together for AI-led discovery. The aim is a clearer set of priorities, grounded in your merchant workflow.
Request an auditA scoped, human-assisted service. The review and outputs are agreed before work begins.
When an audit helps.
For growing merchants whose products have useful detail, but whose catalogue and commerce systems do not yet present it consistently across discovery journeys.
Missing buyer answers
Descriptions do not fully explain compatibility, suitability, policies or important distinctions.
Fragmented commerce data
Availability, policies and storefront information live in different places or change at different times.
What we examine.
The exact review is agreed with you. These are the areas we consider when they are relevant to your catalogue and chosen channels.
Product data and context
- Categories, attributes and variant structure
- Descriptions, use cases and common buyer questions
- Consistency across product pages and available feeds
Commerce and handoff signals
- Availability and inventory information
- Shipping, returns and other relevant merchant policies
- How a discovered product leads back to your storefront and purchase flow
What the work is intended to produce.
A useful audit should leave your team with decisions, not just a list of issues. The final outputs depend on the agreed scope.
A gap map
A clear view of the product-data and workflow issues found in the reviewed scope.
A practical action plan
Recommendations ordered by relevance and effort, so the next work is easier to sequence.
A next-step roadmap
Options for merchant-led fixes and any further data-readiness or integration work worth scoping.
How it starts.
A public storefront link and a short description of the catalogue are enough for an initial conversation. Any deeper access or files are discussed after scope is agreed.
Enquire
Tell us about your business, storefront, catalogue size and main concern.
Agree scope
Identify the products, data sources and questions the review should cover.
Review
Examine the agreed product information and commerce journey with human oversight.
Discuss findings
Walk through the gaps, priorities and possible next steps together.
Common questions.
Clear expectations matter while AI shopping channels are changing.
Do we need to connect our systems before contacting you?
No. Start with your public storefront and a short explanation of where your product data lives. Any access needed for a scoped review can be discussed later.
Will the audit guarantee visibility or transactions on AI platforms?
No. Third-party platforms control their own discovery and purchase experiences. The audit identifies readiness gaps and practical improvements; it cannot guarantee placement, traffic or sales.
Does Oblivion run our checkout?
The current service focuses on product-data readiness and the handoff to a merchant-owned storefront or purchase flow. Any integration work is scoped separately.
How much does an audit cost, and how long does it take?
That depends on catalogue depth, data sources and the agreed review. We discuss scope before proposing a price or schedule.
Start with the catalogue you have.
Share your storefront and the question you most want the audit to answer.