Tangensys • Plan, deliver, measure
AI shopping feed optimisation
Keep product information complete and consistent wherever it is supplied. Start with attributes shoppers need to compare, not speculative AI-specific tricks.
The work to plan together
A scope shaped around this requirement.
- Feed auditScope
- Attribute enrichmentReview
- Structured dataCheck
- Product dataYour current feed and catalogue
- Feed reviewTitles, attributes and errors checked
- Proposed correctionsChanges for your team to approve
- ValidationChecked in Merchant Center after approval
In short
What does AI shopping feed optimisation involve?
AI shopping feed optimisation prepares product data so AI shopping tools and agents can understand, compare and recommend your products.
When AI shopping feed optimisation is a useful fit
Online stores
Correct product identity, variants, price and availability before enriching attributes.
Brands with large catalogues
Use consistent identifiers and remove misleading or unsupported product descriptions.
Problems worth addressing first
Use these situations to identify the work that deserves attention before expanding the scope.
- Product data is incomplete
- AI shopping tools show competitors
A practical example
A product record should distinguish variants and include current price, availability and returns information. A size or material should come from the catalogue, not generated guesswork.
This is an illustrative scenario to explain the approach, not a claimed client project.
The work we can include
The final quote identifies the deliverables, quantities, approvals and exclusions. Select the work that serves your goal rather than assuming every item is required.
- Feed audit
- Attribute enrichment
- Structured data
- Checkout readiness review
Where we usually begin
Platform access, feed support and current submission requirements are verified. Complete data cannot guarantee a recommendation or purchase through an AI tool.
Practical detail
Validate the product record before seeking visibility
An illustrative feed for two shoe variants must preserve product identity, price and availability. A clean feed supports accurate discovery where the destination accepts it.
| Part of the work | Example output | How to review it |
|---|---|---|
| Identity | Product ID, variant ID and landing-page URL | Each variant resolves to the matching item. |
| Attributes | Title, size, colour, image and approved description | The record reflects the item and does not insert unsupported claims. |
| Commercial state | Price, currency and availability | Feed and landing page agree for the checked variant. |
| Destination check | Supported format, errors and submission status | An accepted feed is not described as guaranteed AI recommendation. |
The proposal names supported destinations and how updates are maintained. Speculative future shopping features are not included as if they were already available.
Improve catalogue information before generating extra text
A shopping feed depends on accurate product records. Titles, attributes, identifiers, availability and landing-page consistency need review before using AI to draft variations. Better wording cannot correct an incorrect price or missing product fact.
Choose a representative product group and identify which fields need work. Use verified data as the source and keep an approval step for generated descriptions. Destination requirements and store capabilities are checked for the actual account.
Review accepted records, disapprovals and relevant campaign outcomes separately. Keep changed fields traceable so errors can be corrected. Feed work is not a promise that products will be approved or advertisements will become profitable.
Free AI project review
Start with a clear scope and a practical next step.
Tell us what you want to improve and share the relevant website or project details. We will review the starting point, recommend a suitable scope and provide a custom quote.
The initial review is free. Delivery, third-party charges and ongoing support are quoted separately.
Process
How the work is delivered
Review the starting point
Review the current setup, examples of the problem and the information needed to agree the work.
Agree scope and sign-off
We start with real examples of the task and approved information. A small, clearly defined pilot tests usefulness, failure cases and the level of human oversight before wider rollout.
Deliver and review
Evaluation includes inaccurate answers, unavailable tools and uncertain requests. Provider charges, monitoring and updates are defined separately; the business keeps an accountable human owner.
Hand over the next steps
Review the agreed outputs together. Confirm what your team maintains and what needs a separate ongoing arrangement.
What progress should mean
Measures that match the work
Track feed validation, data freshness and supported referral or purchase signals. Separate eligibility improvements from actual visibility and sales.
A record of delivery
See what was completed, reviewed and still dependent on access or approvals. Project delivery and business results are reported separately.
Clear limits in the data
We explain what can be verified and where a result is only an estimate. Contact clicks, conversations and sales are different actions.
Scope and responsibilities
You keep ownership of your business accounts and approved deliverables under the agreed contract. Any third-party licences, subscriptions or usage fees are identified before you commit.
Can AI fill missing product attributes?
It can help organise supplied information, but it should not invent specifications or identifiers. Missing factual fields need a verified source. A review can separate safe language improvements from data gaps that the merchant must resolve.
Does a feed guarantee inclusion in AI shopping answers?
No. Destinations control eligibility and selection. The work improves record quality and supported submission, not guaranteed placement.
Who keeps prices and stock current?
Agree the source of truth and update route. A one-time feed cleanup does not maintain changing inventory by itself.
Is this the same as Google Shopping?
It overlaps: good feeds help both Shopping ads and AI shopping tools.
How is AI shopping feed optimisation priced?
We quote against your goals, current setup and agreed scope. The quote separates delivery from third-party costs and ongoing support. You receive a custom quote within 2 working days.
How long does the work take?
The timeline follows the size of the agreed scope, access, content and approvals. We confirm milestones in the quote; a simple change and a full implementation need different schedules.
How will we communicate?
Your point of contact agrees a review rhythm with you. We use email, WhatsApp and scheduled calls, with decisions and scope changes recorded clearly.
What do you need to get started?
Share your current website or system, your main goal and examples of what is not working. We then agree the access and information needed for discovery.
Is everything included in the free review?
No. The free initial review helps define the next step. Detailed research, design, implementation and ongoing support are included only when stated in your quote.
Explore the related services
Let’s agree the right next step.
Tell us your goals and current setup. We’ll recommend a practical starting point and provide a custom quote.
Custom quote within 2 working days