Week 1
Category and prompt baseline
You choose the categories that matter most. We test real buying questions for them in each assistant and record which products and stores are named.
You receive
A baseline by category.
AI shopping optimisation
Get your products recommended by AI
Shoppers now ask AI assistants what to buy and receive a short list of products with prices and links. We prepare your product data, pages and reviews so your items can be on that list.
- Product data and feeds
- Reviews and comparisons
- Tested with real shopping prompts
01What it is
What is AI shopping optimisation?
AI shopping optimisation is the work of getting an online store's products recommended when a shopper asks an AI assistant what to buy. The assistant replies with a short list of products, each with a price, a reason and a link.
Shoppers increasingly describe what they want to an assistant and receive a short list of products with reasons. The assistant can only recommend what it can describe with confidence: a product with a complete specification, a current price, real reviews and independent mentions. Gaps in any of those are the usual reason a good product is left out.
AI shopping optimisation at a glance
AI shopping optimisation makes an online store's products easy for AI assistants to find, compare and recommend. Assistants build product answers from structured product data, merchant feeds, reviews and independent buying guides. The work is making sure each of those carries complete, consistent and current information about your products.
ExampleA shopper asks
Best waterproof hiking boots under 150?
BeforeE-commerce SEOShopping search
- A marketplace listing
- Competitor store A
- Competitor store B
- Your storeYou are here
Ranks category and product pages in search.
With usAI shopping optimisationAI shopping answer
Here are three options. Your product is a good pick for wide feet and has strong reviews for grip.
yourstore.comReview siteBuying guide
Makes each product eligible to be picked and compared by an assistant.
- In practice
- That list is built from product feeds, the structured data on product pages, customer reviews and independent buying guides. The work is making sure each of those carries complete, matching and current information about your products.
- Who it is for
- Online stores and brands, particularly in categories where shoppers compare before buying: electronics, fashion, home, beauty and outdoor.
- What it is not
- It is not a paid shopping advert, and it cannot make an uncompetitive price win a comparison.
02How it works
How an AI shopping answer is put together
A product recommendation is built from data, not from browsing a shop window. It takes four steps.
- 1
The shopper describes a need
A budget, a use and any constraints, in a full sentence, where a search would use two keywords.
- 2
The assistant looks up products
It draws on merchant product feeds, the structured data on product pages and a web search for reviews and buying guides.
- 3
It compares and filters
Attributes are matched to the request, then price, availability and reviews are weighed. Products with missing data drop out here.
- 4
It shows a short list
A few products appear, each with a price, a reason and a link to a store.
03Why it matters
The shortlist is decided before the shopper sees a shop
An AI shopping answer names three or four products. A store that is not on that list is not considered at all.
- 1
Thin product data is skipped
An assistant comparing options needs price, availability, sizes, materials and use cases. Products missing those details cannot be matched to a specific request.
- 2
Assistants lean on reviews
Recommendations usually cite what buyers and reviewers say. Products with few or no independent reviews are hard for an assistant to justify.
- 3
Feeds and pages often disagree
When the feed, the page and the structured data show different prices or stock, the product looks unreliable and may be dropped.
04Is it for you
Signs you need AI Shopping Optimisation
If two or more of these sound familiar, this service is likely to pay back. If none do, tell us and we will say so.
Tick the ones that sound familiar
Not sure where you stand? We will check for you.
Ask for the free audit05Who uses it
Who AI Shopping Optimisation is for
When shoppers describe what they want instead of typing a product name, your catalogue has to answer in detail.
SDMBuilt around product cataloguesFashion and footwear
Fit, fabric and sizing notes decide whether an item makes the shortlist.
Consumer electronics
Specifications are compared line by line, so gaps count against you.
Furniture and homeware
Dimensions, materials and delivery terms settle the practical questions.
Health and beauty
Ingredients and skin-type guidance match products to personal needs.
Sports and outdoor gear
Buyers ask by activity and weather, not by brand.
Toys and gifts
Age range, budget and occasion are the filters that matter.
Food and drink
Dietary labels and tasting notes get quoted directly.
Pet supplies
Breed, weight and life stage narrow the choice.
06What is included
What our AI shopping service includes
From the product feed to third-party coverage.
Request a free auditProduct data audit
Titles, descriptions, attributes, identifiers, price and stock are checked for completeness and consistency.
Feed optimisation
Your Google Merchant Center and other product feeds are cleaned up so every attribute an assistant can use is present.
Product schema
Product, Offer, Review and shipping markup added and validated on product pages.
Answer-ready product pages
Pages rewritten to state who the product is for, what it is best at and how it compares.
Review strategy
A plan to earn genuine reviews on your site and on the platforms assistants cite.
Shopping prompt testing
We test real buying questions in each assistant and track whether your products appear.
07Comparison
AI shopping optimisation vs e-commerce SEO
The differences that matter when you decide where to put time and budget.
| Aspect | The usual wayE-commerce SEO | What we doAI shopping optimisation |
|---|---|---|
| Goal | Rank category and product pages | Have products recommended in AI answers |
| Core asset | Optimised pages | Complete, consistent product data everywhere |
| Data sources | Your website | Website, merchant feeds, reviews and buying guides |
| What wins | Relevance and authority | Specific attributes that match the shopper’s request |
| Measured by | Rankings and organic revenue | Share of shopping prompts where you appear |
08Our process
How AI shopping optimisation works
Six stages. We start with your priority categories and widen the work as results come in.
Weeks 1 to 2
Product data audit
Titles, descriptions, attributes, identifiers such as GTINs, price and stock are checked across your feed, your product pages and your structured data. We look for gaps and for places where the three disagree.
You receive
A product data report showing gaps by category and by attribute.
Weeks 2 to 4
Fix the feed and the schema
Your Google Merchant Center feed and any others are cleaned up so each attribute is present and current. Product, Offer, Review and shipping markup is added to your templates and validated. We work inside your store platform or alongside your developer.
You receive
Cleaned feeds and validated product schema.
Month 2 onward
Rewrite priority pages
Product and category pages are rewritten to state who the product is for, what it is best at and how it compares. We begin with your best sellers and best margins. You approve the copy.
You receive
Rewritten product and category pages.
Month 2 onward
Reviews and buying guides
We set up a process to earn genuine reviews on your site and on the platforms assistants cite. We also put your products forward to the buying guides and review sites that appear in the answers.
You receive
A review plan and a log of coverage earned.
Every month
Re-test and report
The buying prompts are run again and reported by category, next to the feed and sales data.
You receive
A monthly report on your presence in AI shopping answers.
Timings are typical for a single website; your proposal sets out the exact schedule.
09Working with us
How we work with you
Sachkhand Digital Marketing has worked with businesses in 30 countries since 2017. The team is remote-first and keeps to your time zone, and the specialists who audit your site are the ones who do the work. This is how the work is shared on an AI shopping optimisation engagement.
You
What we need from you
Your input, mostly at the start- Access to your store platform and Merchant Center
- Your priority categories and where your margin is
- Accurate product specifications where they are missing
- Samples or product details when a reviewer asks for them
SDM
What our team handles
Everything else, start to finish- Buying prompt research and monthly testing
- Feed clean-up and product schema
- Product and category page copy
- Outreach to review sites and buying guides
- Free audit before any quoteWe look at your site first. After a 30-minute call you get a written proposal within 48 hours, with the scope, the timeline and the cost.
- One account managerA single point of contact who knows your account, on WhatsApp and email, with a reply within one business day.
- Plain-English reportingReports match your own analytics and are followed by a review call. A weak month comes with the reason and the plan.
- No lock-in contractOngoing work is billed monthly and can be stopped with 30 days' notice.
10Deliverables
What you receive
- PDF
A product data report showing gaps by category and by attribute.
- XLS
Cleaned product feeds with complete attributes.
- { }
Validated product schema on your templates.
- WEB
Rewritten priority product and category pages.
- PDF
A monthly report on your presence in AI shopping answers.
We tell you this before you start, not after.
Request a free auditWhat we will not promise
- Assistants choose which products to show, and their shopping features differ by country and change often.
- We do not write or buy fake reviews. The review plan is about earning real ones.
- Price and availability matter. Optimisation cannot make an uncompetitive offer win a comparison.
What you can count on
- A dated baseline before work starts, so progress is measured and not guessed.
- The agreed scope of work, delivered every month.
- A plain answer at each review if something is not working, with what we will change.
11Business impact
How AI shopping optimisation helps your business grow
The aim is more sales from shoppers who would otherwise never see your store. Each part of the work has a commercial result.
Targets we plan against, for engagements of six months or more
- +178%AI search visibilityTarget by month 6
- 94%AI Overview citation ratePriority question set
- 3×Brand mention growthAcross AI tools
- +62%Branded searchTarget by month 6
Outcome 1
You reach shoppers who never visit a store first
A shopper who asks an assistant what to buy sees three or four products. Being one of them is how you get the visit.
How we measure itShare of tracked buying prompts where your products are named.
Outcome 2
Cleaner data lifts every shopping channel
The same feed powers your Google Shopping listings and ads. Complete, consistent data means fewer disapproved items and better matching to searches.
How we measure itItem status and product impressions in Merchant Center.
Outcome 3
Product pages convert more visitors
A page that says who the product is for and how it compares answers the questions that stop people buying.
How we measure itConversion rate and revenue for the rewritten pages.
Outcome 4
Real reviews build trust everywhere
Reviews are quoted by assistants and read by shoppers. A steady flow of genuine ones supports both.
How we measure itReview count and average rating for each priority product.
Published client results
- 1.8KAI mentionsHome services franchise client
- 218Pages cited in AI answersPlumbing and HVAC client
- ~70×Organic visitsFranchise client, about 1K to 69.8K
- 98%Client retention600+ clients in 30 countries
What we guarantee
We do not guarantee a ranking or a mention in an AI answer. The search engines and assistants decide that, and no agency controls them. We guarantee the work, the measurement and the honesty.
- A dated baseline before work starts.Every result is measured against a starting point you have seen.
- The agreed scope, delivered every month.You know what will be done before the month begins.
- Honest reporting.Reports match your own analytics. A quarterly review tells you plainly if something is not working.
- White-hat methods only.No bought links, no fake reviews and nothing that risks a penalty.
- Your approval before anything is published.No page, pitch or listing change goes live without your sign-off.
- No lock-in.Billed monthly. Stop with 30 days' notice.
12Common mistakes
Mistakes we see most often
These come up in almost every first audit. Each one is avoidable.
- Mistake 1
Thin product descriptions
An assistant matching “waterproof, wide fit, under 150” needs those facts stated. Marketing copy alone does not provide them.
- Mistake 2
Feed and page out of sync
Different prices or availability in the feed and on the page reduce trust and can cause disapprovals.
- Mistake 3
Missing identifiers
GTINs, brand and model numbers help systems recognise the same product across sources.
- Mistake 4
Reviews only on your own site
Independent reviews and buying guides are what assistants lean on for recommendations.
13Do it yourself
Five checks you can do this week
You do not need us for the first steps. These take under an hour and show you where you stand.
Want the full picture?
Request the free audit- 1Ask an assistant for a product recommendation in your category with a price limit.
- 2Note which products and stores are named, and why.
- 3Check your top products for complete specifications in text.
- 4Review your merchant feed for disapprovals and missing attributes.
- 5Confirm Product schema shows the current price and availability.
14Free tools
Check the basics yourself, free
Three of our free tools cover the first checks we make. No signup is needed.
- Free
- No signup
- Results in seconds
15Key terms
AI Shopping Optimisation: key terms explained
- Merchant feed term 01
- A structured file of product data supplied to platforms such as Google Merchant Center.
- Product schema term 02
- Structured data describing a product’s price, availability and reviews.
- GTIN term 03
- A global product identifier, such as the number under a barcode.
- Attribute term 04
- A specific product fact such as size, colour, material or compatibility.
People also search for
- AI shopping optimization
- agentic commerce optimization
- ChatGPT Shopping optimization
- product feed optimization for ChatGPT
- Perplexity Shopping optimization
- Amazon Rufus optimization
- AI Mode shopping
- AI commerce optimization
- get products recommended by AI
- ecommerce GEO services
16FAQ
AI Shopping Optimisation: common questions
Straight answers to the 9 questions we are asked most.
Is yours not here?
Send it to us and you get a reply within one business day.
Ask your own questionWhat is AI shopping optimisation?
SDM
It is the work of making an online store's products easy for AI assistants to find, compare and recommend, by improving product data, feeds, structured data, reviews and product page content.
How do AI assistants choose which products to recommend?
SDM
They combine structured product information such as price, availability and attributes with reviews and independent buying guides, then match products to what the shopper asked for. The exact methods are not published and differ between assistants.
Can I pay to appear in AI shopping results?
SDM
That depends on the platform and changes over time. Our service focuses on the organic side: making your product data complete and your products well reviewed, which is what the recommendations are built from.
Do I need a Google Merchant Center feed?
SDM
For Google's AI shopping results, yes, a healthy Merchant Center feed is the foundation. Other assistants use their own sources, which is why consistent product schema on your pages matters as well.
Does this work for small stores?
SDM
Yes. A small store with complete product data and genuine reviews in a clear niche can be recommended for specific requests, where larger stores with generic listings are not a close match.
Which AI shopping surfaces do you cover?
SDM
Google’s AI shopping features, ChatGPT shopping results, Perplexity, Copilot and Gemini. We agree priorities based on where your customers shop.
Which platforms do you work with?
SDM
Shopify, WooCommerce, Magento, BigCommerce and custom stores. The work is on data, feeds and templates, so it applies to any platform.
How many products do you optimise?
SDM
We start with templates and feed rules that improve every product, then work individually on your best sellers and highest-margin lines.
Do marketplaces affect AI recommendations?
SDM
They can. Assistants often draw on marketplace listings and reviews, so consistent product data across your store and marketplaces helps.
Free, with no obligation
See whether AI recommends your products
Send us your store and three products you most want to sell. We will test real shopping prompts and show you who is being recommended today.
- No cost for the audit
- Written proposal in 48 hours
- No lock-in contract