How-to / transactional · Updated 2026-09-15
How to Add Related Products to Shopify Manually for Free
A practical no-AI Shopify related-products setup: map product pairs, show up to three hand-picked recommendations and let shoppers add them without reloading the page.
All ShopRadar apps featured in this guide are available in English.
Shopify related products do not have to be generated by an algorithm. For many stores, the merchant already knows the correct pairing: the replacement filter that belongs with a machine, the lamp that completes a side table, the trousers that match a jacket, or the refill that belongs with a reusable container. When those relationships are obvious and stable, manual cross-selling can be simpler than paying for a recommendation engine to infer what the catalogue owner already knows.
Öneri Kiti is built for that exact workflow. Its current Shopify App Store listing marks it as free, and the owner confirms there is no paid plan. The listing says a merchant can choose up to three recommended products for each item, display them on the product page, and let shoppers add a recommendation to the cart without a page reload. It also states that the app uses no customer tracking or recommendation algorithm and charges no revenue share. Öneri Kiti is available in English.
Build the recommendation map before you install anything
The fastest way to create bad related-product blocks is to start clicking through the catalogue without a rule. Decide what kind of relationship you are trying to surface. Accessories solve a compatibility problem. Refills solve a replenishment problem. Coordinated fashion or home-decor items solve a styling problem. Small add-ons can make the main product more complete. Those are different jobs, and each deserves a different pairing rule.
Start with your highest-traffic or highest-priority products and write down the one to three items that genuinely make each purchase more useful. If you cannot explain the relationship in one sentence, the recommendation is probably too weak. A product block with fewer, stronger pairings usually feels more intentional than a carousel full of vaguely similar inventory.
Step 1: install Öneri Kiti and keep the job manual
Install Öneri Kiti from the Shopify App Store. The current listing describes it as a manual cross-sell tool rather than an AI recommendation engine. That distinction matters: the app is designed for stores that want the merchant to decide which products are shown, not for stores that want software to learn from browsing or purchase behavior.
The listing currently shows the app as free. The owner confirms there is no paid plan, and the listing states there is no monthly fee, revenue share or usage limit. Treat that as a current cost advantage, not a forever-price promise and not a reason to recommend irrelevant products. Re-check the live listing when you make a future budget decision. The quality of a manual cross-sell still depends entirely on the merchant's pairing decisions.
Step 2: choose a base product, then select up to three companions
The current listing describes a direct admin workflow: pick a product, choose the products that should accompany it, and save the relationship. Öneri Kiti supports up to three recommended products for each base item. That ceiling is useful because it forces prioritization instead of turning the product page into another collection grid.
Order the recommendations by usefulness rather than by what you most want to clear from inventory. A camera battery belongs next to the camera because it prevents a future problem. A random unrelated sale item does not become a good cross-sell just because it has margin. If two companions are equally relevant, put the lower-friction purchase first: the item that needs the least explanation is usually the easiest add-on.
Step 3: place the recommendation block on the product template
Öneri Kiti's current listing says it uses a theme app extension and that its block follows the theme's styling. Shopify's theme editor supports compatible app blocks, so the product-page location can be managed through the theme rather than by pasting a custom script into theme code.
Place recommendations close enough to the product decision to feel connected, but not where they interrupt the main purchase. For many layouts that means below the main product information or near the add-to-cart area after the shopper understands the primary item. Preview several products, because a block that looks balanced with a short product title can become crowded on another template with longer names or variant information.
- Open the product template in Shopify's theme editor.
- Use Add block or Add section and choose the installed app block from the Apps area.
- Position it where related products support the main decision instead of competing with it.
- Save and preview the template on both desktop and mobile.
Step 4: test the one-tap add-to-cart behavior
The listing says shoppers can add a recommended product to the cart without a page reload. Test that behavior on a real product before rolling the block across the catalogue. Choose a recommendation, add it, open the cart and confirm that the correct variant or product has been added as expected.
Also test the uncomfortable cases: a sold-out companion, a product with multiple variants, a base item that has no useful cross-sell, and a recommendation with a long title. The goal is not merely to prove that the button works. The goal is to make sure the block remains useful when the catalogue is messy, because real catalogues always become messier than the demo case.
Step 5: make catalogue maintenance part of the merchandising workflow
Manual recommendations stay accurate only if somebody owns them after launch. Add a pairing review to the same routine that handles seasonal collection changes, discontinued products and major stock shifts. If a companion product disappears from the range, replace the relationship intentionally instead of assuming the original recommendation will remain useful forever.
The current public Öneri Kiti listing documents manual selection, a three-product limit, product-page display and direct add-to-cart behavior. It does not document an automatic inventory-aware replacement system that chooses a new companion when one disappears. Treat catalogue maintenance as a merchant responsibility unless the live product documentation later states otherwise. That boundary is important because manual control is the benefit only when the manual map is kept current.
- Review pairings when a product is discontinued or replaced.
- Check seasonal pairings before a collection launch, not after customers find stale combinations.
- Test variant-heavy companions so the shopper understands what will be added.
- Leave a product without a recommendation when there is no genuinely useful companion.
Use four pairing patterns instead of guessing
Manual recommendations become much easier when you reuse relationship logic rather than inventing every pairing from scratch. A compatibility pair connects the main product to something required or strongly useful with it. A completion pair finishes a set or look. A replenishment pair connects a durable product to the consumable it needs later. A convenience pair adds a low-friction item that saves the shopper another search.
Examples make the logic clearer: a side table with a lamp is a completion pair; a coffee machine with filters is a replenishment or compatibility pair; a dress with a bag is a styling pair; a phone case with a screen protector is a convenience pair. The categories can overlap. What matters is that the shopper immediately understands why the second product is there.
- Compatibility: the accessory or component that works with the main item.
- Completion: the product that finishes a set, room or outfit.
- Replenishment: the refill or consumable the main product will need.
- Convenience: a small related purchase that saves the shopper another search.
Do not copy the same three recommendations across the whole catalogue
Manual control is valuable only when the recommendations are genuinely product-specific. Repeating the same best sellers under every product turns the block into advertising rather than merchandising. A customer viewing a dining chair should see products that improve that buying decision, not whatever the store happens to be promoting this week.
A practical way to manage this is to work in batches. Start with a category, map its top products, then review the pairings whenever you change collections or discontinue an item. Because Öneri Kiti is manual, catalogue maintenance is part of the cost even though the app itself currently has no subscription charge.
Keep the boundary clear: this is product-page merchandising, not a post-purchase funnel
A manually selected product-page recommendation and a one-click post-purchase upsell are different jobs. Öneri Kiti's current listing describes product-page cross-sells: the merchant chooses companions, the shopper sees them while evaluating the main product, and a recommended item can be added without reloading the page. The listing does not position it as a post-purchase offer engine, checkout funnel builder or behavior-based personalization platform.
That boundary helps you buy the right tool. Use Öneri Kiti when your advantage is product knowledge and you want a small, fixed set of companions beside each item. Compare a broader upsell platform when the requirement is post-purchase offers, funnel experimentation, behavioral recommendations or another workflow that starts after the product-page decision. Free software is only economical when it actually covers the job you need.
Know when manual recommendations stop being the right tool
Manual related products are strongest when the catalogue has understandable product relationships and someone on the team knows the assortment well. They become harder to maintain when the store has thousands of rapidly changing SKUs, many localized catalogues or a need for behavior-based personalization that changes per shopper.
In that situation, paying for automation can be reasonable. Öneri Kiti is not trying to imitate a behavioral recommendation engine; its current listing explicitly emphasizes that there is no algorithm and no customer tracking. Use that simplicity when human merchandising knowledge is the advantage. Choose a different class of tool when scale makes manual curation the bottleneck.
A practical rollout plan
Do not map the entire store before you know the block fits your merchandising style. Launch on a small set of products first, inspect the mobile layout and cart behavior, and read the pairings as if you were a customer with no knowledge of the catalogue. If the reason for each recommendation is obvious, expand category by category.
- List the products that already have obvious companions.
- Install Öneri Kiti and create one to three pairings for a small pilot group.
- Add the app block to the product template through the theme editor.
- Test no-reload add-to-cart behavior and difficult variants or stock states.
- Review the pairings for relevance before scaling to the next category.
- Revisit mappings whenever products are discontinued or collections change.
- Re-check the block after publishing a different theme.
Apps mentioned in this guide
Öneri Kiti
Available in English
Hand-picked cross-sells per product, added to cart without a reload
Free · no paid plan
Frequently asked
Can I add related products to Shopify manually instead of using AI?
Yes. Öneri Kiti is built for manual cross-sells: the merchant chooses which products appear with each item rather than relying on an automated recommendation algorithm.
How many products can I recommend with Öneri Kiti?
The current Shopify App Store listing says you can choose up to three recommended products for each product.
Does Öneri Kiti charge a monthly fee or revenue share?
Its current App Store listing shows the app as Free and says there is no monthly fee or revenue share. The owner confirms there is no paid plan. Re-check the live listing before making future pricing assumptions.
Does Öneri Kiti track customers or choose recommendations automatically?
No. The current listing says it does not collect customer tracking data for recommendations and does not use an algorithm to decide which products shoppers see.
Is Öneri Kiti available in English?
Yes. The app owner confirms Öneri Kiti is available in English. ShopRadar uses the authentic App Store slug with locale=en for the English listing request; that URL setting does not change the installed app's language settings.