Product titles are one of the biggest levers on shopping-ad performance, because ad networks match them to what shoppers search. Front-load the brand, product type, and the attributes that matter — color, size, model — and cut the fluff. In Renable you can build a structured title from your existing feed columns with a rule, or rewrite titles with AI.
What makes a product title convert#
A good shopping title reads like the search a buyer would type, not like a marketing headline. The same principles apply on every ad network:
- Front-load brand and product type. Lead with the brand and what the product actually is — "Logitech wireless gaming keyboard", not a bare model code or a slogan. Shoppers scan the first few words, and so do the ad networks matching your product to a search.
- Add the attributes shoppers search on. Color, size, material, capacity, model, gender, quantity — whatever distinguishes this product in its category. For apparel that's usually color and size; for electronics, capacity or compatibility.
- Keep it concise and specific. Many ad placements truncate long titles, so the words that matter have to come first. [VERIFY: exact title length limits per network — e.g. Google Merchant and Meta.]
- Cut the fluff and prohibited wording. No promotional text ("best price", "free shipping", "sale"), no ALL CAPS, no emoji, no repeated keywords. Ad networks reject or throttle titles that break their content rules — see Remove prohibited wording from titles.
There are two ways to improve your titles in Renable. Use a rule when your feed already has clean columns to assemble from, and AI when the source titles are inconsistent, thin, or missing the right words.
Method 1: Build a structured title from your columns with a rule#
When your feed already carries clean brand, product type, color, and size columns — but the title itself is weak, or just a bare model number — assemble a better title out of those columns with a rule. The title then rebuilds itself on every import, so new products get the same structure automatically without you touching them again.
- Open the catalog and go to the Rules tab.
- Add a rule. Leave it with no conditions to restructure every product's title, or add a condition to target one group — for example, only apparel.
- Add a Set field action that writes the Title field.
- Build the value from your columns in order — brand, then product type, then the attributes that matter (color, size, material). The value editor lets you combine columns and tidy each one up step by step, such as trimming stray spacing or fixing casing. For how the value editor and "+ Add step" work, see Fixing your feed data with rules.
- Publish the catalog so the new titles go live. Nothing reprocesses until you publish.
A rule is deterministic and costs no credits — the same inputs always produce the same title — which makes it the right tool whenever your columns are structured enough to assemble from. It's covered in full in Fixing your feed data with rules; this is simply that mechanism aimed at your Title field.
Method 2: Generate or rewrite titles with AI#
When your feed's titles are messy, inconsistent, or missing the words shoppers actually use, let AI write them instead. You brief it once — like briefing a copywriter — and it writes a title for every product in scope, in the product's own language.
- From your project or catalog, create a prompt and choose Write product titles as the type.
- In the Instructions, describe the title you want: front-load brand, product type, and the key attributes; keep it concise; avoid promotional wording; and write in the product's native language.
- Preview it with Generate on a real product to check the result — and to see the credit estimate — before applying it at scale.
- Turn the prompt on with the Activate prompt toggle. From then on it runs automatically whenever new or changed products are processed. To retitle products you've already processed, use Ask Aimée to reprocess from the project's ... menu.
For the full prompt editor — scoping with Use as, choosing a model, fact-checking, and how credits are estimated — see Working with prompts.
AI costs credits per product, but it handles the cases a rule can't: source data that's too inconsistent for a single pattern, or titles that need real language rather than concatenated fields.
Which method to use#
- Reach for a rule when your columns are already clean and structured. It's predictable, repeatable, and free of credit cost.
- Reach for AI when titles are inconsistent or missing the right words, or when the products vary too much for one pattern to fit them all.
- Combine them. A rule can enforce structure while an AI prompt fills in where the source data is too thin — there's no rule against using both across a catalog.
Or ask Aimée#
You don't have to set either method up by hand. Describe the outcome you want — "rebuild every title as brand, type, then color and size", or "write cleaner product titles for my apparel" — and Aimée can build the rule and publish it once you approve, or set up a title-writing prompt for you to preview and run.
FAQ#
Do better titles change what shoppers see right away?
Not instantly. With a rule, title changes stay in a draft until you Publish, then take effect on the next import and channel regeneration. With an AI prompt, an activated title prompt runs when products are next processed — use Ask Aimée to reprocess to cover products already processed. Either way, ad networks pick up your updated feed on their own schedule.
Should I put the price, a discount, or "free shipping" in the title?
No. Promotional wording gets titles rejected or throttled by the ad networks, even though it looks tempting. Keep offers out of the title and see Remove prohibited wording from titles.
How long should a product title be?
Put the essential words — brand, product type, key attributes — first, because many placements truncate longer titles. [VERIFY: exact maximum and recommended title lengths per network — e.g. Google Merchant and Meta.]