That model number isn’t a mistake. It’s on the box, in the spec sheet, and in the supplier feed. Pasting it into the Shopify title field is the fast, accurate move for a large catalog. Rewriting every title by hand isn’t realistic at scale. The problem isn’t that the model number is wrong. Most people shopping for electronics don’t already know it. They’re describing what they want the thing to do. A title built entirely from manufacturer naming doesn’t contain a single word that matches.

Where the model-number-only title habit actually comes from

The bottom line: electronics titles inherit manufacturer naming by default because that naming is genuinely accurate and it’s the fastest way to list a catalog — the habit isn’t careless, it just targets the wrong audience.

Distributor feeds, spec sheets, and supplier CSVs almost always list products by official name: brand, model number, sometimes a part code. That’s the correct identifier for inventory, warranty claims, and comparison shopping. Importing that string as the title is faster than writing a new one for every SKU. The trouble: “correct” and “how your customer searches” are two different lists. Electronics naming conventions are built for the first one.

What buyers actually type into Google instead

The bottom line: most search volume, measured across the web, carries no brand or model name at all — and the plain-language phrasing that replaces it is spread thin across dozens of different wordings, not concentrated in one popular alternative term.

Ahrefs analyzed roughly 150 million U.S. search queries and found that only 45.7% of search volume is branded. A branded query includes a specific brand, product, or model name. The majority, weighted by actual search volume, contains no brand or model term at all. If your entire product title is a manufacturer string, you’re writing for the minority of searchers. Not the majority.

The long tail isn’t one popular phrase

The generic side of that split isn’t one obvious runner-up phrase either. In Ahrefs’ database, terms with under 10 monthly searches make up 93% of roughly 2.3 billion U.S. keywords tracked. Translated to your electronics catalog: shoppers aren’t typing “Sony WH-1000XM5” or a single well-known substitute for it. They type phrases like “headphones for working from home” or “best headphones for glasses wearers.” A title with none of that language matches none of those searches.

The model number isn’t wrong to include — it’s wrong to rely on alone

The bottom line: comparison shoppers who already know exactly what they want do search by model number, so removing it isn’t the fix — the fix is making sure it’s not the only language on the page.

Comparison shoppers do search by model number — “WH-1000XM5” or “Anker A1647.” That’s real, high-intent traffic; removing the model number would cost you that segment for no reason. Google’s own product-feed guidance for Merchant Center reflects this too. Recommended electronics titles follow a Brand + Product + Model Number + Key Specs structure, not model number alone. The fix isn’t “stop using manufacturer naming.” It’s “stop using only manufacturer naming.” Most electronics product pages do the first half of that structure and skip the second. (For how Google actually renders and truncates that title once it’s live, see our guide to Shopify title tags.)

How to fix the mismatch without losing the spec sheet

1. Keep the model number, build the plain-language layer around it

Don’t delete or rename anything in your spec table — model numbers, part codes, and technical specs are facts, and comparison shoppers rely on them. Add the descriptive layer around them instead: what the product does, who it’s for, or the situation it solves, in the words a customer would actually type.

2. Write to the use case, not just the product category

“Wireless earbuds” is a category. “Wireless earbuds that don’t fall out running” is a use case. It’s closer to how a real search is typed than either the category name or the model number. The Ahrefs long-tail numbers above explain why this works. That specific phrasing has a real, if small, share of demand that a spec-only title can’t touch at all.

3. Prioritize by catalog size and traffic, not alphabetically

If you’re carrying hundreds of SKUs across dozens of brands, start with your best-selling lines and highest-traffic product pages. A rewritten title on a low-traffic accessory barely moves anything; the same fix on your top 20 sellers is where the visibility gap actually gets closed.

4. Check the meta description and alt text too, not just the title

The same manufacturer-naming habit usually carries into the meta description and image alt text. They’re often copy-pasted from the same spec sheet. A fix that only touches the visible product title leaves two more fields still speaking manufacturer instead of buyer.

What Plug In SEO actually automates here (and what it doesn’t)

The bottom line: Keyword Studio finds the plain-language terms buyers actually search for a given product, and the bulk meta editor applies that language across your whole catalogue in one template — it doesn’t decide what those terms should be for you, and it doesn’t rewrite the body product description.

Keyword Studio’s auto-research pulls suggestions from Google Search Console and the wider web for each product page. It ranks them by priority — must-use, good to use, nice to use, avoid — along with volume and competitiveness. Once you’ve picked the right terms, the bulk meta editor uses a template. A variable like %% product.title %% keeps the product name in place while your text wraps around it — something like %% product.title %% — Over-Ear Headphones for Home Office | Your Store.

What the app flags and what it doesn’t touch

The model number stays put as the anchor. That plain-language layer wraps around the model number across every product in one pass. The app flags any template that drops the variable, preventing identical static text across every page. The Scanner checks whether target keywords appear in the title, description, alt text, and file name. It flags pages where the spec-sheet habit slipped through. What it doesn’t do: decide which plain-language phrase is right for a given product. That’s still a judgment call informed by the research. And it doesn’t rewrite the full product description in bulk — that’s a different tool’s job.