Let’s start with the product titles. Most electrical brands keep them short and functional, often mirroring what’s in their CMS, say “Bosch Dishwasher 60cm”, which might make sense internally, but it leaves a lot on the table when it comes to Google Shopping and AI.
A stronger title builds in the detail that customers are actually searching for or talking about, like the capacity of the dishwasher, key features, and differentiators from other brands. Suddenly, that same product becomes far more discoverable, because it aligns with real search behaviour rather than internal naming conventions (“We’re moving into a new apartment with 3 kids, it comes with nothing, what are the appliances do we need first!?”)
The same applies across the rest of the feed. High-performing feeds don’t leave gaps and are rich with attributes: GTINs, brand, product types, technical specifications, all structured in a way that helps Google confidently match products to queries (or just trust your product enough to index it). In electronics, that detail isn’t optional but allows your products to compete.
Descriptions follow the same pattern as titles. Instead of using generic copy, they should reflect how people actually search and compare before they buy. They surface the features that influence decisions, not just the ones that exist on a spec sheet.
And then there’s the operational side: pricing, availability, and consistency. When feeds are out of sync with reality, performance drops quickly. Google loses confidence, impressions fall, and spend becomes inefficient. Strong feeds need to stay aligned and should be updated, accurate, and reflective of what’s actually available to buy.
What changes when the feed is just right
When the feed starts working properly, performance doesn’t just improve but also becomes more predictable. Your products start attracting more relevant traffic, not just more traffic, clicks become more qualified, and conversion rates improve because the match between query and product is stronger.
It’s not about gaming the system or some superfancy AI adaptation; it’s simply about giving it what it needs to work properly.
Why most brands don’t get featured in AI
The challenge is that feeds are often treated as a one-off setup: They’re created, uploaded, and then left alone while attention shifts to campaigns and budgets. Over time, gaps appear, and data becomes outdated, which in time leads to missed opportunities and revenue.
At Bidnamic, feeds aren’t just cleaned up, but they’re continuously improved with the help of our own AI, trained by our experts. Product data is reshaped around how customers search, enriched with the attributes that matter, and aligned with real performance signals from Google Shopping. It’s an ongoing process, not a one-time fix.
If you want to see what that looks like in practice, you can explore it here: Feed Optimisation
