Don’t Let AI Wreck Your Feed Optimisation

Let’s be blunt! AI will ruin your feed optimisation and brand if you let it.

Wrong prices. Wrong variants. Wrong content - all pushed through your Shopping, PMax and Paid Social campaigns before anyone notices. That isn’t a small quirk; that’s broken feed optimisation, wasted budget and revenue down the drain. At the same time, you can’t sit it out. Platforms are weaving AI into bidding, matching and creative. Competitors are trialling new tools. Doing nothing with AI is now as risky as doing it badly.

This is what we’re going to unpack: how AI quietly breaks product data optimisation when it’s left unsupervised, where it actually adds value to product feed management, and why our AI + rules + human-expert-led model is non-negotiable if you care about brand protection and performance.

The Red Flags: How AI Can Wreck Your Product Feed

AI is great at high-volume feed work, but it has zero instinct for brand protection. It doesn’t know your tone of voice, legal lines or product hierarchy, yet whatever it outputs can end up in all your product feeds.

Used blindly, AI can turn product feed management into a liability by pushing:

• Sloppy or incorrect titles

• Misspelt brand names

• The wrong category / Google Product Category

• The wrong size or variant

• Off-brand copy your marketing team would never approve

…into thousands of ads at once. If you’ve ever had a “why on earth are those products serving like that?” moment, that’s AI-driven optimisation gone wrong.

AI isn’t the enemy here - ungoverned AI is. Used properly, it can actually make product data optimisation and feed management faster and cleaner.

Where AI Actually Helps in Product Feed Management

Now for the good bit: used properly, AI is a superb accelerator for product feed management and product data work.  It can:

• Enrich titles - generate structured, search-led title options at scale.

• Complete attributes - fill gaps in fields like colour, size, material, gender and age range.

• Support category & taxonomy - suggest likely Google Product Categories and product types.

• Assist localisation - propose language and formatting tweaks for new markets.

• Improve data hygiene - flag inconsistencies that cause disapprovals or weak matching.

• Standardise naming - align conventions across large catalogues and channels.

The catch? None of this works if your source data is a mess. AI just optimises the wrong thing faster. That’s where most feed management setups fall over.

The Catch: Your AI Is Only as Good as Your Source

Most brands already have a feed management setup - a tool, an in-house process, or an external partner. That does not guarantee the underlying data is in good shape.

If your Product Detail Pages (PDPs) or master feed are thin, inconsistent or under-enriched, AI will:

• Infer the wrong attributes from vague descriptions.

• Lean on generic, low-intent wording in titles.

• Misclassifies products because categories and product types are unclear.

• Treat clearance and premium ranges the same.

In short: garbage in, “optimised” garbage out.

Serious product feed management means fixing the foundations first:

• Clean, consistent attributes across the catalogue.

• Channel-ready taxonomies and product types.

• Naming rules that reflect how people search and how you sell.

• Clear prioritisation of hero, long-tail, clearance and seasonal products.

If your current provider isn’t talking about these basics, AI is probably being bolted on, not built into your optimisation strategy.

FeedSpark Uses AI: Inside FeedHero, Not Instead Of

We’ve integrated AI directly into our processes - not as a gimmick, but as a controlled accelerator on top of strong data foundations. Our 3D Framework keeps AI optimisation powerful and safe:

1. AI Assistance

Inside FeedHero, AI speeds up core feed optimisation tasks:

• Title and attribute suggestions

• Categorisation support

• Proactive issue spotting across large catalogues

2. Rules & Governance

This is the filter between AI output and live channels:

• Channel policies, required fields and character limits

• Brand naming conventions and product data standards

• Template logic across categories, campaigns and markets

If something doesn’t fit, it doesn’t ship.

3. Human Expert Oversight

Our specialists act as data guardians over your product feed management:

• QC and alignment with brand tone and positioning

• Commercial priorities (margin, stock, promotions, launches)

Performance insight across Shopping, PMax, Meta, TikTok and more.

AI accelerates. FeedHero structures. Our experts stay accountable.

That’s the difference between “we turned on the AI setting” and genuinely intelligent, strategic feed management.

Ready to Pressure-Test Your Feed Optimisation?

If you’re already using a tool, partner or agency, the real question isn’t “Are we using AI?” - it’s:

• Are we using AI on top of clean, enriched data?

• Do we have clear rules and governance between AI output and live feeds?

• Is anyone truly accountable for how our brand appears across Shopping and Paid Social?

If those answers feel even slightly shaky, it’s time to take a closer look.

Use AI in your feeds, absolutely… just don’t let it run your feeds without having FeedSpark in charge.

Request your free Google feed audit and benchmark your current product feed management against how product data should look in an AI-enabled world.