If you spend your days tweaking product titles, checking Google Shopping disapprovals or wondering why last week's hero SKU suddenly dropped, you already know the chores of feed optimisation. What happens when you hand those tasks to a multimodal large‑language model? In a new YouTube walkthrough, Feedoptimise puts xAI's Grok 4 through 10 real‑world tasks. The result isn't just another AI demo; it's a blueprint any merchant or performance marketer can use today.
Below is the play-by-play, along with a few key takeaways on where Grok-grade models fit into the growing stack of retail media tooling.
1. Title Optimisation for Maximum Visibility
Product titles are the first hook for shoppers, but they're often bland or keyword-deficient. Using Grok 4's Title Optimiser modifier in Feedoptimise, you can feed in attributes like gender, description, category, size, color, and brand. The AI restructures the title to incorporate more relevant keywords, making it more appealing for search algorithms. For instance, a basic title might evolve into something richer and more SEO-friendly, boosting click-through rates on Google Shopping.
2. Auditing Titles with Precision Scoring
Once optimised, how do you measure success? The video introduces a Grok Prompt modifier to audit titles against key criteria, including keywords, eye-catching appeal, relevance, and an overall score. By pasting a custom prompt that requests a flat JSON output with scores, merchants get quantifiable insights. Then we can use Analysers to track the history of scoring our changes.
3. Richer Product Types
Google’s product_type field is heavily underused. A two‑word string like “Women’s pants” barely nudges the algorithm. Grok 4 steps in to expand them using prompts that draw from title, description, and category attributes. The result? A keyword-laden product type optimized for Google Shopping, such as one improved with terms related to style, material, and seasonality. This subtle tweak can improve categorization and discovery.
4. Seamless Translations for Global Reach
Expanding to international markets? AI translations are fast and reliable. A straightforward prompt translates descriptions to languages like German, returning only the cleaned-up text. In an era of borderless e-commerce, this feature democratises global selling without the need for costly human translators.
5. Extracting Attributes from Images
Text data has limits, but images tell a fuller story. Grok 4's image analysis shines here: Provide a product image URL in a prompt, and it extracts Google Shopping attributes like age group, brand, color, gender, material, product type, and size, outputting them as JSON. The demo accurately identifies even subtle details, such as branding, demonstrating AI's prowess in visual data mining. This is particularly useful for feeds with incomplete text attributes, filling gaps to meet platform requirements.
6. Picking the Best Creative for Social Ads
Not all product images are created equal, especially for social ads. With multiple image URLs, Grok 4 can evaluate and select the best one based on context, choosing the most engaging lifestyle shot. This automation could revolutionize ad creative workflows, ensuring visuals align with Facebook or Instagram campaign goals without manual review.
7. Automated Policy Compliance
Google Shopping disapprovals often stem from non-compliant language, such as misleading health claims. AI acts as a policy checker: Input a description, and it scans for issues (e.g., under "Healthcare and medicine" guidelines), then rewrites it by removing or rephrasing risky terms. The video demonstrates how this preserves essential product information while making the text safe, preventing feed rejections, and saving merchants from costly downtime.
8. Extracting Review‑Driven Keywords
Product reviews are goldmines for insights. Using AI, you can prompt it to search for reviews based on a product's title and GTIN, then compile a comma-separated list of positive keywords (e.g., what buyers love about comfort or durability). These can fuel ad copy or title rebuilds, aligning marketing with genuine customer sentiment. It's a smart way to turn user-generated content into actionable data.
9. Forecasting Performance with Data Analysis
Why guess when AI can predict? Feed Grok 4 a 7-day performance report (including metrics like CTR and conversions), and it calculates a potential score for the next week. We suggest using this in custom labels to prioritize high-potential items in campaigns. While not a crystal ball, this AI-assisted forecasting automates what was once manual analysis, helping allocate budgets more effectively.
10. Near‑Real‑Time Competitor Pricing
The most ambitious idea: Enable live web search in Grok 4 to scout US market offers for a product title, returning a list of the top 5-10 deals. You can then compare their prices via rules in Feedoptimise. This experimental approach highlights AI's potential for real-time competitive intelligence.
The Bigger Picture: AI Future is here!
What truly sets Feedoptimise apart is its deep integration with AI models, making it the only platform on the market offering such advanced AI capabilities tailored specifically for product feed optimization. This unique combination enables merchants to leverage cutting-edge AI for a wide range of applications, from automated audits to image analysis, surpassing the generic tools commonly found in competitors. As e-commerce increasingly relies on smart data strategies, Feedoptimise's pioneering approach delivers unmatched efficiency, compliance, and performance insights, positioning it as an essential tool for forward-thinking retailers. If you're in the space, diving into this integration could transform your operations and give you a real edge in a crowded market.