AI Mode has 75 million daily users. Stores with AI-ready feeds are seeing 8x traffic increases and 15x order increases. Stores without them are watching impressions decline.
This checklist scores your feed across the 5 signals AI Mode evaluates when selecting products. Run it against your top 20 products by revenue. The gaps you find are the gaps keeping you invisible.
Based on $120M+ in managed Shopping spend across 20+ brands.
For each item, score 0, 1, or 2:
Run this on your top 20 products. If your top sellers fail this checklist, your long-tail products are almost certainly worse.
This is the highest-impact factor. 99.9% completion = 3-4x higher AI visibility vs 80% completion.
| # | Item | Score (0-2) |
|---|---|---|
| 1 | Title: 140-150 characters with Zone 1 (keyword) + Zone 2 (attributes) + Zone 3 (brand) | ___ |
| 2 | Description: 800-1,100 characters (150-200 words minimum) | ___ |
| 3 | GTIN present on all products where available (30%+ visibility lift) | ___ |
| 4 | product_type: full hierarchy, 3+ levels deep (not flat categories) | ___ |
| 5 | google_product_category: most specific category available | ___ |
| 6 | image_link + additional_image_link (3-5 lifestyle images) | ___ |
| # | Item | Score (0-2) |
|---|---|---|
| 7 | product_highlight: 6-10 bullet points with specific, benefit-focused claims | ___ |
| 8 | product_detail: structured key-value specification pairs | ___ |
| 9 | item_group_id: present on all variant products | ___ |
| 10 | Category-specific attributes filled (color, size, material, gender, age_group) | ___ |
| 11 | shipping_weight present | ___ |
| 12 | custom_label_0 through custom_label_4 configured | ___ |
Signal 1 Score: ___ / 24
Pages with structured data are 40% more likely to appear in AI-generated results.
| # | Item | Score (0-2) |
|---|---|---|
| 13 | Product schema with all required properties (name, image, description, SKU, brand, offers, GTIN) | ___ |
| 14 | AggregateRating schema (if you have reviews) | ___ |
| 15 | FAQ schema with 5-10 genuine customer questions per product page | ___ |
| 16 | HowTo schema on products with usage processes (care, application, styling) | ___ |
| 17 | Schema validated with zero errors (Google Rich Results Test) | ___ |
| 18 | FAQ questions match conversational query patterns (not keyword-stuffed) | ___ |
| 19 | FAQ answers include specific product details (not generic category info) | ___ |
Signal 2 Score: ___ / 14
This signal is growing in importance as AI Mode adoption increases.
| # | Item | Score (0-2) |
|---|---|---|
| 20 | Titles include natural language modifiers ("Built for," "Designed for," "Ideal for") | ___ |
| 21 | Descriptions address specific use cases (not just features) | ___ |
| 22 | Descriptions include target user segments ("for runners doing 25+ miles per week") | ___ |
| 23 | Q&A pairs created for top 20% of SKUs by revenue | ___ |
| 24 | Search Terms report reviewed for conversational query gaps | ___ |
Signal 3 Score: ___ / 10
| # | Item | Score (0-2) |
|---|---|---|
| 25 | Primary image: clean product shot, white background, high resolution | ___ |
| 26 | 3-5 lifestyle images showing product in contextual use | ___ |
| 27 | Detail images for key features mentioned in descriptions | ___ |
Signal 4 Score: ___ / 6
| # | Item | Score (0-2) |
|---|---|---|
| 28 | Inventory syncs at least every 4 hours (ideally every 15 minutes) | ___ |
| 29 | Pricing syncs at least every 4 hours (ideally every 30 minutes) | ___ |
| 30 | Content (titles, descriptions) updated within the last 90 days | ___ |
Signal 5 Score: ___ / 6
Google's quality systems penalize template-heavy feeds.
| # | Item | Score (0-2) |
|---|---|---|
| 31 | Title similarity across catalog below 60% (varied openings, not the same pattern) | ___ |
| 32 | Description 3-gram overlap below 5% (varied language, not copy-paste with word swaps) | ___ |
Anti-Templating Score: ___ / 4
| Signal | Your Score | Max |
|---|---|---|
| Attribute Completeness | ___ | 24 |
| Structured Data | ___ | 14 |
| Conversational Matching | ___ | 10 |
| Image Quality | ___ | 6 |
| Freshness | ___ | 6 |
| Anti-Templating | ___ | 4 |
| TOTAL | ___ | 64 |
Your feed is invisible in AI Mode. Products are missing from conversational answers entirely. Quick wins exist, especially in attribute completion and GTINs.
Immediate action: Fix GTINs (30%+ visibility lift). Fill required attribute columns. This alone can move you from invisible to partially visible.
Foundation exists but significant gaps in structured data and conversational matching. You're appearing in some AI results but missing the majority of opportunities.
Next step: Implement FAQ schema on product pages. Enrich descriptions to 800+ characters. Add product_highlight bullets (minimum 6).
Strong foundation with room for optimization. You're appearing in AI results but not dominating your category.
Next step: Build Q&A pairs for top 20% of SKUs. Add conversational modifiers to titles. Implement feed multiplication for top products.
Full AI readiness. Your products are structured for conversational commerce. Focus on monitoring, freshness, and expanding Q&A coverage to your full catalog.
Next step: Set up the weekly monitoring rhythm. Track AI Mode impression share. Refresh Q&A pairs quarterly.
If you scored below 35, start here. These fixes have the highest impact-to-effort ratio:
| Fix | Impact | Time |
|---|---|---|
| Add missing GTINs | 30%+ visibility lift | 1-4 hours |
| Fill required attribute gaps | Proportional to gaps filled | 2-8 hours |
| Add product_highlight bullets (6-10 per product) | Indexed as searchable facts | 3-6 hours |
| Implement Product schema (if missing) | 40% more likely in AI results | 2-4 hours |
| Enrich descriptions to 800+ characters | AI matching threshold | 4-12 hours |
| Add FAQ schema with 5 Q&As per product | Conversational query coverage | 4-8 hours |
Total quick-win implementation: 16-42 hours depending on catalog size.
If you scored Not Ready or Partially Ready: The Google Ads AI Agentic System ($4,997+) walks you through every optimization in priority order, with AI agents that handle the audit-to-readiness work end to end.
If you scored Competitive or AI Mode Ready: Run this checklist monthly to catch regression. New products added without full attributes, schema errors from theme updates, and freshness decay are the three most common ways ready feeds become unready.
75 million daily AI Mode users. The checklist you just ran tells you whether your products are visible to them or not. Every gap is a gap between you and the stores that are already appearing in AI-generated answers.