Foglift
For E-Commerce
Your products need to show up in AI search
Shoppers are asking ChatGPT and Perplexity for product recommendations. If AI shopping assistants aren't recommending your store, they're recommending your competitors. Foglift fixes that.
Why e-commerce can't ignore AI search
37%
of consumers start searches with AI
Consumers are bypassing Google and asking AI assistants directly for product recommendations, reviews, and comparisons (Bain & Company, 2025 via Search Engine Land).
$0
to check your store's AI readiness
Run a free Foglift scan to see your product schema, structured data, and AI Readiness score. No signup, no credit card.
6x
categories in one scan
SEO, GEO, AEO, Performance, Security, Accessibility — all in one report. Know exactly what AI sees when it looks at your store.
Built for online stores
Product schema detection — verify JSON-LD, OpenGraph, and rich snippets
AI shopping assistant monitoring — see how ChatGPT describes your products
Competitor product tracking — know when rivals get recommended over you
Structured data validation — catch missing prices, ratings, and availability
Free unlimited website scans — no signup required
Automated daily rescans with email alerts on score changes
Content brief generator for product and category pages
White-label reports for agencies managing e-commerce clients
API + CLI + MCP connector on every paid plan
free tier with 200 tokens — no credit card required
Your AI product discovery journey
1
Audit your store
Scan your site for free and see exactly what structured data AI can read. Find missing product schema, broken markup, and gaps in your AI Readiness score.
2
Fix & monitor
Upgrade to Launch to track your AI visibility weekly. Get alerts when product recommendations change. API access from day one.
3
Outrank competitors
Scale with Pro for daily monitoring, competitive product tracking, content briefs for category pages, and white-label client reports.
E-commerce-friendly pricing
Start free with unlimited scans. Upgrade to Launch ($49/mo) when you're ready for monitoring. Every plan includes API access, CLI, and MCP — no enterprise lock-in.
See All PlansWhy e-commerce needs AI search optimization — the data
37% of consumers now start product searches with AI assistants rather than Google, bypassing traditional search entirely (Bain & Company, 2025 via Search Engine Land). For e-commerce brands, this is a new discovery channel that operates independently of your Google rankings.
One in three Gen Z consumers prefer AI platforms over other sources to guide purchase decisions (BigCommerce, 2025). As this demographic gains purchasing power, AI product recommendations will become an increasingly large share of e-commerce discovery.
AI-referred visitors convert at 4.4x the rate of standard organic traffic (Averi, March 2026, analysis of 680M citations). When a shopper arrives from an AI recommendation, they have higher purchase intent than those from traditional channels.
Product pages with proper schema markup (JSON-LD Product, Review, Offer types) are significantly more likely to be cited by AI engines. AI models rely on structured data to understand pricing, availability, and ratings — the same signals that power Google rich results also feed AI recommendations (Google Search Central, 2025).
Sources & Further Reading
- Bain & Company, 2025 (via Search Engine Land) — 37% of consumers start product searches with AI instead of traditional search.
- BigCommerce, “AI Commerce Report,” 2025 — 33% of Gen Z prefer AI platforms for purchase decisions.
- Averi, “AI Citation Analysis,” March 2026 — 680M citations analyzed; AI-referred visitors convert 4.4x higher than organic.
- Google Search Central, “Structured Data Guidelines,” 2025 — Product, Review, and Offer schema for rich results and AI extraction.
- SE Ranking, “AI Citation Study of 129,000 Domains,” 2025 — brand mentions and referring domains as top citation predictors.
Frequently asked questions
How do AI shopping assistants recommend products?
AI engines like ChatGPT, Perplexity, and Google AI Overview pull from product pages, reviews, structured data, and web content to generate product recommendations. Foglift monitors whether your products appear in these AI-generated lists and how they're described compared to competitors.
Does Foglift validate my product schema markup?
Yes. Foglift's Website Audit checks your product schema (JSON-LD), structured data, and rich snippets. Proper product schema helps AI engines understand your catalog and include your products in shopping recommendations.
Can I track how competitors appear in AI product recommendations?
Yes. Foglift lets you monitor prompts like 'Best running shoes under $150' or 'Top-rated wireless headphones' and see which brands AI engines recommend. Track your position relative to competitors over time.
How does AI search affect e-commerce sales?
Consumers increasingly use AI assistants to research purchases before buying. If your products don't appear in AI-generated recommendations, you're losing sales to competitors who do. Foglift helps you identify and close these visibility gaps.
What e-commerce platforms does Foglift work with?
Foglift works with any e-commerce site regardless of platform — Shopify, WooCommerce, Magento, BigCommerce, custom builds, and more. It analyzes the published pages, not the underlying platform.
Ecommerce AI visibility guides
AI Search Optimization for Ecommerce
How to get your products recommended by AI shopping assistants.
AI Search Ranking Factors: What Drives Citations
Data-backed analysis of what makes AI engines recommend one brand over another.
AI Search and Local SEO
How AI engines handle location-based product recommendations.
Content Freshness and AI Citations
Why updating product pages regularly increases AI engine mentions.
How to Appear in AI-Generated Answers
Practical guide to getting your ecommerce brand cited by ChatGPT and Perplexity.
Your competitors are already optimizing for AI. Are you?
30 seconds to your first scan. See exactly how AI shopping assistants see your store.
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