AI Search & Agent Readiness for eCommerce

• What ChatGPT, Perplexity, Gemini and AI Overviews currently say about your brand and products
• Competitor citation benchmark: who AI recommends in your niche and why
• Technical readiness scan: schema coverage, feed completeness, crawlability for AI bots
• Prioritized roadmap: quick wins vs strategic fixes

• Product, Offer, Review, FAQ, Organization and Breadcrumb schema across the catalog
• Pages with complete Product markup get cited by AI engines ~2.5-3x more often (Bloomreach research)
• Validation, deduplication and monitoring in CI - markup that never silently breaks

• Complete attributes: availability, pricing, variants, shipping, returns policy
• Google Merchant Center, Perplexity Shopping and marketplace feed alignment
• Daily+ freshness - stale feeds are the top reason agents skip a store
• Clean product data first - see AI Product Tagging & Enrichment

• llms.txt with your key pages and brand facts (works only combined with schema & feeds - we're honest about that)
• AI crawler access policy: GPTBot, ClaudeBot, PerplexityBot, Google-Extended in robots.txt
• Server-side rendering check: what AI bots actually see on your pages

• Enrollment and setup of Shopify's agent-facing catalog
• Storefront MCP integration so agents can query products directly
• Perplexity Merchant Program onboarding
• Built on a solid Shopify foundation

• Self-contained, quotable answers on category and product pages
• FAQ blocks engineered for AI Overviews and LLM citation
• Entity consistency: same brand facts on site, authoritative sources, directories
• Complements classic SEO rather than replacing it

• Monthly tracking: your share of AI answers for target queries
• Engine-by-engine breakdown (ChatGPT, Perplexity, AI Overviews, Rufus where measurable)
• Iteration loop: what got cited, what didn't, what we change next
• Powered by reliable data pipelines

GEO is the practice of making your brand and products visible and quotable in AI-generated answers - ChatGPT, Perplexity, Google AI Overviews and shopping agents. It combines structured data, optimized feeds, technical readiness and quotable content. It complements classic SEO rather than replacing it: the same foundation improves both.

Classic SEO optimizes for ranked lists of links; GEO optimizes for being the answer. AI engines favor structured data, complete product feeds, self-contained answers and consistent brand facts across the web. Much of the work is engineering (schema, feeds, rendering), which is why an SEO-only agency usually can't deliver it end-to-end.

We track a fixed set of buying-intent queries monthly across ChatGPT, Perplexity and AI Overviews, and record whether your brand is cited, how it's described, and who else is recommended. You get a share-of-voice report per engine, plus referral traffic from AI sources in your analytics.

Technical foundation (schema, feeds, llms.txt, crawler access) ships in 4-6 weeks. AI engines typically re-crawl and update answers within weeks after that, but citation growth is gradual - expect meaningful movement in 2-4 months. That's also why starting before competitors matters.

Yes - your SEO work is the base, but it doesn't cover feeds for shopping agents, llms.txt, agent catalogs or citation monitoring. Gartner forecasts traditional search traffic down 25% by end of 2026, while AI referrals grow and convert up to 42% better. This protects the channel your SEO built.

No one controls AI engines' outputs, and anyone promising specific citations is overselling. What we commit to: the full readiness foundation, honest monthly measurement, and iteration based on what actually gets cited in your niche - the same approach we apply to our own site.