AI VISIBILITY · E-COMMERCE

AI Visibility for E-commerce: get recommended when AI does the shopping

Your store can look perfect to humans and still be an empty shell to the engines that now answer “what should I buy?”

The shift

Shoppers ask assistants “which earbuds should I get for the gym” or “is this store legit for refurbished phones”, and act on the answer. Increasingly the assistant doesn't just advise: AI agents browse, compare and check out on the buyer's behalf. If the engines can't read your product pages, you're not losing a click. You're losing the recommendation, and the competitor who is cited takes the order.

Most modern storefronts are client-rendered. The page a human sees is assembled in the browser; the raw HTML an AI crawler fetches can contain no product name, no price, no offer. That gap is invisible in your analytics and decisive in AI answers.

What you see

The dashboard, in your category's terms

Agent Pulsewhich AI crawlers and shopping agents hit your store, what they fetch, and what they can actually read when they get there.
Citationswhich retailers, review sites and guides the engines cite for your category's buying prompts, and whether you're one of them.
Content Pulseschema-aware authoring that puts Product JSON-LD (name, price, offer, availability) into the HTML crawlers see.
Prompt Pulsethe buying prompts that matter for your catalog (“best…”, “…vs…”, “is … worth it”), tracked daily across five engines.
What we fix

Shipped with your team, verified live

Rendering, schema, sitemaps, crawler policy, shipped with your engineering team and verified on production, not assumed from staging. For BytePe, we found 7 of 7 sampled product pages client-side rendered with no product name, SKU, price or offer in the raw HTML. We moved the store to server-side rendering with Product JSON-LD, replaced broken routes with a 630-URL clean product sitemap, and opened robots.txt to GPTBot, ClaudeBot and PerplexityBot.

15 → 71GEO READINESS, <4 WEEKS
4.7×READINESS LIFT
630CLEAN PRODUCT URLS
76CHATGPT READINESS, FROM SINGLE DIGITS

How we measure

Consistent measurement windows, normalized per monitored day, never cherry-picked dates.
Control brands and placebo checks separate campaign effect from the rising AI-search tide.
Every fix is verified live on production by independent audit before we count it.

The proof behind this page

BytePe, a phone-subscription commerce brand, went from a GEO readiness score of 15 to 71 in under four weeks, a 4.7× lift, with SSR and Product JSON-LD live on production June 9 and the sitemap live-verified June 11. Platform readiness, all from single-digit baselines: ChatGPT 76, Google AI 74, Perplexity 73, Gemini 71. Foundations first, honestly: impact measurement connects next, and we don't publish numbers before the data supports them.

See it on your own prompts.

Book a demo and we run your category's questions live: what the engines say about you today, and what we'd fix first.