Product pages
We improve titles, specs, benefits, FAQs, product details, media labels, and structured data so AI systems can understand what each product is and who it is for.
Our AI optimization services help your products, categories, content, and website structure become easier for AI platforms, answer engines, and shoppers to understand.
Each month we focus on the pages, data, and technical signals that make your ecommerce store easier for answer engines, AI platforms, search engines, and shoppers to understand.
We improve titles, specs, benefits, FAQs, product details, media labels, and structured data so AI systems can understand what each product is and who it is for.
We add clearer collection context, buyer guidance, internal links, FAQs, and category relationships for better product discovery.
We clean up product, offer, FAQ, breadcrumb, organization, review, shipping, and return policy signals where they apply.
We fix broken URLs, canonical issues, redirect chains, crawlability problems, duplicate content, and page quality gaps.
We turn thin or unclear copy into direct answer blocks, plain-language explanations, comparison details, and helpful buying context.
We clarify your brand, products, categories, policies, expertise, and trust signals so AI systems can connect the right facts to your business.
We make AI optimization practical with a monthly process that turns audits, content gaps, structured data, and technical signals into completed improvements.
We review the catalog, templates, crawl data, product information, and current optimization opportunities.
We choose the highest-impact optimizations for the month based on plan volume, site priorities, and where the biggest gaps are.
We complete content, structured data, product data, technical, and page-quality improvements across the priority pages.
We document what changed, review the completed improvements, and use those findings to guide the next month of work.
We define the brand entity with organization, store, logo, contact, sameAs, and identifier signals that anchor AI understanding.
We connect parent products, variants, selected URLs, option values, and productGroupID so systems understand SKU families.
We model product-specific shipping rates, destinations, handling time, transit time, and delivery constraints at the offer level.
We encode return windows, eligible countries, item condition, return method, fees, refund type, and label responsibility.
We connect loyalty tiers, member-only prices, earned points, and UnitPriceSpecification data to the correct product offers.
We structure sale prices, compare-at prices, unit pricing, member prices, and visible price logic so they match exactly.
We surface certification numbers, energy labels, safety ratings, standards, warnings, and supported compliance markup where relevant.
We structure product demo, sizing, install, comparison, or care videos with metadata and key-moment markup.
We update robots rules for public product, collection, guide, image, and video URLs while keeping private and low-value paths blocked.
We add pings for product, collection, price, stock, sale, discontinued, and replacement-page changes so participating systems discover updates faster.
We expose variant changes, cart updates, filter selections, discount states, and confirmation messages in readable page state.
We publish a curated AI resources file with canonical product, category, policy, support, and resource links plus concise site context.
| Month 1 | Implement OnlineStore entity graph | We define the brand entity with organization, store, logo, contact, sameAs, and identifier signals that anchor AI understanding. | Entity graph |
|---|---|---|---|
| Month 2 | Implement ProductGroup schema on 20 products | We connect parent products, variants, selected URLs, option values, and productGroupID so systems understand SKU families. | Variant graph |
| Month 3 | Add shippingDetails to 20 offers | We model product-specific shipping rates, destinations, handling time, transit time, and delivery constraints at the offer level. | Offer shipping |
| Month 4 | Add MerchantReturnPolicy schema set | We encode return windows, eligible countries, item condition, return method, fees, refund type, and label responsibility. | Return markup |
| Month 5 | Model member pricing for 10 offers | We connect loyalty tiers, member-only prices, earned points, and UnitPriceSpecification data to the correct product offers. | Pricing graph |
| Month 6 | Mark up 10 complex pricing states | We structure sale prices, compare-at prices, unit pricing, member prices, and visible price logic so they match exactly. | Price integrity |
| Month 7 | Add compliance evidence to 10 products | We surface certification numbers, energy labels, safety ratings, standards, warnings, and supported compliance markup where relevant. | Compliance signals |
| Month 8 | Add key moments to 5 videos | We structure product demo, sizing, install, comparison, or care videos with metadata and key-moment markup. | Video extraction |
| Month 9 | Tune AI crawler access ruleset | We update robots rules for public product, collection, guide, image, and video URLs while keeping private and low-value paths blocked. | Crawler policy |
| Month 10 | Implement IndexNow event system | We add pings for product, collection, price, stock, sale, discontinued, and replacement-page changes so participating systems discover updates faster. | Freshness signals |
| Month 11 | Reflect DOM state on 3 workflows | We expose variant changes, cart updates, filter selections, discount states, and confirmation messages in readable page state. | Agent readability |
| Month 12 | Create llms.txt resource file | We publish a curated AI resources file with canonical product, category, policy, support, and resource links plus concise site context. | AI resource map |
A 12-month implementation engine for ecommerce brands that want steady AI optimization across products, collections, content, technical signals, and machine-readable site structure.
$1,500/mo
Setup $750
$3,500/mo
Setup $1,500
$6,500/mo
Setup $2,500
* Every plan includes monthly implementation from our AI optimization library. Higher plans unlock more complex, higher-leverage work, deeper strategy, and more hands-on prioritization.
A 12-month implementation engine for ecommerce brands that want steady AI optimization across products, collections, content, technical signals, and machine-readable site structure.
Starter costs $1,500/mo with a $750 setup fee. For smaller ecommerce stores that need steady AI optimization in manageable monthly sprints.
Advanced costs $3,500/mo with a $1,500 setup fee. For growing ecommerce brands that want consistent monthly implementation across products, collections, content, and technical signals.
Pro costs $6,500/mo with a $2,500 setup fee. For larger ecommerce brands that want a deeper AI optimization program across their catalog, templates, content, and infrastructure.