seo-ecommerce

To run an ecommerce SEO audit, provide a product page URL to extract on-page signals like titles, meta descriptions, headings, and images, then receive actionable optimization steps and schema validation. The analysis evaluates internal linking and produces concrete recommendations for better crawlability.

Yes, you can validate and augment Product schema for rich results. The schema enhancement process checks existing structured data against requirements for Google Shopping visibility and provides augmentation steps to improve product listing crawlability and rich snippet eligibility.

DataForSEO API calls integrate Google Shopping and Amazon insights to identify gaps between organic rankings and Shopping visibility. Keyword gap analysis compares marketplace listing quality and availability data to guide content updates and product optimization.

DataForSEO API calls are optional for marketplace intelligence. The core product page analysis, on-page signal extraction, and Product schema validation function without it, though adding DataForSEO enables price, availability, and listing quality checks with built-in cost guardrails.

Optimizing category pages involves auditing on-page signals alongside marketplace data from Google Shopping and Amazon. The analysis coordinates page fetch and signal extraction to produce structured recommendations that align category content with shopping visibility requirements.

Yes, the workflow includes validation, guardrails, and cost considerations when executing DataForSEO API calls. Structured outputs and cost checks are provided during marketplace intelligence gathering to prevent unexpected API spending while retrieving Google Shopping and Amazon data.