SEO / GSC diagnostics

Start with executable technical diagnostics before growth advice

PteroAI's SEO module focuses on title, meta, canonical, robots, sitemap, hreflang, structured data, Web Vitals, and GSC page metrics.

Technical findings

Group page basics, crawl, index, internationalization, and schema issues by severity.

Analyze falling impressions, CTR changes, and page issues together.

Explain why a product page may be weak for search display or AI citation contexts.

Data sources

PteroAI explains which evidence supports each conclusion so operators know what can be acted on and what needs more review.

Review page visits, referrers, landing paths, and AI-related visit signals to understand how assets are being read.

Combine product performance, order movement, and customer data to see whether AI-search opportunities connect to commerce.

Reads clicks, impressions, CTR, and position to support page-level SEO diagnostics.

Trust notes

AI-search visibility has natural blind spots. PteroAI makes available data and evidence clear instead of presenting uncertain signals as certainty.

Reports show whether a finding uses orders, products, GSC, page diagnostics, or AI-answer samples.

Different platforms expose different data, so the interface shows which service capabilities are available for each site.

Findings are translated into page, product, FAQ, schema, content, or follow-up review tasks.

PteroAI does not guarantee SEO rankings, indexing, or AI citations.

FAQ

What does the technical SEO audit check?

It checks title, description, canonical, robots, sitemap, hreflang, structured data, page basics, and GSC metrics.

Does GEO optimization need structured data?

Structured data does not guarantee AI citations, but it makes product, organization, FAQ, and page information clearer.

Why connect SEO with order data?

SEO metrics show visibility and clicks. Order and product data show whether those changes matter commercially.