See AI recommendations and collection first
Recommendation exposure, asset collection, intent signals, referrers, and bot evidence stay separate instead of becoming one vague number.
GEO optimization
Separate AI recommendation exposure, asset collection, and intent signals
Ecommerce teams do not buy raw logs. They need to know whether AI recommends their products, which crawlers collect their content assets, and which pages are becoming AI-search intent signals.
- AI recommendation exposure
- AI asset collection
- AI intent radar
- Product-page opportunities
AI recommendation exposure
Monitor whether ChatGPT, Perplexity, Gemini, and other surfaces mention your brand, products, or URLs.
AI asset collection
Identify crawler collection across product pages, collections, reviews, and content assets.
AI intent radar
Spot product and category pages that suddenly become hot in AI-driven fetches.
Trust notes
Every recommendation explains evidence, fit, and next steps
AI-search visibility has natural blind spots. PteroAI makes available data and evidence clear instead of presenting uncertain signals as certainty.
Clear evidence
Reports show whether a finding uses orders, products, GSC, page diagnostics, or AI-answer samples.
Transparent fit
Different platforms expose different data, so the interface shows which service capabilities are available for each site.
Action first
Findings are translated into page, product, FAQ, schema, content, or follow-up review tasks.
Beta service focus
Start with an AI Search Compass merchants actually want to read
PteroAI first serves ecommerce teams with real products, orders, and content assets, turning AI visibility, product opportunities, search performance, and next actions into a useful report.
WooCommerce deep analysis
Connect product pages, order outcomes, search performance, and AI visibility so teams can decide which pages deserve priority.
Shopify operating analysis
Start with products, orders, customers, search performance, and AI-source signals to validate growth opportunities.
Design-partner proof
Selected merchants get a first AI Search Compass report, site diagnostics, and review recommendations.
Data sources
Store data, search data, and AI visibility in one context
PteroAI explains which evidence supports each conclusion so operators know what can be acted on and what needs more review.
Visits and sources
Review page visits, referrers, landing paths, and AI-related visit signals to understand how assets are being read.
Products, orders, and customers
Combine product performance, order movement, and customer data to see whether AI-search opportunities connect to commerce.
Google GSC
Reads clicks, impressions, CTR, and position to support page-level SEO diagnostics.
PteroAI does not guarantee SEO rankings, indexing, or AI citations.
FAQ
Common questions
How is GEO different from traditional SEO?
SEO focuses on search result pages. GEO focuses on AI answers, product recommendations, content citations, and AI-driven visit signals. PteroAI analyzes those signals alongside commerce and GSC data.
Can PteroAI guarantee AI recommendations?
No. PteroAI provides monitoring, evidence, and optimization recommendations so your pages are easier for AI systems and shoppers to understand, but it does not promise citations or recommendations.
Why separate exposure, collection, and AI referrals?
They describe different stages: whether AI mentions you, whether crawlers collect your assets, and whether users arrive from AI products.