Why This Matters for E-commerce
For e-commerce companies, how to check if ai knows your brand is crucial because online commerce is one of the most searched categories in AI assistants. Merchants, brand owners, and digital retailers regularly ask AI for platform comparisons, plugin recommendations, and optimization strategies. With millions of product pages and commerce tools competing for attention, AI visibility determines which platforms get recommended. E-commerce businesses that structure their product catalogs, feature documentation, and comparison content for AI systems capture high-intent traffic from buyers ready to invest in commerce technology.
Implementation Steps
Test brand awareness queries
Ask each major AI assistant 'What is [Your Company Name]?' and evaluate the response. Does it know you exist? Is the information accurate and current?
Test category queries
Ask 'What are the best [your category] tools/companies?' and see if you're mentioned. This reveals your competitive positioning in AI recommendations.
Test product/service queries
Ask specific questions about your products or services: 'What does [Product] do?' and 'What are the features of [Product]?'
Test Perplexity citations
Search for your topic on Perplexity and check if your site appears in citations. Perplexity provides visible source attribution.
Document and compare
Create a scorecard comparing your AI visibility across platforms and versus competitors. Track this monthly to measure improvement.
E-commerce Tips
Optimize product catalogs and feature comparisons with structured data so AI can accurately recommend your platform.
Create comprehensive guides on commerce workflows, payment processing, and fulfillment that AI can cite for merchant queries.
Test on ChatGPT, Claude, Perplexity, and Gemini
Document responses for comparison
Common Mistakes to Avoid
Testing only once and not tracking over time
Only testing on one AI platform
Not comparing against competitors
Ignoring Perplexity citation visibility
Not documenting baseline before optimization
Expected Results
Clear understanding of current AI visibility
Identification of specific gaps to address
Competitive intelligence on AI positioning
Baseline metrics to track improvement