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Understand how AEO complements SEO to improve ecommerce product visibility in AI-powered search.
Optimise product data, crawl access, structured data and product feeds to help AI systems interpret your catalogue.
Build trust through accurate product information, genuine customer reviews and credible external sources.
Explore how Salesforce Commerce Cloud, Shopify and SCAYLE retailers can prepare for AI-driven product discovery.
Follow a practical four-week plan to identify gaps, improve product discoverability and measure results.
Ask ChatGPT for “the best waterproof walking boots for wide feet under £150” and you may get a shortlist of products with explanations of why they fit the brief.
For ecommerce brands, the question is simple: can AI-powered search experiences find your products, understand their features and represent them accurately?
AI is becoming a more prominent part of the shopping journey. NielsenIQ and World Data Lab reported in August 2026 that 74% of shoppers use AI for product discovery. Adobe reported that AI-referred traffic to UK retail sites converted 20% better than non-AI-referred traffic in August 2026. During the 2025 holiday season, AI-driven traffic to UK retail sites also rose sharply 329% from the 2024 holidays, according to Adobe. These figures describe different periods and measures, but both point to a channel retailers should be learning to measure now.
Answer engine optimisation (AEO) in ecommerce is the practice of making product and brand information easier for AI-powered search experiences such as ChatGPT, Perplexity and Google AI Overviews to discover, understand and use in responses.
SEO helps search engines discover and rank pages. AEO builds on that foundation, focusing on how information may appear in AI-generated answers. Both rely on accessible websites, useful content and trustworthy information.
Think of an answer engine as a personal shopper with a clear brief. It needs accurate product facts, relevant attributes and information it can verify. Vague marketing claims are less useful than clear answers to real customer questions.
1. Check crawl access and rendering
Review robots.txt rules, indexability, canonical tags and internal links. Test whether important product information is accessible to relevant crawlers, particularly on JavaScript-heavy or headless storefronts.
Check each platform’s current crawler guidance. Google-Extended, for example, is not a switch for inclusion in Google Search or AI Overviews. No single crawler setting controls visibility across every AI platform.
2. Keep product information consistent
Align product names, brands, models, variants and availability across your website, feeds and relevant marketplaces. Use GTINs where applicable and keep internal SKUs distinct from universal product identifiers.
Inconsistent naming and missing attributes can make products harder to match and compare. Prioritise high-value products and establish a repeatable process for maintaining catalogue quality.
3. Answer shoppers’ questions clearly
Provide specific product details that help customers decide. Depending on your category, these might include fit, dimensions, materials, compatibility, ingredients, care instructions, delivery and returns.
Do not rely on images alone to communicate essential specifications. Make important information available as accessible text, using consistent attribute names and clear language.
4. Validate structured data and product feeds
Use relevant Product and Offer structured data, keeping it consistent with visible page content. Check product feeds for accurate prices, availability, identifiers and variants.
Structured data and feeds can help platforms interpret product information, but they do not guarantee inclusion in AI-generated answers. Accuracy matters more than adding markup that does not reflect the actual product.
5. Build trust beyond your website
Genuine customer reviews, relevant specialist publications and credible comparison sites can help shoppers assess your brand and products. Maintain consistent brand information and ensure claims can be substantiated.
There is no guaranteed number of reviews or mentions that will make an AI assistant recommend a product. Focus on building a credible reputation and providing a strong customer experience.
AEO is not limited to one ecommerce platform. Whether your store runs on Salesforce Commerce Cloud, Shopify, or SCAYLE, product discoverability depends on a combination of technical accessibility, catalogue quality and trustworthy information.
For Salesforce Commerce Cloud retailers, Salesforce’s acquisition of Cimulate in March 2026 signals its continued focus on AI-powered product discovery. However, on-site discovery and external AI visibility are related but distinct. Improving product discovery within your own storefront does not automatically make products more visible in external AI search experiences.
Across platforms, retailers should review their current capabilities, integrations and product-data processes rather than assume that a particular platform feature will solve every AEO challenge.
Fixing product data at catalogue scale is an operations problem. Correcting attributes across thousands of SKUs one Business Manager screen at a time takes months.
Our Salesforce B2C MCP server gives AI assistants governed, audited access to Business Manager through the Model Context Protocol. Merchandisers can ask an assistant to update attributes, content or promotions, and the change runs through set permissions rather than a developer ticket.
Begin with your top 50 revenue-generating products.
Establish a baseline: Test selected AI search experiences using relevant product and category queries.
Audit product data: Identify missing attributes, inconsistent identifiers and outdated availability or pricing.
Fix technical gaps: Review crawl access, rendering, structured data and missing product information.
Retest and prioritise: Compare results, measure progress and identify the next improvements.
Track organic search performance, measurable AI referral traffic and product-data quality. AI responses vary by platform, prompt and time, so treat visibility tests as directional evidence rather than a definitive ranking measure.
What is AEO for ecommerce?
AEO helps AI-powered search experiences discover, understand and accurately represent product and brand information. It complements SEO through accessible pages, useful product facts and consistent data.
Is AEO replacing SEO?
No. SEO remains an important foundation. AEO adds focus on how product information may be retrieved and used in AI-generated answers.
How can I improve product visibility in ChatGPT?
Check crawler access, make product facts accessible, maintain consistent identifiers and feeds, use appropriate structured data and build credibility through genuine reviews and relevant independent sources. None of these guarantees a recommendation.
Does AEO work across different ecommerce platforms?
The core principles apply across platforms, including Salesforce Commerce Cloud, Shopify and SCAYLE. Implementation will depend on each platform's architecture, integrations and data-management processes.