Websites now have a dual purpose. A significant portion of your content must be created specifically for AI agents—niche, granular, and structured for LLM consumption to improve AEO. The human-facing part must then evolve to offer deeper, more interactive experiences, as visitors will arrive with their basic research already completed by AI.

For AI to efficiently parse and trust your website's content, you must use technical schema. This backend code labels key information like "last updated" dates, FAQs, and reviews, allowing AI to quickly understand and validate your content's credibility.

In an era dominated by AI chatbots, a website's relevance increases. These AI systems don't create information; they crawl the web to find it. Your site serves as the foundational data source, making a well-structured, up-to-date digital presence critical for discoverability and accurate representation by AI.

When you create product bundles, you often create new SKUs that lack reviews. To avoid diluted social proof, ensure your e-commerce platform shares and displays reviews across both the individual products and any bundles they are part of, presenting a stronger, unified review count on all related pages.

While traditional search engines primarily weighted review ratings and volume, AI reads the actual text of reviews, both positive and negative. It uses this qualitative data to build a comprehensive "reputation graph" of your brand before making a recommendation.

AI engines use Retrieval Augmented Generation (RAG), not simple keyword indexing. To be cited, your website must provide structured data (like schema.org) for machines to consume, shifting the focus from content creation to data provision.

For years, businesses have focused on protecting their sites from malicious bots. This same architecture now blocks beneficial AI agents acting on behalf of consumers. Companies must rethink their technical infrastructure to differentiate and welcome these new 'good bots' for agentic commerce.

Even if you have a negative perception of platforms like Yelp, their importance has increased because AI tools are actively pulling review data from them. Neglecting these sites means missing an opportunity to influence AI-driven search results and brand perception.

When responding to Google reviews, go beyond a simple 'thank you.' Incorporate substantive details about the project, services, or products used. This feeds valuable, keyword-rich content directly to Google and its AI, demonstrating authority and improving visibility for relevant searches.