Practical AEO guides, case studies, and updates on AI answer engines.
How to find the orphan pages on a WordPress or WooCommerce site and link them automatically, on words already in your text: a site link plan with rules (at most 3 new links per page, no duplicates), one-click undo, and an AI sentence you approve when no page has the words.
What llms.txt is: a Markdown file at your site's root that gives language models a curated map of your key pages. The format with an annotated example, llms-full.txt, how it differs from robots.txt and sitemap.xml, and who actually reads it.
What ChatGPT, Perplexity, Gemini and Google AI read on a Wix store before they name it in an answer, and six steps to give it to them from inside the Wix dashboard with the CiteProof app. Shown on a real Wix Stores site with its first audit: cited on 9 of 50 questions, amazon.com cited instead on 18. The limits of Wix are stated.
Which AI bots to allow on a WordPress or WooCommerce store and which to block: the bots that bring citations (OAI-SearchBot, ChatGPT-User, PerplexityBot, Claude-SearchBot, Claude-User, Googlebot, Bingbot) versus the training-only bots (GPTBot, ClaudeBot, Google-Extended, CCBot), the robots.txt rules, the verified visit log, and what llms.txt is actually for.
What ChatGPT, Perplexity and Google AI actually read on a Shopify store before they name it in an answer, and the six steps to give it to them: measure your customers' questions, one identity on the home page, product pages with complete data, a buying guide on every collection, policies written from facts, then measure again.
What ChatGPT, Perplexity and Google AI actually read on a WooCommerce store before they name it in an answer, and the eight steps to give it to them with the CiteProof plugin: connect the store, measure your customers' questions, one identity from the fact sheet, let the right AI bots in, product pages with complete data, a buying guide on every category, policies written from facts, internal links, then measure again.
A real AI visibility check on a video production company in Troy, Michigan, October 2026: on which of 49 customer questions ChatGPT, Perplexity, Gemini, Claude and Google AI cite the site, who they cite instead (mostly directories), whether the AI bots actually read it, the audit score per engine, and what to fix first. No before/after is claimed: this is the baseline.
AI referral traffic conversion rate, verified: a 78-site median vs organic, single-site studies, where the premium fails, and how to track it in GA4.
Reddit AI citations in 2026, verified: the share engine by engine, the swings since 2025, the engines that barely cite it, and a 6-move B2B playbook.
Shopify ChatGPT integration: what it means for your store. How Agentic Storefronts puts your products in ChatGPT, where checkout happens, and what to fix.
AI search optimization for ecommerce: what ChatGPT, Perplexity and Google AI read on a product page, and what to fix so they cite your products.
SEO case study: how a women's pelvic-health ecommerce brand took six product-adjacent queries to #1 on Google in a YMYL category. Method, data and results.
Case study: how a boutique Italian luxury tour operator got cited by ChatGPT, Gemini and Claude: six AI-sourced leads, over $209,000 in declared budgets.
What is AEO (answer engine optimization)? How it differs from GEO and SEO, why it matters, and how to measure whether ChatGPT and Google AI cite you.