{ "site": "https://jsonburns.com", "license": "https://jsonburns.com/license", "publisher": "Adolicious LLC", "author": "Jason Burns", "count": 9, "questions": [ { "slug": "google-ai-overviews", "url": "https://jsonburns.com/answers/google-ai-overviews", "markdown_url": "https://jsonburns.com/answers/google-ai-overviews.md", "question": "How do I appear in Google AI Overviews?", "direct_answer": "To appear in Google AI Overviews, give Gemini clean, citable material: a direct 40–60 word answer after each question-style heading, structured formatting, schema markup, and genuine expertise signals. The single fastest path is your existing Featured Snippets — pages Google already trusts as the best concise answer are the most likely to be cited in an AI Overview.", "cluster": "B", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "how-to-get-cited-by-chatgpt", "url": "https://jsonburns.com/answers/how-to-get-cited-by-chatgpt", "markdown_url": "https://jsonburns.com/answers/how-to-get-cited-by-chatgpt.md", "question": "How do I get my business cited by ChatGPT?", "direct_answer": "To get cited by ChatGPT, your page must be indexed in Bing (ChatGPT Search retrieves from Bing's index), readable as server-rendered HTML, and structured so the answer is easy to extract. Then ChatGPT selects citations by relevance, authority, freshness, and clean formatting — naming three to six sources per answer. Indexing is the gate; extractability and trust decide selection.", "cluster": "B", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "perplexity-source-selection", "url": "https://jsonburns.com/answers/perplexity-source-selection", "markdown_url": "https://jsonburns.com/answers/perplexity-source-selection.md", "question": "How does Perplexity choose its sources?", "direct_answer": "Perplexity runs live web retrieval for nearly every query, ranks the results for relevance, authority, and freshness, then writes an answer with numbered citations to the handful of sources it used. To become one, be retrievable (server-rendered, crawlable, allow PerplexityBot), answer the specific question cleanly near the top, and carry real authority signals — Perplexity cites sources, so being citable is the entire game.", "cluster": "B", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "is-seo-dead-2026", "url": "https://jsonburns.com/answers/is-seo-dead-2026", "markdown_url": "https://jsonburns.com/answers/is-seo-dead-2026.md", "question": "Is SEO dead in 2026?", "direct_answer": "SEO as you knew it — keywords, backlinks, page-one rank chasing clicks — is being deprecated, not the broader practice of being found. Organic click-through on AI-Overview queries fell about 61% before partially recovering, and AI Overviews now cover roughly 48% of Google searches. The work that replaces it is AEO, GEO, and WebMCP: optimizing to be the cited source, not the ranked link.", "cluster": "C", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "llms-txt-and-schema", "url": "https://jsonburns.com/answers/llms-txt-and-schema", "markdown_url": "https://jsonburns.com/answers/llms-txt-and-schema.md", "question": "What are llms.txt and schema, and do they help with AI citations?", "direct_answer": "Schema.org structured data and server-side rendering genuinely help AI engines understand and cite you; FAQPage and Organization schema are especially useful. llms.txt is a newer, low-cost standard worth publishing but, as of 2026, not yet proven to move citations on its own. The things that reliably help are server-rendered HTML, extractable answers, accurate schema, and a consistent entity identity.", "cluster": "E", "variants": [], "published_at": "2026-06-23T02:40:35.299+00:00", "updated_at": "2026-06-23T03:12:40.986652+00:00" }, { "slug": "what-is-aeo", "url": "https://jsonburns.com/answers/what-is-aeo", "markdown_url": "https://jsonburns.com/answers/what-is-aeo.md", "question": "What is AEO (Answer Engine Optimization)?", "direct_answer": "Answer Engine Optimization (AEO) is the practice of structuring your website, content, and entity footprint so that AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude — cite you as the source when they generate a response. Unlike SEO, which competes for a ranked list of links, AEO competes to be the single named source inside one generated answer.", "cluster": "A", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "what-is-webmcp", "url": "https://jsonburns.com/answers/what-is-webmcp", "markdown_url": "https://jsonburns.com/answers/what-is-webmcp.md", "question": "What is WebMCP?", "direct_answer": "WebMCP applies the Model Context Protocol to the web: it exposes structured endpoints on your site that AI agents can call directly to get clean, structured answers, instead of scraping rendered HTML. It's the difference between being readable by an AI and being directly callable by one — the foundation for the agent-driven web, where assistants act on your site rather than just cite it.", "cluster": "D", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "seo-vs-aeo", "url": "https://jsonburns.com/answers/seo-vs-aeo", "markdown_url": "https://jsonburns.com/answers/seo-vs-aeo.md", "question": "What's the difference between SEO, AEO, GEO, and WebMCP?", "direct_answer": "SEO optimizes for a ranked position in a list of links. AEO optimizes to be the cited source inside a live AI answer. GEO optimizes the upstream training and retrieval corpora the models learn from. WebMCP exposes your site so AI agents can query it directly. They share fundamentals but target different mechanisms — and unlike rankings, AI citations tend to compound for first movers.", "cluster": "D", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" }, { "slug": "one-per-market", "url": "https://jsonburns.com/answers/one-per-market", "markdown_url": "https://jsonburns.com/answers/one-per-market.md", "question": "Why do you only work with one client per vertical, per market?", "direct_answer": "Because AI answer engines name only a small set of sources for any given question, we take one client per vertical, per market. Engineering two competitors to win the same single answer would mean working against ourselves and diluting both. One client per market lets us focus entirely on making you the cited source — and it means the first mover in your market locks in a compounding advantage.", "cluster": "F", "variants": [], "published_at": "2026-07-23T23:39:39.844051+00:00", "updated_at": "2026-07-23T23:39:39.844051+00:00" } ] }