<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>GEOhandbook — The practical guide to Generative Engine Optimization.</title>
  <link href="https://geohandbook.io/feed.xml" rel="self"/>
  <link href="https://geohandbook.io/"/>
  <updated>2026-09-18T00:00:00Z</updated>
  <id>https://geohandbook.io/</id>
  <author>
    <name>GEOhandbook Editorial</name>
    <email>hello@geohandbook.io</email>
  </author>
  
  <entry>
    <title>Measuring GEO — the four metrics that replace rankings</title>
    <link href="https://geohandbook.io/articles/measuring-geo/"/>
    <updated>2026-08-20T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/measuring-geo/</id>
    <summary>Four practical metrics to measure Generative Engine Optimization — AI citation rate, share of voice, referral traffic from AI engines, and Bing/Google AI performance reports.</summary>
  </entry>
  
  <entry>
    <title>The 89% rule — why earned media matters more than your website for GEO</title>
    <link href="https://geohandbook.io/articles/earned-media-89-percent/"/>
    <updated>2026-08-28T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/earned-media-89-percent/</id>
    <summary>89% of LLM citations come from earned sources, not owned websites. Here&#39;s what that means for how marketers and webmasters should allocate GEO effort.</summary>
  </entry>
  
  <entry>
    <title>Is llms.txt worth the effort in 2026?</title>
    <link href="https://geohandbook.io/articles/llms-txt-worth-it/"/>
    <updated>2026-09-05T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/llms-txt-worth-it/</id>
    <summary>A pragmatic 2026 take on llms.txt — what it is, what the evidence says, and why the file is still worth shipping even after Google&#39;s dismissal.</summary>
  </entry>
  
  <entry>
    <title>Measuring GEO in 2026: what actually matters when 67% of AI-driven traffic is untracked</title>
    <link href="https://geohandbook.io/articles/measuring-what-matters/"/>
    <updated>2026-09-07T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/measuring-what-matters/</id>
    <summary>AI bots are 51%+ of global internet traffic. Two-thirds of AI-driven sessions never reach Google Analytics. Here&#39;s a measurement framework that survives those blind spots.</summary>
  </entry>
  
  <entry>
    <title>Entity-first SEO: how to make your brand exist in machine memory</title>
    <link href="https://geohandbook.io/articles/entity-first-seo/"/>
    <updated>2026-09-09T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/entity-first-seo/</id>
    <summary>LLMs organize knowledge as graphs of entities. If your brand isn&#39;t a clean node in that graph, you compete with better-defined sources like Wikipedia and Wikidata — and lose.</summary>
  </entry>
  
  <entry>
    <title>Schema for AI search — what still matters after Google&#39;s 2026 guidance</title>
    <link href="https://geohandbook.io/articles/schema-for-ai-search/"/>
    <updated>2026-09-10T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/schema-for-ai-search/</id>
    <summary>A pragmatic take on structured data for GEO in 2026 — which schema types actually move citation rates, and how to validate them in CI.</summary>
  </entry>
  
  <entry>
    <title>Getting your brand into LLM training data — the hard truth, and what to do while you wait</title>
    <link href="https://geohandbook.io/articles/brand-in-training-data/"/>
    <updated>2026-09-11T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/brand-in-training-data/</id>
    <summary>40% of ChatGPT answers use live retrieval. The other 60% come from training-data patterns you can&#39;t influence overnight. Here&#39;s the realistic playbook.</summary>
  </entry>
  
  <entry>
    <title>Google&#39;s May 2026 AI Overviews update: five structural changes and what they mean for GEO</title>
    <link href="https://geohandbook.io/articles/google-may-2026-ai-update/"/>
    <updated>2026-09-13T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/google-may-2026-ai-update/</id>
    <summary>The biggest update since AI Overviews launched. Inline citations, expanded coverage, deeper reasoning — and a shift from rank to citation-worthiness that finally makes GEO measurable.</summary>
  </entry>
  
  <entry>
    <title>Answer-first writing — the single highest-leverage GEO change</title>
    <link href="https://geohandbook.io/articles/answer-first-writing/"/>
    <updated>2026-09-15T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/answer-first-writing/</id>
    <summary>Why &quot;answer-first&quot; paragraph structure is the highest-leverage change you can make for GEO — and how to rewrite an existing page in ten minutes.</summary>
  </entry>
  
  <entry>
    <title>Reddit is 27% of ChatGPT&#39;s hidden retrieval and 46.7% of Perplexity&#39;s citations — what marketers should actually do</title>
    <link href="https://geohandbook.io/articles/reddit-hidden-influence/"/>
    <updated>2026-09-16T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/reddit-hidden-influence/</id>
    <summary>Two 2026 studies quantify Reddit&#39;s outsized role in AI answers. The visible-citation number is the smallest number that matters.</summary>
  </entry>
  
  <entry>
    <title>How Perplexity actually chooses its sources — and why your rank-12 page can still get cited</title>
    <link href="https://geohandbook.io/articles/perplexity-source-selection/"/>
    <updated>2026-09-17T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/perplexity-source-selection/</id>
    <summary>Perplexity visits ~10 pages per query, reads them in full via a URL-fetcher, and applies a three-layer reranker. Here&#39;s what actually gets a page cited.</summary>
  </entry>
  
  <entry>
    <title>Verifying your domain in Bing Webmaster Tools and Google Search Console — the 15-minute setup</title>
    <link href="https://geohandbook.io/articles/search-console-verification/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/search-console-verification/</id>
    <summary>Two verifications drive the entire AI search visibility loop: Bing for ChatGPT Search, Google for AI Overviews and AI Mode. Both take one DNS TXT record and 15 minutes. Here&#39;s the exact playbook.</summary>
  </entry>
  
  <entry>
    <title>The Perplexity-specific Reddit playbook: how to actually earn 46.7% citation-rate presence</title>
    <link href="https://geohandbook.io/articles/perplexity-reddit-playbook/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/perplexity-reddit-playbook/</id>
    <summary>Perplexity cites Reddit in 46.7% of B2B SaaS responses — but the mechanics of getting cited by Perplexity from Reddit differ meaningfully from getting cited by ChatGPT. Here is the engine-specific playbook.</summary>
  </entry>
  
  <entry>
    <title>Which Perplexity model your prompt is running on — and why it changes your citation odds</title>
    <link href="https://geohandbook.io/articles/perplexity-model-tiers-and-modes/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/perplexity-model-tiers-and-modes/</id>
    <summary>Sonar, Sonar Pro, Sonar Reasoning Pro, and Sonar Deep Research each pull sources differently. The 2-3x citation-density gap between tiers changes what pages get cited — and how you should test.</summary>
  </entry>
  
  <entry>
    <title>Structured data that actually moves Google AI Overviews citations</title>
    <link href="https://geohandbook.io/articles/google-ai-structured-data/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/google-ai-structured-data/</id>
    <summary>Not all schema is equal for AI Overviews. Product+Offer+AggregateRating dominates commercial queries; FAQPage and Article schema dominate informational. Here&#39;s the JSON-LD that moves citation share, with real markup.</summary>
  </entry>
  
  <entry>
    <title>Optimizing for Google AI Mode: what a billion monthly users actually means for content strategy</title>
    <link href="https://geohandbook.io/articles/google-ai-mode-optimization/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/google-ai-mode-optimization/</id>
    <summary>AI Mode passed one billion monthly users a year after debut, with queries doubling every quarter. It&#39;s a different surface from AI Overviews — and it rewards different content.</summary>
  </entry>
  
  <entry>
    <title>Digital PR for GEO — the 25% earned-media citation surface most brands ignore</title>
    <link href="https://geohandbook.io/articles/digital-pr-for-geo/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/digital-pr-for-geo/</id>
    <summary>Earned media drives 25% of all LLM citations across ChatGPT, Claude, Gemini, and Perplexity. Only 6% of GEO practitioners use it as a primary tactic. Here&#39;s the widest arbitrage opportunity in AI search.</summary>
  </entry>
  
  <entry>
    <title>Content freshness for AI search — the 13-week rule and the 67% freshness lift</title>
    <link href="https://geohandbook.io/articles/content-freshness-ai-search/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/content-freshness-ai-search/</id>
    <summary>About half of Perplexity&#39;s citations resolve to content under 13 weeks old. Recently updated pages average 6 AI citations vs 3.6 for stale ones. Here&#39;s the refresh cadence that keeps you in the citation pool.</summary>
  </entry>
  
  <entry>
    <title>Reverse engineering competitor AI citations — the manual audit method</title>
    <link href="https://geohandbook.io/articles/competitor-citation-audit/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/competitor-citation-audit/</id>
    <summary>Before you buy a $499/month citation tracker, do the manual audit yourself. Here&#39;s the exact eight-step process, the eight gap types, and when the paid tools actually earn their keep.</summary>
  </entry>
  
  <entry>
    <title>What actually gets ChatGPT to cite you — the three-stage pipeline nobody talks about</title>
    <link href="https://geohandbook.io/articles/chatgpt-citation-signals/"/>
    <updated>2026-09-18T00:00:00Z</updated>
    <id>https://geohandbook.io/articles/chatgpt-citation-signals/</id>
    <summary>Bing indexation is table stakes, not the finish line. ChatGPT decides citations across three separate stages, and each one filters out most candidate pages.</summary>
  </entry>
  
</feed>
