342 essays across SEO, GEO, growth, and AI marketing — written from the operator's seat. Page 1 of 29.
TL;DR I ran the same 50 head terms in ChatGPT search and Google (with AI Overviews) and tracked which sources each engine cited. Source overlap was about 40% — the rest of the time the two engines surfaced completely different sources. This post covers the methodology, the patterns in where they diverged, and what the…
TL;DR A TL;DR isn’t a summary of your post — it’s a direct answer to the head query, written in 2–4 sentences, structured so an AI engine can lift it verbatim into its answer. Open with the takeaway, follow with the why, end with the constraint or caveat. This post covers the exact template I…
TL;DR Perplexity cites 5–7 sources per answer, which means the competition for any given citation slot is narrower than the equivalent organic SERP. The structural moves that win Perplexity citations are well-defined: a clean TL;DR, a numbered step-by-step block, an FAQ with literal user-phrasing, and primary-source li
TL;DR Schema markup was a Google rich-result tiebreaker in 2024. In 2026 it’s a primary signal for AI engines (ChatGPT, Perplexity, Google AI Overviews, Claude) — they parse JSON-LD to extract clean, citable answers from pages. Four schema types do 90% of the work for GEO: Article, FAQPage, HowTo, and Speakable. This p
TL;DR Across 50 head terms in the SEO/marketing niche, I tracked Google AI Overview citation rates before and after applying a structural GEO scaffold (TL;DR, numbered step-by-step, FAQ section, primary-source citations) to my pillar posts. Citation frequency went from 4 of 50 to 19 of 50 over six weeks. Here’s the exa
TL;DR llms.txt is a plain-text file at your site root that tells LLM crawlers (ChatGPT, Perplexity, Claude, Gemini) what to find on your site and where to find it. It takes 20 minutes to write, requires no plugin, and meaningfully changes how generative engines discover and prioritize your pages. This is the full setup
Updated for AI Search (May 2026) TL;DR: Ahrefs is one of the two leading all-in-one SEO platforms (alongside SEMrush) and has added AI-search tracking features through 2025-2026. The review below covers the platform’s capabilities. This update adds an FAQ on Ahrefs in a 2026 GEO workflow, without modifying pricing, fea
Updated for AI Search (May 2026) TL;DR: Amazon SEO is still mostly about Amazon’s A10 algorithm — keywords in title/bullets/backend, conversion rate, reviews, sales velocity. What’s new in 2026 is that AI engines now route product-research queries (best/top/comparison searches) to a mix of Amazon listings and external
Updated for AI Search (May 2026) TL;DR: The classic SEO checklist below — title tag, meta description, H1, internal links, schema, image alt, page speed, mobile-friendly — is still 100% valid in 2026. What changes is the checklist now needs three additional items to cover AI-search visibility: a TL;DR block, an FAQ sec
Updated for AI Search (May 2026) TL;DR: Clearscope is a content-optimization tool that scores drafts against high-ranking pages for a target keyword and recommends terms to add. In 2026 it’s still useful for the classic on-page side, and emerging integration with AI-search citation patterns is starting to show up. The
This article talks about creating search engine friendly tags.
Updated for AI Search (May 2026) TL;DR: Enterprise SEO — managing SEO across thousands or millions of pages, often at organizations with complex stakeholder structures — is uniquely positioned for the AI-search era. Enterprises with strong domain authority get cited in AI engines disproportionately, and the structural