Magic TeamsAEO & AI Search
Practical answer-engine and AI-search guidance: clear entities, useful evidence, crawlable pages, and Cloudflare controls that keep access deliberate.
- How to Structure a Page So AI Search Can Cite ItPut the answer in crawlable HTML near the top, use clear headings, cite your sources, show the author, and keep paragraphs short. Structure helps comprehension, not citations.Oct 2, 2026
- How to Write Useful Comparison Pages for AI SearchState the decision, name your criteria, compare real alternatives on the same dimensions with evidence, and say who each option fits. A worked example included.Oct 2, 2026
- How to Map Buyer Questions to ContentMine sales conversations, group questions by intent, and choose the smallest useful page set. Here's the decision framework and a worked example from Magic Teams.Sep 16, 2026
- How to Avoid AI Search Content CannibalizationConsolidate overlapping questions, give each page a distinct job and audience, and use a three-question filter to decide which pages to merge, refresh, or keep.Sep 6, 2026
- How to Build an AEO Content BriefDefine one query, one audience, a direct answer, evidence requirements, and internal links. The finished brief shows boundaries, decision gates, and a worked example.Sep 4, 2026
- How to Measure AI Search ReferralsCombine analytics annotations, referral data, lead questions, and assisted-conversion notes to measure AI search referrals across ChatGPT, Perplexity, and Google AI Overviews.Sep 4, 2026
- How to Audit AI Search Brand MentionsBuild a prompt set, record AI answers verbatim, verify entity accuracy, trace every citation source, and log errors to fix. Here's the complete audit framework.Sep 3, 2026
- How to Build an AI Search Content System for Your BusinessBuild a repeatable system around customer questions, one authoritative page per problem, evidence collection, internal links, and regular measurement. Here's the exact loop we run.Sep 2, 2026
- How to Use llms.txt Without OverpromisingTreat llms.txt as a discovery artifact for developer products while keeping HTML, links, and robots policy primary. A practical framework with boundaries.Sep 2, 2026
- How to Refresh Content for AI Search Without Faking FreshnessRefresh content for AI search by updating evidence, examples, and internal links only when substance changed. Here's the decision framework and worked example.Aug 29, 2026
- How to Write Answer-First B2B ContentPut the direct answer in the first paragraph, then explain why, how, and what's next. Here's how to structure content that serves both readers and AI.Aug 29, 2026
- How to Measure AI Search Visibility Without Buying an Expensive ToolMeasure AI search visibility free with a frozen prompt set, green/amber/red scoring, Search Console, GA4 annotations and a self-reported source field.Aug 24, 2026
- What Makes a B2B Page Citation-Worthy?A B2B page gets cited at the passage level. Here's the four-check Lift Test we run on every claim, plus the evidence on what separates quoted from absorbed.Aug 23, 2026
- How to Track AI Search Citations Alongside Search ConsoleSearch Console reports AI impressions but no clicks or queries. Here is the two-lane board: a platform lane you pull monthly and a citation log you keep by hand.Aug 17, 2026
- How to Build an AI Search Prompt Set (The Prompt Ledger)Build 20 to 40 prompts from real buyer language across four intent stages, freeze the list for a quarter, run each one weekly, and score presence rate instead of rank.Aug 15, 2026
- How to Run an AEO Content Audit (Five-Column Scoring Sheet)Score every page 0 to 2 on Answer, Evidence, Entity, Links and Access, then leave, fix, or merge it. Includes the rubric and a real audit of this blog.Aug 14, 2026
- What Is Answer Engine Optimization for B2B? A Practical 2026 GuideAnswer engine optimization is the practice of making B2B content clear, crawlable, evidence-backed, and easy for search systems to cite. Here is the practical framework.Aug 10, 2026