Discover practical insights on AI SEO, AI Search, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), Technical SEO, content strategy, and search marketing. Plain Intelligence publishes research-driven guides, tutorials, industry updates, and actionable frameworks to help marketers, SEO professionals, founders, and businesses improve visibility across Google Search, ChatGPT, Gemini, Perplexity, Bing Copilot, and emerging AI search platforms.
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Every guide, checklist, and case study — newest first, 10 per page.
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How to Run an AI Citation Study
A step-by-step method for running an AI citation study in 2026 — how to design queries, collect citation data across AI platforms, analyze patterns, and draw defensible conclusions.
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AI Search vs. Traditional SEO: How to Compare Them Fairly
A rigorous method for comparing AI search and traditional SEO fairly — avoiding false dichotomies, controlling for confounders, and drawing conclusions the evidence actually supports.
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Designing a GEO Experiment
How to design a rigorous GEO experiment in 2026 — forming a hypothesis, controlling variables, measuring AI citation changes, and drawing valid conclusions about generative engine optimization.
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Designing a Core Web Vitals Experiment
How to design a Core Web Vitals experiment in 2026 — isolating performance changes, measuring ranking and conversion effects, and separating real impact from confounders.
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How to Run a Schema Markup Case Study
How to run a schema markup case study in 2026 — testing structured data impact on rich results, click-through, and AI citations while isolating the effect from other changes.
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Designing an Internal Linking Experiment
How to design an internal linking experiment in 2026 — isolating link changes, choosing test and control pages, measuring ranking effects, and drawing valid conclusions about internal links.
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How to Run an AI Search Visibility Case Study
A method for running an honest AI search visibility case study — establishing a baseline, making documented changes, measuring results, and reporting findings without overclaiming.
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How to Analyze a Google Core Update
How to analyze a Google core update in 2026 — separating real impact from noise, diagnosing what changed, and responding with evidence instead of panic-driven guesswork.
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Future Search Predictions
Grounded future search predictions for 2026 and beyond — the shifts most likely to reshape discovery, which are hype, and how to prepare for AI answers, agents, and multimodal search.
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Search Experience Optimization
A 2026 guide to search experience optimization — why the whole search journey matters more than rankings, and how to optimize for engagement, satisfaction, and outcomes across every surface.
What each pillar covers
- AI SEO — how AI search engines and assistants rank, cite, and surface content, from ChatGPT search to Google AI Mode, plus AI search analytics.
- GEO / AEO — Generative Engine Optimization and Answer Engine Optimization: entity SEO, retrieval optimization, and earning AI citations.
- SEO Fundamentals — keyword research, on-page SEO, internal linking, Core Web Vitals, schema markup, and topical authority.
- Technical SEO — crawlability, indexing, robots.txt, XML sitemaps, structured data, site architecture, and migrations.
- Content Strategy — content clusters, editorial calendars, evergreen content, AI content creation, and measuring content ROI.
- Future of Search — voice, visual, and multimodal search, AI agents, personalization, and zero-click search trends.
- Research & Data — original SEO experiments, AI citation studies, core update analyses, and repeatable case-study methods.
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