Decision principle
PRACTICAL GUIDES
Build the technical, editorial and measurement foundations for AI search.
Strong AI-search work still depends on accessible pages, clear answers, original information, accurate entities, useful internal links and honest measurement. Use this collection when the question does not fit a commercial platform, acquisition, authority or conversion hub.
How to use this collection
Decision principle
Add information gain
Use first-hand examples, primary sources, explicit limitations and practical artifacts instead of summarizing the same public advice.Decision principle
Measure without promising
Track indexation, queries, citations, visits and business actions separately. External systems decide rankings and recommendations.Start with these guides
Guide
AI search ranking factors: what you can control and what you cannot.
Learn which controllable factors support AI search visibility
GuideHow to optimize for Google AI Overviews without chasing tricks.
Improve eligibility for Google AI Overviews and AI Mode
GuideAI search content strategy: publish the page the buying decision needs.
Plan content for AI search and commercial SEO
GuideSchema markup for AI search: clarify entities without inventing facts.
Choose accurate schema markup for an AI-search website
Every guide in this collection
Guide
AI visibility tracking: what to measure before you trust the score.
Understand and evaluate AI visibility tracking
GuideHow to get cited by Perplexity: make the useful source easy to retrieve.
Improve eligibility to be cited in Perplexity answers
Use caseAI search competitor analysis: find the evidence behind the recommendation.
Find why competitors are recommended in AI answers
Use caseAI SEO software for SaaS teams that need the work completed.
Evaluate AI SEO software for a SaaS company
GuideReddit and AI search citations: find the discussions that already matter.
Use Reddit responsibly as an AI search citation and customer-research channel
GuideQuery fan-out in AI search: cover the decision, not every wording.
Understand query fan-out and plan topic coverage
GuideComparison pages for AI search: help buyers choose with checkable facts.
Create a useful product comparison page for AI search
GuideProduct pages for AI search: state the product, fit and proof clearly.
Make a B2B product page understandable to search and AI systems
GuidePricing pages for AI agents: make every plan and limit explicit.
Make a software pricing page understandable to AI agents and buyers
Guidellms.txt for B2B SaaS: useful index, not a ranking switch.
Decide whether a B2B SaaS website needs an llms.txt file
GuideAI search conversion tracking: measure the path after the click.
Measure whether AI-search visitors become leads and customers
Use caseWordPress AI SEO automation: preview, publish and verify every change.
Publish and verify AI-search content safely in WordPress
GuideHow should a company compare AI search visibility across countries and languages?
Compare AI search visibility across countries and languages
Buyer guideAI-search vendor RFP template for B2B teams.
Run a comparable procurement process for AI-search software
Buyer guideNon-brand buyer-question portfolio template.
Build a balanced set of commercial questions for recurring AI monitoring
Buyer guideComparison-page evidence worksheet.
Create balanced competitor pages with current source-backed facts
Buyer guideBoard-level AI-search reporting template.
Report progress, uncertainty and commercial evidence without vanity metrics
Buyer guideAI-crawler access test template.
Document public crawler eligibility across robots, WAF and rendered content
Buyer guideEvidence-led AI-search content brief template.
Turn one measured buyer question into a source-backed editorial brief
Buyer guideTechnical SEO and AEO audit template.
Audit the discovery and eligibility layer before producing more content
Buyer guideAI-search ROI scenario template without fake forecasts.
Model a commercial scenario while separating assumptions from observed outcomes
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