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 · Learn which controllable factors support AI search visibility
AI search ranking factors: what you can control and what you cannot.
Read the guide →Guide · Improve eligibility for Google AI Overviews and AI Mode
How to optimize for Google AI Overviews without chasing tricks.
Read the guide →Guide · Plan content for AI search and commercial SEO
AI search content strategy: publish the page the buying decision needs.
Read the guide →Guide · Choose accurate schema markup for an AI-search website
Schema markup for AI search: clarify entities without inventing facts.
Read the guide →Every guide in this collection
Guide · Understand and evaluate AI visibility tracking
AI visibility tracking: what to measure before you trust the score.
Read the guide →Guide · Improve eligibility to be cited in Perplexity answers
How to get cited by Perplexity: make the useful source easy to retrieve.
Read the guide →Use case · Find why competitors are recommended in AI answers
AI search competitor analysis: find the evidence behind the recommendation.
Read the guide →Use case · Evaluate AI SEO software for a SaaS company
AI SEO software for SaaS teams that need the work completed.
Read the guide →Guide · Use Reddit responsibly as an AI search citation and customer-research channel
Reddit and AI search citations: find the discussions that already matter.
Read the guide →Guide · Understand query fan-out and plan topic coverage
Query fan-out in AI search: cover the decision, not every wording.
Read the guide →Guide · Create a useful product comparison page for AI search
Comparison pages for AI search: help buyers choose with checkable facts.
Read the guide →Guide · Make a B2B product page understandable to search and AI systems
Product pages for AI search: state the product, fit and proof clearly.
Read the guide →Guide · Make a software pricing page understandable to AI agents and buyers
Pricing pages for AI agents: make every plan and limit explicit.
Read the guide →Guide · Decide whether a B2B SaaS website needs an llms.txt file
llms.txt for B2B SaaS: useful index, not a ranking switch.
Read the guide →Guide · Measure whether AI-search visitors become leads and customers
AI search conversion tracking: measure the path after the click.
Read the guide →Use case · Publish and verify AI-search content safely in WordPress
WordPress AI SEO automation: preview, publish and verify every change.
Read the guide →Guide · Compare AI search visibility across countries and languages
How should a company compare AI search visibility across countries and languages?
Read the guide →Buyer guide · Run a comparable procurement process for AI-search software
AI-search vendor RFP template for B2B teams.
Read the guide →Buyer guide · Build a balanced set of commercial questions for recurring AI monitoring
Non-brand buyer-question portfolio template.
Read the guide →Buyer guide · Create balanced competitor pages with current source-backed facts
Comparison-page evidence worksheet.
Read the guide →Buyer guide · Report progress, uncertainty and commercial evidence without vanity metrics
Board-level AI-search reporting template.
Read the guide →Buyer guide · Document public crawler eligibility across robots, WAF and rendered content
AI-crawler access test template.
Read the guide →Buyer guide · Turn one measured buyer question into a source-backed editorial brief
Evidence-led AI-search content brief template.
Read the guide →Buyer guide · Audit the discovery and eligibility layer before producing more content
Technical SEO and AEO audit template.
Read the guide →Buyer guide · Model a commercial scenario while separating assumptions from observed outcomes