The evidence-led SEO publishing guide
A complete operating guide for defining the reader job, classifying claims, collecting evidence, adding information gain, reviewing skeptically, publishing, and maintaining the page.
From this desk
Start with the most useful page
The featured page offers a strong introduction. The remaining cards help readers move through this editorial section without turning the archive into a service menu.
Start with the editorial guide
Choose the desk that matches your question
Use the subject desks for focused browsing, or continue to the complete chronological archive below.
SEO
Crawling, content, and measurement
Reporting and practical analysis for technical, on-page, content, and publishing decisions.
AEO & AI Search
Answers, citations, and visibility
Platform changes, retrieval behavior, source attribution, and measurement without unsupported promises.
Research
Tests, methods, and evidence
Original protocols, observations, evidence reviews, and the limits on what each result establishes.
Workflows
APIs, automation, and verification
Implementation stories with reproducible inputs, failure states, evidence, and stopping conditions.
Complete archive
Every story, newest first
Open a story for its complete evidence, examples, limitations, author information, and reader discussion.
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How to audit a new website: a priority-first SEO checklist
Audit a new website in release order: clear discovery blockers, define page jobs, test representative templates, verify performance and measurement, then resolve every P0 and P1.
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How to make content easier to cite in AI search
No page can force an AI citation. This guide shows how to meet ordinary eligibility requirements, build evidence passages that travel, and measure retrieval without ranking promises.
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Technical SEO launch checklist: what to verify before a new site goes live
Use seven release gates for new sites and migrations: redirects, robots and canonicals, rendering, metadata, performance, measurement, and rollback.
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Topic clusters without keyword cannibalization: a page-job framework
Shared keywords do not prove harmful overlap. Diagnose page jobs, evidence, internal links, and search behavior, then keep, reposition, merge, or retire each URL.
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A lean SEO tool stack: match each tool to a decision
Map Search Console, crawling, browser diagnostics, analytics, and editorial records to the questions they answer. Add a tool only when it closes a documented decision gap.
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How to run small SEO experiments without overclaiming
Treat most small-site tests as structured observations: define one falsifiable question, save the baseline, change one material variable, log confounders, and prewrite the decision.
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Building SearchEngineAnswer.com from zero: 7 Google indexing lessons
SearchEngineAnswer moved from a private WordPress build to 12,216 Google impressions. Seven lessons explain what changed, what did not, and how to measure a new site without confusing property growth with page success.
A useful standard
What every story should make clear
SearchEngineAnswer is an independent publication. Stories should help a reader understand what changed, what the evidence supports, and what to do next.
The reader job is explicit
A story should answer a focused question or support a concrete decision rather than merely announce a topic.
Sources remain inspectable
Material facts stay close to current primary documentation, reproducible evidence, or clearly attributed reporting.
Updates retain context
Meaningful changes, uncertainty, corrections, and publication dates remain visible so readers can judge freshness.
References and next steps