AI Search Source Credibility: Build a 32-Field Audit Ledger
Adapt an EACL 2026 study into a claim-source audit that preserves sample, user role, credibility rules, groundedness, adjudication and limitations.
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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.
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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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Citation Absorption: Audit How Sources Shape AI Answers
Audit what an AI answer actually uses from each cited source with a claim-passage ledger for contribution, fidelity, review, limits, and re-audit.
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ChatGPT Plugin Metadata: Test Tool Selection and Restraint
Evaluate plugin metadata with direct, indirect, and negative prompts; confusion counts; argument and safety checks; controlled revisions; and a reusable ledger.
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How to Validate AI Visibility Scores Against Referral Traffic
Match AI-visibility scores to referral sessions by page, platform, date, coverage and lag before calculating correlation or making a traffic claim.
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AI Visibility Tools in 2026: A Buyer’s Measurement Matrix
Compare AI visibility tools by prompt provenance, execution method, evidence access, metric definitions, platform coverage, cadence, and decision fit.
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What 45 GEO Studies Actually Prove—and What They Do Not
A critical 2026 survey separates retrieval, citation, absorption and downstream behavior—and finds the evidence narrower than most GEO claims.
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ChatGPT Referral Growth: Separate AEO Lift from Platform Tailwind
Separate intervention-aligned ChatGPT referral movement from platform growth with treated and control definitions, first-party evidence, placebo checks, organic guardrails, and a reusable ledger.
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Citation Wars: Can GEO Optimization Make Content Worse?
A 2026 simulation shows how citation-seeking rewrites can degrade quality—and how to test AEO changes without sacrificing evidence or reader value.
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Cloudflare MCP Detection vs Crawler Control: A 24-Request Test
Separate Cloudflare Gateway MCP policy from public crawler controls with a 24-request fixture and a 145,325-request origin-log field audit.
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