SEO Lab
SEO Lab reports sharing the observation → hypothesis → verification → analysis process. We examine framework design intent, limitations, and breakdown cases.
SEO as the Base, AIO/GEO on Top | 30-Day Data on New Pages Hitting Page 1 Overnight
Clicks +86% and impressions +122% in the 30 days after the search update. Only new pages built on an SEO base with an AIO/GEO overlay (direct answers, structured data, E-E-A-T, llms.txt) reached page 1 the day after publishing. First-party data on the conditions for launch velocity — causal caveats included.
Can Low Domain Power Still Rank? | Beating a High-DA Site with One Page
Even against a high-Domain-Power competitor, a single page can overturn rankings for a specific query through search-intent fit and depth. From an observed reversal against a far stronger legacy site, we dissect what worked and what it does not prove — the difference between a query-level win and site-wide superiority.
What Is GSC's Gen AI Performance Report? How to Measure AI Overview & AI Mode Impact
A guide to the Gen AI Performance Report added to Google Search Console in June 2026. Covers how to read AI Overview and AI Mode impression data, why clicks can't be measured, Pew Research's real-world click data, and our own GSC observations on AI search measurement demand.
Don't Be Fooled by AI Search Stats | Examining the I/O 2026 Hype at Source
A principal-level report tracing the sensational numbers around AI search back to their sources — the causation caveat behind +35%, the real range of CTR drops, and the GSC anonymization trap — to build a judgment that isn't fooled by stats.
Why Google Runs Its Own Ads Now | The AI-Search Threat and the Paradox of Organic as a Moat of Trust
Google's ad blitz is a defensive war against AI search. From the paradox of defending neutrality under threat, the redefinition of organic as a moat of trust, and the diagnosis of SERP real-estate subsidence, we discuss what businesses and builders should do.
Google May 2026 Core Update | What Google Officially Stated, Backed by CodeQuest.work's Real Data
Google rolled out the May 2026 core update on May 21. The official statement was only three lines. We cross-check 'no specific recovery action' and 'a ranking drop isn't necessarily a problem' against CodeQuest.work's measured data on structured data and AIO citations.
SPA Sites Visible to Google But Invisible to AI | AI Crawlers Don't Officially Declare JS Rendering Support
Googlebot, Bingbot, and Applebot have evergreen JavaScript rendering. However, GPTBot, ClaudeBot, and PerplexityBot don't officially declare JS execution. We examine whether SPA (CSR) content may be invisible to AI crawlers by reviewing each crawler's official documentation.
Do AI Referral Sources Differ in Article Genre? | GA4 Observation Report
Tracking referral traffic from ChatGPT, Gemini, Perplexity, and OpenAI Search via GA4 surfaced a clear separation of article genres by AI source. We share what we observed, why it should not be casually generalized, and several interpretive hypotheses.
Is llms.txt Really Unnecessary? | The Correct Reading of Google's Official Statement and Logical Gaps
Claims that 'llms.txt was unnecessary' are spreading. Google did officially say it's not needed — but only for its generative AI search. We analyze the correct reading of the statement, three logical gaps in the unnecessary argument, and contradictions like observed ChatGPT crawler access and Google deploying llms.txt on its own sites.
FAQ Rich Results Deprecated vs Keeping Schema | AIO/GEO Era Verification Begins
On May 7, 2026, Google fully deprecated FAQ rich results. While social media urges removing FAQ schema, Google officially says removal is unnecessary. We examine FAQPage structured data's new role in the AIO/GEO era.
Cited in AIO Despite No Organic Ranking | Verifying the Gap Between Search Position and AI Overview
Our site didn't appear on page 1 organically for 'seo score check free,' yet was cited first in AIO. We verify the gap between search rankings and AIO citations with real data and Ahrefs research.
Is Domain Power a Google Ranking Factor? | Fact-Checking with Official Sources
Domain Power (DA/DR) is not an official Google metric. Fact-checking the industry's 'common knowledge' using Google employee statements, official documentation, and tool vendors' own disclosures.
What to Check for AI Overview Optimization | AIO Citation Conditions & SEO Audit Items
AIO citation conditions and audit items verified through 300K-URL analyses and external data. Structured data 3x implementation rate, E-E-A-T, and content clarity are top citation predictors. SEO check items for the AIO era.
Does llms.txt Work as a GEO Strategy? | CDN Log Data Analysis
Does deploying llms.txt get you cited in AI search? Analyzing CDN logs from ChatGPT, Perplexity, and Claude plus 300K domain studies to verify llms.txt GEO effectiveness.
Does Structured Data Improve SEO? | The Real Effect Is CTR, Not Rankings
Cross-tool verification of structured data impact using GA4, Direbase, and GSC. The real effect: rankings stay flat but CTR improves. Why Rich Results eligibility matters most.
New Domain Search Performance Analysis | Diagnosing the 17K Impressions vs 42 Clicks Gap
Perfect technical setup, yet only 42 clicks. A cross-tool diagnostic using GA4, Direbase, and GSC to unpack the impression/click gap on a new domain.
SEO Strategy for Tool-Based Content | Design Patterns That Match Search Intent
Why do tool-based pages outperform articles in search? Using real CTR and engagement data, we demonstrate the cross-tool analysis process with GA4, Direbase, and GSC.
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