Log — AI Search Wiki
Append-only history. Each entry starts with ## [YYYY-MM-DD] <op> | <title> where
<op> is ingest, query, lint, or split, so grep "^## \[" log.md | tail -5 works.
[2026-06-01] split | ai-search-wiki created from _inbox cluster ai-search-landscape (4 sources)
The cluster reached a clean 4 in one Telegram burst — all on the AI transformation of search:
google-io-business-visibility (agentic commerce / business-visibility gap), duckduckgo-no-ai-search
(consumer backlash / market fragmentation), ai-content-seo-visibility (AI-era SEO playbook),
and brand-depth-ai-recommendations (the GEO mechanism). Too specific for any existing spoke;
the SEO/PPC skill packs in ../agentic-tooling-wiki are tools, not this strategy/landscape topic.
Scaffolded from CLAUDE.template.md; domain = the AI transformation of search & discovery.
Ingested all four (URL-only) as source summaries + 3 concept pages: ai-search-shift (umbrella
event — Google's May 2026 overhaul), generative-engine-optimization (the central concept),
agentic-commerce. Synthesis frames it as one shift with two reactions (consumers contest AI
search; brands adapt via GEO) and flags the measurement gap + vendor-incentive caveats. Cross-wiki
bridges: agentic-seo-skill/claude-skills-ppc (tools, ../agentic-tooling-wiki),
retrieval-augmented-generation (../research-wiki). _inbox ai-search-landscape records cleared.
Spoke count 7 → 8.
[2026-06-02] ingest | Why Great Content No Longer Works (SEJ / MIT research)
Routed in by the hub (clear AI-era match; not the parked seo-ops traditional-SEO bucket). Created great-content-no-longer-works (Article): AI Overviews extract content → click-through collapse ("digital enclosure of publishing", Fishkin); MIT AI Labor Exposure Map = 65% of marketing tasks automatable; response = ignore traffic, build inimitable products. Updated ai-search-shift (added the content-enclosure / click-collapse mechanism) and synthesis Contradictions/tensions with a new strategic fork: optimize-the-channel (GEO) vs. abandon-the-channel-and-differentiate. Caveat: SEO-trade op-ed; 65% is a labor-exposure estimate.
[2026-06-03] ingest | How SEO Turns Customer Success into AI-Readable Proof (SEL)
Routed in by the hub (AI-era; explicitly "not traditional SEO"). Created customer-success-ai-readable-proof (Article): Assistive Agent Optimization (AAO) — publish verifiable post-sale proof (quantified outcomes, testimonials, delivery data) in machine-readable form because "agents verify brand claims against the open web." Framework OPIDC. Updated generative-engine-optimization with an operational-proof bullet (the retrieval-verification side of brand depth, sourced from CS/delivery not marketing). Notably also answers the contrarian great-content-no-longer-works from one side: real outcomes are inimitable proof AI can't fake. Caveat: SEO-trade op-ed; AAO/OPIDC are coinages.
[2026-06-03] split/broaden | ai-search-wiki scope broadened to all search/SEO/PPC (human directive "B")
Asked the human (search-marketing-ops cluster hit 3): (a) spin out a sibling vs (b) broaden this
spoke. Chose (b). Absorbed the 3 traditional sources from _inbox: seo-commissioning-workflow,
seo-affiliate-alignment, b2b-ppc-metrics. Added umbrella concept search-marketing
(organic SEO + paid PPC + affiliate; ops/strategy/measurement) framing the wiki as one continuum:
traditional search marketing → ai-search-shift → generative-engine-optimization. Broadened
the CLAUDE.md domain + synthesis (new "Scope: one continuum" section) + index (split AI-era vs
traditional). Updated wikis.md domain/keywords. Dir name kept (ai-search-wiki, historical). Deleted
the 3 _inbox records; the search-marketing-ops cluster is now resolved into this spoke.
[2026-06-03] rename | ai-search-wiki → search-marketing-wiki (human directive "Please rename")
Renamed the spoke directory to match the broadened scope (now the whole search/SEO/PPC landscape,
not just AI-search). Wikilinks are slug-based so they were unaffected; updated the CLAUDE.md title +
header, index title, hub CLAUDE.md spoke list, and the wikis.md registry block header. Prior log
entries above retain the historical ai-search-wiki name (append-only). Clean site rebuild + verify.
[2026-06-04] ingest | Why So Much SEO Work No Longer Drives Growth (Search Engine Land)
Hub-routed (Telegram). New source summary seo-no-longer-drives-growth (Article, url-only). Thesis: the traditional SEO deliverables (packaged keyword research, high-volume content, standalone on-page) have commoditized and no longer drive growth; teams must reallocate to five non-commoditizable capabilities — entity/brand building, original research, distribution & PR, AI-search visibility, analytical depth. In-house: senior strategists over production headcount; agencies: capability offerings over retainer deliverables.
New concept page seo-operating-model-shift (DefinedTerm) — the labor/org layer (what-work-by- whom) beneath the existing what-to-optimize-for visibility pages. Updated synthesis (new "operating-model consequence" section + a partial reconciliation of the optimize-vs-abandon fork: the five capabilities draw from both camps, so the choice is "drop commoditized production, keep the non-commoditizable work," not optimize-vs-abandon) and search-marketing (added an operating-model section + cross-links). Index: new DefinedTerm + Article rows. Maps the MIT "65% automatable" finding (great-content-no-longer-works) onto org design. Caveat: SEO-trade op-ed, qualitative only ("18 months across our client base"). No fact contradictions — narrows an existing tension.
[2026-06-07] ingest | Google's new guidance claims authority over SEO, tools, and AEO/GEO
Hub-routed (Telegram). New source summary google-guidance-seo-authority (NewsArticle, url-only; SEJ, Roger Montti). Google's new Search Central guidance makes Google's own docs the benchmark for SEO advice, claims AEO/GEO fall under its purview, warns third-party tools lack Google's internal ranking data ("predictions … may not happen"), and steers practitioners to Google Search Console as the "first-party tool." Author questions the motive (imminent algorithm change vs. canonicalizing authority).
New concept page answer-engine-optimization (DefinedTerm) — AEO, the near-synonym sibling of GEO the wiki was missing (the article foregrounds "AEO/GEO"). Updated generative-engine-optimization (new "contested ownership — the platform claims authority" section + AEO cross-link) and synthesis (new "platform asserts authority" section — opacity-from-the-source + inverted vendor-incentive caveat; two new open questions on definitional ownership). Index: new DefinedTerm (AEO) + Article (source) rows. Caveat: SEO-trade reportage of a Google stance; Google's own canonical-authority/GSC-adoption incentive flagged.
[2026-06-09] ingest | Google says hyphenated domain names are okay for SEO
Hub-routed (Telegram, SEJ, Roger Montti). New source hyphenated-domains-seo (NewsArticle, url): John Mueller (Google) confirms on Bluesky that dashes in domains carry no SEO penalty (Google has indexed domains with up to 61 hyphens). Nuance: the only real cost is user perception (spammy/ typing/trust), not the algorithm — brands like mercedes-benz.com / coca-cola.com / e-verify.gov rank fine. Filed under traditional/technical SEO: updated search-marketing (new "technical-SEO myths" bullet + Related/date). Cross-linked to google-guidance-seo-authority as another instance of the "Google as SEO authority" thread. Index updated. No new concept page; no synthesis change (minor tactical fact). Caveat: staff-writer relay of an off-the-cuff social reply.
[2026-06-09] ingest | +2 foundations (E-E-A-T, llms.txt) — all-spokes cron test
Rich spoke, so a tight, non-padding pass adding two genuinely-absent first-party/standard pieces: e-e-a-t (DefinedTerm, src — Google's Experience/Expertise/Authoritativeness/Trust quality framework; not a direct ranking factor; the Google-authored root of the brand-depth/credibility thesis) and llms-txt (DefinedTerm, src — proposed /llms.txt curated-markdown map for AI at inference time; the GEO counterpart to robots.txt/sitemaps). Both sharpen "is GEO just SEO rebranded?" — old credibility signals re-aimed (E-E-A-T) + genuinely new plumbing (llms.txt). 18 → 20 pages.
[2026-06-10] ingest | AI Overviews + Google Search Console — all-spokes pass (the product + the meter)
Two pages grounding the thesis's most abstract points in concrete dated objects (spoke recently grown, so kept to 2). ai-overviews (DefinedTerm, url, Wikipedia) — Google's Gemini-powered summaries atop results: the ai-search-shift as a product, on >48% of searches by March 2026 (from ~6.5%), ~67.1% desktop screen with a snippet — hard supply-side data under both the click-collapse (great-content-no-longer-works) and GEO-necessity threads; publisher lawsuits + Jan-2026 health restriction sharpen the opacity/platform-power theme. google-search-console (SoftwareApplication, url, Wikipedia) — Google's first-party Search-performance tool: the meter behind "the only authoritative signal is the one Google exposes" (google-guidance-seo-authority says use GSC over third-party tools); but it reports Search, not AI-Overview/GEO consideration — pinning the measurement-gap open question to a specific tool (AI recommendation stays unmeasurable → unfalsifiable advice risk). Folded into synthesis (new "product and the meter" section) + index (DefinedTerm + new SoftwareApplication group). No contradictions — both deepen existing threads. 20 → 22 pages.
[2026-06-12] ingest | Pew Research — AI Overviews suppress clicks
All-spokes daily expansion. Added pew-ai-overviews-clicks (@type Report) — the wiki's first neutral, non-trade/non-vendor data point, directly addressing the standing vendor-incentive caveat. Pew field study (n≈900 US adults sharing browsing data; 58% hit an AI summary in March 2025): AI-summary pages halve link clicks (8% vs 15%), only 1% click a link inside the summary, and 26% vs 16% session-ending. Independently corroborates the ai-overviews click-collapse / great-content-no-longer-works thread without trade incentive; tips the optimize-vs-abandon fork's shared "click channel is collapsing" premise toward confirmed. Does NOT close the GEO-measurability gap (measures clicks lost, not model consideration). Updated synthesis (vendor-caveat + fork notes), index (new Report group). 1 new page.
[2026-06-15] ingest | Google Search Essentials — T1 ruleset anchors the platform-authority thesis
Quality cycle, T1-floor raise (the spoke was the most trade-press-heavy: T1 3 / T4 13). Added the
canonical first-party ruleset as a source: google-search-essentials (TechArticle, T1) —
Google's three pillars (technical requirements + 16 named spam policies + best practices). Grounds two
threads previously carried by SEO trade press: (a) the platform-authority thesis
(google-guidance-seo-authority) now points at Google's actual published benchmark, not commentary
about it; (b) the AI-content thread — the scaled content abuse policy prohibits "using generative
AI tools to generate many pages without adding value," i.e. Google penalizes mass-produced rank-gaming,
not AI per se — first-party grounding for ai-content-seo-visibility. Opacity theme reinforced
from the source ("meeting the requirements doesn't mean Google will crawl/index/serve"). Threaded into
synthesis (Foundations section retitled; Source-base caveat T1 3→4). Quoted from the Search Essentials +
Spam Policies pages. Found via direct fetch. Linked from synthesis + index (new TechArticle section). 1 new page.
[2026-06-16] ingest | Google Index Checker use cases (hub-routed, Telegram) — the measurable floor
Ingested the OfficeChai how-to "8 Google Index Checker Use Cases Beyond New Blog Posts" (T3, vendor-
adjacent — built around promoting Rapid Index Checker). Created source summary
google-index-checker-use-cases (Article) + a tool-neutral concept node search-indexation
(DefinedTerm): whether a URL is in Google's index at all. Gap-relevance: it pins a measurable floor
under the recurring measurement-gap question — indexation is checkable (google-search-console's
index-coverage report or third-party checkers), unlike AI consideration which isn't. Wired both into
google-search-console (index-coverage bullet + Related) and folded a sentence into synthesis
distinguishing the verifiable traditional layer from the unmeasurable AI-recommendation layer. Lands on
the traditional/operational side of the spoke (technical-SEO hygiene). Entity discovery: no new nodes —
publisher OfficeChai and the named tool are too thin/promotional to page (evidence-only); google
already exists cross-wiki (../llm-providers-wiki). +2 pages.
[2026-06-17] ingest | Why Publishing More Content Is Making Your SEO Worse (SEJ / Shelby)
Routed in by the hub (clear AI-era search/SEO match; runner-up none). Created publishing-volume-hurts-seo (Article, T4, url-only): the "more pages = more chances" coverage logic inverts under AI retrieval — volume now hurts via semantic dilution, internal vector competition (pages "competing for embeddings, not just rankings"), crawl waste, and entity-coherence erosion; remedy is "publish with intent" / consolidate. Added two DefinedTerm nodes: authority-density (the metric that replaces page-count — "clarity, not volume"; supply-side mirror of brand-depth-ai-recommendations) and keyword-cannibalization (classic SEO self-competition, generalized to semantic/vector overlap — a traditional→AI-era bridge). Updated brand-depth-ai-recommendations (Related + a supply-side-mirror line) and synthesis (new "volume inverts — density beats coverage" thread under the brand-depth mechanism; lands optimize-the-channel on the central fork; tier audit T4 13→14). Entity discovery: no new nodes — spoke convention pages no columnist authors (0 Person nodes across ~15 sources) and no publisher nodes; kept Carolyn Shelby / CSHEL inline. Caveat: conceptual op-ed, zero quantitative evidence; harm + remedy unmeasured. +3 pages.
[2026-06-18] ingest | Google Tightens Requirements For Domain Migrations (SEJ)
Telegram-dropped; hub-routed → search-marketing (runner-up: none). Source summary
google-domain-migration-requirements (NewsArticle, url, T2 — SEJ/Roger Montti relaying a
first-party Google Search Console doc/changelog change). New concept domain-migration (DefinedTerm —
site move / Change of Address). The change: a migration now needs a Change of Address for every
verified domain variant (each subdomain + www/non-www, even unused ones), since stray linking makes Google
crawl forgotten permutations. Gap-relevance: fills out the spoke's thin traditional technical-SEO ops
half and reinforces the platform-authority / first-party-GSC thread (google-guidance-seo-authority,
google-search-console); a botched migration shows up as search-indexation loss. Integrated into
synthesis (new "traditional technical-SEO ops" subsection + tier-tally note) + index; cross-linked GSC.
Entities: none noded — author (Roger Montti) / publisher (SEJ) per house style for trade-press ingests
(no existing SEJ author/org nodes). freshness: fresh. Rebuild + commit follow.
[2026-06-18] ingest | DefinedTerm enrichment pass (subagent)
Deepened the five thinnest DefinedTerm pages with new first-party sourced facts (subagent pass):
- domain-migration — added Google's first-party site-move mechanics from google-site-move-doc: 301/308 keep PageRank, ≤3-hop redirect chains, keep redirects ~1yr for signal transfer, HTTP→HTTPS exempt, weeks-to-longer timeline, change-one-thing-at-a-time.
- llms-txt — added the actual spec structure from llmstxt-spec (Jeremy Howard, 2024-09-03):
H1-only-required, blockquote summary, H2 link-lists, the
Optionalskip-section; nollms-full.txtin spec. - keyword-cannibalization + authority-density — grounded "consolidate" in Google's canonicalization doc google-consolidate-duplicate-urls (split signals/wasted crawl; redirect > rel=canonical > sitemap), framing density as the embedding-space re-reading of classic canonicalization.
- agentic-commerce — added the shipping ACP standard from agentic-commerce-protocol: merchant
keeps business logic + own PSP, OpenAI not merchant-of-record, discovery runs off product feeds (the GEO
substrate); payments-rails contest noted as
../agentic-tooling-wikiterritory.
New source pages: google-site-move-doc (T1), google-consolidate-duplicate-urls (T1),
llmstxt-spec (T1), agentic-commerce-protocol (T2). All four fetched live. Blocked: openai.com/index
(403) → used developers.openai.com ACP docs instead. Index updated (TechArticle group), updated bumped on
all five concept pages. No build/commit (orchestrator handles).
[2026-06-20] ingest | floor-raise — Google's first-party AEO/GEO + third-party-tools guidance (T1)
Quality-cycle follow-up: the spoke's weakest floor (T4×14, flagged 2026-06-19) is partly upgradeable —
several T4s only reported a Google/MIT primary. Replaced the trade-press grounding of the AEO/GEO
pages with the actual Google Search Central primaries (found via WebSearch, fetched live): new
google-ai-optimization-guide (T1 — AI features = core ranking + RAG/query-fan-out; SEO fundamentals
hold; mythbusts llms.txt/chunking/AI-rewrites/structured-data) and google-third-party-seo-guidance
(T1 — Google doesn't endorse 3rd-party tools; scrutinize "AEO/GEO tools"; use Search Console). Upgraded
answer-engine-optimization T4→T1 (re-grounded its url: from the SEJ op-ed to Google's primary),
deepened generative-engine-optimization with Google's deflationary stance, and corroborated
llms-txt with Google's explicit "Search doesn't use llms.txt." Net floor effect: search-marketing T4
14→13, +2 T1. The remaining T4s are genuine practitioner analysis (no higher primary) — left honest.
[2026-06-22] ingest | X-Frame-Options matters for SEO (SEJ / Mueller)
New source page x-frame-options-seo (T4, freshness volatile) — SEJ relaying a John Mueller (Google)
Reddit comment: of the HTTP security headers, the only one he could imagine affecting SEO is the
iframe-blocking header (X-Frame-Options / CSP frame-ancestors); the benefit is defensive (stop a
third party ranking your content framed under their domain), not a positive ranking lever — a
technical-SEO hygiene point. Same genre as the existing hyphenated-domains-seo
(SEJ-relays-Mueller-on-a-narrow-technical-SEO-myth): folded into synthesis under Traditional technical-SEO
ops and the "Google as SEO authority" thread (google-guidance-seo-authority). Fetched live via
WebFetch. Index updated (Article → Traditional search marketing); synthesis.md updated bumped. No new
Thing page — the mechanism is captured in the source summary and cross-linked to existing nodes. (No
build/commit here — orchestrator handles.)
[2026-07-08] ingest | AI-powered content-gap-analysis workflow (SEL / Sara Vicioso)
Routed from Telegram (hub). New source ai-content-gap-analysis-workflow (HowTo, T3, searchengineland.com)
— Sara Vicioso's 6-step workflow (choose competitors → gather Semrush/GSC/GA4 → Claude clusters by
intent/funnel/relevance/authority → 5-factor score → page-level briefs → measure & re-run quarterly), fed via
CSV or MCP, with a self-validation prompt ("if GSC/Analytics changes your recommendation, explain why").
New concept node content-gap-analysis (DefinedTerm) — the classic find-competitor-gaps-and-prioritize
technique; captures the traditional workflow + what AI changes (the organizing step, not the data pull).
Integrated into synthesis under The operating-model consequence as a task-level instance of
seo-operating-model-shift (commoditized row-scrolling → the model; strategy stays human; validate against
first-party GSC); also lands on the clarity-over-volume side.
Cross-spoke: the Claude+MCP mechanism is ../agentic-tooling-wiki territory (runner-up) — noted on the source page,
routed here because the SEO practice is the dominant substance. T3 (trade-press practitioner how-to, vendor-
specific, no primary data). Ran avoid-ai-writing. +2 pages.
[2026-07-08] ingest | Search Console platform properties for social/video (Google Search Central)
Routed from Telegram (hub). Fetched via firecrawl (WebFetch returned only the archive shell — JS page). New source gsc-platform-properties (TechArticle, T1, developers.google.com; by Moshe Samet, PM Lead GSC, 2026-07-07) — a new GSC property type for social/video accounts (Instagram, TikTok, X, YouTube): Performance (clicks/impressions by post & query, exportable), Insights (trends/top posts/discovery), and Achievements (milestones), showing how off-site posts perform on Search & Discover even without a website; follows a Dec-2025 experiment; rolling out over the coming weeks. Updated the google-search-console Thing page ("What it exposes" + note that this extends GSC's meter beyond your own domain). Synthesis: folded into the product-and-the-meter thread — "the platform owns the meter" now reaches off-site content, same bound (measures Search/Discover clicks, not AI-Overview/GEO consideration). Entities (Moshe Samet, Google) deferred per the spoke's standing posture. No structural move → no verify. Ran avoid-ai-writing. +1 page.
[2026-07-10] ingest | 8 Semrush Alternatives (AnswerSocrates blog) (hub-routed, Telegram)
Ingested the AnswerSocrates "8 best Semrush alternatives" listicle — the wiki's first map of the SEO-software landscape. New semrush-alternatives-answersocrates (BlogPosting, source, T4 — vendor listicle, self- ranked #1, conflict of interest flagged) + new concept seo-tools (all-in-one suites Semrush/Ahrefs/Moz vs budget Ubersuggest/Mangools vs niche AnswerSocrates/SEO Scout; trust-the-tool-not-the-ranking; question-mining feeds GEO). Did not create 8 tool pages (disproportionate for a T4 promo source) — named inline, earn pages on a substantive source. Synthesis: added the software-layer note to the scope section, tying it to the Google-third-party-guidance caveat and the traditional→AI-era (question-research → GEO) seam. Prices volatile. avoid-ai-writing applied (clean). +2 pages.
[2026-07-10] ingest | groas — autonomous AI Google Ads management (hub-routed, Telegram)
Ingested groas.com (vendor landing page; WebFetch 403 → Firecrawl). New groas (SoftwareApplication/ Organization, source, T4 — self-promotional, all figures unaudited). Product: fully-autonomous ML agents running a Google Ads account end-to-end (bids/keywords/budget/ad-copy + intent-matched dynamic landing pages) for ROAS; "trained on $500B+ profitable Google spend" (the "$500B engine"); self-reported $100m+/yr across 500+ clients; sold as a full PPC-manager/agency replacement. Wired into the paid-search half: search-marketing (new paid-automation bullet), b2b-ppc-metrics (backlink + "automation stress-test" — groas optimizes the very ROAS/conversion metrics that page calls unreliable), and the seo-operating-model-shift carried to PPC. Synthesis: new "Paid-search automation" thread + T4 tally bump. The Telegram title's "ChatGPT Ads" is NOT on the homepage (100% Google Ads) — recorded as an unsubstantiated forward claim toward agentic-commerce. Entities: only groas itself substantive (testimonial names too thin) — no extra nodes. No structural move → no verify. avoid-ai-writing applied. +1 page.
[2026-07-14] ingest | Scaled AI Content Often Fails & Google's Crawl Economics Explain Why (SEJ, hub-routed, Telegram)
Ingested SEJ (Dan Taylor, VIP Contributor): scaled AI content fails on crawl economics, not AI-dislike. Google's finite compute is allocated by inventory-vs-utility / demand / authority; thin-page floods exceed the crawl budget Google will spend → burst-crawl → freshness boost → decay → de-index for pages not re-crawled within ~75–140 days, with low-value clusters getting reduced crawl frequency (compounding). Scaled-content-abuse manual actions (keyword-swap / mass auto-translation / summarize-without- gain) read as resource-economics enforcement. New pages: source scaled-ai-content-crawl-economics (Article, T3 — analysis of Google's crawl-budget docs, no original data; the day-window is the author's number); new mechanism node crawl-budget. Wired the supply-side half into the volume-inversion thread: updated publishing-volume-hurts-seo (crawl-inefficiency bullet now has its own node), search-indexation (indexation is not permanent — recedes via crawl decay), authority-density (crawl = what buys continued indexing, not only embeddings). Synthesis: extended "Volume inverts" with the crawl-economics supply-side gate (retrieval-side harm + supply-side gate = the full inversion); nudges the density family off pure conceptual reasoning toward documented crawl mechanics (still T3). Followed spoke convention: no author/publisher nodes (this spoke pages none). avoid-ai-writing self-pass (clean, house voice). +2 pages, 3 updated.
[2026-07-19] ingest | Google Search Central (YouTube) + "When to use Validate Fix" (SEJ)
Two interlocking sources routed here by the hub, ingested together. (1) google-search-central — the
YouTube channel URL landed via Telegram, but it's really Google's whole Search Relations program
(ex-"Webmasters"): docs + channel + search-off-the-record podcast + SEO Office Hours. Typed
[Organization, WebSite], source: true, url=youtube, T1. Fetch caveat: the channel index is JS/anti-bot
blocked — WebFetch and Firecrawl both returned only YouTube's shell (only the "Welcome to Google Search
Central" featured video was readable), so the page is grounded in uncontested public record, not a scrape;
noted on the page per the hub fetch-fail rule. (2) gsc-validate-fix-guidance — SEJ relaying a
search-off-the-record episode (Mueller/Splitt): GSC's Validate Fix only
samples URLs + accelerates a recrawl, doesn't verify the fix; skip it unless you fixed a real site-wide
error. Typed [NewsArticle], T2 (first-party in substance, podcast-relay in form — cf.
google-domain-migration-requirements).
New pages: google-search-central, gsc-validate-fix-guidance, search-console-validate-fix (mechanism), plus
entities john-mueller (Search Advocate), martin-splitt (Developer Advocate), search-off-the-record
(PodcastSeries). Reused cross-wiki google (Organization, ../llm-providers-wiki) — not duplicated. Updated
google-search-console (Validate Fix bullet + links), hyphenated-domains-seo + x-frame-options-seo
(now link the john-mueller entity they already named). Synthesis: new subsection "The apparatus behind
'Google as SEO authority'" — names the program + humans, adds the T1-doc → T2-podcast → T4-social tier
ladder on the same first-party authority, and folds Validate Fix into the meter (google-search-console) +
crawl-economics (crawl-budget) threads (the button's only lever is recrawl timing). avoid-ai-writing
self-pass (house voice). +6 pages, 4 updated. Per-route verify deferred per hub policy.
[2026-08-04] lint | re-tiered on what pages rest on, not who published them
Second application of the rule added to ../QUALITY.md on 2026-08-04 (../music-tech-wiki was the first),
run at the curator's instruction over all 36 tiered pages here.
T1 12 / T2 5 / T3 3 / T4 16 → T1 13 / T2 3 / T3 11 / T4 9
The 16 T4s split three ways. Six → T3, because Google is the vendor in this domain and a trade piece carrying its guidance is the vendor speaking through a masthead: google-guidance-seo-authority (new Search Central guidance), hyphenated-domains-seo and x-frame-options-seo (John Mueller confirmations), google-io-business-visibility (I/O demos), duckduckgo-no-ai-search (a shipped product reported), and groas — a company's own landing page, which was never T4 material.
One → T2: great-content-no-longer-works, the only page here resting on a named third-party measurement (MIT Work Analytics Lab, 65% of marketing-specialist tasks automatable). Tier note added to the page, including the caveat that what this wiki holds is SEJ's argument built on MIT's number rather than the map itself.
Nine stay T4 — practitioner argument with no data and no first-party source, plus one listicle (semrush-alternatives-answersocrates).
The rule cut upward as well: agentic-commerce-protocol T2 → T1 (an official published specification, where the ladder puts specs regardless of author — same grade as llmstxt-spec); gsc-validate-fix-guidance and google-domain-migration-requirements T2 → T3, both SEJ relaying Google, which is the same move as the six above and had been graded inconsistently with them.
Read the new number honestly. The T4 count nearly halving is not the floor improving. The old count conflated "trade press said it" with "trade press made it up", and six of those pages were carrying Google's own words. The nine that remain are the real measure, and 9 of 36 is still the highest T4 share in the corpus. The structural reason stands: SEO has almost no peer-reviewed or standards literature, so practitioner trade press is the field's record.
[2026-08-05] ingest | awesome-ai-lead-generation — the outbound half arrives (curator-directed)
Routed from the hub. The routing history is part of this entry, because it should be. The router
parked this source in _inbox/ earlier today as out of scope: this wiki owns search, and cold email,
scraped contact lists and voice diallers are the other direction of the funnel. The curator overrode the
park and directed it here. The park record is deleted and the hub log.md carries both entries.
Pages: awesome-ai-lead-generation (Collection, source, T3), lead-generation (the practice — signal → resolution → contact → personalization), cold-email-deliverability (the gate on the contact step). synthesis gains "The outbound half arrives", which states the case for the fit and the case against it rather than resolving one into the other, plus three open questions.
The connection that makes it more than a filed link. Someone posting "what tool does X?" in a subreddit ran a query nothing indexes. That is the demand search-marketing competes for, reaching sellers through a channel where monitoring replaces ranking. The shared input is concrete: seo-tools already records question-and-intent research feeding both keyword SEO and GEO, and content-gap-analysis mines those questions to decide what to publish — social listening mines them to decide whom to message.
The second one is a hypothesis and is labelled as one. cold-email-deliverability and google-search-essentials describe the same gatekeeper structure, and the search side of it is documented (publishing-volume-hurts-seo, scaled-ai-content-crawl-economics: density beat coverage once generation got cheap). Whether warming more inboxes ends the way publishing more pages did is unsourced on the email side — no source in this corpus documents mailbox-provider policy, SPF/DKIM/ DMARC, or anti-spam law. Recorded in open questions, kept out of the thesis.
Quality gate. T3, justified: single pseudonymous maintainer (toofast1), no inclusion criteria, no
outcome data on any of the 24 tools, and one entry (Leado) marked "Editor's choice" with no disclosed
relationship — the semrush-alternatives-answersocrates problem again. Two entries contradict the
list's own outbound thesis (Fireflies.ai is a meeting recorder by its own admission; Taplio generates
inbound LinkedIn content). Dedup: nothing in the corpus touched lead-gen, outbound or cold email —
grep found zero hits, so all three pages are new rather than refreshes. Gap-relevance is the weak leg:
this closes no open question the wiki had, it opens three.
Entity discovery: none created, deliberately. The 24 vendors are the source's subject, and
../ENTITIES.md excludes the subject from discovery. The only agent is a pseudonymous GitHub handle with
no evidenced affiliation, which the relevance gate makes a plain mention. entity-index not run — no
candidate cleared the gate to look up.
Standing caveat: the entry roster is a volatile 2026-08 snapshot of a market that churns.
[2026-08-08] ingest | How to spot an emerging category in search data (Search Engine Land)
Routed from the hub (Telegram). Claire Taylor, 2026-08-06. T2 — trade-press masthead, but the author pulled and analysed SE Ranking US/UK keyword data rather than relaying a vendor, which is what the tier rule keys on.
New pages: emerging-category-search-signals (source), category-emergence (practice), plus entities claire-taylor and search-engine-land.
Why it earns a concept page. This spoke is almost entirely about competing for demand that exists. This works a step earlier — detecting a category while it forms — and the signals are shape, not size: authentic phrasing absent from the tools, formal vocabulary (standards, regulations, job titles) before plain language, several labels contesting the same idea, difficulty below demand, and SERPs where boutiques outrank the Big Four. Three anti-self-deception rules make it a method: fixed cohorts, 12-month window, commercial-intent terms.
Best evidence in the piece is the same category in two markets — AI governance at US difficulty 68–72 against UK 25–32 — the window closing in one and open in the other.
Folded into synthesis on two threads: it gives seo-operating-model-shift a concrete non-commoditizable task, and it sharpens rather than closes the measurement gap — everything here is counted in searches and rankings while the spoke's #1 edge asks for share of AI recommendation. Recorded plainly: if ai-search-shift holds, this is a better instrument aimed at a shrinking surface, and the article does not say so.
New edge (5): a false-positive rate for the method. Every case is told forward from a category that emerged; nobody reports the clusters that showed all five signals and went nowhere.
Cross-spoke, noted not duplicated: the primary case study is AI governance, which is its own
spoke here — the figures are demand-side evidence that field is in early-adopter growth. And the method
is an empirical instrument for ../research-wiki's diffusion/adoption cluster (Rogers, Moore, hype cycle,
Bass), which holds the models and no way to observe one live.
Entities: 2 created.
[2026-08-08] ingest | GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024)
Research pass (20-edge run), hub edge #4 — the spoke's #1 growth edge and, as its own text said, "the edge the whole GEO thread rests on." Closed. geo-paper new, T1.
The omission it fixes is embarrassing and worth logging plainly: generative-engine-optimization is this wiki's central concept and the page was built entirely from trade coverage about the paper. The paper itself was never ingested.
What it supplies: a visibility metric defined over the generated answer — position-adjusted word count, plus a subjective-impression measure — which is the consideration metric the spoke kept saying nobody had. Plus GEO-bench (~10,000 queries, nine datasets) and results: up to 40% visibility gain, largest from adding verifiable statistics, credible quotations and source citations, varying by domain.
Tension recorded rather than smoothed: brand-depth-ai-recommendations holds that entity salience drives recommendations and citations are outcomes, not levers. The GEO paper's measured interventions are passage-level content edits. Both can hold — different mechanisms — but the only controlled measurement in this spoke is of the passage-level kind, and the page now says so.
Not recorded: C-SEO Bench (arXiv 2506.11097) came back with an internally inconsistent extraction (it misnamed GEO and its stated conclusion did not hang together). Named as the next read, no finding taken from it. Also considered and not ingested: Semrush's 2026 AI Visibility Index — 126M prompts, Jan–Apr 2026, real figures (ChatGPT ~15 sources/response vs Gemini ~3; only 36 brands held top-100 visibility on all four platforms) — but it publishes no methodology, and its press release doubles as a sales argument for Semrush's own tooling. A measurement nobody can check does not close the edge this spoke opened because GEO claims were uncheckable.
[2026-08-08] ingest | C-SEO Bench — and a same-day correction to the GEO ingest above
c-seo-bench new (T1, Puerto et al., NeurIPS 2025). Read after the geo-paper ingest earlier today, once a local PDF extractor made the paper readable — the WebFetch summary of it had been internally inconsistent and, correctly, nothing had been recorded from it.
Reading it properly reverses this morning's edge closure. geo-paper was logged as closing the spoke's #1 edge — a consideration metric measuring recommendation share rather than clicks. C-SEO Bench shows the metric does not measure that:
"The differences are due to the metrics used. They report their main results as word count… this metric does not measure the LLM preference, contrary to the citation ranking that we use."
Its results across two tasks, six domains and varying adopter counts: C-SEO methods "largely ineffective" and often harmful — Statistics lowers ranking in 19 of 24 settings; 26 of 30 product- recommendation cases on Haiku 3.5 show significant negative effects; 19 of 30 QA cases on o4-mini. Retrieval ranking dominates, and gains shrink as adoption rises (zero-sum).
Edge #1 reopened, with the lesson written into it: it was closed on a proxy metric nobody had checked, which is the exact failure the edge exists to prevent. Both papers kept — this is a single-actor result in a narrow domain failing to generalise, not a discredited paper.
generative-engine-optimization carries a warning at the top now: most advice on that page descends from interventions this benchmark found ineffective or harmful.
[2026-08-12] ingest | The auction under the paid half (quality cycle)
Coverage edge 6 closed with both halves it asked for. The spoke had b2b-ppc-metrics and groas — what an advertiser measures — and no page on the mechanism producing those numbers.
gsp-auction-paper (T1, Edelman, Ostrovsky & Schwarz, American Economic Review 97(1):242–259, read in full from the authors' 25-page copy). Held: the commercial scale (over 98% of Google's $6.14 bn 2005 revenue came from GSP auctions); the three generations (batch cost-per-impression → Overture's 1997 generalized first-price → Google's second-price AdWords Select, February 2002); the instability example (bids climbing $2.01 → $2.02 → $2.03 with no pure-strategy equilibrium, and revenue falling to 2.02 cents per click when one bidder automates against slow humans); and the paper's main result — GSP is not VCG, has no dominant-strategy equilibrium, and truth-telling is not an equilibrium of it. In the worked example the top advertiser pays $800 under GSP against $600 under VCG. Also held: quality score enters as a rescaling (bid × γ), and Google's estimated CTR is computed conditional on attaining first position.
google-ad-rank (T3, Google Ads Help). The first-party half, tiered T3 with the reason on the page: this is the seller describing its own auction, and it is promotional in places. Six factors, one composite Quality Score, no published weights.
search-ad-auction (concept) synthesizes the two and names what changed since 2007: quality became a gate rather than a multiplier (an Ad Rank threshold can exclude an ad at any bid), the auction became contextual (location, device, time in the rank, so a keyword has no single clearing price), and the formula stopped being published — a trend the 2006 authors already noted.
Folded into synthesis, not left as a note. The 1997 → 2002 arc is this spoke's own thesis, dated twenty years earlier: mechanism rewards gaming, industry invests in gaming, platform changes the mechanism. And one asymmetry worth holding against the GEO argument — the ad auction has a peer-reviewed analysis from outside the platform, which generative-engine-optimization does not. That is a difference in available evidence, not only in maturity.
Freshness. pew-ai-overviews-clicks and hyphenated-domains-seo regraded stable — a dated
field study and a dated news article; re-reading either URL returns the same text, so the flag could not
be cleared by anyone. ai-overviews stays volatile and past window: it tracks a live product and a
real re-verification is owed. Carried, not hidden.
[2026-08-14] quality | research pass: durability of the no-AI backlash
Growth edge 4 hunted. no-ai-search-share-trend (StatCounter series via Backlinko, T2)
supplies the multi-year global/US DuckDuckGo share numbers the edge asked for. Answer: neither
durable nor a spike — share rose 2021–22, fell 2023–24 below its 2021 starting point, rose again
2025, dipped 2026. The May 2026 post-overhaul spike duckduckgo-no-ai-search recorded sits
inside a series that has already reversed once. synthesis.md open question + growth edge 4
updated; index.md gains one Article entry. Entities: 0 created.
[2026-08-16] ingest | Kim & Pal, quality-weighted sponsored search auctions — via research pass
Hunted against growth edge 6's successor (the ad auction as operated, measured by anyone but
Google), promoted to the hub's ## Most wanted on 2026-08-12.
quality-score-auction-estimation written (T1, Management Science 71(12):10047–10066, 2025; read in full from the free cemmap working paper, 63 pp, extracted locally). Entities dongwoo-kim and pallavi-pal. search-ad-auction, google-ad-rank and gsp-auction-paper all gain the measurement they were missing.
The finding. The quality weight is a revenue dial, not only a relevance filter. Squashing the quality score (raising it to θ < 1) lifts auctioneer revenue 8.5%–24.3% at the expense of advertiser profit and consumer welfare, with the best θ differing by product category; tuning the precision of quality scores is worth another 0.4%–3.0%, so maximum accuracy is not revenue-maximizing. Yahoo!'s chief economist, quoted in the paper, calls it handicapping.
Why it only half-closes the edge, recorded on the page. Yahoo! Webscope data from 2008, five categories, and the estimate is of the auctioneer's trade-off. The advertiser-side number the industry repeats — a Quality Score of 1 costing ~400% more than a 5 — still traces to vendor blog posts with no published method, and this paper does not test it. Edge re-specified to ask for an advertiser-side estimate with a stated method, or a platform-era replication on Google.
synthesis gains The quality weight is a revenue dial, and someone finally turned it.
[2026-08-17] ingest | The 4-step roadmap to AI agents for Google Ads (Robert Simpkins, Search Engine Land)
Arrived via Telegram, routed by the hub (runner-up: ../agentic-tooling-wiki, declined — the subject is
running a paid-search account, not building agents; the MCP mechanism cross-links there).
google-ads-ai-agent-roadmap, T3: a contributor column with no data, whose authority is one
practitioner's year of building these systems.
Why it earned three pages. It is the first source here to argue against full PPC automation, so
groas finally has an opponent from inside the same trade — recorded as a contradiction in
synthesis.md, not resolved, since neither side offers a measurement. The asymmetry worth keeping is
that robert-simpkins sells the custom builds his own article tells most readers to skip.
New: paid-search-automation holds the delegation arc the article names in one sentence (Smart Bidding → broad match → Performance Max → agent layer) and the consequence the article does not draw — an advertiser's agent supervises an account whose bid, query and placement decisions Google already owns, so step 3 of the roadmap is really rebuilding the visibility Performance Max removed. agentic-adoption-ladder holds the four rungs (context → off-the-shelf → custom → people) and their load-bearing claim, that AI runs bad process faster rather than fixing it. robert-simpkins is a thin author node.
Updated: groas (the opposite position, plus frontmatter updated), search-engine-land — it is
owned by Semrush, disclosed at the foot of this article with two Semrush promotions inline. That
changes no tier but extends the spoke's vendor-incentive caveat from the byline to the masthead.
synthesis.md and index.md updated; the index also had groas listed as T4 against the page's own
T3 re-grade from 2026-08-04 — corrected.
[2026-08-17] ingest | The money layer — AI content monetization (4 sources, curator-directed research pass)
Curator asked the hub to "research monetization of LLM wiki web resources." Routed here over
../research-wiki (runner-up): the substance is how a web resource earns when AI takes the traffic,
which is this spoke's click-collapse thesis carried one step further, and crawl-budget plus
scaled-ai-content-crawl-economics already put crawl economics here. research-wiki keeps
llm-wiki — what the artifact is — and gets a cross-wiki link from ai-content-monetization.
Four sources, all T1, all first-party. cloudflare-agentic-internet-report (Cloudflare, July 2026) — 52% of crawler requests are AI training by June 2026, mixed-use bots >36%, human traffic to the most-crawled categories down up to 40% in a year, ~50 publisher–AI licensing deals in total. cloudflare-monetization-gateway (2026-07-01) — per-call charging for pages, datasets, APIs and MCP tools over x402, stablecoin settlement, waitlist. rsl-standard (rslstandard.org) — the license terms, including pay-per-inference and pay-per-training, and the license-server protocol behind them. wikimedia-enterprise (Foundation financial report, FY2024–25) — $8.3M revenue (+148%), 13 paying customers, $646K cumulative profit after four years, revenue capped at 30% of Foundation total.
Why a T1-only set matters here. This spoke's floor is trade press and its T4 share is the corpus's highest. A new cluster arriving on four first-party sources — a network operator's own telemetry, two product announcements, a nonprofit's audited financials — starts this corner above the spoke's average rather than below it. The caveat travels with it: Cloudflare measures the problem and sells the response, so its figures are first-party and unaudited.
New cluster, flagged rather than forced. Visibility was the whole subject until now; payment sits
beside it. ai-content-monetization is the organizing node (four billable events: per visit → per
fetch → per use → per access), with pay-per-crawl, x402, crawl-to-refer-ratio,
rsl-standard and wikimedia-enterprise under it. synthesis.md gains a dated section, one open
question (does declaring terms collect anything?) and growth edge 10 — nobody has published what an
independent site earns from any of these mechanisms, so the small-scale advice in
ai-content-monetization is explicitly marked as inference rather than sourced.
Entities: 2 new, 1 near-miss caught by the link check. New here: rsl-collective (NGO),
wikimedia-foundation (NGO). A third, cloudflare, was written and then deleted — the
canonical node already lives in ../cloud-wiki as a Wikipedia source summary, which is why
npm run entity-index reported nothing (it lists entity-typed nodes, and that one is typed
WebPage). Creating the duplicate broke 9 previously-resolving [[cloudflare]] links in
web-browsers-wiki and llm-inference-wiki by making the name ambiguous; check:wikilinks caught it
before the commit. The pages here link the cloud-wiki node cross-wiki, and that node gained a short
section recording its second role (crawler policy, pay-per-crawl, Radar telemetry).
openai and perplexity stay plain mentions in their home spokes.
[2026-08-22] quality | Cycle: one freshness regrade
x-frame-options-seo regraded volatile → stable. It records what a dated news article said on
its publication date; re-reading the URL returns the same text, which is the no-op case
../QUALITY.md grades stable. No content change.
[2026-08-29] ingest | Google — Expert Intelligence in Gemini Notebook
Routed here by the hub router from Telegram (runner-up: ../research-wiki; second ../llm-providers-wiki).
Model: claude-opus-5 · effort: high.
gemini-notebook-expert-intelligence (T1, Google's own launch post, published 2026-08-27, by
Steven Johnson and Will Houghteling). Expert Intelligence launches in Gemini
Notebook with more than 100,000 books from Bloomsbury, De Gruyter Brill, Johns Hopkins
University Press, Macmillan Publishers, O'Reilly Media and Penguin Random House, plus Featured
Notebooks curated with 15+ bestselling authors (Pinker, Pollan, Wallace linked). A US promo code,
EXPERTINTELLIGENCE, gives one free ebook while supplies last. Named as coming: third-party
subscriptions, business research reports, textbooks, and the same feature in the Gemini app and AI
Mode in Search.
Why it landed in this spoke rather than a product wiki. The rule inside it is a licensing mechanism, and it is one the money layer did not have: "for people to interact with a book in Gemini Notebook, they must own the book through Google Play Books," and a shared notebook prompts each collaborator to buy their own copy. The retail sale is the licence, and the licence does not travel with the document. ai-content-monetization sorted the money layer into four billing events — per visit, per fetch, per use, per access, all four billing the AI company. This is a fifth that bills the reader, and it is the only one that needs no bilateral negotiation. New concept page: per-copy-licensing.
What it does not do: state any publisher terms. Growth edge 10 (what a small publisher earns) is therefore unmoved — five mechanisms documented, still no figure — and a new edge 11 asks what a per-copy AI licence actually pays. Also unstated: whether the books are used for training, what "select ebooks" excludes, whether the author collaborations were paid, and the feature's geography.
A rename recorded from evidence rather than assertion. The post writes "Gemini Notebook" throughout while its own links point at notebooklm.google.com and notebook.google, and Wikipedia has Johnson working on NotebookLM at Google Labs since 2022. So NotebookLM is renamed, on the URLs and the byline — the post announces it nowhere. Recorded on both gemini-notebook-expert-intelligence and steven-johnson.
New pages: gemini-notebook-expert-intelligence, per-copy-licensing, steven-johnson
(same-as Wikipedia + Wikidata Q980046, both checked).
Updated: ai-content-monetization (fifth model), index.md, synthesis.md (new section under the
money layer; edges 10 and 11).
Entities deferred: Will Houghteling (a title and no biography), and the six launch publishers plus
the named authors — each appears once, in a launch list. Note the trap avoided: entity-index returned
john-oreilly (a Person in ../ui-frameworks-wiki) for "O'Reilly" and steven-g-johnson (the MIT
mathematician in ../mathematics-wiki) for "Steven Johnson". Neither is the same entity; both were
rejected by hand.
[2026-09-01] ingest | Google's link spam policy (quality cycle)
Growth edge 8 wanted "Google's own guidance plus one study of link-market effects." Half of it is cheap and was never taken: google-link-spam-policy (T1, first-party), the link-scheme section of the spam policies that google-search-essentials lists by name and does not detail.
The correction worth recording: Google does not forbid buying links. Its own sentence says such
links are not a violation "as long as they are qualified with a rel=\"nofollow\" or
rel=\"sponsored\" attribute value" — a disclosure rule, not a prohibition, which is the same shape
as the scaled-content policy (intent and value, not the tool). Also recorded: links coerced through a
Terms of Service are named as a scheme, and site reputation abuse is enforced differently inside the
EEA, where the pages are ranked on their own instead of drawing a manual action. That is the first
instance in this spoke of a regulator visibly moving Google's ranking rules.
Edge 8 half-closed; the market-effects half stays open and cannot be sourced from Google.
Updated synthesis.md (new section), index.md. No new entity pages — google is owned by
../llm-providers-wiki and linked. Budget: 0 of 8.
[2026-09-10] ingest | Serper — Google Search API
Routed in from the hub (Telegram). The page is a JS-heavy marketing site; fetched with curl and read as stripped text, including the pricing table and FAQ.
Source: serper, T3 — a vendor landing page. Latency (1–2s), the "up to 10× cheaper than
SerpAPI and Bright Data" comparison and the "1,000,000+ companies and developers" figure are all
first-party and unverified, and two of the three name no basis at all. freshness: volatile (a price
list); no published: — the page carries a 2026 copyright line and no publication date, so the
field is left off rather than guessed.
What is actually recorded: the ten endpoints (web, images, news, maps, places, videos, shopping,
Scholar, patents, autocomplete), the response shape (organic results with position, knowledgeGraph,
peopleAlsoAsk, relatedSearches), the no-caching rule, and the full price ladder — $50/50k through
$3,750/12.5M, i.e. $1.00 down to $0.30 per thousand queries, rate-limited 50–300 q/s, credits
expiring after six months.
Updated: seo-tools gains the layer under it — the suites sell at $129–$140/month, the raw rank data costs a fraction of a cent per query, so build-versus-buy for a new tool has moved and a suite's fee is mostly not data cost.
Synthesis: new section. The spoke's money layer (pay-per-crawl, rsl-standard, wikimedia-enterprise) is publishers charging machines to read their content, with standards and a collective. This is the same trade inverted — a third party selling machine access to Google's result pages, Google neither seller nor party. One half is negotiated in public; the other has a checkout page. Added an open question on the legal basis, since the vendor states none and the corpus holds no ruling, enforcement action or licence either way.
Runner-up logged at the hub: ../agentic-tooling-wiki. Serper's own footer integrates LangChain,
CrewAI, Haystack and Jan AI, and names "your next AI chatbot" first — agents buying rank data they
will never rank anything with. That spoke already holds the no-API-key alternative (ask-search), and
the seam is noted on the source page rather than duplicated.
No entity page for the vendor. The site names no company, no founders and no location — only the product. A node would be the product's name twice over. Revisit if a second source names the company.
[2026-09-16] ingest | Google ad tech remedies (Reuters, 2026-09-16)
Source: google-ad-tech-remedies-2026, T2, published: 2026-09-16, via Telegram (msg 2130),
routed by the hub. Reuters blocked the fetcher; wire copy held via syndication, remedies via AdExchanger
(T3), stated on the page. New entity leonie-brinkema (Person). Synthesis section The display stack
gets a remedy, and it is behavioural.
[2026-10-03] ingest | Return on Quality Improvements in SEM (Abou Nabout & Skiera 2012), via research pass
Source: return-on-quality-improvements-sem, T1 (peer-reviewed journal), published: 2012-08-01.
Closed access: read at abstract level from RePEc/IDEAS and Semantic Scholar; the data description is not
held, and the page says so. Half closes edge 6 from the advertiser's side (37% of quality gains lowered
profit); residue 6b is the size of the CPC effect. Linked from quality-score-auction-estimation and
search-ad-auction. No author pages: one paper each in this corpus, below the entity-evidence bar.
[2026-10-05] ingest | How To Build A Content Distribution System That Compounds (Ross Simmonds, SEJ)
Source: content-distribution-system, T4 (practitioner argument; stats are Foundation's own,
unreplicated). No publication date on the page, so no published:. Routed by the hub; no runner-up
spokes. No entity pages: author and agency appear once, below the evidence bar, and no identity URL was
checked. Synthesis section Distribution is the missing half of the AI-visibility advice.
[2026-10-11] lint | absence-claim drain (step 3a), 3 claims, all hold
customer-success-ai-readable-proof holds, with a note: the nearest test, arXiv 2606.17443, varies evidence-style wording in the prompt, not published proof on the open web. google-index-checker-use-cases and publishing-volume-hurts-seo hold. Search Engine Land (2026-06-18) says few case studies test pruning for AI visibility.