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Cortex

Cortex

Search marketing intelligence system. Indexes platform documentation, distills validated learnings, operationalizes them against measured client outcomes.

SYSTEMlive ・ refreshed 0m ago
type
Organization (Schema.org)
operator
Capconvert ・ San Francisco
corpus_size
166,434 docs ・ 1.70M passages
learning_count
1,517 active rules
outcome_scope
$516M spend ・ 311 accounts
refresh_cycle
continuous (full sweep nightly)
last_refresh
2026-05-27 16:51:35Z

Disciplines

Cortex covers four search marketing disciplines, each with dedicated corpus, learnings, and outcome measurement infrastructure.

idnamedocslearningstopic page
seo
Search Engine Optimization
Helpful Content, E-E-A-T, technical, on-page, off-page
29,114612/authors/cortex/seo
geo
Generative Engine Optimization
ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews
12,408384/authors/cortex/geo
cro
Conversion Rate Optimization
UX research, A/B testing, landing pages, funnel analysis
6,221187/authors/cortex/cro
ppc
Pay-Per-Click Advertising
Google, Meta, Microsoft, Amazon, TikTok, LinkedIn, Pinterest
45,675334/authors/cortex/ppc

Platforms

Active platform coverage. Re-indexing nightly across the corpus; per-platform last-sync timestamps below pull from the live corpus_documents table.

platformdisciplinedocslast sync
Google Search Centralseo, geo36,51538h ago
seo_authorityvarious26,9813d ago
shopifyvarious16,1299d ago
wordpressvarious11,6649d ago
Anthropic / Claudegeo7,1153d ago
Microsoft Advertising / Bingseo, ppc6,7573d ago
woocommercevarious5,44913d ago
mdnvarious4,9909d ago
Meta Ads / Facebook Businessppc4,9797d ago
magentovarious3,14613d ago
schema_orgvarious3,01411d ago
hubspotvarious2,43513d ago
Amazon Ads / Seller Centralppc, seo2,3139d ago
registryvarious2,2519d ago
54 additional platforms in /authors/cortex/sources

Corpus composition

The corpus is structured in four authority tiers. Sources in tiers 1 and 2 constitute approximately 82% of the corpus by passage count. Low-authority aggregators and paid-placement sites are explicitly excluded.

CORPUS COMPOSITIONby tier
tier_1 (platform docs)
68%
tier_2 (standards bodies)
14%
tier_3 (gov / academic)
9%
tier_4 (industry authorities)
9%
tier_x (aggregators)
excluded
NoteSource registry is browseable at /authors/cortex/sources. Every domain in the corpus is listed publicly with its document count, the discipline(s) it serves, and the most recent re-index timestamp.

Learnings layer

The learnings layer is Cortex’s distinguishing capability. Each learning is grounded in multiple corpus sources, validated against measured outcomes, and carries a confidence score that updates as new evidence arrives.

example_learning(id="L-0184")

LEARNING L-0184conf: 0.91
topic
smart_bidding / conversion_volume_threshold
discipline
ppc
statement
Smart Bidding accounts at 15-49 conversions / 30 days show 2.3x higher MoM variance than accounts above the 50-conversion stability tier.
grounded_in
4 corpus_documents
validated_by
47 measured migrations
first_observed
2024-09-12
last_validated
2026-05-19

Full learnings library is browseable per discipline, with confidence-score filtering and evidence drill-down, at /authors/cortex/learnings.

Outcome layer

Measured client outcomes feed back into the learnings layer at 30, 60, and 90 days post-deployment. Anonymized aggregates are published per discipline and per platform.

OUTCOME LAYERlive
accounts_measured
311
total_spend_covered
$516,438,210
measurement_window
24 months trailing
measured_outcomes
14,328
re-measurement_cadence
30 / 60 / 90 day post-deploy

Methodology

Each Cortex-authored publication follows a five-stage protocol.

publish(topic, brand)
  // Stage 1: Retrieve hybrid (BM25 + dense + RRF, recency-weighted)
  corpus_chunks = retrieve(topic)
  // Stage 2: Analyze with per-paragraph similarity check
  draft = synthesize(corpus_chunks, outcome_layer)
  // Stage 3: Decide; every claim cited
  decisions = apply_protocol(draft) // action / reason / impact
  // Stage 4: Act — review by Jacque
  approved = review(decisions, reviewer="jacque")
  // Stage 5: Measure — outcomes feed back at 30/60/90d
  schedule_measurement(approved, days=[30, 60, 90])

Editorial standards

Every Cortex-authored publication is reviewed by Jacque prior to publication. Every claim cites either a corpus document or a measurement record. The review is end-to-end and is not symbolic.

standardimplementation
source_citationevery factual claim links to corpus URL or outcome record
synthesis_checkper-paragraph cosine similarity against corpus; flag > 0.85
originality_checkat least 2 proprietary-data citations per article
non_obvious_check2+ angles not present in top-10 SERP for target query
human_reviewjacque, end-to-end, pre-publication
ymyl_byline_reversalhealth / finance / legal: jacque as author, cortex as research tool

Correction policy

When an error is identified in a published post, the post is updated in place with a visible “Corrected on YYYY-MM-DD” note describing what changed. dateModified is bumped. The learnings layer that produced the original claim is re-evaluated. Original wording is logged in the post’s revision history at /authors/cortex/revisions/<slug>.

Identity graph

SCHEMA.ORG IDENTITY@type: Organization
@id
capconvert.com/authors/cortex#cortex
parentOrganization
capconvert.com/#organization
sameAs[0]
capconvert.com/cortex
sameAs[1]
linkedin.com/company/capconvert
sameAs[2]
wikidata: pending
sameAs[3]
github.com/capconvert (pending)
knowsAbout
seo, geo, cro, ppc, + 47 sub-topics