Cortex Capconvert

Cortex is Capconvert’s digital marketing decision engine, an AI-run and expert-managed system that monitors, analyzes, and ships optimizations across SEO, GEO, CRO, and PPC on 10 marketing platforms. It runs 36 always-on Sentries that each score one visibility or performance signal, then composes recommendations that must cite a primary source from a 1.4M passage corpus of platform documentation before they ship. It is built for brands and marketing teams that would otherwise retain several specialist agencies to cover paid, organic, conversion, and AI search separately.

⚡ Top 5 Cortex Capconvert Features:

1. 36 Always-On Sentries: Sentries are individual auditors that each monitor one signal continuously and score it against the platform’s own documented best practices. The public directory covers crawler access for Googlebot, Bingbot, Applebot, GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider, and Amazonbot, Core Web Vitals including LCP, INP, CLS, TTFB, FCP, TBT, Speed Index, and TTI, ad-account health for Google Ads, Bing Ads, Meta Ads, Amazon Ads, and ChatGPT Ads, plus schema and llms.txt compliance. Each Sentry carries its own rule count, for example 12 rules for Googlebot, 14 for Product Schema, and 13 for Google Ads.
2. Action, Reason, Impact Decision Protocol: Every recommendation arrives in three parts: the action proposed, the citation that justifies it, and the projected impact of shipping it. The site’s worked example switches a Performance Max campaign from Target ROAS to Max Conversion Value because the account logged 18 conversions in the last 30 days against Google’s 30-in-30 rule, with links to Google’s own Smart Bidding documentation attached. The stated rule is no source, no claim, which makes each decision reviewable rather than a black-box suggestion.
3. Primary-Source Corpus and Retrieval Stack: Before generating a recommendation, Cortex retrieves from a corpus of canonical platform documentation covering Google Ads, Meta Ads, TikTok, Amazon, Microsoft, LinkedIn, Shopify, WooCommerce, Klaviyo, GA4, Search Console, Schema.org, Search Central, the Quality Rater Guidelines, web.dev, Lighthouse, the llms.txt spec, and AI bot documentation from OpenAI and Anthropic. The site describes the pipeline as hybrid BM25 plus halfvec 3072 cosine search, fused with reciprocal rank fusion and reranked with Cohere rerank-v3.5, across 142,660 documents and 68 platforms at 38ms p50 retrieval, with sources tier-weighted so official documentation outranks partner and curated material.
4. Four Disciplines Across 10 Platforms: Cortex covers SEO for search engine keyword visibility, GEO for visibility inside AI channels, CRO for site conversion rate and volume, and PPC for paid search and social. The platform list spans Google Ads, Amazon Ads, Bing Ads, Meta Ads, TikTok, Klaviyo, and getting found on ChatGPT, Gemini, Perplexity, and Claude, so paid, organic, email, and AI search sit under one engine instead of separate retainers.
5. Expert Sign-Off and Institutional Memory: The pipeline runs in five stages: Retrieval, Analysis, Decision Core, Action, and Memory. Cortex projects the expected outcome of each optimization then measures the actual result against that projection, storing every decision and winning pattern so account knowledge survives staff changes and cross-account patterns can be applied elsewhere. Capconvert experts manage the decision-making and sign off on every high-stakes change before it goes live.

⚡ Top 5 Cortex Capconvert Use Cases:

1. Consolidating Multiple Agency Retainers: A brand paying separate agencies for paid media, SEO, CRO, and AI search can move all four disciplines into one engagement. Capconvert positions this directly against the linear headcount model of a traditional agency, noting that most clients replace multiple specialist agencies with a single Cortex engagement while the monitoring runs 24/7 rather than whenever a human opens a dashboard.
2. AI Search and Citation Visibility Audits: Marketing teams that want to be cited by ChatGPT, Perplexity, Claude, and Gemini use the GEO Sentries to check whether those engines can actually reach the site. The Sentries test GPTBot and OAI-SearchBot accessibility separately, cover the three-bot ClaudeBot fleet, flag Cloudflare AI Audit bundled blocking, check Google-Extended posture for Gemini grounding, and grade llms.txt against the 12 rules in the spec.
3. Paid Account Health Monitoring: Performance marketers running Google, Bing, Meta, Amazon, or ChatGPT Ads get continuous scoring on the specific failure modes that quietly cost money: Smart Bidding data sufficiency, learning-phase status, budget pacing and utilization, Quality Score, impression share lost, RSA asset coverage, PMax minimum spend, Meta frequency and audience overlap, Pixel and CAPI data sufficiency, and Amazon ACoS and in-stock status.
4. Technical SEO and Core Web Vitals Remediation: Site owners and developers use the performance Sentries to track mobile and desktop p75 against Google’s thresholds of 2.5s LCP, 200ms INP, 0.1 CLS, 800ms TTFB, and 1.8s FCP, with each Sentry breaking the score into rules such as render-blocking resources, third-party JavaScript share, image preload and fetchpriority, font-display posture, and text compression. The crawler Sentries cover robots.txt, noindex, canonical match, sitemap freshness, and coverage errors alongside them.
5. Ecommerce and Marketplace Visibility: Online retailers combine the Amazon Ads Sentry, which covers Sponsored Products delivery, dynamic bidding, A+ Content, listing completeness, review thresholds, and Brand Registry, with the Product Schema Sentry for Merchant Listing and Rufus eligibility. Because the corpus includes Shopify, WooCommerce, BigCommerce, Merchant Center, and Klaviyo documentation, recommendations for storefront and lifecycle work cite the same primary sources.