Search as infrastructure.
Audit of search infrastructure for portals with 100k+ URLs. Semantic re-architecture, LLM-friendly content programme, proprietary monitoring pipeline.
Search as infrastructure, not as a tactic.
Most agencies treat SEO as a checklist. We treat it as infrastructure. the same way a bank treats its core banking system. The Caporal SEO programme was built over 12 years operating portals with 100k+ URLs for banks, FMCG and heavy industry. We don't deliver keyword reports. We deliver semantic architecture that makes your portal a reference source for LLMs, search engines and users simultaneously.
What we deliver
Enterprise technical audit
Full infrastructure crawl with signal analysis: canonical, indexation, Core Web Vitals, structured data, hreflang and sitemaps. Executive report with impact prioritization.
Semantic architecture & entity model
Mapping of entities, search intent and topical clusters for the vertical. URL structure, semantic siloing and an authority-building plan by theme.
Plano editorial LLM-friendly 12m
Content calendar guided by intent and competitive gaps. Briefings optimized for next-generation search engines that process semantics, not only keywords.
Live monitoring pipeline
Dashboards connected to GSC, Ahrefs and proprietary crawl data. Automatic alerts for ranking anomalies, crawl budget issues and SERP changes relevant to the vertical.
Auditable executive reports
Biweekly reporting with business metrics such as attributed organic revenue and organic CPA, not just traffic. Available for board and investor due diligence.
How we operate
Signal audit (weeks 1-2)
Full property crawl, server log analysis, index coverage mapping and Core Web Vitals diagnosis. Deliverable: prioritized technical report.
Semantic modeling (weeks 3-4)
Build the vertical entity graph, analyze intent by cluster and identify gaps against direct competitors. Deliverable: approved semantic architecture.
Technical roadmap (weeks 5-6)
Prioritization of technical implementations with impact estimates, deployment windows and owner by action. Approval with the client tech team.
Editorial program (weeks 7-8)
12-month calendar, content briefings, optimized templates and publishing workflow with senior Caporal review. Briefings can be used by internal teams or partner agencies.
Execution & continuous optimization (months 3-12)
Supported technical implementation, content production or review, ranking monitoring and weekly hypothesis adjustments. Quarterly executive review cycle.
Reporting & governance (monthly)
Live dashboard updated every 4 hours, monthly report with organic revenue attribution and quarterly progress audit against baseline.
Frequently asked questions
How long does it take to see organic results?
In enterprise portals, the first signs of technical improvement appear between 6 and 12 weeks. Relevant organic traffic growth is noticeable between 3 and 6 months. The +185% benchmark is measured at 9 months. based on contracts where technical implementation and editorial programme are executed in parallel from the start.
Do you work with multi-language portals?
Yes. All our programmes support multilingual architectures. PT, EN and ES by default. This includes correct hreflang structure, entity modelling per market, and separate editorial plans per locale.
Does the client's internal team need to execute or do you handle everything?
Flexible. We offer everything from full-service (audit, strategy and 100% Caporal execution) to advisory (strategy and governance, execution by internal team). The most common in enterprise is a hybrid model.
How do board reports work?
We deliver two formats: live dashboard (Looker/Hex, updated every 4h) for the operational team, and monthly executive report in PDF with business metrics for C-suite and board.
Do you use AI tools for content generation?
We use AI as an acceleration layer, not as a substitute for editorial quality. Briefings are generated with support from Starkstack agents, but all content goes through senior review before publication. Our method ensures the output is LLM-friendly, meaning it is structured to be referenced by language models beyond traditional Google search.