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Methodology

The Full Stack CMO SEO + GEO audit methodology.

The Full Stack CMO methodology scores a public marketing surface across six dimensions: on-page SEO, technical SEO, performance, content depth, GEO readiness, and authority. The framework is designed to answer a practical question: what is preventing discoverability right now, and what should the team fix first?

Published and updated: 2026-04-03

The six dimensions we score

Dimension What we inspect Why it matters
On-page SEO Title tags, meta descriptions, H1 structure, canonicals, and schema markup Search engines need a clear page-level signal before content can rank consistently.
Technical SEO Robots directives, sitemap coverage, redirects, status codes, and index controls Broken crawl files or false `200` responses waste crawl budget and create duplicate surfaces.
Performance Payload size, caching, compression, and page-delivery signals Heavy or poorly cached pages reduce usability and often mask structural inefficiency.
Content depth Intent coverage, supporting pages, internal links, and proof of expertise Thin sites struggle to rank for anything beyond pure branded navigation.
GEO readiness Answer-first structure, evidence density, standalone sections, and citeable assets Answer engines cite a narrow set of sources, so content must be easy to quote and verify.
Authority Brand footprint, competitor context, and off-site trust signals Discoverability is reinforced by the wider web, not just by on-site copy.

The evidence model behind the audit

Traditional SEO and generative search now overlap. A page needs a clean crawl layer, but it also needs sections that answer questions directly and include enough context to stand alone when extracted. That is why the methodology gives weight to answer-first intros, named evidence, structured comparisons, and pages that can serve as original assets instead of promotional copy.

Search engine baseline

The crawl layer is non-negotiable. Search engines still need accessible pages, correct status codes, usable sitemaps, and explicit indexation controls before content can perform at all.

Generative engine baseline

Answer engines reward pages that make a direct claim, support it with evidence, and package each section so it can be cited without needing the rest of the page for context.

Working rule: the best-performing public pages do not just contain keywords. They explain one question clearly, support the answer, and link to adjacent pages that deepen trust.

Source base and references

The framework is informed by Google Search documentation for crawl and index controls, plus published research on generative engine optimization. The links below are the source base used to anchor the methodology.

  1. Google Search Central: Robots refresher
  2. Google Search Central: Block indexing with noindex
  3. Google Search Central: Build and submit a sitemap
  4. Princeton University: GEO - Generative Engine Optimization

How to use this methodology inside the workspace

  • Run the first audit to establish the current crawl layer and identify structural blockers.
  • Use the score breakdown to separate technical debt from content and authority work.
  • Fix the crawl layer first, then publish supporting pages, then strengthen evidence assets and authority.
  • Track the same prompts and search surfaces every week so the team can see movement, not just one-off findings.
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