Case Study — Running Faster With Wordpress

Case studies work best when they are specific. This one is — down to the templates, the schema fixes, and the numbers on both sides of the change.

The Problem

A common WordPress SEO problem: strong content, thin distribution, and a technical layer that quietly leaked authority. The audit surfaced the exact silos where the leak was worst.

The Fixes

The team ran the Detect → Explain → Fix → Approve → Apply loop with change budgets set conservatively. Nothing that shipped was more aggressive than the WordPress core would tolerate.

• Canonical repair on paginated archives.
• JSON-LD Article authors filled in for E-E-A-T.
• Silo-aware internal linking on the two highest-value clusters.

The Result

Ninety days out, impressions and clicks moved together on the target silos, with no measurable regression on non-target templates. The report is the boring kind of win — and that is the point.

<article>
  <h1>Case Study — Running Faster With Wordpress</h1>
  <p class="tldr"><strong>TL;DR — </strong>Short, self-contained answer in 1–2 sentences.</p>
  <section aria-label="Key takeaway" class="key-takeaway">
    <p>The single most cite-worthy claim on the page.</p>
  </section>
</article>

Semantic H1 + structured summary — one canonical passage per page

• Install WBP Omni SEO Pro on staging and run the scanner against one silo.
• Approve the first 10 low-risk fixes (missing alt text, canonical, breadcrumbs, schema).
• Roll one fix back on purpose to feel the safety net before you scale.
• Verify with Bot Tracker that GPTBot, ClaudeBot and PerplexityBot have re-crawled the fixed URLs.
• Promote the workflow to production and schedule the weekly per-silo run.
• Publish a short teardown so your team can replicate the win on the next silo.

Inside WBP Omni SEO Pro: SEO Agents & Automations

Why this matters for "Case Study — Running Faster With Wordpress": Manual SEO does not scale past a few hundred URLs; agentic SEO turns the loop into a service level you can operate.

Common mistakes to avoid

Paired module: Content Tools & AI Generator

Brief builder, outline generator, section rewriter, FAQ generator and TL;DR generator — grounded in your Fact Bank and Brand Voice. Generic AI content is a liability; grounded AI content is a compounding asset.

• Content → New brief → Pick target intent and cluster
• Generate outline; edit before drafting
• Draft section by section, citing Fact Bank entries
• Score against SEO and Citation-Readiness before publish

Real-world examples

Three shapes this problem takes in the wild — and what the fix looked like when a team applied the Case Studies playbook end-to-end.

The workflow at a glance

Final thoughts

The playbook above is the same one WBP Omni SEO Pro runs every night on production sites — Detect, Explain, Fix, Approve, Apply, Track, Rollback. Ship the workflow once and case studies becomes a background process, not a fire drill.