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SEO Content Automation

SEO at Scale β€” 1000 Pages in 30 Days

7 min read

On ScrabbleWordsFinder.com, we went from zero to 744 indexed pages in 8 weeks. Here's the strategy, the automation, and the technical decisions that made it possible β€” without sacrificing quality.

The Strategy: Topical Clusters

We didn't create 1,000 random pages. We built topical clusters β€” groups of related content that establish authority on a subject. Google rewards depth over breadth.

15+

Categories

1,000+

Pages

744

Indexed (8 weeks)

58%

Index Rate

Each category has a landing page (pillar content) that links to all posts in the cluster. Posts cross-link to each other. This creates a dense internal link graph that Google's crawler follows efficiently.

Content Generation Pipeline

🧩 Our Pipeline

1

Keyword research: Identify long-tail queries with search volume using topic analysis

2

AI content generation: Generate initial drafts using LLMs with topic-specific prompts

3

Visual enhancement: Apply FVT (Full Visual Treatment) β€” callouts, stat strips, card grids, comparison blocks

4

SEO infrastructure: Auto-inject JSON-LD schemas, meta tags, cross-links, and FAQ sections

5

Quality scoring: Automated line-count audit β€” pages below 180 lines are flagged for expansion

Technical SEO Essentials

Sub-100ms TTFB

Cloudflare Workers serve pages from the nearest edge location. No origin server latency.

Trailing slash consistency

trailingSlash: 'always' β€” no duplicate content from /page vs /page/.

XML Sitemap

Auto-generated with lastmod dates. Submitted to Google Search Console.

Canonical URLs

Every page has a self-referencing canonical. Prevents parameter-based duplicates.

Structured Data

Article + FAQPage + BreadcrumbList on every blog post. Validates in Rich Results Test.

Internal Linking

Automated cross-link injection: every new post gets 2 inbound links from related pages.

Automation Tools We Built

CHOP (Content Harvest & Optimise Pipeline)

Batch creates and optimises blog posts β€” generates content, applies visual treatment, injects schemas, and cross-links in one command.

SEO Health Check

Automated audit that validates every page against thresholds β€” title length, description length, schemas, content word count, and internal links.

Prettify (Full Visual Treatment)

Transforms plain text pages into rich visual content β€” adds stat strips, callout blocks, comparison cards, step lists, and cross-link panels.

BlogCrossLinks

Reusable component that auto-injects contextual links to related tools and pages at the top of every blog post, boosting internal link equity.

Build & Deploy Pipeline

Automated release train β€” build, migrate databases, deploy to staging, run tests, then promote to live. Three environments with isolated data.

add-sources-section.py

Injects a Sources & References block with hyperlinked citations before the author section.

check-orphaned-pages.mjs

Finds pages with zero inbound links (SEO orphans) so they can be connected to the link graph.

generate_seo_sql.py

Syncs Google Search Console data with a local seo_index table for tracking index status.

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