This video documents how AuteurGraph went from 0 to 433,000 pages discovered in Google Search Console — without a backlink campaign, paid traffic, or even much promotion.

I share this not as a brag, but as a case study in how structure-first SEO can outperform even high-budget content strategies when done right.

Start with the data model

AuteurGraph isn’t just a blog — it’s a network of content:

  • Directors link to films

  • Films link to genres and movements

  • Each node becomes a page, each relationship a discovery path

This web of content lets search engines crawl and connect naturally, which is why indexation exploded once the initial sitemaps went live.

Sitemaps, internal links, and crawl paths

I broke the site into:

  • /director/ pages

  • /film/ pages

  • /movement/, /genre/, /decade/

Each has its own sitemap and canonical structure. The site’s internal linking ensures that no page is ever more than 3 clicks deep, and almost every page has 10+ inbound links from relevant content.

In the video, I show the crawl reports and how I trimmed bloat while expanding meaningful content.

Scale without duplicate content

Using TMDb data might seem like a shortcut, but I wrap every page in:

  • Original intro paragraphs

  • Curated lists (e.g. “Best Ozu Films”)

  • Embedded visuals

  • API metadata for structure

It’s what turns a technical database into an actual destination.

What’s your approach to SEO: scaling fast, writing slowly — or combining both?