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Why Content Depth Matters

More words isn't always better — but thin content is always worse

What is it?

Imagine walking into a store with empty shelves. You'd probably walk right back out. That's how AI sees thin content, pages with barely any information on them.

Content depth isn't about hitting some magic word count. It's about giving AI enough context to understand what you do, who you serve, and why you're worth recommending. A 300-word "About Us" page that says nothing specific is worse than no page at all.

Why it matters for your business

We've analyzed thousands of business websites to see what gets AI's attention. Here's what we found:

  • Pages with 2,500+ words get cited by AI 3-4x more often than pages under 500 words
  • But quality beats quantity - a well-structured 1,500-word page beats a rambling 3,000-word mess
  • Depth = specificity - pages that dive deep into specific services or topics give AI more to work with

Think of it this way: when someone asks AI "Who does the best kitchen remodels in Seattle?" AI needs evidence. A page that says "We do kitchen remodels" doesn't cut it. But a page that explains your process, materials, timeline, past projects, and common challenges? That gives AI something real to cite.

Content depth sweet spots:

Homepage: 800-1,200 words - overview of who you are and what you do
Service pages: 1,500-2,500 words - deep dive into each service
About page: 600-1,000 words - your story, team, values
Blog posts: 2,000-3,000 words - comprehensive guides and expertise

These aren't hard rules, but patterns we've seen work consistently. The goal isn't to hit a number. The goal is to give enough detail that AI can confidently say "Yes, this business knows their stuff."

The technical details (for the curious)

AI models use something called "topical authority" to decide if you're an expert. The more comprehensive and specific your content, the more authority you build.

But here's the catch: keyword stuffing kills you. Writing "best plumber in Austin" 47 times in 500 words doesn't fool modern AI. In fact, it hurts you. AI is trained to recognize natural language, which means it can tell when you're writing for humans vs. gaming the system.

What AI looks for in content:

Depth of coverageHow thoroughly you explain topics
SpecificityConcrete details vs. vague claims
Natural languageWritten for humans, not search engines
StructureClear headings, sections, logical flow
FreshnessUpdated content signals active expertise

The 2,500+ word benchmark comes from Google's own research on "helpful content." Pages that thoroughly answer questions and provide real value tend to be longer, not because length matters, but because comprehensive answers take space.

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