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AI SEO Content Strategy: How to Rank on Google in 2026

Google's algorithm has changed. AI content can rank if you do it right. Here's the strategy that works.

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The State of AI Content and SEO

Google doesn't penalise AI-generated content. It penalises low-quality content. The distinction matters. AI content that's generic, thin, and adds nothing ranks nowhere. AI content that's specific, useful, and well-structured ranks just fine.

The Strategy

Step 1: Keyword Research

Use tools like Ahrefs, Semrush, or Ubersuggest to find keywords with decent search volume and manageable competition. Focus on long-tail, specific queries. "Best AI tools" is too competitive. "Best AI tools for estate agents UK" is winnable.

Step 2: Search Intent Analysis

For each keyword, Google it. Look at what's ranking. What format? What depth? What questions do they answer? Your content needs to be at least as good as what's already on page one.

Step 3: Content Creation

Use Claude to draft the content. Give it the keyword, the search intent analysis, the target word count, and your brand voice guidelines. Ask for specific, actionable content. Not generic overviews.

Step 4: Add What AI Can't

Original insights from your experience. Real examples from your work. Data you've collected. Opinions backed by evidence. This is what makes AI content rank: the human layer on top.

Step 5: Optimise

Title tag, meta description, header structure, internal links, and image alt text. Claude can help with all of this, but review each element.

Step 6: Publish and Promote

Post on your blog. Share on social media. Send to your email list. Build backlinks through outreach. Content that nobody sees doesn't rank.

The Volume Play

Consistency beats perfection. Publishing 2-4 high-quality, targeted posts per week will build your organic traffic faster than one "perfect" post per month.

Content That Ranks and Converts

OrcaScale builds content systems for SMEs. AI-assisted writing, SEO optimisation, and publishing workflows, all automated.

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