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Who’s Focused on GEO by Company Size

Info

  • Source: NP Digital

  • Date: June 2025

  • Category: AI & GEO Optimization

  • Study Methodology: Based on a survey of 350 marketing leaders across SMB, mid-market, and enterprise companies.

Despite the rise of AI search, most companies still haven’t adapted. This chart shows how adoption of Generative Engine Optimization (GEO) varies by company size, and where the early advantage lies.

Essential Statistics

  • Only 8% of small businesses are focused on GEO.
  • 21% of mid-sized companies say they’re actively optimizing for generative search.
  • 16% of enterprises report having a GEO strategy in place.
  • Small businesses lag behind, despite typically being more agile.
  • Mid-market is leading early GEO adoption.

Key Takeaways

  • GEO adoption is still low across the board.
  • Mid-sized companies are ahead of both small and enterprise brands.
  • Enterprise brands have the resources, but aren’t moving fast.
  • Small businesses are missing an opportunity to move early. There’s still a wide-open chance to build AI-first visibility.

Actionable Insights

  • If you’re a small business, move fast. Only 8% of your peers are focused on GEO, which gives you a first-mover advantage in AI-driven search.
  • Mid-market companies should double down. With 21% already adopting GEO, competition is rising; now’s the time to scale your strategy.
  • Enterprise brands need to close the execution gap. 16% adoption shows awareness, but there’s room to lead if internal friction is removed.
  • Structure content for AI Overviews with answer-forward copy, semantic markup, and concise formatting. GEO isn’t just SEO with a new name.
  • Monitor how your brand appears in AI results across platforms like Google SGE and ChatGPT. This is your new search shelf.
  • Prioritize product pages, landing pages, and blog content for GEO optimization. These surfaces are most likely to be pulled into generative results.
  • Educate stakeholders that GEO is a strategic layer, not a one-off project. It requires ongoing updates and LLM-specific testing.

Most companies aren’t optimizing for AI yet. That’s your opportunity to get ahead while everyone else plays catch-up. – Neil Patel

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