I’m an SEO specialist and I’ve noticed a shift toward search engines becoming "answer engines." How should we adapt our AI Agents & Automation strategy to ensure our content is being picked up by other agents (like Perplexity or Gemini) rather than just traditional Google crawlers? Does this change how we think about Schema and structured data?
3 answers
We are entering the era of AIO (AI Optimization). Traditional SEO was about keywords, but optimizing for agents is about "Entities" and "Context." When you use AI Agents & Automation to crawl your own site, you need to ensure your Schema markup is flawlessly detailed because agents use that structured data to build their internal knowledge graphs. If an agent can’t clearly identify your product’s specifications through your JSON-LD, it likely won't recommend you as the "best" answer. It's less about tricking an algorithm and more about being the most legible source of truth.
Do you think long-form blog posts will become obsolete if agents just summarize everything?
Focus on "Zero-click" optimization. If the agent answers the user using your data, your brand authority still grows.
Spot on, Cynthia. Brand mentions within AI responses are the new "Position Zero" in the search world.
Summarization is exactly why deep, original research is more valuable than ever, Gregory. Agents can summarize facts, but they can't replicate original data or "thought leadership." If your post provides a unique case study, the agent will cite you as the primary source, driving high-quality traffic to your site.