What is the difference between AI Agents and LLMs?

LLMs (Large Language Models) like ChatGPT and Gemini are trained on static knowledge and focus on pattern recognition. AI Agents are dynamic, goal-oriented systems that actively search the web, connect multiple data sources, and take actions in real-time to complete tasks. While LLMs answer questions based on their training data, AI Agents gather current information from the internet to accomplish specific objectives.

What are AIAO and GEO agencies?

AIAO (AI Agent Optimization) and GEO (Generative Engine Optimization) agencies are a new category of digital marketing agencies that emerged in 2026. They specialize in optimizing content specifically for AI Agents and generative AI systems, going beyond traditional SEO to ensure content is discoverable and properly understood by AI systems that actively crawl and interpret web content.

What is Entity Linking in Schema markup?

Entity Linking in Schema markup is the process of connecting different mentions of the same person, organization, or concept across your website and the broader web. For example, it proves to AI systems that the Elizabeth Gearhart mentioned in your podcast is the same Elizabeth Gearhart on your website. This is accomplished using @id references in structured data to create a knowledge graph that AI Agents can understand and trust.

What is an llms.txt file?

An llms.txt file is a token-optimized file that provides AI Agents with a concise summary of your website's content and structure. Similar to how robots.txt guides web crawlers, llms.txt helps AI Agents understand your site more efficiently, saving computational resources (brain power) and making it more likely that the agent will choose your site over a competitor's when gathering information.

What is Deep Think optimization?

Deep Think optimization is a strategy that optimizes content for the advanced reasoning capabilities of next-generation AI models like Gemini 3 and GPT-5. Rather than just providing keywords and basic metadata, Deep Think optimization structures content to support complex reasoning, multi-step analysis, and contextual understanding that these advanced AI systems use when processing information.

AI Agents vs LLMs: Do You Need Different Optimization?

I gave a presentation at Podfest about how to optimize your content, especially podcast content, for LLM search. At Podfest I learned about Manus, an AI agent that's pretty good at helping with tasks and that I've been using.

Using Manus made me wonder: do we have to optimize our content differently for AI Agents than we do for LLMs? When Manus put together a presentation for me, it pulled data from the internet so I know it's 'crawling' websites like Google and the LLMs do, but does it act the same way?

The answer is no, AI Agents don't recognize content exactly the same way that LLMs do.

Understanding llms.txt Files

One key optimization tool that emerged in 2026 is the llms.txt file that is put on the root directory of your website. Here's how different AI systems use it:

File	Primary User	Use Case
llms.txt	LLMs (ChatGPT, Gemini, Perplexity)	Quick discovery and accurate citations in a chat window.
llms-full.txt	Agents (Claude Computer Use, Gemini Agents, AI Dev Tools)	Deep reasoning, multi-step tasks, and offline ingestion.

A New Category of Agency Has Emerged

The table is the tip of the iceberg for optimizations and I'm not in the business of building websites, so I asked Gemini if I could find a company to do this for me. This is what it said:

In 2026, a new category of agency has emerged specifically for this, often called AIAO Agencies (AI Agent Optimization) or GEO Agencies (Generative Engine Optimization).

What to Ask a Company Before Hiring Them

If you interview an agency to do this, ask these three questions to see if they are actually 2026-ready:

1. "Do you provide a 'Deep Think' optimization strategy?"
This ensures they are optimizing for the reasoning capabilities of Gemini 3 and GPT-5.
2. "How do you handle 'Entity Linking' in our Schema markup?"
This is how they prove to the AI that you are the same Elizabeth Gearhart mentioned in your podcast and on your site.
3. "Can you set up an llms.txt file that is token-optimized?"
This saves the agent "brain power," making it more likely to choose your site over a competitor's.

The Bottom Line

AI Agents are fundamentally different from LLMs in how they discover, process, and utilize content. While LLMs rely on their training data, AI Agents actively search the web in real-time, making proper optimization crucial for visibility.

If you're serious about being discovered by AI Agents in 2026 and beyond, it's worth investing in proper AIAO/GEO optimization—whether you do it yourself or hire an agency that truly understands the difference.

Want to learn more about optimizing your podcast content for AI discovery?

I speak regularly about podcast marketing, AI optimization, and content strategy. Check out my speaking topics and book me for your next event.

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