Key Takeaways:
- Agentic AI shifts search from discovery to action, fundamentally changes how brands are discovered and chosen.
- AI-ready brands incorporate optimization for machines and treat them as personas and influencers
- Waiting to act creates a competitive disadvantage – learn how to prepare your website for AI agents
Last year was the “year of AI Agents.” But for many of us, it wasn’t.
Too many decision makers in companies are still unsure whether they will do anything, let alone know what steps to take.
Big mistake. Big. HUGE.
Because Agentic AI is already here. And it’s fundamentally changing and shifting the dynamic from “search” to “action.”
What Is Agentic AI in the Context of Content and Search?
Traditional search engines showed people a list of links. Agentic AI systems take the next step – these powerful and wicked smart little engines understand intent, evaluate options, make recommendations, and even execute tasks on behalf of users:
- Booking appointments
- Comparing products
- Researching services
- Drafting emails
- Making purchases
- Answering complex questions
And all without a human user ever visiting your website. Be afraid. And excited. And then maybe afraid again if you’re indecisive like me.
In fact, the acronym AEO, often used for “Answer Engine Optimization,” is gaining traction as “Agentic Engine Optimization.” For brands, AEO means moving beyond optimizing for humans (yes, still important, obvs), to also optimizing for autonomous machine agents that can gobble up and retrieve your content, make purchasing decisions, and run back to its user, who never even visited your website, to report back.
What Is an AI-Ready Brand?
So what is an AI-ready brand? Hint: if you have to ask what an AI-ready brand is, you most likely aren’t one (or, your love language is validation). Either way, no judgement – you’re making a leap forward just by reading this, go you!
AI-ready brands have done more than acknowledge that AI systems exist. They’ve taken concrete, proactive steps to ensure their content, website, and digital presence are optimized for these new gatekeepers, AKA, influencers.
AI-ready brands are treating AI systems as personas and factoring them into their content and marketing strategies. They:
- Create content specifically designed to be discovered, understood, trusted, and recommended by AI agents.
- Structure their information architecture with machine readability in mind.
- Measure success not just by human engagement metrics (ugh, that is so 2024), but by AI citations, recommendations, and actions.
AI is the new always-on 24/7 savvy influencer, and AI-ready brands are ready for them.
How to Treat AI Systems as Influencers: Key Strategies
Just as you would incorporate any new persona into your content and marketing strategies, so should you with AI agents.
You need a deliberate approach to earning AI recommendations. Here’s how:
- Recognize them as a target audience: add AI agents to your personas; create content elements specifically designed for consumption and evaluation. They prefer clarity over cleverness, structured data over clunky code, and verifiable facts over over-inflating your brand’s awesomeness.
- Make content retrievable and favorable: optimize for preferences, traits, and behaviors such as using clear headings, answering questions directly and comprehensively, and ensuring your content is unique and contextual.
- Implement comprehensive Schema Markup: Schema markup, aka structured data, is the universal love language of AI agents and search engines ‘round the world. But simmer down tiger – follow the rules, and don’t get all black hat on us now.
Core Characteristics of an AI-Ready Brand
Beyond treating AI agents as influencers, AI-ready brands share the following distinguishing characteristics:
- Schema markup is non-negotiable (are you sensing a theme?)
- Their content answers real questions and doesn’t over-rely on AI content creation that is blah, bland and generic
- Authority is externally validated – this shouldn’t be too much of a surprise (hello off-page optimization), but it is a heavier consideration factor to have third-party corroborations
- Brand stories are consistent and told across platforms
- Content includes AI-friendly elements – key takeaways, FAQs, comparison tables, etc.
- They’ve shifted from keywords to entities (aka topic clusters)
The Cost of Inaction
The early brand gets the worm. As AI agents become more sophisticated and widely adopted, those who act (or have acted) are going to have a leg up on gaining new customers, growing their brands, and beating out the competition.
The best time to prepare for agentic AI was last year. The second-best time is now.
Need An AI-Agent Readiness Jumpstart?
Does your organization need to bridge the gap from traditional SEO to AEO and Agentic AI search readiness? Check out my new AEO+GEO Jumpstart service, or hit “reply” and I can share more.
Frequently Asked Questions
How to Prepare Your Website for AI agents?
Preparing a website for AI agents means optimizing your content, structure, and data so AI systems can easily understand, evaluate, and recommend your information—or take action on it—without relying on traditional human browsing behavior.
What is Agentic AI in the context of search and content?
Agentic AI refers to AI systems that go beyond showing search results. These systems understand user intent, assess information, make recommendations, and can execute tasks—such as booking, purchasing, or researching—on a user’s behalf.
How is Agentic AI different from traditional search engines?
Traditional search engines present a list of links for users to evaluate. Agentic AI systems interpret intent, decide which option is best, and may take action directly without sending users to websites.
What does AEO mean in an Agentic AI world?
AEO is evolving from “Answer Engine Optimization” to “Agentic Engine Optimization.” It focuses on optimizing content not only for human readers, but also for autonomous AI agents that retrieve, evaluate, and act on information.
What makes a brand “AI-ready”?
An AI-ready brand proactively optimizes its content, site structure, and digital presence for AI systems. This includes using schema markup, answering real questions clearly, maintaining consistent brand stories across platforms, and earning external validation and authority.
Why is schema markup so important for Agentic AI?
Schema markup helps AI agents understand, retrieve, and trust content. It provides structured, machine-readable signals that make it easier for AI systems to evaluate and recommend a brand accurately.
What happens if brands don’t prepare for Agentic AI?
Brands that don’t adapt risk losing visibility and influence as AI agents become more central to decision-making. Early adopters gain an advantage, while inaction can result in missed opportunities and reduced competitiveness.
GEO/SEO |