AI-generated content is often generic because it's based on existing information. To stand out and be cited by AI Answer Engines, brands must provide unique data, research, or expert knowledge that doesn't already exist. Generic AI content will make you sound like everyone else and hurt you long-term.
Instead of asking "what blog post should we write?", marketers should ask "what do buyers ask sales before they buy?" and "what objections come up repeatedly?". Answering these internal, expert-level questions creates unique content that AI engines are more likely to cite because competitors aren't addressing them.
To optimize for how AI language models skim content, structure your pages by providing the answer first. Follow with the explanation, then prove your point with data or examples, and finally, expand on the topic. This front-loads the key information, increasing the likelihood of being understood and cited by AI.
The key to getting cited by AI is originality. Instead of prompting AI to write entire articles, which leads to generic output, leverage it for specific tasks. Use it to find supporting statistics from trusted sources like Gartner, rewrite existing expert content for clarity, or help structure your unique ideas.
Authority for AEO is built on external validation, making PR relevant again. However, it's not about self-promotion. As shown in a Webflow experiment on Reddit, actively answering questions and solving real problems builds authentic authority that AI engines value, whereas simply posting promotional content does not.
A successful AEO strategy requires targeting different stages of user intent. Structure content around three prompt types: 1) Foundational (e.g., "What is a CRM?"), 2) Core (e.g., "What skills should an agency have?"), and 3) Must-Win (e.g., "Who is the best agency to hire?"). This framework aligns content with the buyer's journey.
The temptation to programmatically generate hundreds of pages for search is a trap. While technically possible, this content will be generic and lack the real examples, data, and trade-offs that signal authority. AI Answer Engines won't cite this content because it adds nothing new to the conversation.
From her experience as a client, Rebecca Busk identifies two key agency failures. First, agencies intentionally overcomplicate simple concepts to sound like experts and sell unneeded services. Second, they provide intense attention during the sales and build process, only to become unresponsive immediately after the project goes live.