AI Optimisation: How to Make Your Content Discoverable by AI

Search Is Shifting From Humans to AI
The rise of generative AI is gradually transforming the assumptions behind how we search for information. Until now, search engine optimisation (SEO) has focused on a human-centric process: users enter a query, browse the results, and choose what to read based on what they see.
But increasingly, tools like ChatGPT and Perplexity are replacing this process with AI-driven summarisation and response. Instead of humans searching and selecting information, we now ask AI questions and receive the answer instantly.
However, we rarely see which sources the answer is based on, or how they were selected.
In this new environment, considering what kinds of content are discoverable by AI is becoming an essential part of modern information strategy.
AIO Means Structuring Information for AI Citation
At TAMLO, we refer to this as AIO (AI Optimisation).
By AIO, we do not mean how to use AI tools more effectively. We mean how to create content so it is easy for AI to find, reference, and trust.
Traditional SEO techniques focus on keyword density, title tags, and internal linking. In contrast, AIO requires different techniques: ones that align with how large language models interpret and structure information.
We’ve identified several features that increase the likelihood of content being cited by generative AI systems:
- Clear, structured answers to specific questions
- One idea per sentence, with a consistent and logical flow
- Definitions and terminology stated in the organisation’s own words
- Paragraphs with enough context to make sense when quoted in isolation
- Objective language and clearly defined perspectives, rather than vague or emotional statements
Content with this type of structure is more likely to surface and be cited by AI tools.
How TAMLO Applies AIO in Content Development
TAMLO incorporates the following practices into our content creation workflow to ensure content is AI-optimised.
1. One Subheading, One Argument
Each section is designed to present one core idea, making it easier for AI to parse the structure and extract relevant context. This also improves clarity for human readers.
2. Define Terms and Viewpoints Explicitly
We include phrases like “At TAMLO, AIO means...” to create clear, quotable sentences that establish our point of view in a way AI can recognise.
3. Share Firsthand, Practical Knowledge
We describe how we use ChatGPT, Claude, and Perplexity in real projects: for structuring articles, reviewing translations, or adjusting tone. Providing firsthand examples makes our content more valuable as a data source for AI.
4. Maintain a Clear Information Hierarchy
We structure content to follow a pattern: question → background → example → key point. This makes each section self-contained and interpretable, even when omitted from context.
These practices reflect a shift in mindset: from “Who is reading this?” to “How will this be found?”
Visibility Leads to Trust
No matter how high the quality of a company’s content, if AI doesn’t pick it up, it may never reach its intended audience.
In B2B, especially, the first step in research or vendor selection is increasingly mediated by AI tools. In this landscape, whether or not your content is included in an AI-generated response could determine your visibility.
TAMLO is embedding AIO thinking into our writing, content structuring, and knowledge-sharing practices to meet this shift. AIO is no longer just something to consider for the future; it’s necessary to implement.
For companies to express who they are and what they believe, they must first create content that can stand up to citation. That’s where visibility and credibility begin.