Here’s a hot take for you:
If you think you have a design problem, you probably don’t.
What you’re usually dealing with is a decision problem. One that design is being asked to carry on its back.
This is incredibly common. A brand starts to underperform. A website feels tired. Conversion slows. Differentiation fades. Eventually someone says, “We need a rebrand.”
This is incredibly common. A brand starts to underperform. A website feels tired. Conversion slows. Differentiation fades. Eventually someone says, “We need a rebrand.”
It focuses on:
- Commercial objective
- Primary audience
- Point of competitive difference
- Desired shift in perception
- Non-negotiable brand boundaries.
- One-intent headings and short paragraphs
- Unlike traditional SEO, the goal is not just ranking pages; it’s being selected as a source.
- Structured formats like tables, steps, and lists
Once those are shared and owned, design becomes execution instead of negotiation.
Why AI Search Optimization Matters in 2026
What Is AI Search CoAI Search Content Optimization (also known as AEO or GEO- Generative Engine Optimization) is the practice of structuring digital content so AI models can accurately parse, summarize, and cite it as a primary source.
AI search visibility in 2026 will be shaped by two parallel discovery surfaces: Google AI Overviews on the SERP and LLM-powered chat interfaces such as ChatGPT, Gemini, Perplexity, and Copilot.
On Google, AI Overviews act as an interpretation layer above traditional organic results. Instead of ranking pages alone, Google increasingly retrieves content from its index and synthesizes it into AI-generated summaries, citing selected sources where possible.
At the same time, LLM-based AI search experiences are becoming a parallel discovery channel. Tools like ChatGPT, Gemini, and Perplexity answer user questions directly by retrieving and summarizing web content, often without displaying traditional rankings at all.
