Search has always been about adaptation. I remember in the early years of my career when there were almost no ways to track SEO progress. I used to take screenshots of search results just to prove rankings to clients. Then tools like Google Search Console arrived and gave us structure.

Today, we are entering another transformation. Search is moving beyond links and snippets into an era shaped by Synthetic Intelligence.

Synthetic Intelligence, a broader term that includes artificial intelligence, generative engines, and conversational systems, is changing how users search. It is also changing what SEO means.

Why Synthetic Intelligence Matters for SEO

The search results page is no longer the centerpiece. At Google I/O in May 2025, Sundar Pichai introduced AI Mode as the core of the future of search. Bing Copilot, Perplexity, and other engines are already moving discovery toward generated answers. Instead of clicking through ten blue links, users are consuming synthesized responses directly in the interface.

For SEOs, the question is no longer “How do I rank?” but “How do I show up in AI-generated answers?”

This feels similar to when structured data was introduced or when Core Web Vitals became important. The people who adapt early will shape how Synthetic Intelligence engines cite, trust, and present their content.

Lessons From My Own Work

When I was at GitHub, I witnessed firsthand how AI can transform the way people discover information. We launched Copilot, and I worked across product, engineering, and marketing to align discoverability with adoption metrics. One lesson that stayed with me was that models are only as good as the data they can retrieve. If your documentation is structured, explanatory, and connected, it shows up in a way that helps both the user and the model.

I have been working with teams to track how AI mentions brands. We have been building dashboards that monitor whether Firefly, Express, and Acrobat are being cited inside AI Overviews. It feels just as unstructured as SEO did in the early days, but the insights we are uncovering about what is retrieved, what is omitted, and why, are shaping how we position content for Synthetic Intelligence.

Steps SEOs Can Take Right Now

While the playbook for optimizing in a Synthetic Intelligence world is still forming, there are steps SEOs can act on today.

1. Structure Content for Machines and Models

Search engines and large language models are pulling from Data structures designed for automated processing, like JSON-LD and Markdown. At GitHub, we leaned heavily on structured documentation because we knew it would be reused in Copilot. For your own site, use schema markup, consistent formatting, and organize it into clear sections that AI systems can navigate and interpret.

2. Build Entity Authority

Synthetic systems rely less on keyword matching and more on entities like people, products, places, and organizations. When I was writing for Search Engine Land, I saw that AI summaries frequently pulled information from established and trusted sites. Invest in building authority through mentions in trusted publications as well as  UGC sites like Reddit and Quora.

3. Optimize for Retrieval, Not Just Ranking

Think beyond the search results page. Generative models pull information based on retrieval signals. Explicit, explanatory, and cited content has a better chance of being ingested and reused. I have been working with clients and the teams I support to reframe how FAQs, glossaries, and resource guides are written, making them both easy for people to read and simple for AI to process.

4. Track Brand Mentions in AI Outputs

Start monitoring whether your company is being surfaced in AI Overviews or conversational assistants. I have worked with tools like SpyGPT and Profound to track mentions. This is the new form of visibility, brand impressions inside AI engines.

SEO has always been about meeting users where they are searching. For the next decade, that means learning how Synthetic Intelligence retrieves, organizes, and generates answers. The SEOs who thrive will be the ones who treat AI models as a new kind of audience, one that still needs clarity, authority, and structure to guide its responses.

Synthetic Intelligence is not replacing SEO. It is reshaping it. The steps we take now, such as structuring content, building entity authority, and tracking AI mentions, will decide whether our brands are lost in the noise or positioned at the center of this new search ecosystem.