Search engines no longer just display links. They answer. They summarize. They recommend. With the rise of models like ChatGPT and the introduction of AI Overviews in Google, online visibility is changing in nature. We now talk about GEO (Generative Engine Optimization) to refer to this type of optimization designed for conversational engines.
AI does not replace SEO. Best practices remain the same: clear structure, high-quality content, up-to-date data. What changes is the way we adapt them to also meet the logic of GEO.
This article explains in concrete terms how each of these systems works, which content should be prioritized for updates, and which adjustments maximize visibility for both humans and algorithms.
Should You Update Your SEO Content for AI?
Or more precisely, when should you wisely and intelligently adapt your existing content to remain visible both on Google and on conversational engines?
The Type of Content
The answer depends on the type of content: purely transactional pages (such as real estate listings, product sheets, or recent sports results) are primarily intended for immediate conversion. For these, the urgency to “tweak for AI” is lower. Google remains the reference platform for directly connecting a buyer to a product.
On the other hand, for pillar or editorial content (guides, blog articles, FAQs, real estate market analyses, expert advice), considering AI is relevant. In fact, AI (more specifically LLMs, or Large Language Models) rely on context and up-to-date information. Regularly updating your content therefore significantly increases AI visibility.
Good Reasons to Update Your Content
In SEO, outdated content can affect the overall performance of the rest of your site. Marketers understand this: updating SEO content is a winning lever.
A study by SERanking reveals that articles updated within the last three months receive on average twice as many citations in ChatGPT responses as older content. In other words, maintaining a steady refresh rhythm (for example, a quarterly audit, or even monthly if possible) greatly increases the chances of appearing in generative responses.
How Google and LLMs Work, and What They Rely On
Google: Keywords, Structure, and Backlinks
The traditional search engine indexes and ranks pages via its ranking algorithms. It “sees” content as a collection of words and links.
The importance of keywords remains high: those in the title, H1/H2/H3 tags, URLs, and body text guide the page’s topic. A clear structure (H1 for the main topic, H2/H3 for subtopics) facilitates Google’s understanding.
Backlinks (incoming links) remain a major authority criterion because Google primarily discovers pages through links from other already-indexed pages. In other words, the more your site is cited or linked by other trusted sites, the more Google will consider its content reliable.
LLMs: Authority, Independent Blocks, and Multi-Channel Presence
LLMs do not rely on links between pages, but on a vast knowledge base and credible sources. They prioritize comprehensive, structured, and up-to-date content from authoritative sites (government, academic, reputable media).
In practice, LLMs rely on sources such as Wikipedia, YouTube, Reddit, or recognized newspapers. In other words, to be “visible” to LLMs, your content (or brand) must appear in the contexts from which the AI draws information. For an LLM to consider your page a reliable source, it must see consistent information across multiple channels (a blog article, a LinkedIn post by your brand, a forum, etc.).
In short, Google views content page by page (keywords, titles, links), while LLMs view content as a puzzle of independent blocks structured from various sources.
How to Optimize Your Visibility for AI
Working on SEO remains essential: high-quality, well-structured content is the foundation. But AI also requires additional signals. Here are some concrete recommendations:
- Structured Data (Schema.org): Implement the appropriate tags for your content type, such as blog articles, FAQs, or business listings. This allows Google and ChatGPT to better understand the exact nature of your content and display rich snippets. Simple tools can help you create and test structured data, such as the Merkle generator or Google’s Rich Results Test.
- Clear Titles, Introductions, and Meta Descriptions: A unique H1 title followed by a well-written introductory summary, along with bullet points or info boxes (key data, figures), can also facilitate AI reading.
- FAQ Sections: Include a “FAQ”-type section at the end of your article (with proper markup).
- Content Structure: Divide your pages into sections of 120–180 words under headings and naturally insert authoritative external sources in the body text.
- Regular Updates: Recently updated articles double their citation rate by AI. Update partially (new sections, current trends) rather than republishing everything entirely.
- Brand Presence and Social Referencing: Participate in forums and reviews to strengthen credibility (e.g., Quora, Reddit, Google My Business).
- Technical SEO: Ensure your pages are indexable and avoid over-optimization.
In summary, optimizing for AI means enhancing your existing SEO, not reinventing everything. Every good SEO practice (quality content, clear structure, link building) remains necessary. Add an AI optimization layer: updated content, structured data, and brand consistency.
FAQ : Updating SEO Content for AI Visibility
Has traditional SEO become useless?
Not at all. Classic SEO remains the foundation of your visibility. Without a site indexed and well-ranked on Google, appearing in AI responses is impossible. AI simply gives more weight to already solid SEO content.
Should I create additional content for ChatGPT?
Generally, no. It’s better to first update and structure your existing content. AI models feed on what already exists (your site + the web). They will cite your pages if they answer questions well. There’s no need to write dedicated “mini-blogs” unless you identify major gaps in your content.
How can I know if I am cited by an AI?
This is still tricky. Generated answers do not always show sources. You can test certain queries in ChatGPT (browser version) to see if your site appears. To track your presence, you can use AI visibility reports (e.g., UberSuggest) that count your citations. You can also manually test your content by asking ChatGPT to summarize it to check its understanding.
Do I have to choose between SEO and GEO?
No. GEO does not replace SEO; it builds on SEO. A site that is not well-optimized for SEO has no chance of being picked up by AI. With a solid SEO strategy, your site can appear in AI results.
How to combine SEO and GEO effectively?
The first step is to keep SEO as the foundation. Then adapt content for GEO: add concise answers, clear definitions, FAQ formats, etc. This was already common practice. Afterward, reinforce E-E-A-T (Experience – Expertise – Authoritativeness – Trustworthiness). Finally, diversify formats (text, images, audio, video).
Which type of content should be prioritized for AI?
Educational and factual content is preferred by LLMs. For example, a detailed guide on the real estate market or a structured FAQ on selling a specific type of property will perform better than a simple listing. This explains the renewed interest in blog content.
Conclusion
In practice, none of the good SEO practices should be abandoned in an AI visibility strategy. On the contrary, a solid SEO foundation is essential for AI visibility. Without prior SEO visibility, there can be no AI visibility.
In summary, SEO work involves more than identifying keywords for Google; it now requires specific editorial and technical skills to adapt to the new AI algorithms, which remain closely guarded secrets and constantly evolve.
