Until recently, optimising a website meant impressing Google’s algorithm and hoping a human clicked your blue link.
Now there’s a new character in the story. AI tools like ChatGPT, Gemini, and Perplexity don’t just point people to websites; they summarise, recommend, and decide what gets mentioned at all. Optimising for AI search means shifting your mindset from “how do I rank?” to “how do I become the source?”
Google is still the main event, but LLMs like ChatGPT and Gemini now influence how people discover information and brands.
Why is my SEO not working?
Why doesn’t classic SEO fully cover AI search?
Traditional SEO is built around rankings, keywords, and clicks.
AI search is built around answers.
When someone asks ChatGPT a question, it doesn’t scroll a results page. It pulls from its understanding of trusted sources and presents a single, confident response. Sometimes with citations. Often without.
That shifts the goalposts. Being on page one matters less if you’re not understandable, quotable and credible enough to be pulled into the response itself.
SEO still matters. It underpins everything. But it’s no longer the whole job.
What’s changed in how people search in 2026?
People don’t “search” anymore. They prompt.
Instead of typing fragmented keywords, users ask full questions, follow up, refine, compare, troubleshoot and explore. AI remembers context and builds on previous prompts, unlike traditional search, which treats every query as a fresh start.
Search intent is no longer static. A single journey can move from learning to comparing to deciding in seconds. That means your content can’t just answer one narrow query. It needs to support the entire conversation.
Technical foundations for AI visibility
AI models can’t use what they can’t access.
Just like search engine crawlers, LLMs need to be able to reach and understand your content. That means:
- Don’t block AI bots in your robots.txt
- Ensure key content isn’t hidden behind scripts, logins or unnecessary friction
- Make non-text content usable: images, PDFs, charts, tables, and videos all feed AI answers
Accessibility is table stakes. Without it, nothing else matters.
Content structure: clarity beats cleverness
AI doesn’t admire prose. It admires clarity.
To increase your chances of appearing in AI-generated answers:
How do I write content for AI search?
- Write clearly and ambiguously
- Break content into logical, semantic sections
- Use FAQs, bullet points, tables and summaries
- Structure content around concepts, not just keywords
Well-structured content is easier for AI to parse, understand and reuse. FAQs in particular mirror the conversational way users speak to AI tools, making them prime candidates for inclusion in responses.
If a human can skim it and immediately “get it”, an AI probably can too.
Advanced AEO- Schema and entities
This is where SEO quietly graduated into GEO (Generative Engine Optimisation)
Structured data helps AI understand not just what your content says, but what it means. Schema markup, clear entity relationships and consistent terminology all reduce the guesswork for AI models. Now we get it. This can sound super confusing, and there is a lot that goes into schema, so if you want to know more, definitely consult with an SEO specialist!
Essentially, you’re not just feeding machines content. You’re feeding them context.
The clearer the relationships between your brand, your services, your expertise and your industry, the easier it is for AI to confidently reference you as a source.
Off-site optimisation
AI models favour trusted voices.
High-quality, authoritative content remains essential, but visibility beyond your own site matters more than ever. LLMs crawl and learn from high-authority platforms, communities and publications.
That means:
- Brand mentions on trusted websites matter as much as backlinks.
- Digital PR is still powerful, just for a new audience.
- Thought leadership, expert commentary and industry coverage increase your chances of citation.
- Participation on platforms like Reddit, Medium, or Substack can introduce your brand into AI training and retrieval sources.
In AI search, it’s less about link juice and more about being referenced as credible.
Where should I choose to feature?
AI search rewards depth, no dabbling. Creating topically grouped content that covers a subject end-to-end signals expertise and trust. Content hubs help AI follow the logical path a user might take through a topic, including the follow-up questions they haven’t asked yet.
Your goal isn’t just to answer the first prompt. It’s to remain relevant throughout the entire conversation.
Uniqueness is your unfair advantage
AI will always prefer unique information where possible.
Original research, proprietary data, real-world experience, tools and insights only you can provide dramatically increase the likelihood of being cited or paraphrased in AI responses.
If your content could be written by anyone, it could be replaced by anyone. Including an AI>
Conclusion
Is SEO dead?
No, it’s just growing up!
Every few years, search is declared “finished”. Mobile-first indexing, voice search, Core Web Vitals, TikTok. All caused panic. None dethroned Google. AI search won’t either.
Should you abandon SEO for AI Optimisation?
Definitely not.
Traditional SEO is still the foundation. If your site isn’t crawlable, fast, authoritative, and well-structured, you won’t perform in Google or AI search. GEO doesn’t replace SEO. It builds on it.
What should you actually focus on now?
Clarity, credibility, and context.
Create content that’s easy to understand, hard to ignore and genuinely useful. Group it topically. Structure it properly. Make sure it’s accessible to both humans and machines. Then support it with authority beyond your own site.
So, are you already doing this without realising?
Probably! If you’ve invested in strong foundations, authoritative content and a clear brand voice, you’re not behind. You’re already adapting.
