AI search optimisation is the practice of making your content useful, clear and trustworthy enough to appear in conversational search results and cited AI answers. It builds on good SEO rather than replacing it. Technical access, relevant pages and authority still matter. The difference is that people now ask longer questions and expect a direct, supported response.
Google said in May 2026 that the average AI Mode query was three times longer than a traditional search query. Marketers should plan content around decisions and follow-up questions, not a single keyword repeated across a page.
What AI search optimisation changes
Traditional SEO often begins with a phrase and a results page. AI search begins with a problem that may contain several constraints. A person might ask for the best approach, compare options, refine the request and then look for proof.
Your content needs to survive that journey. A strong page should state what it covers, answer the main question early and make the evidence easy to identify.
Write answers that can stand alone
Place a concise answer directly below a descriptive heading. Definitions, steps and comparisons should make sense without a long introduction. This helps readers scan the page and gives search systems a clear passage to understand.
Do not strip out personality. A direct answer can still carry a point of view. The aim is clarity, not blandness.
Publish material worth citing
Google’s 2026 Search updates place greater emphasis on original content, trusted sources and visible links from AI responses. A rewritten summary of other summaries offers little value. Original evidence is far more useful.
Useful source material includes:
- Named case studies with dates and outcomes.
- Original survey results with sample details.
- Expert commentary linked to a real author profile.
- Photographs, examples or demonstrations from real work.
- A tested method that explains what succeeded and what failed.
Make authorship clear
A reader should be able to see who wrote the article, why that person knows the subject and when the material was reviewed. Add a useful author page, a publication date and a modified date where the content changes.
For a professional portfolio, connect articles to case studies and career experience. Expertise becomes more credible when a reader can trace it to actual work.
Build topic groups, not isolated posts
One article cannot answer every related question. Create a focused set of pages around a clear subject, then link them naturally. An article about AI marketing trends might link to a practical implementation plan, a measurement guide and a case study.
Use descriptive link text. “Read our AI marketing strategy guide” tells people and search systems more than “click here”.
Use structured data carefully
Article structured data can identify the headline, author, dates and main image. Organisation and Person markup can clarify the publisher and author. Markup must reflect content visible on the page. It should not invent awards, reviews or claims.
Structured data is a label, not a shortcut. Weak content does not become authoritative because a script calls it an article.
Give images and video a proper role
More searches now begin with voice and images. Visuals should explain or prove something. Use descriptive file names, accurate alt text, surrounding context and captions where they add value.
A diagram showing a method, a campaign example or an original product demonstration is stronger than a decorative stock image placed between paragraphs.
Protect technical foundations
Search systems need to access and interpret the page. Keep important content in the HTML, use a logical heading order and avoid hiding the core answer behind interaction. Pages should load quickly and work well on mobile devices.
Check canonical URLs, indexation, internal links and XML sitemaps. AI search has not removed these basics. Frankly, no amount of fashionable terminology repairs a page that cannot be crawled.
Measure the right signals
Traffic alone may not show the full effect of AI search. Watch branded searches, qualified enquiries, assisted conversions, citations, referral patterns and engagement with high-intent pages.
Review articles quarterly. Update facts, strengthen weak sections and add new first-hand evidence. Keep the original publication date and show a modified date when the change is material.
AI search optimisation checklist
- Choose one decision or customer question per page.
- Answer it directly near the top.
- Add original evidence and a named author.
- Link to related pages using descriptive wording.
- Use accurate Article and Person structured data.
- Optimise useful images with descriptive alt text.
- Review technical access and mobile performance.
- Refresh the page when facts or products change.
Sources and further reading
Google: How people are using AI Mode
Google: New source links in AI Search
Google: Original content and preferred sources