What Makes On-Page Optimisation More Visible in AI Overviews

On-page optimisation has taken on a slightly different role now that AI Overviews and other AI-driven search experiences are shaping how people discover information. The goal is no longer just to rank a page. It is also to make the page easier for search systems to understand, trust, and surface in a useful way.

Google’s guidance is fairly direct on this. There are no special extra requirements to appear in AI Overviews. A page still needs to be indexed, eligible to show a snippet, and built on solid SEO fundamentals. That includes crawlability, internal linking, strong page experience, and important content available in HTML text. Yep, exactly, SEO is not dead – it’s evolving. We’ve been saying this for some time.

Why On-Page Optimisation Still Matters in AI Overviews

Good on-page optimisation helps a page communicate its purpose clearly. That matters even more when AI systems are pulling together answers from multiple sources rather than simply listing ten blue links.

Microsoft’s (you know, the guys that also invested heavily in ChatGPT) published guidance explains that AI systems often break pages into smaller content sections, then evaluate those sections for clarity, authority, and relevance. In plain terms, pages with cleaner structure are easier to use in AI-generated answers.

That is where content structure starts to matter. A page that rambles, hides key information, or mixes too many ideas into one block is harder to interpret than a page with a clear heading, a direct answer, and supporting detail underneath. Research into AI citation behaviour also shows that around 44% of citations come from the first 30% of a piece of content. Getting to the point early is no longer just good writing practice. It directly affects whether a page gets cited.

On-Page Optimisation and Content Structure That Helps

Strong on-page optimisation now leans on structure as much as wording. Useful pages often include:

• a specific page title and H1 that match the search intent
• H2 and H3 headings that describe real questions or topics
• short paragraphs that stay on one idea at a time
• lists, tables, or steps where they genuinely help
• concise answers that make sense even when pulled out of context

Microsoft also recommends Q&A formats, strong headings, and modular layouts because they are easier for AI systems to parse. It specifically warns against long walls of text, putting key information only in images, and relying on PDFs for core content that should live in HTML. PDFs is such a common issue, and isn’t a new issue either. Some things just seem to never change.

The formats that consistently earn more AI citations include:

1. Short, clear sentences. Concise writing is easier for AI systems to extract cleanly and use in a summary.
2. Comparison tables and lists. Structured content breaks information into discrete units that AI can use directly.
3. Well-structured FAQs. Writing in full questions rather than short keywords improves both traditional SEO and AI search visibility.
4. Content freshness. Updated pages with current data and a visible last-updated date signal credibility to both users and AI systems.

How Technical SEO Supports On-Page Optimisation

Technical SEO still does the background work that makes everything else possible. If a page cannot be crawled properly, is blocked, loads poorly, or serves thin mobile content, even strong copy will struggle to perform.

Google’s documentation is clear that AI features rely on the same technical foundations as search overall. Of course it’s not just about Google, it is across all or most major AI Search tools like Perplexity, ChatGPT, Gemini (yes, Google), Claude and so on. That means making sure crawling is allowed, important content is reachable through internal links, structured data matches the visible page content, and controls like nosnippet or max-snippet are used correctly when needed. Schema markup is worth particular attention. Pages with comprehensive JSON-LD markup are significantly more likely to appear in AI Overviews, with FAQ, Article, and Organisation schema all giving AI systems machine-readable answer units they can extract with confidence.

Technical SEO and content structure should not be treated as separate jobs. One helps the page get found and understood. The other helps the page become usable in search results and AI answers.

What Better On-Page Optimisation Looks Like Now

Better on-page optimisation is less about stuffing terms into headings and more about making the page genuinely easy to interpret. A stronger page usually does three things well:

1. answers a real question early
2. explains the topic with enough depth to be useful
3. keeps the layout clean enough for both people and machines to follow

Google’s people-first content guidance reinforces this. Content should be made to help the audience, show real expertise, and leave someone feeling they got what they came for, rather than pushing out pages just to chase rankings.

For businesses reviewing their search visibility, that is the shift worth paying attention to. Different companies, such as a search engine optimisation company in Sydney, may approach SEO through both technical clean-up and content improvement, because that combination is what gives a page a better chance of being found and chosen.