Google says there are no special requirements or separate ranking factors for appearing in AI Overviews. The fundamentals remain the same: strong technical SEO, helpful information and content created for people first.
That doesn’t mean AI Overviews change nothing for content strategy. They change how useful your content needs to be. Google’s AI systems can draw on information from multiple searches and sources to build an answer, which means simply ranking for a keyword is no longer the whole story. Your content needs to be clear, trustworthy and useful enough to become part of that answer.
So, how to rank in Google AI overviews? Let’s break it down.
1. First: What exactly is a Google AI Overview?
If you’re trying to get your website into Google’s AI Overviews, you might expect there to be a new set of rules to follow: special schema, AI-specific markup, or a clever optimisation trick that puts your content ahead of the competition.
There’s a catch. Suppose someone searches:
“How does occupational therapy help children with visual perception?”
Instead of giving only:
1. Website A
2. Website B
3. Website C
4. Website D
Google may now generate an AI Overview above the traditional results.
It might say something like:
Occupational therapy can help children develop visual perception by working on skills such as visual discrimination, spatial relationships, visual memory and figure-ground perception. Activities are typically tailored to the child’s specific difficulties…
Then underneath that explanation, Google provides links to websites that support or expand on the information.
That’s the crucial part.
AI Overviews aren’t designed to replace the web completely.
Google describes them as a way to help users understand a complicated question quickly and then explore supporting websites. Its systems can retrieve information from multiple sources and surface links to those sources.
So your goal for your AI overview SEO strategy isn’t simply:
“Make Google AI mention my website.”
The better goal is:
Create content that Google can confidently retrieve, understand, extract useful information from and cite when constructing an answer.
That’s a much more useful way to think about AI search.
2. How is this different from traditional SEO?
Traditional SEO often works something like:
Query → page relevance → rankings → click
AI search introduces another layer:
Query → interpretation → multiple related searches → retrieval of useful passages → synthesis → supporting sources
Google says AI Overviews and AI Mode may use a technique called query fan-out.
For example, imagine you’re a home renovation company.
You have one article:
“How Much Does a Home Renovation Cost?”
That’s useful, but a homeowner considering a renovation will probably have many other questions:
- How much does a kitchen renovation cost?
- What does a bathroom renovation involve?
- How long does a home renovation take?
- Should I renovate or rebuild?
- What should I consider before renovating?
- How do I plan a renovation budget?
- What permits might be required?
- How do I choose a renovation company?
- What happens during the renovation process?
- How can I avoid common renovation mistakes?
- Which parts of a renovation usually cost the most?
Now imagine the company has genuinely useful pages and articles covering these areas.
You’re no longer relying on one page to establish relevance. The website has multiple useful resources connected to the broader subject of home renovation.
That gives Google more context about what the business knows and the areas it can provide useful information about.
And this is particularly relevant to AI search. Google says AI features can use multiple searches and sources to develop a response, meaning different pages can potentially contribute information to the broader answer.
The important distinction when mapping out your AI overview SEO strategy is this:
Topical authority isn’t about publishing dozens of pages just to cover keywords. It’s about building a genuinely useful body of information around the problems your audience is trying to solve.
So, for a renovation company, a strong content ecosystem might look like:
Home Renovations
↓
Kitchen Renovations
Bathroom Renovations
Whole-Home Renovations
Renovation Costs
Renovation Planning
Renovation Process
Renovation Mistakes to Avoid
Then supporting articles can answer the more specific questions homeowners search before, during and after making a renovation decision.
That’s considerably more useful than publishing ten articles that all repeat the phrase “home renovation company” in slightly different ways.
3. But here’s an important correction to common “GEO” advice
When trying to figure out, how to rank in Google AI overviews, you will find people selling things like:
“Add special GEO schema.”
“Create an llms.txt file.”
“Add special AI markup.”
Be careful.
Google currently says you don’t need any special schema.org markup, AI text files or machine-readable files to appear in AI Overviews or AI Mode.
Google’s current documentation specifically says there are no additional technical requirements beyond being indexed and eligible for a normal Search snippet.
That doesn’t mean technical SEO doesn’t matter.
It means:
Don’t confuse technical accessibility with an “AI optimisation hack.”
4. Google must be able to find and index the page
This sounds basic, but it’s fundamental. For your page to be eligible as a supporting link in AI features, Google says it must:
- Be crawlable
- Be indexed
- Be eligible to appear in normal Google Search
- Have content that Google can access
There is no AI Overview shortcut around indexing when it comes to AI overview SEO strategy.
So before worrying about:
“How do I write content for AI?”
you need:
“Can Google actually access, understand and index this content?”
That means checking things such as:
Technical accessibility
- Robots.txt
- No accidental noindex
- Canonicalisation
- Internal links
- Crawlability
- Mobile usability
- Page experience
- Indexation
- JavaScript rendering where relevant
Google also recommends ensuring important information is available in textual form.
5. Answer the actual question
This sounds obvious.
It isn’t.
A lot of SEO content starts like this:
“In today’s fast-paced world, finding the right occupational therapy services can be challenging…”
That’s not answering anything.
Imagine the query is:
“What causes poor visual perception?”
The user wants:
Poor visual perception can be associated with difficulties in areas such as visual discrimination, spatial relationships, visual memory, figure-ground perception and visual processing. In children, these difficulties may affect tasks such as reading, handwriting, finding objects or navigating their environment.
That’s immediately useful. Then you can explain each component.
This is extremely important for AI search.
AI systems need extractable answers.
If the actual answer is buried underneath:
- Generic introductions
- Marketing copy
- Repetitive keyword usage
- Five paragraphs of background
- Vague statements
you’re making the information harder to use.
6. Think in “answer units”
This is one of the most useful ways to approach content for AI Overviews when trying to create an action plan on how to rank in Google AI overviews.
Instead of thinking:
“I need to write a 1,500-word article.”
Think:
“What individual questions does this article need to answer?”
For example:
Topic:
How OT Builds Strong Visual Perception Skills in Children
Possible answer units:
What is visual perception?
A concise definition.
What causes poor visual perception?
Relevant causes/associated factors.
What are the signs?
Observable examples.
What skills make up visual perception?
For example:
- Visual discrimination
- Visual memory
- Spatial relationships
- Figure-ground
- Form constancy
- Visual closure
How does OT address visual perception?
Explain the therapeutic approach.
What activities can help?
Specific examples.
Does ADHD affect visual perception?
A nuanced answer.
When should parents seek support?
Practical guidance.
Now you’ve created a page containing many independently useful information units.
That’s much stronger than writing 1,500 words around one keyword.
Structure your content so Google understands it
The way you structure information matters because both users and search systems need to understand what each section is actually answering.
Let’s say a renovation company is writing “How Much Does a Home Renovation Cost in Australia?”
Rather than filling the article with paragraphs around the same keyword, structure it around the questions a homeowner is likely to ask:
- What is the average cost of a home renovation?
- What factors affect the price?
- How much should you budget for unexpected costs?
- How long does a renovation take?
- Is it cheaper to renovate or rebuild?
The way you structure information matters because both users and search systems need to understand what each section is actually answering.
Let’s say a renovation company is writing “How Much Does a Home Renovation Cost in Australia?”
Rather than filling the article with paragraphs around the same keyword, structure it around the questions a homeowner is likely to ask:
- What is the average cost of a home renovation?
- What factors affect the price?
- How much should you budget for unexpected costs?
- How long does a renovation take?
- Is it cheaper to renovate or rebuild?
Each section should answer the question directly before adding useful context or detail.
This makes the content easier for readers to navigate while giving search systems clear, meaningful information to understand and retrieve. More importantly, it covers the broader search journey, rather than answering just one question and stopping there.
The goal isn’t to make the article longer. It’s to make every section more useful.
7. Don’t just answer. Add something original.
This is probably the most important part of Google’s current guidance.
Imagine 100 renovation companies publish:
“Renovations can increase the value and functionality of your home.”
That’s true.
But it’s also generic information. An AI system can find the same statement on countless websites.
Now imagine a renovation company explains:
“If you’re opening up a wall between the kitchen and living area, the cost isn’t just about removing the wall. You may also need to consider structural support, electrical changes, flooring transitions and changes to lighting or plumbing.”
That’s more useful.
Why?
Because it adds:
- practical context
- specific considerations
- real-world experience
- useful detail
That’s what makes content more valuable than a generic statement that could appear on any renovation website.
8. Headings should represent questions and concepts and not just keywords
Instead of treating headings as places to insert keywords, use them to guide the reader through the questions and information they actually need.
| Approach | Example headings | Why it matters |
| ❌ Keyword-focused | Visual PerceptionVisual Perception ActivitiesVisual Perception TherapyVisual Perception OTVisual Perception Treatment | Looks repetitive and keyword-driven rather than genuinely useful to the reader. |
| ✅ Question & concept-focused | What Is Visual Perception?What Are the Signs of Poor Visual Perception?Which Visual Perception Skills Can Children Struggle With?How Can Occupational Therapy Help?What Activities Support Visual Perception?When Should Parents Seek Professional Support? | Maps the information journey, answers the questions users are likely to have and gives search systems clearer context around each section. |
9. But don’t make everything artificially short
There’s another common mistake.
People hear:
“AI needs concise answers.”
Then they turn every article into:
What is X?
X is…
Why does X happen?
Because…
What are the benefits?
A, B and C.
That can become shallow. Google’s guidance still emphasises substantial, complete and satisfying content.So the ideal isn’t short content. It’s high information density.
Every section should earn its place. Every section should earn its place.
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