Search is changing.
People are no longer using Google only to type a short keyword, scan ten blue links, and choose one website. Increasingly, they are asking longer, more conversational questions and expecting Google to understand the context, combine information and provide a useful answer.
Google’s AI-powered search experiences, including AI Overviews and AI Mode, are designed around this shift. Google says these experiences can use its Search systems to retrieve relevant information and generate responses with links to supporting web pages.
For businesses, this creates an important SEO question:
How do you make your website easier for both people and search systems to understand?
The answer isn’t to chase every new “AI SEO hack.”
Google’s current guidance is actually quite clear: there are no special technical requirements or secret AI markup needed to appear in AI Overviews or AI Mode. The fundamentals of good SEO still matter.
But the way businesses should think about SEO is evolving.
Traditional Google Search vs AI Search
Traditional search generally works like this:
User searches → Google finds relevant pages → User chooses a result → User reads the page
AI-powered search can involve a more complex journey:
User asks a detailed question → Search systems retrieve relevant information → AI synthesizes an answer → Supporting links are presented → User explores further
Google describes technologies such as retrieval-augmented generation and “query fan-out” as part of how its generative AI search experiences can retrieve information from multiple related searches and sources.
This means your website shouldn’t only be optimized around:
“What keyword should I rank for?”
It should also answer:
“What questions does my potential customer need answered before choosing us?”
That’s a much more useful way to approach modern SEO.
What Are AI Overviews and AI Mode?
AI Overviews
AI Overviews provide an AI-generated summary for certain searches, with links that allow users to explore supporting information.
Google says AI Overviews are shown when its systems determine that the AI response adds value compared with traditional Search alone.
For example, instead of searching:
“solar installation cost Noida”
and opening several websites individually, a user may receive an AI-generated overview that summarizes relevant information and provides links for deeper research.
That changes the role of websites.
Your goal isn’t simply to appear for a keyword.
You want your website to be a credible, useful source of information that Search can understand and users want to visit.
AI Mode
AI Mode takes conversational search further.
Users can ask detailed questions, refine them, and continue the conversation.
For businesses, this means search journeys can become less predictable.
A customer might begin with:
“What type of solar panel is best for a commercial building?”
Then ask:
“How much does installation usually cost?”
Then:
“What should I check before choosing an installer in Noida?”
A business that has useful, well-structured information covering these related questions has more opportunities to be relevant throughout the research journey.
Is SEO Still Important for AI Search?
Yes.
This is one of the most important points to understand.
Google explicitly says that its existing SEO best practices remain relevant to AI Overviews and AI Mode. There are no additional technical requirements for appearing as a supporting link in these AI features beyond being eligible for Google Search.
Google’s newer guidance also explains that its generative AI experiences are rooted in its existing Search ranking and quality systems.
So you don’t need to throw away your SEO strategy.
Instead, you need to make it clearer, more useful and more authoritative.
AEO and GEO: What Do These Terms Actually Mean?
You may have heard two terms increasingly used in digital marketing:
AEO — Answer Engine Optimization
The idea is to make content useful and understandable for systems that provide direct answers to questions.
GEO — Generative Engine Optimization
A broader term commonly used for improving the likelihood that a brand or its content is represented in generative AI search experiences.
These terms can be useful when discussing the changing search landscape.
But there’s an important distinction.
Google’s current guidance says that, from Google’s perspective, optimizing for generative AI search is still fundamentally SEO. Google also warns against unsupported “AEO/GEO hacks.”
So rather than creating a completely separate “AI SEO” system, think of AEO/GEO as a way of applying strong SEO principles to an evolving search experience.
1. Start With Clear Questions and Clear Answers
One of the simplest improvements you can make is to make your content easier to understand.
Instead of writing a page that talks broadly about:
“Our innovative digital solutions help businesses succeed.”
Answer specific customer questions.
For example:
Weak approach
Digital Marketing Services
“We provide comprehensive digital solutions designed to accelerate your business growth.”
Better approach
What Does a Digital Marketing Agency Do?
“A digital marketing agency helps businesses attract and convert customers through channels such as SEO, Google Ads, social media, content, websites and other digital campaigns.”
The second version gives users—and search systems—a much clearer understanding of the topic.
This doesn’t mean every paragraph should be written like a FAQ.
It means important information should be direct, specific and easy to identify.
2. Build Content Around Topics, Not Just Keywords
Old-school SEO often focused heavily on individual keywords.
For example:
digital marketing agency Greater Noida
Then another page:
digital marketing company Greater Noida
Then another:
best digital marketing agency Greater Noida
Creating endless variations isn’t necessarily a strong strategy.
Instead, build a useful topic around the actual customer need.
For example, a comprehensive page about:
Digital Marketing Services in Greater Noida
could naturally cover:
- SEO
- Local SEO
- Google Business Profile
- Google Ads
- Meta Ads
- Website development
- Content creation
- Lead generation
- Performance marketing
- Reporting
- Industry-specific strategies
This gives users a more complete resource while allowing search systems to understand the relationship between the topics.
Google specifically recommends focusing on unique, valuable, people-first content rather than producing large numbers of pages primarily to manipulate rankings or AI responses.
3. Make Your Brand and Business Entity Clear
AI systems need context.
If your website simply contains disconnected pages about SEO, websites, ads and social media, it may be harder for a new visitor to understand how everything relates to your company.
Your website should clearly communicate:
Who are you?
What do you do?
Where do you operate?
Who do you serve?
What services do you provide?
What industries do you work with?
What experience do you have?
How can someone contact you?
For a local agency, for example, your website should consistently establish the relationship between:
DigiPromoters → Digital Marketing Agency → Greater Noida → SEO → Performance Marketing → Website Development → Lead Generation
This isn’t about stuffing those words onto every page.
It’s about making your business identity and relationships clear.
4. Create Strong Internal Links
Internal linking is often treated as a minor SEO task.
It shouldn’t be.
Google’s guidance for AI features specifically recommends making content easily discoverable through internal links.
Imagine someone reading your article about:
SEO vs Google Ads
Within that article, you link naturally to:
SEO Services
Performance Marketing
Lead Generation
Website Development
Now the visitor can explore the subject further.
At the same time, your website is creating a clear relationship between those pages.
A strong internal linking structure might look like:
SEO Guide
↓
SEO Services
↓
Local SEO
↓
Google Business Profile
↓
Local SEO Case Study
This creates a connected information architecture rather than a collection of isolated pages.
5. Demonstrate First-Hand Experience
One of the biggest opportunities in modern content is original experience.
Thousands of websites can write:
“SEO is important for business growth.”
That’s easy to generate.
But far fewer can explain:
- What happened during an actual campaign
- What problems a client faced
- Which strategy was tested
- What changed
- What didn’t work
- What was learned
- What the business achieved
For example:
Generic content
“Google Business Profile optimisation can improve local visibility.”
Experience-led content
“We worked on a local service business where the website was receiving traffic but generating few enquiries. After restructuring service pages, improving the Google Business Profile and aligning landing pages with local search intent, the campaign generated a stronger flow of relevant enquiries.”
The second type of information provides something generic content can’t easily replicate.
Google has repeatedly emphasised helpful, reliable, people-first content and original value rather than content created simply to manipulate Search.
6. Build Author and Company Credibility
Who is providing the information?
This matters particularly for subjects where expertise and trust are important.
Consider adding:
- Author information
- Professional background
- Company information
- Relevant experience
- Client work
- Case studies
- Reviews
- Certifications where relevant
- Contact information
- Clear business details
The goal isn’t to add meaningless badges everywhere.
It’s to help users understand:
“Why should I trust this information?”
7. Keep Your Important Information in Text
A visually impressive website can still create SEO problems if essential information exists only inside images, animations or videos.
Google’s AI feature guidance specifically recommends making important content available in textual form and ensuring that search systems can access the page.
For example, don’t rely entirely on an image saying:
“Complete Digital Marketing Solutions”
Also provide meaningful HTML text explaining:
- What services you provide
- Who they’re for
- Where you operate
- What makes the service different
Visual content can support the message.
It shouldn’t replace important information.
8. Use Structured Data Correctly
Structured data can help search engines understand certain types of information on your pages.
Depending on the website, relevant structured data can include things such as:
- Organization
- LocalBusiness
- Article
- Breadcrumb
- Product
- Service-related information where appropriate
Google explains that structured data can help it understand page content and can make pages eligible for certain rich-result appearances.
But there’s an important rule:
Don’t use structured data to say something that the visible page doesn’t actually support.
Google’s guidelines require structured data to follow its policies, and structured data doesn’t guarantee that a particular rich result will appear.
And don’t add schema simply because someone says:
“This schema will make AI rank your website.”
That’s not how Google’s current guidance describes AI search.
9. Keep Your Local Business Information Consistent
For local businesses, AI search doesn’t operate in isolation from local search.
Your business information should be accurate and consistent across your website and relevant business profiles.
Important information can include:
Business name
Address
Phone number
Service areas
Opening hours
Services
Business category
Reviews
Google specifically recommends keeping Business Profile information up to date as part of its guidance for AI features.
For example, if your website says you serve Greater Noida but your business profile has outdated information, you’ve created unnecessary confusion.
10. Create Pages That Answer the Full Customer Journey
A strong AI-search strategy isn’t about answering only one question.
Think about what happens before a customer contacts you.
For example, someone searching for a solar company may ask:
Awareness
What are the benefits of solar panels?
Research
How much does solar installation cost?
Comparison
Which solar panel technology is best?
Local intent
Best solar company in Noida
Decision
How do I choose a solar installer?
Action
Get a solar installation quote
Your website should ideally have useful content across this journey.
That might include:
- Blog articles
- Service pages
- Location pages
- Comparison guides
- FAQs
- Case studies
- Pricing information
- Contact/quote pages
This creates a much stronger information ecosystem than publishing dozens of unrelated articles.
11. Don’t Create Separate “AI Pages” for Every Question
This is where some AEO/GEO strategies go wrong.
You may see advice suggesting:
“Create one page for every possible question a user might ask AI.”
That’s not necessarily useful.
Google’s latest guidance explicitly warns against creating large numbers of pages primarily to manipulate rankings or generative AI responses. It recommends focusing on what users actually find helpful rather than generating pages for every possible query variation.
Instead:
One genuinely useful page can answer many related questions.
For example:
“Complete Guide to Solar Installation for Businesses”
could naturally answer:
- What is commercial solar?
- How does commercial solar work?
- What does installation involve?
- What affects cost?
- What type of system is appropriate?
- How long does installation take?
- What should businesses consider before choosing an installer?
That’s much more valuable than creating 20 thin pages.
12. Don’t Obsess Over “LLMs.txt” or Secret AI Markup
There’s a lot of misinformation around AI search.
You may hear about:
- Special AI files
- Secret schema
- LLM-specific markup
- “AI ranking tags”
- Content chunking formulas
- Guaranteed GEO techniques
Be careful.
Google’s current documentation says you don’t need to create new machine-readable files, AI text files or special markup to appear in Google Search’s generative AI features. Google specifically says that Search doesn’t use llms.txt as a special mechanism for appearing in these features.
So don’t spend your SEO budget chasing tactics that Google itself doesn’t recommend.
Focus on fundamentals.
13. Technical SEO Still Matters
AI search doesn’t eliminate technical SEO.
Your pages still need to be accessible.
Google’s basic technical requirements include:
- Googlebot isn’t blocked.
- The page works properly.
- The page contains indexable content.
You should also check:
- Robots.txt
- XML sitemap
- Canonical URLs
- Indexing
- Mobile usability
- Page speed
- Internal links
- Broken links
- JavaScript rendering
- Duplicate content
- HTTPS
- Core page experience
Google’s AI-search guidance reinforces that existing technical SEO practices remain important for generative AI features.
14. Use AI to Improve Content—Not to Replace Expertise
AI can be useful during content production.
It can help with:
- Research
- Outlining
- Topic organisation
- Content briefs
- Editing
- Summarisation
- Identifying content gaps
But simply generating hundreds of generic articles isn’t an SEO strategy.
Google’s guidance says AI-assisted content should still meet its Search Essentials and spam policies, and content created at scale without adding value can violate its policies.
The better workflow is:
AI assistance
↓
Human expertise
↓
Original examples/data
↓
Fact checking
↓
Expert review
↓
Useful final content
The result should sound like a business that actually knows its subject—not a collection of generic AI-generated paragraphs.
15. Measure AI Search Visibility
AI search introduces another measurement challenge.
You may not always see the same traditional ranking patterns you are used to.
Google’s Search Console continues to include traffic from AI features in Search performance reporting, and Google launched dedicated generative-AI performance reporting in 2026 for a subset of sites as it rolls the feature out.
Businesses should therefore monitor more than rankings.
Look at:
- Organic impressions
- Organic clicks
- Search queries
- Branded searches
- Non-branded searches
- Landing pages
- Leads
- Calls
- Form submissions
- Conversion rate
- Revenue from organic traffic
Ultimately, being mentioned in an AI result is useful only if it contributes to visibility, trust, engagement or business outcomes.
A Practical AI-Search SEO Checklist
If you’re preparing your website for AI-powered search, start here:
Technical
☐ Website is crawlable
☐ Important pages are indexable
☐ XML sitemap is maintained
☐ Internal links connect important pages
☐ Mobile experience works properly
☐ Important content is available as text
Content
☐ Pages answer real customer questions
☐ Content provides original value
☐ Information is accurate and current
☐ First-hand experience is included where relevant
☐ Important answers are easy to find
☐ Content isn’t unnecessarily repetitive
Brand & Entity
☐ Business name is clearly established
☐ Services are clearly explained
☐ Location/service areas are clear
☐ Team/expertise is explained
☐ Contact information is easy to find
☐ Business profiles are maintained
Structured Data
☐ Relevant structured data is implemented
☐ Markup matches visible content
☐ Structured data follows Google’s guidelines
☐ No unnecessary or misleading schema is added
Measurement
☐ Google Search Console is configured
☐ Analytics is configured
☐ Important conversions are tracked
☐ Organic traffic is monitored
☐ Leads—not just rankings—are measured
So, How Can a Business Get Found in AI Search?
There is no guaranteed formula.
And that’s actually a good thing.
The strongest approach is surprisingly familiar:
Build a technically accessible website.
Create genuinely useful content.
Answer real customer questions.
Demonstrate expertise and experience.
Make your business identity clear.
Connect related pages with internal links.
Keep local and business information accurate.
Use structured data appropriately.
Measure what brings actual business results.
Google’s current position is that the fundamentals of SEO remain the foundation for its AI search experiences. There are no special “AI hacks” required.
The Future of SEO Isn’t About Gaming AI
AI search is changing how people discover information, but it hasn’t changed the fundamental reason search engines exist:
To connect people with useful information.
The businesses most prepared for this change won’t necessarily be the ones publishing the most content or chasing every new GEO tool.
They’ll be the businesses that make their websites genuinely useful.
When someone asks:
“Who is this company?”
Your website should answer.
When they ask:
“What does this company do?”
Your website should answer.
When they ask:
“Can they solve my specific problem?”
Your website should answer.
When they ask:
“Why should I trust them?”
Your website should have evidence.
And when they’re finally ready to take action:
Your website should make that next step obvious.
That’s where modern SEO, AEO and GEO come together—not as separate hacks, but as a more clear, useful and user-focused approach to search visibility.
Frequently Asked Questions
What is AEO in SEO?
AEO stands for Answer Engine Optimization. It generally refers to structuring and creating content so that it can effectively answer questions in answer-oriented search experiences. Google, however, frames optimisation for generative AI search as part of SEO rather than requiring a separate optimisation system.
What is GEO in digital marketing?
GEO commonly means Generative Engine Optimization and refers to efforts aimed at improving visibility in generative AI search experiences. The term is increasingly used in the industry, but businesses should be cautious about claims of guaranteed GEO techniques. Google’s guidance recommends focusing on foundational SEO and helpful content.
Do I need special schema for Google AI Overviews?
No. Google says there are no additional technical requirements or special Schema.org structured data required specifically for AI Overviews or AI Mode. Existing SEO and structured-data best practices still apply.
Do I need an llms.txt file for AI search?
No special AI text file is required for Google Search’s AI features. Google’s current guidance specifically says that Google Search doesn’t require llms.txt or similar special files for this purpose.
Does traditional SEO still work for AI search?
Yes. Google says its generative AI search experiences are grounded in its existing Search systems, meaning technical accessibility, helpful content, relevance and other SEO fundamentals remain important.
Can AI-generated content rank in Google?
AI assistance itself isn’t automatically a problem. The important issue is whether the resulting content is helpful, reliable, original and compliant with Google’s Search policies. Producing large amounts of low-value content primarily to manipulate Search can violate Google’s spam policies.
