Google Search is no longer just a page of blue links.
For many searches, Google can now provide an AI-generated response that combines information from multiple sources. Instead of opening several websites and putting the information together themselves, users can get a synthesized answer directly within Google.
Two of the most important developments behind this change are Google AI Overviews and AI Mode.
For website owners and SEO professionals, this creates a new question:
How do I make my website useful enough for Google to cite it in an AI-generated answer?
This has led to the growing popularity of GEO, or Generative Engine Optimization.
But there is a lot of confusion surrounding GEO.
Some people claim that websites need special AI markup. Others recommend creating llms.txt, stuffing pages with question-and-answer sections, or producing hundreds of pages targeting slightly different AI queries.
Google's own guidance points in a much more practical direction.
The fundamentals of SEO still matter.
Your website needs to be crawlable, indexable, useful, understandable and trustworthy. Your content should provide genuine value rather than simply repackage information that already exists everywhere else.
In this guide, we'll look at what Google AI Overviews and AI Mode mean for SEO in 2026 and, more importantly, what website owners can actually do to improve their chances of being discovered and cited.
What Are Google AI Overviews?
AI Overviews are AI-generated summaries that can appear within Google Search for eligible queries.
Instead of giving the user only a list of links, Google can provide a generated explanation and include links to webpages that support or expand on the information.
For example, imagine someone searches:
"What are the most common reasons a website isn't appearing on Google?"
An AI Overview might provide a summary covering issues such as:
- Pages not being indexed
noindexdirectives- Crawling problems
- Incorrect canonical URLs
- Poor internal linking
- Server errors
- Content quality problems
The generated response can then include links to relevant sources.
This changes the traditional search experience.
Previously, the primary goal was often:
Rank as high as possible for the query.
With AI-generated search experiences, there is another opportunity:
Provide information that Google can use when constructing an answer.
These two goals overlap, but they aren't exactly the same.
What Is Google AI Mode?
AI Mode is a more conversational search experience.
Instead of treating each search as an isolated query, users can explore a topic through follow-up questions and increasingly detailed requests.
For example:
User:
What is technical SEO?
↓
AI Mode:
Explains technical SEO
↓
User:
Which technical SEO problems affect indexing?
↓
AI Mode:
Explains indexing-related problems
↓
User:
How can I check those problems on my website?
↓
AI Mode:
Provides a workflow and potentially references relevant sources
This creates a different kind of opportunity for websites.
Your page doesn't necessarily need to answer every possible question in the conversation.
It may be useful because it contains the best explanation, data, example or evidence for one particular part of the user's research journey.
That is an important concept for GEO.
Is SEO Still Important for AI Search?
Absolutely.
One of the biggest misconceptions surrounding GEO is that traditional SEO has somehow become obsolete.
It hasn't.
Google's guidance explains that its generative AI search experiences are built on its existing Search systems and that established SEO fundamentals remain important.
A simplified way of looking at the process is:
Website
↓
Crawling
↓
Indexing
↓
Search eligibility
↓
Understanding + relevance
↓
Retrieval
↓
AI-generated response
↓
Potential citation
If Google cannot crawl your website, it becomes difficult for Google to understand the content.
If important pages aren't indexed, they have limited opportunity to appear in Search.
If the content isn't useful or relevant, technical accessibility alone won't make it a valuable source.
GEO therefore shouldn't be treated as a replacement for SEO.
A better way to think about it is:
GEO is about making your existing SEO and content strategy work in an environment where search engines can synthesize information from multiple sources.
What Does "Being Cited" by AI Search Actually Mean?
Traditional search primarily asks:
Which webpages should appear for this query?
An AI-generated answer has a slightly different challenge:
Which information should be used to construct a useful answer?
Consider this search:
"How can I determine whether my website has indexing problems?"
A useful AI-generated response could require several types of information:
- Google's documentation explaining indexing
- A technical explanation of
noindex - Information about XML sitemaps
- An explanation of canonical URLs
- A practical troubleshooting workflow
Different websites may provide different pieces of that answer.
One page might be cited because it explains Google's official requirements.
Another might be cited because it provides an excellent troubleshooting guide.
Another might provide original research or a useful example.
This means your objective shouldn't simply be:
"Make Google mention my brand."
The better objective is:
Create information that has a genuine reason to be referenced.
The Most Important GEO Principle: Create Something Worth Citing
This sounds obvious, but it is probably the most important piece of advice in this entire article.
The web already contains millions of articles explaining:
- What SEO is
- What a meta description is
- What backlinks are
- What keyword research is
- What Core Web Vitals are
Writing another generic explanation doesn't automatically make your page valuable.
Before creating an article, ask:
What does this page add?
The answer could be:
- Original research
- A new dataset
- First-hand experience
- A case study
- An experiment
- A detailed comparison
- Screenshots
- Real examples
- Expert analysis
- A practical workflow
- A calculator
- A checklist
- A unique visualization
For example, instead of writing:
"Broken links are bad for SEO."
Create an actual study:
"We analyzed 25,000 websites and found that 14.8% contained at least one broken internal link."
If you genuinely performed the analysis, you've created something that other websites may want to reference.
That is much more valuable than rewriting the definition of a broken link.
1. Answer the Main Question Early
One common problem with SEO articles is that the actual answer is buried under a long introduction.
Don't do that.
If your article is titled:
"How Long Does Google Take to Index a New Website?"
answer the question near the beginning.
For example:
There is no fixed indexing time for a new website. Google may discover some pages quickly, while others can take considerably longer depending on factors such as crawlability, internal linking, sitemap availability and Google's crawling systems.
Then explain the details.
This approach is better for humans and makes the information on the page easier to understand.
2. Write About Topics Instead of Obsessing Over Keywords
Older SEO strategies often encouraged creating pages around every possible keyword variation.
That can quickly become a problem.
Imagine creating these pages:
what-is-technical-seo
technical-seo-definition
technical-seo-meaning
technical-seo-explained
what-does-technical-seo-mean
technical-seo-guide
If all six pages contain essentially the same information, you've created unnecessary duplication.
Instead, build one genuinely useful resource.
Then create separate pages for topics that deserve their own treatment:
Technical SEO Guide
↓
├── JavaScript SEO
├── Crawlability
├── Indexing
├── Canonical URLs
├── Robots.txt
├── XML Sitemaps
└── Core Web Vitals
This creates a stronger topical structure.
Google has also made clear that there isn't a special requirement to break content into tiny sections or write a particular number of words for AI search.
Write enough to satisfy the user.
Don't write another 2,000 words simply because an SEO tool says the competing page has 3,500.
3. Add Original Information
This is one of the best ways to differentiate your content from generic AI-generated articles.
Suppose you're writing about website speed.
A generic article might explain:
- LCP
- INP
- CLS
- caching
- image optimization
A better article could show:
Before optimization
LCP: 4.2 seconds
INP: 280 ms
CLS: 0.21
After optimization
LCP: 1.8 seconds
INP: 145 ms
CLS: 0.04
Then explain exactly what changed.
That is useful because the reader isn't just receiving definitions.
They're seeing an actual experience.
The same principle can be applied to almost any SEO topic.
4. Use First-Hand Experience
First-hand information is difficult to replace with generic content.
If you've actually audited websites, built websites, fixed indexing problems, analyzed Search Console data or run SEO experiments, show what you learned.
For example:
SEO Audit Example
Website:
Pages crawled:
Pages indexed:
Major technical issues:
Broken links:
Duplicate titles:
Missing descriptions:
Canonical issues:
Performance problems:
Then explain what you found.
Include screenshots where appropriate.
Explain mistakes.
Explain unexpected results.
Explain what worked and what didn't.
These details make an article feel like it was written by someone who actually did the work.
5. Make Important Claims Verifiable
Be careful with absolute statements.
For example:
"More backlinks always improve rankings."
This is an unnecessarily broad claim.
A better explanation would be:
"Links can contribute to search visibility, but their value depends on factors such as relevance, quality and context. Search rankings aren't determined by backlink count alone."
When making technical claims, link to primary sources where useful.
For Google-related topics, that often means using:
- Google Search Central
- Google Search Console documentation
- Official Google announcements
- Google's developer documentation
For Bing-related topics:
- Bing Webmaster documentation
- Microsoft announcements
- Official Bing documentation
For technical standards:
- Official specifications
- Developer documentation
- Original research
Primary sources should generally be preferred over websites that merely repeat somebody else's interpretation.
6. Build Strong Topic and Entity Relationships
Modern search isn't simply about matching a keyword string.
Search systems need to understand what a page is about and how different concepts relate to one another.
For example:
SEOVally
│
├── SEO platform
│
├── Website auditing
│
├── Technical SEO
│
├── Keyword analysis
│
├── Backlink analysis
│
└── AI search optimization
Your website should communicate these relationships naturally.
A page about a company should make it clear:
- What the company is
- What the product does
- Who it is for
- What problems it solves
- How the different features relate to each other
Don't turn this into keyword stuffing.
Clear explanations are more important than repeating the same phrase.
7. Don't Treat Structured Data as a GEO Hack
Structured data remains useful.
It can help Google understand the content and structure of a webpage and can make pages eligible for certain search features.
But there is no magic "AI ranking schema."
You shouldn't create fictional or unnecessary structured data because somebody claims it will make Google cite your page.
Use structured data when it accurately describes the content.
For example, depending on the page, this could include appropriate types such as:
- Article
- BreadcrumbList
- Organization
- Product
- FAQPage where applicable
- SoftwareApplication where applicable
The important principle is accuracy.
Structured data should describe your page, not attempt to manipulate Google's understanding of it.
8. Does llms.txt Help With Google AI Search?
The llms.txt file has received considerable attention in the GEO industry.
The proposed idea is to give AI systems a structured summary of a website's important content.
However, there is an important distinction:
llms.txtis not required by Google for Google Search or Google's generative AI features.
Google's current documentation does not identify llms.txt as a requirement for appearing in AI Overviews or AI Mode.
Therefore, don't treat it as an AI-search ranking switch.
If you decide to implement llms.txt for another purpose, that's a separate technical decision.
But don't expect simply creating:
https://example.com/llms.txt
to suddenly make the website appear in Google AI results.
9. Technical SEO Still Matters
A beautiful article is useless if search engines can't properly access it.
Before worrying about GEO, check the fundamentals.
Crawling
Can Googlebot access the important pages?
Indexing
Are your valuable pages actually indexed?
Robots.txt
Are you accidentally blocking important content?
Noindex
Are valuable pages carrying a noindex directive?
Canonicals
Are canonical URLs correctly configured?
Internal Links
Can important pages be discovered through normal navigation?
Rendering
Is the important content available when search engines process the page?
HTTP Status Codes
Are important pages returning successful responses?
XML Sitemap
Does your sitemap contain the canonical URLs you want indexed?
Site Architecture
Can users and search engines understand how your content fits together?
These aren't glamorous GEO tricks.
They're much more important than most GEO tricks.
10. Create Content That Can Be Used as Evidence
Think about why journalists, bloggers and researchers link to websites.
They usually aren't linking because a page contains 4,000 words.
They're linking because the page contains something useful.
For example:
- Original statistics
- Research
- A benchmark
- A technical explanation
- A useful table
- A unique chart
- A study
- A practical example
- A detailed comparison
Consider creating these assets deliberately.
For example:
Common Technical SEO Problems
| Problem | Example | Potential Impact | Recommended Action |
|---|---|---|---|
noindex |
Important page blocked from indexing | High | Remove unintended directive |
| Broken internal link | Link returns 404 | Medium | Replace or remove link |
| Wrong canonical | Canonical points elsewhere | High | Correct canonical |
| Missing sitemap | Important URLs not discoverable through sitemap | Medium | Generate/update sitemap |
| Slow page | Poor loading performance | Medium | Optimize resources |
A useful resource like this can become something other websites reference.
11. Don't Create Hundreds of Pages Just for AI Search
This is particularly important for websites that automatically generate content.
Imagine you create a page for every imaginable query:
SEO for dentists
SEO for dentists in 2026
SEO for dentists with AI
SEO for dentists with ChatGPT
SEO for dentists with Gemini
SEO for dentists with AI Overviews
SEO for dentists with AI Mode
If these pages contain almost the same content, you've created a large collection of low-value pages.
The same problem can occur with automated website-analysis pages.
A URL such as:
/site/example.com
shouldn't simply display a collection of numbers:
SEO Score: 72
Speed: 81
HTTPS: Yes
Meta Description: Yes
H1: Yes
That data can be useful, but the page becomes much more valuable when it explains what the findings mean.
For example:
What We Found
Example.com has a solid technical foundation, but several pages have duplicate title tags and a number of internal links lead to missing URLs.
Highest-Priority Issues
- 18 duplicate title tags
- 7 broken internal links
- 4 pages with incorrect canonical references
Why It Matters
Explain the practical consequences.
How to Fix It
Provide actionable recommendations.
This transforms a raw automated report into a useful resource.
12. Don't Chase Artificial AI Mentions
The GEO industry has created a new type of marketing promise:
"We'll get your brand mentioned by AI."
Be skeptical.
Artificially generating hundreds of low-quality mentions doesn't automatically create authority.
A better strategy is:
Useful research
↓
Original content
↓
People discover it
↓
People reference it
↓
Other websites link to it
↓
Your information becomes more widely recognized
It takes longer.
But it creates a much stronger foundation.
13. Use Images, Screenshots and Video When They Add Value
AI search isn't only about text.
A technical explanation can often be much easier to understand with a screenshot.
For example, an article about Google Search Console could show:
- The Performance report
- Indexing reports
- URL Inspection
- Search queries
- AI-related reporting where available
An article about technical SEO could show:
- robots.txt
- HTTP response headers
- canonical tags
- sitemap files
- PageSpeed results
The important point is:
Don't add images simply because an SEO checklist says every article needs an image.
Use visuals when they make the information easier to understand.
14. Think About Search Intent
A page should satisfy the reason someone searched.
Consider three queries:
"What is GEO?"
The user wants an explanation.
"GEO tools"
The user is probably evaluating tools.
"How do I improve AI search visibility?"
The user wants actionable guidance.
These should not necessarily lead to identical pages.
A useful GEO strategy starts with understanding the underlying question.
15. Optimize for Follow-Up Questions
AI Mode makes conversational search more important.
Imagine a user begins with:
"What is technical SEO?"
The next questions could be:
"What technical SEO issues affect indexing?"
Then:
"How can I find those issues?"
Then:
"Can you show me an example?"
A strong content strategy anticipates these natural follow-up questions.
But that doesn't mean creating a separate page for every question.
Instead, create a well-structured content ecosystem.
For example:
Technical SEO Guide
│
├── Indexing Problems
│
├── Robots.txt
│
├── Canonical URLs
│
├── JavaScript SEO
│
└── SEO Audit
Strong internal linking connects these resources.
16. Original Data Can Become Your Biggest Advantage
If you operate an SEO platform, you have an enormous opportunity.
You can potentially analyze real websites and publish aggregated findings.
For example:
"We analyzed 100,000 webpages and found that..."
Or:
"These were the most common technical SEO issues detected in our latest dataset."
Or:
"We analyzed 10,000 websites to see how frequently important pages had canonical problems."
Only publish statistics that you have genuinely measured.
Don't manufacture numbers.
If you have real data, however, this can become one of the strongest forms of content on an SEO website.
Why?
Because another generic article can be rewritten.
A unique dataset cannot simply be rewritten without losing the underlying research.
17. Build Pages That Answer Questions Better Than Existing Results
Before publishing an article, search for the topic yourself.
Look at the current results and ask:
What is already covered well?
Don't waste time repeating it.
What is missing?
That is an opportunity.
Are there contradictions?
Explain them.
Are examples missing?
Add examples.
Is the official documentation difficult to understand?
Translate it into a practical workflow without changing its meaning.
Can you test something yourself?
Run the experiment.
This creates a much stronger content-development process than simply asking an AI model to "write a 2,500-word article."
How to Build an AI-Search-Friendly Article
A practical structure could look like this:
Title
↓
Short answer
↓
Detailed explanation
↓
Examples
↓
Original data / experience
↓
Supporting evidence
↓
Practical recommendations
↓
Related questions
↓
Conclusion
Not every article needs exactly this structure.
The structure should follow the subject.
But the principle is consistent:
Give the reader the information they came for, then help them understand what to do with it.
A Practical GEO Workflow for 2026
Here's a process you can use for almost any important article.
Step 1: Identify a real problem
Start with the user rather than the keyword.
Ask:
What is this person actually trying to accomplish?
Step 2: Research the topic
Review:
- Google's official documentation
- Bing's official documentation
- Existing search results
- Industry research
- Primary sources
- Relevant examples
Step 3: Find the information gap
Ask:
What can I provide that isn't already adequately explained?
Step 4: Add original value
Choose one or more:
- Research
- Data
- Experiment
- Case study
- Screenshots
- Examples
- Expert analysis
- Tool
- Checklist
Step 5: Make the page technically accessible
Check:
- Crawlability
- Indexability
- Canonical
- Internal links
- Sitemap
- Rendering
- Performance
Step 6: Write naturally
Don't force keywords into every paragraph.
Use the terminology a knowledgeable human would naturally use.
Step 7: Support important claims
Link to primary sources where appropriate.
Step 8: Add useful visuals
Use screenshots, diagrams, charts or video when they genuinely improve the article.
Step 9: Connect the article to related content
Build internal links to relevant guides and tools.
Step 10: Measure and improve
Monitor your search performance.
Look at:
- Search impressions
- Clicks
- Queries
- Pages
- CTR
- Changes over time
- Generative AI visibility where reporting is available
Then improve the content based on evidence.
How to Measure Google AI Search Visibility
Historically, one of the biggest problems with GEO was measurement.
People could ask an AI system:
"What websites are recommended for SEO?"
and manually record the results.
That's not a reliable measurement system.
Google has increasingly introduced reporting for generative AI search experiences through Search Console, giving site owners better visibility into how their content performs across Google's newer search experiences.
This makes actual first-party search data much more useful.
Instead of asking:
"Does ChatGPT know my brand?"
ask questions such as:
- Which pages are receiving search visibility?
- Which queries are driving impressions?
- Which pages are gaining visibility?
- Which topics are growing?
- Are AI-related impressions changing?
- Are clicks changing along with impressions?
AI visibility should become another part of your overall search measurement strategy.
It shouldn't replace traditional SEO reporting.
A GEO Checklist for Website Owners
Before publishing an important page, run through this checklist.
Content
- [ ] Does the page solve a real user problem?
- [ ] Is the information accurate?
- [ ] Does it provide something original?
- [ ] Does it contain useful examples?
- [ ] Are important claims supported?
- [ ] Is the content current?
- [ ] Does the page demonstrate genuine expertise or experience?
Technical SEO
- [ ] Can Google crawl the page?
- [ ] Is the page indexable?
- [ ] Is the canonical correct?
- [ ] Is the page internally linked?
- [ ] Is the URL included appropriately in the sitemap?
- [ ] Does the important content render correctly?
- [ ] Are there unnecessary redirects or errors?
User Experience
- [ ] Is the answer easy to find?
- [ ] Are headings descriptive?
- [ ] Are paragraphs readable?
- [ ] Are tables useful?
- [ ] Are screenshots or diagrams helpful?
- [ ] Is unnecessary filler removed?
GEO
- [ ] Does the article provide information worth citing?
- [ ] Does it contain original evidence?
- [ ] Are important entities and concepts explained clearly?
- [ ] Are related topics linked naturally?
- [ ] Are you avoiding keyword stuffing?
- [ ] Are you avoiding mass-produced near-duplicate pages?
- [ ] Are you avoiding unsupported GEO "hacks"?
Common GEO Myths in 2026
Myth 1: You need special GEO markup
There is no special Google markup that guarantees inclusion in AI Overviews or AI Mode.
Use valid structured data where appropriate, but don't expect a special "AI schema" to solve your visibility problem.
Myth 2: You need llms.txt
You don't need llms.txt to appear in Google AI search.
Google's current documentation does not require it for Search or its generative AI features.
Myth 3: Longer articles automatically win
There is no magic word count.
A useful 1,500-word article can be much better than a padded 5,000-word article.
Myth 4: You need to answer every possible question separately
Creating hundreds of pages targeting tiny variations of the same query can make a website worse, not better.
Build useful topic coverage instead.
Myth 5: Keyword density determines AI citations
There is no ideal keyword density for AI search.
Write naturally and make the topic clear.
Myth 6: Getting mentioned by AI is the same as ranking
It isn't.
Traditional organic rankings, AI visibility, citations, mentions and referral traffic are related but different measurements.
Myth 7: GEO replaces SEO
It doesn't.
For Google, strong technical SEO and high-quality content remain the foundation.
Google AI Search vs Traditional SEO
| Traditional SEO | AI Search / GEO |
|---|---|
| Focuses heavily on search rankings | Focuses partly on inclusion in generated responses |
| User chooses from search results | AI may summarize information first |
| Ranking position is a major metric | Citations and AI visibility can become additional metrics |
| Keyword targeting is common | Topic and entity understanding become increasingly important |
| Links are an important authority signal | Original information can provide strong citation value |
| Search snippets are important | Information may be synthesized into an answer |
| Technical SEO matters | Technical SEO still matters |
| Content quality matters | Content quality still matters |
The important point is that these aren't two completely separate worlds.
They're increasingly connected.
The Future of SEO Is Not "SEO vs GEO"
The industry sometimes frames the change as:
Old SEO
↓
Dead
↓
GEO
That's an oversimplification.
A more realistic model is:
Technical SEO
+
Useful Content
+
Authority
+
Original Information
+
Strong Site Structure
+
Good User Experience
+
AI Search Visibility
The fundamentals remain.
The search interface is changing.
What Website Owners Should Do Now
If you're trying to prepare a website for Google AI Overviews and AI Mode, don't start by installing every GEO tool you can find.
Start with the basics.
First
Make sure important pages are crawlable and indexable.
Second
Improve your existing content.
Remove pages that exist only to target keyword variations.
Third
Create original information.
Conduct research.
Run experiments.
Publish data.
Share first-hand experience.
Fourth
Build topic depth.
Create strong cornerstone resources and connect them with relevant supporting articles.
Fifth
Improve your technical SEO.
Fix:
- Indexing problems
- Canonical issues
- Broken links
- Rendering problems
- Sitemap issues
- Unnecessary redirects
Sixth
Measure the results.
Use Search Console and other reliable sources of search data rather than relying entirely on third-party GEO scores.
The Real Goal: Become a Source, Not Just a Search Result
The biggest change brought by AI search isn't that Google stopped using websites.
It's that Google can now use information from multiple websites to construct a response.
That creates a new opportunity for publishers.
Your page doesn't necessarily have to provide the entire answer.
It might provide:
- The original research
- The best explanation
- A useful statistic
- A unique experiment
- A technical solution
- A product comparison
- A real-world case study
- A trustworthy reference
That's what makes a page worth citing.
So instead of asking:
"How can I trick Google AI into mentioning my website?"
ask:
"What can I publish that Google would have a genuine reason to cite?"
That question leads to a much better SEO strategy.
And interestingly, it also leads back to the fundamentals that have always mattered:
Create something useful.
Make it accessible.
Explain it clearly.
Support it with evidence.
Keep it accurate.
Give people a reason to trust it.
That's the GEO strategy that makes the most sense in 2026.
Frequently Asked Questions
Do I need GEO-specific SEO to appear in Google AI Overviews?
No special GEO optimization system is required. Google's generative AI features are built on its existing Search systems, so traditional SEO fundamentals remain important.
Does llms.txt help a website appear in Google AI Overviews?
Google does not require llms.txt for Google Search or its generative AI features. It should not be treated as a requirement for AI visibility.
Is there special schema markup for Google AI Mode?
There is no special AI schema that guarantees visibility in AI Mode. Continue using appropriate structured data that accurately describes your content.
Does longer content perform better in AI search?
There is no magic word count.
Write enough to answer the user's question properly and remove unnecessary filler.
Should I create a separate article for every AI-search query?
No.
If multiple queries have essentially the same intent, one strong resource is generally more useful than many near-identical pages.
Can a page appear in AI search without ranking #1 traditionally?
AI-generated search experiences can use information from multiple sources, so traditional ranking position should not be treated as a simple guarantee of AI citation.
The two forms of visibility are related but not identical.
How can I measure my Google AI visibility?
Use Google Search Console and its available generative AI performance reporting alongside your normal Search performance data.
Track changes over time rather than relying on one-off manual AI searches.
Does being indexed guarantee an AI citation?
No.
Indexing is an important prerequisite, but being indexed doesn't mean Google will use a particular page as a source for every relevant AI-generated response.
Relevance, quality and the specific context of the query still matter.
Is GEO replacing SEO?
No.
For Google, GEO is better understood as a way of thinking about visibility within generative search experiences while continuing to apply strong SEO fundamentals.
Final Takeaway
Google AI Overviews and AI Mode are changing how people interact with search.
But the fundamental question for website owners hasn't changed as much as the industry sometimes suggests.
People still want:
Accurate information.
Useful answers.
Trustworthy sources.
Original insights.
Good websites.
The difference is that Google can now synthesize information from those websites and present it directly to the user.
That means your goal shouldn't be to create content specifically designed to manipulate an AI system.
Your goal should be to create content that is so useful, specific and trustworthy that it has a legitimate reason to be included as a source.
In 2026, the strongest GEO strategy is therefore surprisingly familiar:
Build a website that deserves to be found—and make it technically easy for Google to understand.