AI search concept with a glowing “AI” symbol surrounded by digital orbit lines on a red background, representing the rise of AI-powered search.

From ChatGPT to AI Overviews: How Search Behaviour Is Changing

September 24, 2026

by Disha Chheda with No Comment Uncategorized

For years, search was simple: type a few keywords into Google, scan the results and click through to a website.

Today, that journey is changing.

People can ask ChatGPT a detailed question, use Google’s AI Overviews to get a summary directly in Search, or continue a conversation with AI Mode. Instead of searching through several pages to piece together an answer, users increasingly expect search platforms to understand context, compare information and provide a useful response.

This shift is changing not only how people search, but also how brands need to approach SEO, content marketing and digital visibility.

So, what does the new search landscape look like?

The Evolution of Search

Search has continuously evolved with technology.

It started with simple directories and keyword-based search. Google then transformed the experience by making it easier to find relevant webpages based on a query.

The next major shift is conversational and AI-powered search.

Tools such as ChatGPT Search allow users to ask questions naturally and receive answers supported by web sources. Google has also integrated generative AI into Search through AI Overviews and AI Mode, creating a more conversational search experience. (OpenAI)

The difference is important.

Traditional search:
Query → Search results → Website → Information

AI-powered search:
Question → AI-generated response → Sources → Follow-up questions

Search is moving from finding information to understanding information.

What Are AI Overviews?

Google’s AI Overviews are AI-generated summaries that appear within Google Search for relevant queries.

Instead of presenting only a list of links, Google can provide an AI-generated response designed to help users understand a topic, with links that allow them to explore further. Google says AI Overviews are integrated with its core Search systems and are designed to help with more complex questions.

For example, instead of searching:

“best digital marketing strategies”

a user might ask:

“What digital marketing strategies should a small business use if it has a limited budget?”

The second query contains more context and intent.

AI-powered Search is designed to handle this kind of conversational and complex query.

ChatGPT Has Changed What People Expect From Search

ChatGPT has also contributed to the shift from keyword-based search towards conversational discovery.

With ChatGPT Search, users can ask questions in natural language and receive responses that incorporate current web information and links to relevant sources. Follow-up questions can continue within the same conversation, allowing users to explore a topic without starting a completely new search each time.

This creates a different search mindset.

Users don’t necessarily have to figure out the perfect keywords anymore.

They can simply ask.

And that has major implications for digital marketing.

Search Queries Are Becoming Longer and More Conversational

One of the clearest changes in search behaviour is the move towards detailed questions.

Google reported that early AI Mode users in India were asking queries 2–3 times longer than traditional searches. Google also said AI Mode was particularly useful for complex questions involving comparisons, planning and detailed how-to information.

Consider the difference:

Traditional Search

“Best cafes Mumbai”

Conversational Search

“What are some quiet cafes in Mumbai where I can work for three hours and get good coffee?”

The second query tells the search system much more about the user’s intent.

This means marketers need to understand search intent, not simply search volume.

From Keywords to Questions

Keywords will continue to matter, but the way people use them is evolving.

A strong SEO strategy can no longer focus only on individual keywords.

Brands should also understand:

What questions are customers asking?
What problems are they trying to solve?
What information do they need before making a decision?
What comparisons are they making?
What follow-up questions could they have?
What language do they naturally use?

This creates an opportunity for brands to build answer-focused content.

Instead of writing an article simply because a keyword has high search volume, marketers can build content around the entire information journey.

The Rise of Zero-Click Search

Another important change is the growing importance of zero-click search.

A user doesn’t always need to visit a website to get an answer anymore.

AI Overviews can provide information directly within Google Search, while AI search platforms can summarise information from multiple sources.

That creates a challenge for traditional SEO.

Historically, marketers often measured success through:

Ranking → Click → Website Visit

But AI search introduces another layer:

Search → AI Response → Brand/Source Mention → Possible Click

Google continues to provide links within its AI Search experiences, and in 2026 said its AI features were sending billions of clicks to websites each week. (blog.google)

So the website isn’t necessarily disappearing from the journey.

The journey to the website is changing.

SEO Is Not Dead. It Is Evolving.

Whenever a new search technology appears, one question comes up:

“Is SEO dead?”

The answer is more complicated than that.

SEO remains important because AI-powered search still relies heavily on information from the web. Google says its AI Search experiences continue to connect users with websites, original content and sources.

But SEO is expanding beyond traditional rankings.

Brands now need to think about:

Traditional SEO

Keywords
Technical SEO
Internal linking
Backlinks
Search rankings
Website experience

AI Search Optimisation

Clear answers
Topical authority
Original information
Strong brand signals
Structured content
First-hand expertise
Context-rich content
Source credibility

The goal is no longer simply to rank for a keyword.

It is to become a useful and credible source when someone asks a question about your industry.

Why Original Content Matters More

AI can generate huge amounts of generic content.

That makes originality more valuable.

If every website publishes the same five tips about digital marketing, AI-generated search experiences have less reason to surface one generic article over another.

Brands can differentiate themselves by publishing:

Original research
First-hand experiences
Expert opinions
Unique case studies
Proprietary data
Industry insights
Real examples
Original visuals and frameworks

Google has also introduced features intended to help users discover original content and preferred sources within AI Search.

For marketers, this reinforces an important principle:

Don’t just create more content. Create content worth discovering.

Search Is Becoming Multimodal

Search isn’t limited to typing anymore.

Google’s newer AI Search experiences allow users to interact using different forms of input, including text, images, files and videos.

This means the future of search can involve questions such as:

“What is this product?”
“How can I style this?”
“What does this chart mean?”
“Compare these two products.”
“Explain this image.”
“Find something similar.”

For brands, this creates another reason to think beyond text.

Images, videos, product information, social content and other digital assets can all become part of the discovery experience.

Social Search Is Part of the Bigger Picture

AI isn’t the only thing changing search.

Social platforms have also become discovery engines.

People use platforms such as Instagram, YouTube and TikTok to discover:

Products
Restaurants
Travel destinations
Trends
Creators
Beauty products
Fashion
Entertainment
Recommendations

This means consumers can now move between Google Search, AI Search and Social Search depending on what they are looking for.

The modern customer journey might look something like:

Instagram → Google → YouTube → ChatGPT → Brand Website → Purchase

There is no longer one universal search journey.

What Does This Mean for Brands?

The biggest change is that brands need to become discoverable across multiple search environments.

A website still matters.

SEO still matters.

But brands should also consider how they appear across:

Google Search
AI Search
Social Search
YouTube
Review platforms
Industry websites
Online communities
Digital publications

Your audience may encounter your brand before they ever visit your website.

That makes digital presence and brand authority increasingly important.

6 Ways Brands Can Prepare for AI Search

1. Create Content That Answers Real Questions

Start with your audience’s problems rather than just keywords.

Build content around the questions people actually ask.

2. Build Topical Authority

Instead of publishing unrelated articles, create connected content around the subjects your brand genuinely understands.

3. Add Original Insights

Give people something they cannot get from hundreds of generic AI-generated articles.

Use research, examples, data, experiences and expert perspectives.

4. Make Content Easy to Understand

Use:

Clear headings
Short paragraphs
Bullet points
FAQs
Definitions
Examples
Structured explanations

Make it easy for both people and search systems to understand your content.

5. Think Beyond Google Rankings

Track more than rankings and traffic.

Consider brand mentions, visibility across search experiences, citations, engagement and conversions as part of your broader digital strategy.

6. Keep Your SEO Foundations Strong

AI Search doesn’t eliminate the fundamentals.

A technically healthy website, useful content, strong internal linking and a trustworthy digital presence remain important parts of search visibility.

The Future of Search Is Conversational

The biggest change isn’t simply that AI has entered search.

It’s that the relationship between users and search engines is becoming more conversational.

Instead of asking:

“What should I search for?”

people can increasingly ask:

“Here’s what I’m trying to do. Help me figure it out.”

Google’s latest Search developments are moving toward a more conversational experience, while AI search tools such as ChatGPT are making natural-language research part of everyday information discovery.

This means search is becoming less about finding a page and more about finding an answer.

Final Thoughts

From Google’s traditional search results to ChatGPT Search and AI Overviews, the internet is entering a new era of discovery.

The search box isn’t disappearing.

It’s becoming smarter.

For marketers, this means SEO needs to evolve from a narrow focus on keywords and rankings into a broader strategy built around intent, authority, originality and discoverability.

The brands that understand what their audiences are asking, create genuinely useful answers and build credibility across digital platforms will be better positioned for the changing search landscape.

Because the future of search isn’t just about where you rank.

It’s about whether your brand becomes part of the answer.

AI Slop Is Everywhere. Here’s Why Authenticity Is Becoming a Competitive Advantage

September 4, 2026

by Disha Chheda with No Comment Uncategorized

The internet has never had more content.

And somehow, it has never felt more repetitive.

Scroll through social media and you will see polished captions that sound strangely familiar, generic AI-generated images, videos with the same hooks, recycled listicles and articles that technically answer a question but say nothing new.

Welcome to the age of AI slop.

As generative AI becomes part of everyday content creation, brands can now produce blogs, social posts, images, videos and advertisements faster than ever before.

But there is a problem.

When everyone can create more content, creating more content stops being the competitive advantage.

Instead, the brands that stand out will be the ones that feel human, distinctive and authentic.

What Is AI Slop?

“AI slop” is a term increasingly used online to describe low-quality, mass-produced or generic content created with the help of artificial intelligence.

AI itself isn’t the problem.

The problem is what happens when brands use AI to produce content without adding:

Original thinking
Human experience
Creativity
Context
Personality
Fact-checking
A clear point of view

The result is content that may be grammatically perfect but emotionally empty.

It answers the question.

It just doesn’t give you a reason to remember the answer.

And as AI-generated content becomes easier to produce, the internet risks becoming increasingly crowded with content that looks different but sounds exactly the same.

AI Has Solved the Content Problem. Or Has It?

For years, marketers complained about not having enough content.

Not enough blogs.

Not enough social posts.

Not enough videos.

Not enough campaign ideas.

Generative AI has changed that.

A marketer can now generate dozens of content ideas in minutes. AI can help write first drafts, analyse data, create variations, brainstorm headlines and accelerate production.

That’s a huge advantage.

But it also creates a new problem:

Content abundance.

When producing content becomes cheap and fast, the value shifts from production to differentiation.

Think about photography.

Everyone has a camera in their pocket today.

That didn’t make everyone a great photographer.

The same principle applies to AI.

Everyone can generate content. Not everyone can create something worth consuming.

Why Authenticity Is Becoming More Valuable

When audiences are surrounded by polished, predictable content, something imperfect can suddenly feel more interesting.

A founder speaking honestly about a business mistake.

A creator sharing an unscripted opinion.

A customer showing how they actually use a product.

A brand admitting that something didn’t work.

These moments can feel more believable because they don’t feel manufactured.

Authenticity creates something AI-generated content often struggles to replicate:

human connection.

People don’t just consume information.

They connect with stories, opinions, experiences and personalities.

And that’s where brands have an opportunity.

The Internet Is Becoming More Polished and Less Personal

There is an interesting contradiction happening online.

Technology is making content look better.

But sometimes, it is making content feel worse.

The same AI tools that can create beautiful visuals can also produce images that feel interchangeable.

The same tools that can write perfectly structured articles can produce paragraphs filled with generic observations.

The same tools that can create social captions can make every brand sound like the same brand.

You start seeing phrases such as:

“In today’s fast-paced digital world…”

“It’s important to note…”

“Here are five game-changing strategies…”

Again and again.

The problem isn’t that these sentences are incorrect.

It’s that they don’t sound like anyone.

And brands without a recognisable voice become increasingly difficult to remember.

Authenticity Doesn’t Mean Anti-Technology

This is an important distinction.

The answer isn’t to stop using AI.

AI can be an incredibly powerful tool for marketers.

It can help with:

Research
Brainstorming
Content planning
Data analysis
Transcription
Editing
Personalisation
Workflow automation
Content repurposing
Creative exploration

The difference is how you use it.

There is a big difference between:

“AI, write my entire brand campaign.”

and

“Here is our idea, audience insight and brand voice. Help us explore ten creative directions.”

The first replaces thinking.

The second accelerates thinking.

And that distinction will become increasingly important.

The Human Advantage

Ironically, the more AI-generated content we see, the more valuable human qualities become.

Experience

AI can summarise what people have said.

But your brand’s actual experience is unique.

A campaign you ran.

A customer problem you solved.

A mistake you made.

A lesson you learned.

These are difficult to replicate because they come from your real-world experience.

Perspective

Two brands can have access to the same information.

What separates them is what they think about it.

A strong point of view can turn an ordinary topic into compelling content.

Personality

Your audience should be able to recognise your brand without seeing the logo.

That comes from tone, humour, storytelling, opinions and distinctive creative choices.

Emotion

Data can tell you what happened.

A human story can tell you why it matters.

That emotional layer is often what turns content into something people remember.

Why Generic Content Is Becoming a Brand Problem

AI slop isn’t just an editorial problem.

It can become a branding problem.

Imagine a consumer discovering five brands in the same category.

Every brand uses identical AI-generated visuals.

Every caption uses the same tone.

Every Reel follows the same trend.

Every blog says the same things.

How does the consumer decide?

Usually, they look for something that feels real.

That could be:

A recognisable founder
A distinctive brand voice
Strong creative direction
Customer stories
Behind-the-scenes content
Original research
A unique opinion
Community interaction

In other words:

Authenticity becomes a differentiator.

The Rise of Human-Led Content

This is why we are seeing growing interest in formats that feel less polished and more personal.

Think:

Behind-the-scenes content

Show how something is actually made.

Founder-led content

Let people hear directly from the people behind the brand.

User-generated content

Let customers tell the story.

Employee-generated content

Give audiences a look inside the organisation.

Expert-led content

Put actual expertise behind your claims.

Unfiltered storytelling

Not everything needs to look like a television commercial.

These formats work because they provide something that generic content often doesn’t:

evidence of a human being behind the brand.

Authenticity Is Not the Same as Being Unpolished

There’s another misconception worth addressing.

Authenticity doesn’t mean posting badly shot videos, ignoring brand guidelines or publishing whatever comes to mind.

A brand can be highly strategic and still feel authentic.

The goal isn’t:

Perfect vs imperfect.

It’s:

Manufactured vs meaningful.

You can have excellent production, strong design and sophisticated marketing while still communicating like a real human.

Authenticity is about truth, transparency and distinctiveness, not poor execution.

How Brands Can Avoid Becoming Part of the AI Slop Problem

1. Use AI as a Starting Point, Not the Finish Line

AI can generate the first draft.

Your team should make it worth publishing.

Add examples, opinions, experiences and insights that couldn’t have come from a generic prompt.

2. Develop a Distinct Brand Voice

Define how your brand speaks.

Is it witty?

Direct?

Bold?

Warm?

Technical?

Conversational?

Your audience should be able to recognise your voice.

3. Create Original Insights

Don’t simply rewrite information that already exists online.

Publish:

Original research
Surveys
Case studies
Campaign learnings
Expert interviews
Industry observations
Proprietary data

Original information gives people a reason to choose your content over the hundreds of similar articles generated elsewhere.

4. Put People in Your Content

Your customers, employees, founders, creators and experts can make a brand feel more human.

People connect with people.

5. Have an Opinion

Safe content is forgettable content.

You don’t need to be controversial for the sake of being controversial.

But you should have something to say.

Instead of:

“Social media is changing rapidly.”

say what you actually believe about where it’s going.

A perspective gives your content a point of view.

6. Prioritise Quality Over Quantity

AI makes it tempting to publish more.

Resist that temptation.

One genuinely useful article can be more valuable than ten generic ones.

One memorable campaign can outperform dozens of forgettable posts.

The goal isn’t to fill the internet.

It’s to earn attention.

Authenticity Can Also Improve SEO

There is an important SEO angle here.

Search engines increasingly emphasise helpful, reliable, people-first content.

Google’s guidance encourages publishers to create original, useful content for people rather than content primarily designed to manipulate search rankings.

That means authenticity isn’t simply a branding trend.

It can support a stronger content strategy.

Original research, first-hand experience, expert commentary and genuinely useful information can give your content greater value than another generic article that simply summarises what already exists.

And as AI-powered search becomes more prominent, this becomes even more important.

If AI systems are selecting sources to help answer questions, brands need to give those systems something worth referencing.

Originality becomes discoverability.

The New Competitive Advantage

For years, brands competed on things like:

Budget.

Reach.

Technology.

Speed.

Now AI is making some of these advantages more accessible.

A small brand can use the same AI tools as a large brand.

A solo creator can generate content at a scale that once required a team.

A startup can produce polished creative without a huge production budget.

So what becomes difficult to copy?

A point of view.

A reputation.

A community.

A story.

Real experience.

Trust.

These are built over time.

And AI can’t simply generate them for you.

The Future Isn’t AI vs Humans

The future of marketing isn’t going to be about choosing between AI and human creativity.

It’s going to be about combining them intelligently.

AI can help brands move faster.

Humans decide where to go.

AI can analyse information.

Humans decide what it means.

AI can generate options.

Humans choose the idea worth pursuing.

AI can automate production.

Humans create the culture around the brand.

The winning formula isn’t:

AI instead of humans.

It’s:

AI + human creativity + authentic brand thinking.

In a World Full of AI, Be More Human

AI has made content creation easier than ever.

That means content itself is becoming less scarce.

Attention is still scarce.

And when audiences are exposed to an endless stream of generic content, the things that feel real become more valuable.

The brands that win won’t necessarily be the ones publishing the most.

They’ll be the ones with something genuinely worth saying.

So use AI.

Experiment with it.

Let it make your teams faster.

But don’t let it erase the thing that makes your brand different.

Because when everyone can create content with AI, authenticity might just become the most powerful competitive advantage of all.

Generative Engine Optimization and AI search strategy for brands

From SEO to GEO: How Brands Can Win in AI Search

September 4, 2026

by Disha Chheda with No Comment Uncategorized

For more than two decades, digital marketing has revolved around one question:

How do I get my brand to rank on Google?

Brands built websites, researched keywords, created backlinks and published content to compete for that coveted spot on page one.

But search is changing.

Today, consumers are increasingly asking AI-powered platforms for recommendations, comparisons, explanations and answers. Instead of browsing through ten blue links, they can ask an AI tool a question and receive a synthesised response based on information gathered from multiple sources.

That creates a new challenge for brands:

What happens when your customer doesn’t search for you on Google, but asks AI about you instead?

This is where Generative Engine Optimization, or GEO, enters the conversation.

What Is GEO?

Generative Engine Optimization (GEO) is the practice of improving a brand’s visibility across AI-powered search and answer experiences.

Traditional SEO focuses largely on helping search engines discover, understand and rank web pages.

GEO focuses on making a brand’s information easier for AI systems to understand, retrieve, reference and potentially cite in generated answers.

Think of the difference this way:

SEO: “How do I rank for this search?”

GEO: “How do I become a credible source when AI answers this question?”

The terminology is relatively new, but the underlying goal isn’t completely different.

Google’s own guidance makes this clear: SEO best practices continue to apply to generative AI search because Google’s AI search features use its existing Search systems to retrieve relevant information.

So GEO isn’t the death of SEO.

It’s the next layer of search visibility.

Why AI Search Is Changing Brand Discovery

Traditional search gives users a list of options.

AI search can give users a direct answer.

Imagine someone asks:

“What are the best digital marketing agencies in Mumbai for entertainment brands?”

A traditional search engine might return websites, directories, articles and business listings.

An AI-powered search experience could instead generate a shortlist, explain why each agency is relevant and reference information from across the web.

Suddenly, the competition isn’t simply about ranking for a keyword.

It’s about being considered a credible answer.

That changes the way brands need to think about digital visibility.

SEO vs GEO: What’s the Difference?

SEO and GEO have different immediate objectives, but they work together.

SEO	GEO
Optimises for traditional search	Optimises for AI-powered search experiences
Focuses on rankings and organic visibility	Focuses on mentions, citations and inclusion in AI answers
Targets search engine results pages	Targets AI-generated responses and summaries
Keyword and search-intent driven	Context, relevance and authority driven
Drives users to web pages	Can influence how AI describes or recommends a brand

But this isn’t an either-or decision.

Strong GEO starts with strong SEO foundations.

A technically weak, poorly structured website won’t suddenly become authoritative because a brand adds a few AI-focused tactics.

Google specifically recommends maintaining crawlability, technical SEO, clear site structure and helpful, people-first content for visibility in its generative AI search experiences.

The New Search Journey

The traditional customer journey looked something like:

Search → Click → Website → Research → Purchase

The AI-assisted journey can look more like:

Question → AI Answer → Recommendation → Validation → Purchase

This changes where brands need to establish credibility.

Your website still matters.

But so do the other places where information about your brand exists.

That includes:

Industry publications
News websites
Reviews
Interviews
Expert articles
Social platforms
Business directories
Creator content
Customer discussions
Third-party websites

The more consistent and credible your digital presence is, the easier it becomes for systems to understand who you are, what you do and why you are relevant.

How Can Brands Optimise for GEO?

There isn’t a magic GEO checklist that guarantees your brand will appear in every AI answer.

In fact, Google warns against chasing supposed AI-search “hacks” and emphasises valuable, original content instead.

However, brands can build a stronger foundation for AI search visibility.

1. Create Original, Expert-Led Content

AI systems have access to enormous amounts of information.

So why would they need another generic article saying:

“10 Digital Marketing Tips for Businesses”?

They don’t.

Brands need to create content that offers something distinctive.

That could be:

Original research
First-hand insights
Expert opinions
Case studies
Proprietary data
Unique perspectives
Industry analysis
Real examples

Google’s current guidance specifically recommends creating unique, useful, non-commodity content rather than simply rewriting information that already exists online.

The takeaway?

Don’t create more content. Create more valuable content.

2. Answer Real Questions

AI search is fundamentally conversational.

People don’t always search using short keywords anymore.

They ask complete questions.

Instead of:

“social media marketing agency Mumbai”

someone might ask:

“What should a Mumbai brand look for when choosing a social media marketing agency?”

Your content should anticipate those questions.

Create dedicated sections that clearly answer:

What is it?
Why does it matter?
How does it work?
Who is it for?
What are the benefits?
What are the limitations?
How much does it cost?
What should you consider before choosing it?

This makes your content useful to humans while also creating clear, structured information for search systems.

3. Build Topical Authority

One article rarely establishes expertise.

Imagine a digital marketing agency publishing one article about influencer marketing.

Now imagine that same agency publishing a complete knowledge ecosystem covering:

Influencer marketing
Creator strategy
UGC
Creator-led commerce
Social media strategy
Influencer measurement
Campaign optimisation
Creator selection
Social commerce

The second brand demonstrates much deeper topical knowledge.

This is why brands should think in terms of content ecosystems, not isolated blog posts.

4. Make Your Brand Easy to Understand

AI systems need to understand entities and relationships.

Your website should make basic information extremely clear.

Who are you?

What do you do?

Who do you serve?

Where are you based?

What industries do you specialise in?

What services do you offer?

Who are your experts?

What work have you done?

Consistency matters.

Your brand name, services, descriptions and key information should not contradict themselves across different platforms.

Clarity builds discoverability.

5. Strengthen Your Digital Authority

A brand shouldn’t rely entirely on its own website to establish credibility.

Third-party signals matter because AI search experiences can draw information from across the web.

Think about where your brand appears outside its own channels.

Are you mentioned in relevant publications?

Do customers review you?

Are your experts quoted?

Are your campaigns discussed?

Are your founders contributing to industry conversations?

Are credible websites referencing your work?

This isn’t about generating artificial mentions.

Google explicitly cautions against pursuing inauthentic mentions simply to influence AI-generated answers.

The goal is real authority, not manufactured authority.

6. Structure Content Clearly

Good structure helps both people and machines understand information.

Use:

Clear H1 and H2 headings
Short paragraphs
Descriptive subheadings
Lists where appropriate
Tables for comparisons
FAQs
Clear definitions
Supporting examples

But don’t over-engineer your content for AI.

Google says there is no requirement to break content into tiny pieces or rewrite content in a special format specifically for generative AI.

Write clearly because humans deserve clear content first.

7. Keep Your Information Fresh

AI search is increasingly being used for questions where freshness matters.

Consider queries around:

Current trends
Prices
Product features
Industry statistics
Regulations
Market developments
New technologies

Outdated information can hurt credibility.

Review important pages regularly and update statistics, examples, links and claims when necessary.

What About Keywords?

Keywords aren’t disappearing.

But the way we think about them needs to evolve.

Traditional SEO often starts with:

“What keyword should we rank for?”

GEO encourages a broader question:

“What questions is our audience asking?”

For example, instead of creating five separate articles around slightly different versions of:

“best digital marketing agency”

you might create a comprehensive resource answering:

“How to choose the right digital marketing agency for your brand.”

That resource can naturally address services, pricing, expertise, industries, campaign strategy, measurement and selection criteria.

You’re still using keywords.

You’re simply putting intent before keywords.

GEO Is Not About “Tricking” AI

As GEO becomes more popular, marketers are naturally looking for shortcuts.

But trying to manipulate AI systems with keyword stuffing, artificial mentions or low-quality mass-produced content is unlikely to create sustainable visibility.

Google’s current guidance specifically advises against creating large quantities of pages simply to manipulate rankings or generative AI responses.

The better approach is surprisingly familiar:

Be useful. Be credible. Be original. Be clear.

The difference is that now those principles matter across a much broader search ecosystem.

How Should Brands Measure GEO?

Traditional SEO gives marketers familiar metrics:

Rankings
Organic traffic
Click-through rate
Backlinks
Conversions

GEO introduces another layer.

Brands can start monitoring:

How frequently they appear in AI-generated answers
Whether AI platforms mention the brand for relevant queries
What descriptions are being used
Which competitors are being recommended
Which sources are being cited
Whether brand information is accurate
Referral traffic from AI platforms

Google also provides a Generative AI performance report in Search Console to help site owners understand how their content performs in Google’s generative AI experiences.

The important thing is to treat AI visibility as an additional discovery channel, not a replacement for existing SEO measurement.

The Biggest Mistake Brands Can Make

The biggest mistake isn’t ignoring GEO.

It’s treating GEO as a completely separate marketing discipline.

Your website, SEO, PR, social media, content marketing, influencer strategy and brand communications all contribute to your digital footprint.

If your website says one thing, your LinkedIn says another and third-party websites contain outdated information, you’re creating a fragmented brand presence.

The future of search rewards brands that are consistent across the ecosystem.

SEO Isn’t Dead. It’s Evolving.

Every major change in search creates the same question:

“Is SEO dead?”

We’ve heard it with social media.

We’ve heard it with voice search.

Now we’re hearing it with AI.

But the fundamentals remain remarkably consistent.

People still need useful information.

Search systems still need reliable sources.

Brands still need authority.

Websites still need to be discoverable.

What’s changing is how people consume the information once they find it.

Google’s current position is particularly important here: AI search still relies on core Search ranking and quality systems, meaning foundational SEO remains relevant.

So the future isn’t:

SEO → GEO

It’s:

SEO + GEO + Social Search + Brand Authority

The Future Belongs to the Most Discoverable Brands

Search is becoming less about a single results page and more about an interconnected digital ecosystem.

A customer might discover your brand through Google.

Ask an AI tool about you.

Watch your Instagram content.

Read a review.

See a creator recommendation.

Then visit your website.

Every one of those touchpoints contributes to the decision.

That means brands need to stop thinking only about where they rank and start thinking about how they are represented across the internet.

Because in the age of AI search, being visible isn’t enough.

Your brand needs to be understandable, credible and worth recommending.

That’s the real opportunity behind GEO.