Posted on January 30, 2026 by Kodo Gen — Leave a comment

Chatbots vs AI Agents: Which Is Better for Customer Engagement in 2026?

Customer engagement in 2026 looks very different from even two years ago. Users no longer want scripted replies, long wait times, or generic “How can I help you?” pop-ups. They expect brands to understand context, remember preferences, and guide them toward outcomes with minimal friction.

This shift has pushed businesses to rethink automation. The conversation has now moved beyond traditional chatbots to a more advanced alternative: AI agents.

But here’s the real question brands are asking in 2026:
Are chatbots still enough, or are AI agents the future of customer engagement?

The answer isn’t as simple as replacing one with the other. It depends on how customers behave today, how AI-driven search and decision-making works, and what kind of engagement actually drives trust and conversions.

Let’s break this down clearly.

The Evolution of Customer Engagement

Customer engagement used to be reactive. A user had a question, and support responded.

Then came chatbots. They reduced response times, handled FAQs, and offered basic automation. For a while, that was enough.

But engagement in 2026 is no longer just about answering questions. It’s about:

Anticipating intent
Guiding decisions
Reducing effort
Creating continuity across touchpoints

This is where the difference between chatbots and AI agents becomes critical.

What Chatbots Really Are (in 2026 Terms)

A chatbot is a rule-based or semi-intelligent conversational interface designed to respond to predefined inputs.

Even in 2026, most chatbots still operate within boundaries like:

Pre-set flows
Keyword recognition
Menu-based navigation
Limited memory

Modern chatbots are faster and slightly smarter than earlier versions, but their core function remains the same: reacting to user input.

They are good at:

Answering common questions
Sharing static information
Routing users to the right page
Handling basic support tasks

However, they struggle when conversations become complex or when users don’t follow expected paths.

What AI Agents Actually Are

AI agents represent a fundamental shift.

An AI agent is not just a conversational interface. It is a goal-oriented system that can reason, plan, remember, and take actions across tools and platforms.

In practical terms, an AI agent can:

Understand intent, not just keywords
Maintain context across conversations
Pull data from multiple systems
Make decisions based on user behavior
Adapt responses over time

Instead of asking, “What can I help you with?”, an AI agent often already knows why the user is there.

That difference alone changes how engagement feels.

Engagement vs Interaction: The Key Distinction

One of the biggest mistakes brands make is confusing interaction with engagement.

Chatbots are great at interaction.
AI agents are built for engagement.

Interaction is transactional.
Engagement is relational.

In 2026, customers reward brands that:

Reduce cognitive load
Feel personalized without being creepy
Help them decide faster
Stay consistent across channels

This is where AI agents start to outperform traditional chatbots.

How Users Behave Differently in 2026

To understand which is better, we need to look at how users behave today.

Search, discovery, and engagement are now:

Conversational
Contextual
Multi-step
Influenced by AI-driven recommendations

Users expect the same intelligence from brand interactions that they get from AI search assistants.

When a user asks:
“Which plan is right for my business?”

They don’t want:

A pricing page link
A list of features
A generic sales pitch

They want:

Guidance based on their situation
Clear trade-offs
A recommendation they can trust

Chatbots struggle here. AI agents excel.

Where Chatbots Still Make Sense

Despite their limitations, chatbots are not obsolete.

In 2026, chatbots are still effective for:

High-volume, low-complexity queries
FAQ-driven industries
Simple booking or scheduling
Internal workflows

If your primary engagement goal is cost reduction, chatbots still deliver value.

They are also easier to deploy, cheaper to maintain, and simpler to control.

Where AI Agents Clearly Win

AI agents shine when engagement requires:

Context awareness
Personalization
Multi-step reasoning
Decision support

Examples include:

E-commerce product guidance
Financial service onboarding
Travel planning
SaaS onboarding and retention
Healthcare or wellness journeys

In these scenarios, AI agents don’t just respond. They guide.

The Role of Memory in Engagement

Memory is one of the biggest differentiators in 2026.

Chatbots usually treat each session as new.
AI agents can remember past interactions, preferences, and behaviors.

This allows AI agents to:

Avoid repetitive questions
Build continuity
Improve recommendations over time

For users, this feels like a relationship rather than a transaction.

AEO Perspective: Why AI Agents Align Better with Answer Engines

Answer Engine Optimization (AEO) focuses on helping AI systems deliver direct, reliable answers to users.

AI agents are naturally aligned with this shift because:

They structure responses around user intent
They break complex decisions into understandable steps
They prioritize clarity over verbosity

Chatbots, on the other hand, often rely on rigid flows that don’t adapt well to conversational search patterns.

As AI-driven discovery grows, systems that think in “answers” rather than “responses” perform better.

SEO Perspective: Engagement Signals Matter More Than Ever

In 2026, SEO is no longer just about ranking pages. It’s about engagement quality.

Search engines increasingly reward:

Time spent
Task completion
Reduced pogo-sticking
Satisfied intent

AI agents help improve these signals by:

Keeping users engaged longer
Helping them reach outcomes faster
Reducing confusion and drop-offs

Chatbots may bring users in, but AI agents help keep them there.

Trust and Transparency in Automated Engagement

One concern many brands have is trust.

AI agents must be designed carefully to:

Avoid hallucinations
Stay within brand guidelines
Be transparent when unsure

When done right, AI agents actually increase trust because they:

Explain reasoning
Offer options, not absolutes
Admit limitations

This human-like honesty resonates strongly with users in 2026.

Cost vs Value: A Practical Consideration

Chatbots are cheaper to build and run.
AI agents require more investment in data, integration, and design.

But value isn’t just about cost. It’s about outcomes.

AI agents often lead to:

Higher conversion rates
Better lead qualification
Reduced human support escalation
Improved customer satisfaction

For many brands, the ROI justifies the complexity.

The Hybrid Model Is the Real Winner

The smartest brands in 2026 aren’t choosing one over the other.

They use:

Chatbots for quick, simple interactions
AI agents for deeper engagement and decision support

This layered approach balances efficiency with experience.

What This Means for Brands in 2026

Customer engagement is no longer about being available. It’s about being useful at the right moment.

Brands that rely only on chatbots risk feeling outdated and transactional.
Brands that implement AI agents thoughtfully create experiences that feel intuitive, helpful, and trustworthy.

The future of engagement belongs to systems that understand, not just respond.

Final Verdict: Which Is Better in 2026?

Chatbots are still useful.
AI agents are transformative.

If your goal is:

Speed → Chatbots
Cost control → Chatbots
Basic support → Chatbots

If your goal is:

Engagement → AI agents
Personalization → AI agents
Conversion → AI agents
Long-term trust → AI agents

In 2026, AI agents define the next era of customer engagement.

Posted on January 28, 2026 by Kodo Gen — Leave a comment

Micro-Moments in 2026: Capturing “Near Me” & “Best for Me” Searches with Helpful Content

Search in 2026 doesn’t start with keywords.
It starts with intent.

People no longer search the way they used to. They don’t type long queries, browse ten links, and slowly decide. Instead, they pull out their phone and ask direct, urgent questions like:

“Best cafe near me right now”
“Best agency for Instagram ads”
“Affordable laptops for work”
“Which brand should I trust?”

These are micro-moments. And they are shaping how brands get discovered, trusted, and chosen.

At Kodo Kompany, we see micro-moments as the bridge between search visibility and real business outcomes. This blog breaks down what micro-moments look like in 2026, why “near me” and “best for me” searches matter more than ever, and how brands can create content that actually shows up when intent is highest.

What Are Micro-Moments (In Simple Terms)?

A micro-moment is a high-intent search that happens in real time.

It’s the moment when a user:

Needs something
Wants something
Is ready to act
Expects an immediate answer

These moments are short, urgent, and decisive.

If your brand is visible and helpful in that moment, you win.
If not, the user moves on instantly.

Why Micro-Moments Matter More in 2026

In 2026, three big shifts make micro-moments unavoidable:

1. Mobile-First Is Now Intent-First

People search when they need, not when they browse. Most micro-moments happen on mobile.

2. AI-Powered Search Rewards Relevance

Search engines now prioritise content that directly answers intent instead of content that simply ranks for keywords.

3. Trust Is Built Faster, But Lost Faster

Users don’t compare endlessly anymore. They choose the brand that feels most relevant to them.

Micro-moments sit at the centre of all three.

Understanding “Near Me” Searches in 2026

“Near me” searches are no longer just about location. They are about immediacy and convenience.

Examples:

“Gym near me”
“Marketing agency near me”
“Best salon near me open now”

In 2026, “near me” implies:

Location relevance
Availability
Trustworthiness
Clear next steps

If your content doesn’t address these signals, it won’t surface.

What Google Looks For in “Near Me” Searches

To show your brand for “near me” searches, your content must clearly communicate:

Where you operate
Who you help locally
What problem you solve
Why you’re reliable

This goes beyond maps and listings. It’s about content clarity.

Understanding “Best for Me” Searches in 2026

“Best for me” searches are deeply personal.

Examples:

“Best marketing strategy for small businesses”
“Best travel destination for couples”
“Best CRM for startups”
“Best skincare for oily skin”

These searches signal evaluation intent.

The user isn’t asking for everything. They’re asking for their best option.

What “Best for Me” Really Means

It usually translates to:

“Based on my situation”
“Based on my budget”
“Based on my goals”
“Based on my experience level”

Brands that win here don’t just list options.
They guide decisions.

The Four Core Micro-Moment Types

Most micro-moments fall into four intent categories:

1. I Want to Know

Educational, curiosity-driven searches.

Example:
“What is micro-moment marketing?”

Your content should explain clearly, without fluff.

2. I Want to Go

Location-based or local discovery searches.

Example:
“Best digital marketing agency near me”

Your content should confirm relevance and proximity.

3. I Want to Do

How-to or task-based intent.

Example:
“How to generate leads using Instagram”

Your content should guide step by step.

4. I Want to Buy

High commercial intent.

Example:
“Best agency for Meta ads”

Your content should build confidence and reduce hesitation.

Why Most Brands Miss Micro-Moments

Despite their importance, most brands fail at micro-moment visibility because:

Their content is too generic
They write for keywords, not intent
Their pages try to talk to everyone
They hide answers behind fluff
They don’t update content for real-world use

In 2026, this approach simply doesn’t work.

How Helpful Content Wins Micro-Moments

Helpful content does one thing extremely well:
It answers the question the user is asking right now.

Not later. Not eventually. Not after scrolling endlessly.

This means:

Clear headlines
Direct answers
Contextual explanations
Simple language
Relevant examples

Structuring Content for Micro-Moment Discovery

To show up in micro-moments, your content should be structured so that both users and search engines can understand it easily.

That includes:

Clear section headings
Natural question-based subheadings
Concise paragraphs
Scannable formatting

This structure helps content get surfaced in AI-driven results, voice search, and featured answers.

Creating Content for “Near Me” Micro-Moments

Here’s how brands can capture “near me” searches effectively:

1. Location-Specific Pages

Create pages that clearly mention:

Cities you serve
Areas you specialise in
Local use cases or examples

2. Contextual Trust Signals

Include:

Client types
Industries served
Local success stories
Clear contact information

3. Action-Oriented CTAs

Make it easy to:

Call
Book
Visit
Enquire

Creating Content for “Best for Me” Micro-Moments

To win “best for me” searches, your content should:

1. Segment the Audience

Speak to specific user types:

Beginners vs advanced
Small businesses vs enterprises
Budget-conscious vs premium

2. Compare Without Confusion

Explain:

What works for whom
When something is not a good fit
How to choose correctly

3. Show Decision Frameworks

Help users decide by explaining:

Criteria
Trade-offs
Outcomes

The Role of Trust in Micro-Moments

In 2026, trust is built in seconds.

Micro-moment trust signals include:

Clear language
Honest limitations
Real examples
Transparent positioning

Overpromising kills trust faster than under-selling.

Micro-Moments and Content Formats That Work Best

Different formats work better for different micro-moments:

Blogs for “I want to know”
Comparison pages for “best for me”
Local landing pages for “near me”
FAQs for quick decision support

The key is matching format with intent.

How Brands Should Rethink SEO in 2026

SEO in 2026 is no longer about ranking alone. It’s about:

Being useful
Being contextual
Being timely
Being specific

Micro-moments are where SEO meets user experience.

How Kodo Kompany Approaches Micro-Moment Content

At Kodo, we focus on:

Intent-first content planning
Clear user journeys
Pages designed to answer, not impress
Content that supports real decision-making

Our goal isn’t traffic for the sake of traffic.
It’s relevance that converts.

Measuring Micro-Moment Success

Success isn’t just rankings. Look at:

Time on page
Scroll depth
Conversion actions
Local enquiries
Quality of leads

These signals tell you whether you’re winning micro-moments.

Common Micro-Moment Mistakes to Avoid

Writing vague content
Ignoring local relevance
Stuffing keywords unnaturally
Hiding answers too deep
Treating all users the same

In 2026, clarity beats cleverness.

The Future of Micro-Moments

As voice search, AI assistants, and conversational search grow, micro-moments will become even shorter and more decisive.

Brands that:

Anticipate intent
Create helpful content
Respect user time

Will dominate discovery.

Final Thoughts

Micro-moments are not a trend. They are the default behaviour of modern search users.

“Near me” and “best for me” searches are how people decide now.
Your content must be ready to answer them.

In 2026, the brands that win are not the loudest—but the most helpful at the right moment.

Posted on December 29, 2025 by Kodo Gen — Leave a comment

Conversational Search Optimization: Preparing for AI-First Search in 2026

As we approach 2026, the digital landscape is evolving rapidly, particularly in the realm of search engine optimization (SEO). The emergence of AI-driven search technologies is reshaping how users interact with information online. This transformation necessitates a shift in strategies for brands aiming to maintain visibility and relevance. In this article, we will explore the concept of conversational search optimization, its significance, and actionable strategies that businesses can implement to thrive in an AI-first search environment.

Understanding Conversational Search Optimization

Conversational search optimization is the practice of tailoring content to align with the way users engage with AI-powered search tools. Unlike traditional search methods that rely on keyword input, conversational queries involve natural language and complete questions. This shift requires brands to rethink their content creation and optimization strategies.

The Rise of Conversational Queries

With the increasing use of AI tools like ChatGPT and Google’s AI Overviews, users are gravitating towards conversational queries to find information. This trend signifies a fundamental change in user behavior, and brands that adapt to this evolution will be better positioned to capture audience attention and drive engagement.

Natural Language Processing (NLP): AI systems utilize NLP to interpret user queries, meaning content must be structured to reflect how people naturally speak and ask questions.
Contextual Relevance: AI prioritizes context over mere keyword matching, necessitating comprehensive answers that address user intent.
Instant Gratification: Users expect quick, accurate responses without sifting through multiple sources, prompting brands to ensure their content is concise and directly answers common questions.

Preparing for AI-First Search Strategies

To navigate the transition to AI-first search effectively, brands must implement specific strategies that enhance visibility and relevance. Here are several key approaches to consider:

1. Optimize for User Intent

Understanding user intent is crucial for conversational search optimization. Brands should focus on creating content that addresses the specific needs and questions of their target audience.

Conduct Keyword Research: Identify common questions and phrases that users are likely to search for. Tools like Google Trends and Answer the Public can provide valuable insights.
Create Comprehensive Content: Develop content that thoroughly answers user queries, including detailed guides, FAQs, and how-to articles that provide value and context.

2. Structure Content for AI Readability

AI systems favor content that is easy to read and understand. To enhance the readability of your content:

Use Clear Headings and Subheadings: Organize content with descriptive headings that reflect the questions users might ask. This helps AI tools quickly identify relevant sections.
Incorporate Bullet Points and Lists: Break down complex information into digestible bullet points or numbered lists. This format is user-friendly and aids AI in extracting key information.

3. Leverage Schema Markup

Schema markup is a powerful tool that helps search engines understand the context of your content. By implementing structured data, brands can enhance their chances of being featured in AI-generated responses.

Improved Visibility: Schema markup can lead to rich snippets, increasing the likelihood of being cited by AI tools.
Enhanced User Experience: Providing structured data helps users find the information they need more efficiently, improving overall satisfaction.

4. Focus on Conversational Content

Creating content that mimics natural conversation can significantly improve engagement. Consider the following strategies:

Use a Conversational Tone: Write as if you are having a dialogue with the reader. This approach makes the content more relatable and engaging.
Incorporate Questions and Answers: Structure your content around common questions. This aligns with user search behavior and positions your brand as a helpful resource.

The Role of AI in Search Optimization

AI is not just a tool for enhancing search; it is fundamentally changing how search engines operate. Understanding this shift is essential for brands looking to optimize their content effectively.

1. AI-Driven Search Results

AI systems analyze vast amounts of data to deliver personalized search results. This means that brands must focus on creating high-quality, relevant content that resonates with their audience.

Quality Over Quantity: Prioritize creating fewer, high-quality pieces of content rather than churning out numerous low-quality articles.
Engagement Metrics: AI tools consider user engagement metrics, such as time spent on a page and bounce rates. Brands should aim to create content that keeps users engaged and encourages them to explore further.

2. The Impact of AI Overviews

AI Overviews are summaries generated by AI tools that provide quick answers to user queries. To optimize for these features:

Craft Concise Summaries: Ensure that your content includes clear, concise summaries that directly answer common questions.
Utilize FAQs: Incorporate a dedicated FAQ section on your website. This not only addresses user queries but also increases the likelihood of being featured in AI Overviews.

Implementing an AI-First Search Strategy

To successfully implement an AI-first search strategy, brands must take a holistic approach that encompasses various aspects of their digital presence.

1. Monitor and Analyze Performance

Regularly monitoring the performance of your content is essential for understanding its effectiveness in an AI-driven landscape.

Utilize Analytics Tools: Leverage tools like Google Analytics to track user behavior, engagement metrics, and conversion rates.
Adjust Strategies Based on Data: Use insights from analytics to refine your content strategy. Identify which topics resonate with your audience and adjust your approach accordingly.

2. Stay Updated on AI Trends

The field of AI is rapidly evolving, and staying informed about the latest trends is crucial for maintaining a competitive edge.

Follow Industry News: Subscribe to industry publications and blogs that cover AI developments and search engine updates.
Participate in Webinars and Conferences: Engage with experts in the field to gain insights into emerging trends and best practices.

Conclusion: Embracing the Future of Search

As we move toward 2026, the importance of conversational search optimization cannot be overstated. Brands that proactively adapt their strategies to align with AI-first search will not only enhance their visibility but also foster deeper connections with their audience. By focusing on user intent, structuring content for AI readability, and leveraging the power of AI tools, businesses can position themselves for success in this new era of search.

Actionable Takeaways

Prioritize User Intent: Create content that addresses the specific needs and questions of your audience.
Structure for Readability: Use clear headings, bullet points, and lists to enhance content readability.
Implement Schema Markup: Utilize structured data to improve visibility in AI-generated responses.
Monitor Performance: Regularly analyze content performance and adjust strategies based on data insights.
Stay Informed: Keep up with the latest trends in AI and search optimization to maintain a competitive edge.

By embracing these strategies, brands can navigate the evolving landscape of search and ensure they remain relevant in an AI-driven world.

Posted on January 1, 2025December 29, 2025 by Kodo Gen — Leave a comment

Google Search Live Gets an Upgrade: What Gemini 2.5 Means for SEO, Voice Search & Brands

Google just took another major step toward an AI-first, voice-led search future.

This week, Google upgraded Search Live with Gemini 2.5 Flash Native Audio, unlocking smoother, more expressive, and more conversational voice interactions directly inside Google Search. For users, this feels like a natural conversation. For brands and marketers, this quietly changes how visibility, discovery, and SEO will work going forward.

If search is no longer just typed—but spoken, contextual, and real-time—then the way brands prepare content must evolve too.

Let’s break down what changed, why it matters, and what brands should start doing next.

What Is Google Search Live (and What Just Changed)?

Search Live allows users to have a real-time voice conversation with Google Search using AI Mode. Instead of typing fragmented keywords, users can now ask follow-up questions naturally—just like talking to a person.

With the Gemini 2.5 Flash Native Audio upgrade, Google has improved:

Voice fluency and expressiveness
Conversational back-and-forth accuracy
Real-time contextual understanding
Multilingual voice translation quality

In simple terms: Search now listens, understands, responds, and adapts—live.

This isn’t just “voice search” as we knew it. It’s conversational search at scale.

Why This Update Matters for SEO (More Than You Think)

Traditional SEO has been built around:

Keywords
Rankings
Clicks

But conversational search doesn’t work like that.

When users talk to Search Live, they don’t say:

“best CRM software India price”

They say:

“I’m looking for a CRM for a small team, not too expensive, mostly for sales tracking—what would you recommend?”

That difference changes everything.

SEO Is Moving From Keywords to Conversations

This update pushes search toward:

Intent clusters, not single keywords
Follow-up questions, not one-off queries
Context awareness, not static results

Your content no longer competes only on ranking—it competes on relevance in a conversation.

What Gemini 2.5 Native Audio Really Unlocks

Let’s look at the deeper implications of this upgrade.

1. Search Is Becoming a Dialogue, Not a Destination

Search Live allows users to:

Ask a question
Get an answer
Ask a follow-up
Refine intent
Compare options

All without restarting the search.

This means brands need content that:

Answers clearly
Anticipates follow-up questions
Builds trust quickly

Pages that only “rank” but don’t resolve the user’s need will slowly lose visibility.

2. Voice-Friendly Content Will Win Visibility

Voice-based systems prefer:

Simple sentence structures
Clear explanations
Natural phrasing
Direct answers

Long, keyword-stuffed paragraphs written only for bots won’t perform well in voice-driven environments.

Content that sounds human when spoken aloud will perform better.

3. Context Will Matter More Than Ever

With Gemini handling conversational memory, Google can now understand:

What the user already asked
What they rejected
What they’re leaning toward

That means your content must:

Address why, not just what
Explain trade-offs
Guide decisions, not just describe features

How Voice-Based Search Changes User Behavior

As Search Live improves, users will:

Ask longer, more detailed questions
Expect immediate clarity
Trust spoken responses more than links
Spend less time clicking multiple pages

This doesn’t mean websites disappear—but it does mean only the most helpful content gets surfaced.

Your website becomes the source, not always the destination.

What This Means for Brands in 2025 and Beyond

Let’s talk action.

1. Informational Content Becomes Strategic Content

Blogs, FAQs, explainers, and guides are no longer “top-of-funnel fluff.”
They are training data for how Google understands your authority.

Brands that invest in:

Clear educational content
Structured explanations
Real-world examples

will be referenced more often in AI-driven responses.

2. FAQs Are No Longer Optional

Search Live thrives on question-based discovery.

If your website doesn’t clearly answer:

“What is this?”
“Who is it for?”
“Is this better than alternatives?”
“How much does it cost?”

You’re invisible in conversational search—even if you rank on page one.

3. Brand Trust Signals Matter More Than Rankings

Voice-based responses rely heavily on trust.

Google evaluates:

Content depth
Site credibility
Engagement signals
Clarity and consistency

This means:

Thin content loses power
Repetitive AI-written fluff won’t survive
Authority is built through usefulness, not volume

How Kodo Kompany Views This Shift

At Kodo, we see this update as confirmation of something we’ve been saying for a while:

SEO is no longer about search engines. It’s about answer engines.

Search Live with Gemini 2.5 accelerates the shift toward:

Conversational discovery
AI-curated answers
Fewer but better sources

Brands that adapt early will compound visibility. Brands that wait will chase relevance.

How Brands Should Prepare Right Now

Here’s a practical roadmap.

1. Rewrite Content for Humans First

Ask:

Would this sound natural if read aloud?
Does it directly answer a question?
Is it easy to understand without jargon?

If not, it’s not voice-ready.

2. Build Content Around Real Questions

Stop guessing keywords. Start listening.

Use:

Sales call questions
Support tickets
Chat logs
Customer emails

These are the exact phrases users will speak into Search Live.

3. Structure Content for Easy Extraction

Google prefers content that’s:

Clearly sectioned
Logically ordered
Easy to scan and summarize

Think in answers, not essays.

4. Strengthen Your Brand Entity

Consistent messaging across:

Website
Social platforms
Reviews
External mentions

helps AI systems understand who you are and when to trust you.

Does This Kill Traditional SEO?

No—but it transforms it.

Traditional SEO tactics still matter:

Technical health
Page speed
Indexability

But they are no longer enough on their own.

The future belongs to brands that combine:

SEO
Content strategy
UX
Trust-building

into one cohesive system.

Final Thought: Search Is Learning How Humans Talk

Gemini 2.5 Flash Native Audio isn’t just a feature update—it’s a signal.

Google is preparing for a world where:

Typing is optional
Conversations are normal
Answers matter more than links

Brands that learn to communicate clearly, helpfully, and conversationally will win visibility—across search, voice, and AI-driven discovery.

The question is no longer:

“How do I rank on Google?”

It’s now:

“How do I become the best answer when Google speaks?”

If you want help adapting your content, SEO, or website for this AI-first future—that’s exactly what we do at Kodo Kompany.