In the rapidly evolving digital landscape, businesses must adapt their strategies to stay relevant. The rise of AI Search and AI Assistants like Chat GPT and Google Gemini has transformed how web users get their information online and also how they interact with search engines. 

As AI Assistants like Chat GPT and Google Gemini technologies become more popular and more advanced, the need to optimize content for AI-driven platforms is more critical than ever. 

This article explores how you can optimize your website for AI Search and Generative Engines, providing insights and strategies to ensure your website will gain more referral traffic from AI chat assistants.

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimization (GEO) is a digital marketing strategy aimed at optimizing content for AI-driven generative search engines and large language models. 

GEO focuses on creating high-quality, contextually rich content that aligns with user intent and AI algorithms. 

The goal of implanting a GEO strategy is to increase the volume of users referred to your website from AI search like Chat GPT, Perplexity.ai, Google Gemini, Deepseek and Grok

Why Your Business Should Care About AI Search Optimization

AI Search and AI Assistants have become integral to how consumers find information, make decisions, and interact with brands. By optimising your website for these technologies, you ensure that your business is accessible to a broader audience, increasing the likelihood of attracting and retaining customers.

AI Assistants are already reshaping the digital landscape. These tools offer users personalised and efficient search experiences, often providing answers without the need to navigate away from the search engine results page (SERP). For businesses, this means that appearing in AI-generated results is crucial for maintaining visibility and relevance.

As more businesses recognise the value of AI Search optimisation, staying ahead of the competition becomes increasingly challenging. By adopting AI-friendly practices early, you position your business as a forward-thinking leader in your industry, setting the stage for long-term success.

Driving more traffic from AI search assistants to your website can:

  • Make users aware of your brand for the first time
  • Make people aware of your expertise in your industry
  • Increase potential of them inquiring about your services in the future

Which AI Platforms in Asia should you optimise for?

 

Top AI Generative Platforms in Asia – 2025 Usage Statistics

The AI generative platform market in Asia has seen significant growth and diversification. Here’s a table summarizing the main platforms and their estimated user base in Asia for 2025:

Key Insights:

  • Total estimated user base for top AI generative platforms in Asia: ~725 million
  • ChatGPT/OpenAI leads the market, with strong adoption across multiple Asian countries
  • Chinese platforms (Baidu ERNIE, DeepSeek, Alibaba Tongyi Qianwen) show significant user bases, primarily within China
  • Google Gemini has gained traction, especially in India and Southeast Asia
  • Specialized platforms like Hugging Face are popular among developers and researchers

Regional Trends:

  • China: Dominated by local players due to regulatory environment
  • India: High adoption of global platforms like ChatGPT and Google Gemini
  • Japan & South Korea: Mix of global and local platforms, with a preference for advanced features
  • Southeast Asia: Growing rapidly, with a diverse ecosystem of both global and regional platforms

How to implement a Generative Engine Optimisation on your website to drive more traffic from AI search?

To effectively optimize your website for AI Search and Generative Engines, it’s essential to focus on several key elements that can be split into different categories of website optimization. These components ensure that your content is not only visible but also favoured by AI algorithms, increasing your chances of appearing in AI-generated results.

Understanding AI Search Behaviour & Demand

Understanding User Intent

Start by identifying the core intent behind user searches. Tools like Keysearch and Google’s Keyword Planner can help you understand the underlying needs driving specific queries. Optimise your content to address these needs directly, increasing your chances of being featured in AI-generated results.

Leveraging AI Tools

Utilise AI tools like Chat GPT and Writesonic to generate content ideas and draft sections optimised for search engines. These tools can help ensure your content is both engaging and aligned with AI algorithms.

Technical & Design Elements

Elements related to technical SEO are critical components for optimising your website for AI Search. Ensuring that AI crawlers can efficiently access and understand your content is essential for maintaining visibility in AI-driven search results.

Clean and Structured Data

AI platforms thrive on structured data. By using clean HTML, semantic markup, and schemas, you make it easier for AI algorithms to understand and categorise your content. This improves your chances of being featured in rich results and AI overviews.

Structured data makes it easier for AI platforms to interpret the context and relevance of your content. This increases your chances of being featured in rich results like snippets or knowledge panels, enhancing your visibility in AI-driven search results.

Implementing Schema Markup

Schema markup is a powerful tool for improving search engine visibility. By defining content types like FAQs and How-Tos, you increase the likelihood that AI algorithms will view your content as valuable for its summaries.

FAQ Schema Markup Example 

<html>
<head>
<title>Finding an apprenticeship – Frequently Asked Questions(FAQ)</title>
<script type=”application/ld+json”>
{
“@context”: “https://schema.org”,
“@type”: “FAQPage”,
“mainEntity”: [{
“@type”: “Question”,
“name”: “How to find an apprenticeship?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “<p>We provide an official service to search through available apprenticeships. To get started, create an account here, specify the desired region, and your preferences. You will be able to search through all officially registered open apprenticeships.</p>”
}
}, {
“@type”: “Question”,
“name”: “Whom to contact?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “You can contact the apprenticeship office through our official phone hotline above, or with the web-form below. We generally respond to written requests within 7-10 days.”
}
}]
}
</script>
</head>
<body>
</body>
</html>

Fast and Responsive Design

Speed is critical in the world of AI Search. AI Assistants often have tight timeouts for retrieving content, so ensuring your website loads quickly is crucial. Optimise images, leverage browser caching, and use a content delivery network (CDN) to enhance your site’s performance.

Semantic and Contextual Relevance

AI algorithms prioritise content that aligns with user intent. Incorporate semantic keywords and phrases that reinforce the context of your content. This approach helps AI understand the broader meaning of your content, increasing its relevance and visibility.

User-Friendly Experience

AI-driven platforms favour content that is easy to read and navigate. Use short paragraphs, bullet points, and lists to break down complex information. Ensure your website is mobile-friendly and accessible to all users.

Page Speed and Performance

AI search engines prioritise fast-loading pages, as they contribute to better user experiences and higher rankings. Optimise your page speed by compressing images, enabling browser caching, and using a CDN.

Secure Site Protocols

Security is a crucial ranking factor for AI-driven platforms. Ensure your site is secured with HTTPS, which increases trustworthiness and prevents browsers from displaying warnings that deter users.

Web Page Content Elements

Updating Content Regularly

AI models are eager for new information that stands out from existing data. Regularly update your content to offer fresh material for AI platforms to draw upon. This signals to algorithms that your page remains relevant and up-to-date.

Regular Content Audits

Conduct frequent audits to ensure your content is up-to-date and optimised for current AI trends. Refresh outdated content and enhance underperforming pages to maintain relevance and effectiveness.

Writing with Clarity and Simplicity

AI models prioritise content that is clear and easy to read. Use tools like Grammarly to ensure your language is concise and free of errors. Avoid overly complicated sentences and focus on delivering value to the reader.

Consistent Publishing

Regularly creating updated, industry-specific content shows AI systems that you are an active, knowledgeable player in your field. This enhances your credibility and increases your chances of being featured in AI-generated results.

Author Credentials and Backlinks

Providing detailed information about content creators, including qualifications and experience, helps AI recognise the credibility behind your content. Additionally, AI favours content linked to or referenced by authoritative external websites.

Social Proof and Engagement

A strong, active social media presence signals to AI that your content resonates with an audience. This further enhances its authority score and increases your chances of being featured in AI-driven search results.

Measuring AI Generative Search Performance 

To fully gauge your content’s effectiveness in AI-driven search results, it’s essential to focus on AI-specific performance indicators. These metrics will help you understand how well your content is performing and identify areas for improvement.

The following analytics platforms can provide you with performance insights on referral traffic from AI assistants and also potential search behaviour in Google that may be relevant to query behaviour in AI Assistants.

Google Analytics

AI Assistant Referring Traffic Performance

For metrics reported in Google Analytics you can create filtered reports that only show data such as visits, visit country location, and platform source that comes from the key AI Search Assistants such as Chat GPT, Google Gemini, Claude, Grok, Perplexity and Deepseek.

User Engagement 

Evaluate metrics such as bounce rate, time on page, and user interactions, especially with AI-generated summaries. These insights help you understand how effectively your content is engaging users and meeting AI-driven expectations.

Google Search Console

Snippet Performance 

Monitor how often your content appears in featured snippets. Tools like Google Search Console or SpyFu can help you track and optimise for these valuable search results, which often appear in AI overviews and generative results.

Voice Search Metrics

For content optimised for voice search, track the traffic from voice-enabled devices using Google Search Console. This helps you measure the impact of your voice search optimisation efforts and identify areas for improvement.

Google Looker Studio

You can create a customized AI Search traffic dashboard report in Google Looker Studio that can feed in data from both Google Analytics and Google Search Console.

Other Specialist AI Platform Analytics 

There are also other analytics solutions that may be useful to setup and configure if you want to get some deeper insights on where your AI assistant traffic is coming from.

The following solutions may provide additional insights:

  1. Writesonic AI Traffic Analytics
  • Offers insights into website traffic sources, including emerging channels like AI assistants.
  • Provides competitive intelligence to benchmark your AI referral traffic against competitors.

2. Mixpanel

  • Event-based analytics that can be set up to track user journeys originating from AI assistants.
  • Offers advanced user behavior analysis.

3. Kissmetrics

  • Customer-centric analytics that can help track the customer journey from AI referral to conversion.
  • Offers person-based analytics for a more detailed view of user behavior.

4. Hotjar

  • While primarily a user behavior analytics tool, it can be used in conjunction with other analytics to visualize how AI-referred users interact with your site.
  • Offers heatmaps and session recordings for deeper insights.

5. Parse.ly

    • Content analytics platform that can be configured to track and analyze traffic from AI assistants.
    • Offers content performance metrics and audience insights.

Optimising your website for AI-driven search engines and Generative Engines is a rapidly evolving discipline. By combining traditional SEO best practices with emerging AI-focused strategies, you can ensure your content is recognised and favoured in AI search results and overviews.

At Taksu Digital, we have over 10 years of SEO experience, which had enabled us to also understand the algorithms of AI assistant platforms to recommend tailored AI Search Optimisation strategies for many types of website and businesses

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