How Businesses Can Optimise Websites for AI Search Engines

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  • stop watch icon 10 minute read

  • Published 30 April

  • Last updated 30 April

Search engine optimisation (SEO) has always been about adapting to new technologies, and the rise of AI-driven search engines is no exception. Platforms like ChatGPT, Google's Search Generative Experience (SGE) and Perplexity are transforming how users find and interact with content. Optimising a business's website for AI search isn't just about ranking higher—it's about ensuring brands remain visible in AI-generated answers and summaries.

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So, how can a business help itself adapt? Here's a breakdown of key strategies and how organisations can implement them effectively.

1. Implement Structured Data & Schema Markup

AI search engines depend on structured data to comprehend and index website content accurately; therefore, businesses should:

  • Use Schema Markup: Apply structured data (e.g., FAQ, Article, Product schema) to make key information easily digestible for AI algorithms.
  • Enhance Local SEO: Use LocalBusiness schema to improve visibility in AI-driven local search results.
  • Optimise Metadata: Ensure meta descriptions, headers, and alt text are clear, relevant and aligned with conversational search queries.

Companies should conduct a structured data audit, implementing appropriate schema markup through plugins (for CMS platforms like WordPress) or direct coding. Regularly testing markup using Google's Rich Results Test ensures accuracy.

2. Create Conversational & Natural Language Content

AI models prioritise content that mimics natural language patterns. Businesses must:

  • Write for Humans, Not Just Keywords: Use a conversational tone, incorporating long-tail and question-based keywords.
  • Adopt a Q&A Format: Structure content so that AI can easily extract and display as direct answers.
  • Improve Readability: Use short paragraphs, bullet points and clear headings to make content AI-friendly.

Organisations should conduct keyword research focusing on voice and AI search terms. Tools like Google's 'People Also Ask' and AnswerThePublic can help identify commonly searched queries to shape content strategy.

3. Establish Authority & Trustworthiness

AI models prioritise content from credible, well-referenced sources. To improve AI referrals, businesses should:

  • Publish Authoritative Content: Create well-researched, data-backed articles that establish expertise in their niche.
  • Leverage Expert Authorship: Highlight credentials of content creators to enhance E-E-A-T (Experience, Expertise, Authoritativeness and Trustworthiness).
  • Encourage High-Quality Backlinks: Secure links from reputable sources to increase domain authority.

Organisations should focus on digital PR, guest blogging and collaborations with industry experts. Additionally, ensuring content citations and external linking to trusted sources will enhance credibility.
 

AI search engines depend on structured data to comprehend and index website content accurately

4. Optimise for AI-Generated Answer-Based Content

Since AI search models summarise information, businesses must ensure their content is primed for inclusion. Key strategies include:

  • Creating AI-Optimised FAQs: Develop detailed FAQ sections that answer common industry-related questions directly.
  • Using Snippet-Friendly Formatting: Implement numbered lists, tables and structured responses that AI can easily extract.
  • Providing Clear, Direct Answers: Place answers at the beginning of content sections to increase the chances of AI referencing them.

Companies should audit existing content to ensure it's digestible for AI-driven results. They can also create standalone knowledge hubs or resource centres to serve as authoritative sources.

5. Leverage Multi-Format Content for AI Discovery

AI platforms don't just pull from text—they analyse images, videos and audio. Businesses should ensure their content strategy includes the following:

  • Video & Podcast Transcriptions: Adding transcripts to video and audio content enhances accessibility for AI models.
  • Optimised Image Metadata: Ensure alt text and file names are descriptive and keyword-optimised.
  • Diversified Content Distribution: Publish across multiple platforms (YouTube, blogs, podcasts) to increase AI discoverability.

Organisations should integrate multimedia into their content plans, ensuring each format is indexed correctly and optimised for AI search.

Final Thoughts

For businesses, the shift towards AI search presents both challenges and opportunities. Organisations can ensure they remain highly visible in AI-generated search results by proactively optimising content, structure and credibility. With AI transforming the search landscape, innovative companies have the opportunity for enhanced engagement, increased visibility and improved business results.

If your organisation is looking to future-proof its SEO strategy, implementing these AI-friendly optimisation techniques is the place to start.