Generative search is changing how customers find information. Instead of browsing a list of links, users ask an AI and receive a synthesised answer. To ensure your business is included in these answers, you need an AI search optimisation strategy. At Infokus Marketing & AI Agency, we help brands adapt to this new era of search by blending classic SEO with AI-ready content.
AI search optimisation is the practice of preparing your content and presence to be found by generative search engines – tools like ChatGPT, Google’s Search Generative Experience (SGE), Perplexity and Claude. These engines are changing search by providing direct answers instead of a list of links. To ensure your business surfaces in these answers, you need to optimise for both traditional search and AI.
Some believe that AI search means the end of SEO. In reality, AI search engines still rely on high-quality, authoritative content to generate responses. They prioritise pages that rank well on traditional search and those mentioned on credible lists. This means that classic SEO – quality content, technical optimisation, and backlinks – remains foundational. AI search optimisation builds on top of SEO. As a pioneer in AI marketing, I, Tanya Duncan, work with businesses to integrate classic SEO best practices and AI-ready content strategies. This blend of innovation and integrity ensures our clients’ brands stand out in a world of generative search.
Generative engines gather information from multiple sources. They consider factors such as authoritative mentions, awards, certifications, online reviews, and customer usage data. They also prefer content with a clear page structure and concise language. In effect, AI search synthesises information from trusted sources and presents a summary to users.
Ranking factors for AI search
A successful AI search optimisation strategy includes:
Create authoritative content
Publish in-depth articles, guides and comparison pieces that rank highly in traditional search results. These pieces form the foundation for AI search recommendations.
Earn credible mentions
Reach out to industry publications and directories. Submit your company for awards. Encourage clients to leave detailed reviews. Being present in these channels feeds AI search ranking factors.
Focus on page structure and clarity
Use headings (H1, H2, H3), short paragraphs, bullet points and tables. A clean structure makes it easier for AI to understand and extract relevant information.
Use long-tail, question-based keywords
Generative engines rely on language patterns. Incorporate phrases like “how to optimise for AI search” and “what is AI search optimisation” throughout your content.
Maintain your Google Business Profile
Your Google Business Profile signals trust and provides data that AI engines use to recommend local businesses. Keep your information accurate and encourage customers to leave reviews.
Monitor sentiment and engage
Positive social sentiment can boost your visibility. Engage authentically with your audience on social media, addressing concerns and celebrating successes.
Prepare your data for AI consumption
Generative engines also consider third-party databases and directories. Ensure your company information is consistent across platforms and consider submitting to high-authority databases.
Generative search isn’t just a trend; it’s the new front door to your business. When potential customers ask ChatGPT, Perplexity, or other generative engines for recommendations, they may never see a traditional search page. AI will deliver a direct answer drawn from trusted sources and structured content. Without AI search optimisation, your business might be invisible in these answers. By preparing your website and brand for AI search, you ensure your expertise surfaces at the moment of decision. It’s a way to future-proof your marketing and stand out in a crowded field.
1. What is AI search optimisation?
AI search optimisation is the process of preparing your content and online presence so generative search engines can find and recommend your business. Infokus helps businesses identify and implement the right strategies for their brand.
2. How is AI search different from SEO?
AI search builds on traditional SEO. While search rankings still matter, AI search optimisation also focuses on earning credible mentions, improving machine readability and building positive social sentiment to increase visibility.
3. Do keywords still matter?
Yes. Long-tail and question-based keywords help AI models connect user queries with your content. A strong keyword strategy remains important for AI search visibility.
4. How do I know if AI search optimisation is working?
You can measure success through increased mentions in generative search results and higher organic referral traffic. Analytics tools can also help track progress and refine the strategy over time.
5. Can Infokus help me with AI search optimisation?
Yes. Infokus supports businesses with both traditional SEO and AI search optimisation by creating tailored strategies aligned with business goals and helping teams sustain long-term results.
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