How to Optimise Content for AI Search Engines
A practical guide to improving visibility in ChatGPT, Perplexity, Google AI Overviews, and other generative search platforms
Search is changing.
For years, digital marketers focused on ranking in traditional search engines like Google and Bing. Today, AI-powered platforms such as ChatGPT, Perplexity, Claude, and Google’s AI Overviews are changing how people discover information online.
Instead of scrolling through pages of search results, users are increasingly receiving direct answers generated by AI.
This shift has created a new challenge for marketers: how do you ensure your content gets surfaced, referenced, and cited by AI search engines?
The answer lies in understanding how Generative Engine Optimisation (GEO) works and adapting your content strategy accordingly.
In this guide, we’ll explore how AI search engines work, why they matter, and the practical steps you can take to optimise your content for the future of search.
What are AI Search Engines?
AI search engines use large language models (LLMs) to generate responses to user queries.
Rather than presenting a list of links, they analyse information from multiple sources and provide summarised answers.
Examples include:
These platforms are changing user behaviour. Instead of searching “best PPC agency in Manchester”, users might ask:
“Who are the best PPC recruitment specialists in the UK?”
The AI then generates a response based on the information it can find and trust.
For businesses and marketers, visibility is no longer just about ranking first.
It’s about becoming a trusted source that AI platforms choose to reference.
Why AI Search Matters for Digital Marketers
While traditional SEO remains critical, AI search is becoming an increasingly important traffic source.
Many businesses are already seeing referrals from ChatGPT and Perplexity in their analytics platforms.
As adoption continues to grow, marketers who optimise for AI search now will have a significant advantage over competitors who wait.
This is particularly relevant for specialist sectors such as SEO, PPC, paid social, and digital PR, where users increasingly rely on AI tools for recommendations and advice.
For businesses looking to build specialist digital marketing teams capable of adapting to these changes, working with a specialist recruitment partner can help secure talent with the right skills and experience. Herd Digital supports hiring across areas including SEO Recruitment, PPC Recruitment, Paid Social Recruitment, and Digital PR Recruitment.
Focus on Topics, Not Just Keywords
Traditional SEO often centred around targeting specific keywords.
AI search engines take a broader approach.
They aim to understand topics, context, and user intent.
Instead of creating multiple thin articles targeting slight keyword variations, focus on building comprehensive resources that answer a topic in depth.
For example, instead of creating separate articles for:
- What is PPC?
- How does PPC work?
- Benefits of PPC advertising
You could create one detailed guide covering all aspects of PPC.
The more comprehensive your content is, the more useful it becomes for both users and AI models.
Answer Questions Clearly and Directly
AI engines love content that provides clear answers.
One of the simplest ways to improve visibility is to structure content around the questions your audience is asking.
For example:
What is Generative Engine Optimisation?
Generative Engine Optimisation (GEO) is the process of optimising content so that it can be discovered, referenced, and cited by AI-powered search engines and large language models.
Simple, direct answers like this make it easier for AI tools to extract information.
Throughout your content, consider including:
- FAQs
- Question-based headings
- Definitions
- Step-by-step explanations
Build Topical Authority
AI search engines favour sources they consider trustworthy.
This means authority matters more than ever.
One article on a topic is unlikely to be enough.
Instead, create clusters of related content.
For example, if you’re targeting paid media topics, create supporting content around:
- PPC careers
- Paid social trends
- Performance marketing skills
- Programmatic advertising
- Agency vs in-house roles
This helps demonstrate expertise and strengthens your authority within a subject area.
Create Original Insights and Data
One challenge AI search engines face is distinguishing between thousands of articles saying the same thing.
Original data helps solve this problem.
Content containing:
- Salary surveys
- Industry reports
- Benchmark data
- Original research
- Expert commentary
is significantly more likely to be cited.
For example, publishing unique salary insights through a Digital Marketing Salary Survey gives AI engines something valuable that cannot be found elsewhere.
This is one reason original content often outperforms generic AI-generated articles.
Improve Content Structure
Good structure benefits both users and AI systems.
Make content easy to understand by using:
- Clear H2 and H3 headings
- Bullet points
- Numbered lists
- Short paragraphs
- Summary sections
Well-structured content allows AI tools to quickly identify key information and present it to users.
Think about how your content would appear if someone copied only a small section into an AI-generated answer.
Would it still make sense?
Strengthen Your Brand Presence Beyond Your Website
AI search engines gather information from a variety of sources.
This means your website is only part of the equation.
Brands that appear consistently across:
- Industry publications
- Podcasts
- News websites
- Digital PR campaigns
- Industry events
are more likely to be recognised as authoritative.
This is why digital PR is becoming increasingly important as part of a modern search strategy.
Strong brand mentions across the web help reinforce credibility and improve the chances of being referenced by AI systems.
Don’t Ignore Traditional SEO
One of the biggest misconceptions about AI search is that SEO is becoming irrelevant.
The opposite is true.
Most AI search engines still rely heavily on information discovered through traditional search indexing.
The fundamentals still matter:
- Technical SEO
- Fast website performance
- Internal linking
- High-quality content
- User experience
- Backlinks
Think of GEO as an extension of SEO, not a replacement.
Track AI Search Visibility
As AI search grows, marketers need to start measuring visibility differently.
Consider tracking:
- Referral traffic from ChatGPT and Perplexity
- Brand mentions in AI-generated responses
- Changes in organic search traffic
- Content citations across AI platforms
Understanding where and how your brand appears will become an increasingly important part of digital marketing reporting.
AI search engines are changing how people discover information, but the fundamentals remain surprisingly familiar.
Brands that create valuable content, demonstrate expertise, and build authority will continue to perform well.
The difference is that visibility is no longer limited to Google’s search results.
Today’s marketers need to think about how their content is consumed by both humans and AI.
By focusing on topical authority, structured content, original insights, and strong brand visibility, you’ll be well positioned to succeed in the next generation of search.
If you’re looking to strengthen your digital marketing team with specialists in SEO, PPC, paid media, paid social, programmatic advertising, digital PR, or client services, explore our recruitment services or submit a vacancy to discuss your hiring plans.
FAQs
What is AI search optimisation?
AI search optimisation is the process of improving content so it can be discovered, referenced, and cited by AI-powered search engines such as ChatGPT, Perplexity, and Google AI Overviews.
What is the difference between SEO and GEO?
SEO focuses on traditional search engine rankings, while GEO focuses on improving visibility within AI-generated search responses and summaries.
Does AI search replace SEO?
No. AI search builds upon traditional SEO principles. Strong SEO foundations remain essential for visibility in both traditional and AI-powered search environments.
How do AI search engines choose sources?
AI search engines typically prioritise authoritative, relevant, well-structured, and trustworthy content when generating responses.
Why is topical authority important for AI search?
Topical authority helps AI engines identify your website as a trusted source on a subject, increasing the likelihood of your content being referenced in AI-generated answers.
