What is AI Search? And Why Is It So Important?

Picture this: you’re planning a family holiday and instead of opening twelve different browser tabs to research destinations, weather patterns, flight prices, and accommodation options, you simply ask one question — and get a comprehensive, personalised answer in seconds.

This isn’t science fiction. It’s AI Search, and it’s fundamentally changing how your customers find and choose businesses like yours.

While you’ve been perfecting your SEO strategy, a seismic shift has been quietly gaining momentum. ChatGPT reached 5 billion visits last month. Google’s AI Overviews now appear across US search results. Perplexity AI is transforming how decision-makers research purchases. And according to Semrush projections, AI Search will overtake traditional search by 2028 — though industry insiders believe it’s happening much faster.

The businesses that understand and optimise for AI Search now will secure an insurmountable advantage. Those that don’t risk becoming the Blockbuster of their industry.

Executive Summary

AI Search represents the most significant evolution in how customers discover businesses since the internet itself.

Unlike traditional search engines that match keywords and serve website links, AI Search understands context, intent, and natural language — then synthesises information from hundreds of sources to deliver personalised, conversational answers.

For marketing leaders, this creates both unprecedented opportunity and existential risk.

The good news? Small and medium enterprises often have advantages over larger competitors in AI Search Optimisation.

The challenge? You need to start now.

Key takeaways

• AI Search breaks down complex queries into multiple searches, delivering comprehensive answers from diverse sources
• Success requires strong SEO foundations plus strategic brand exposure across third-party platforms
• Smaller businesses can outcompete larger brands by demonstrating deep expertise in specific niches
• Content must be optimised for AI consumption with clear structure, direct answers, and statistical data
• Traditional link building evolves into broader digital PR and brand mention strategies

What is AI Search?

AI Search is, essentially, a technology that’s now being used within search to improve how information is retrieved, interpreted, and presented back to searchers for their queries.

Unlike traditional Google search, which primarily relies on keyword matching and algorithms to decide what content is best, AI understands far more context and intent. It can also understand natural language better, grasping what someone’s trying to say when they’re searching for something and understanding our human phrasing.

The core difference lies in capability and scope. AI can look through hundreds more results than a human searcher can in a fraction of the time, then deliver a result that’s more relevant and personalised to what they’re actually searching for.

The Technical Foundation

All large language models like ChatGPT, Perplexity, and Gemini were trained on different datasets. Originally, they had loads of data inputted into them, and many early models didn’t have access to search the internet live — or they did, but with limited timeframes.

The capabilities have changed dramatically over the past 12-18 months. Now, most AI Search tools can retrieve and search directly on the internet very quickly, looking through hundreds of results and pulling content from different websites. They then repurpose that content into different answers.

This means if you and a colleague ask similar questions, you’ll likely phrase them differently because you’re human, and AI will respond in slightly different ways because it’s using different patterns of text to match what you’re saying.

How Does AI Search Work When You Type a Question?

Let’s say you’re searching for a hot weather holiday location for August, with cool evenings and interesting wildlife to observe during the day.

Here’s what happens behind the scenes:

Query Breakdown

AI breaks that single search down into multiple specific queries:

• Destinations with temperatures above 20 degrees during August
• Best countries to travel in the summer season (avoiding rainy seasons)
• Best wildlife viewing during July to August seasons

Information Retrieval

The AI will either use information from its dataset or — more likely for broad queries requiring current information — search the internet to retrieve up-to-date, relevant data. It’s not just reading the top ten Google results; it’s reading way more broadly from lots of different sources.

Answer Synthesis

Finally, it amalgamates all that information to find what’s most relevant to answer your specific question, reformulates it into a response, and gives you an output that’s conversational and easy to understand, often broken down into bullet points for complex queries.

The result might suggest several destinations for long-haul travel (Kenya, Tanzania, South Africa for wildlife spotting) while advising against Costa Rica due to the rainy season. Or it might recommend staying closer to home with suggestions like seeing sea eagles in the Isle of Skye if that better fits your budget.

Where Are We Getting AI Search Today?

The AI Search landscape includes several key players, each with distinct characteristics:

ChatGPT — One of the most dominant large language models and AI Search platforms, which is why it’s often referenced most frequently. It’s the one most people have heard about first, making it the app they install on their phones.

Gemini — Owned by Google, this represents the tech giant’s major play in the AI Search space.

Perplexity — Increasingly popular for its transparent citation system and real-time web search capabilities.

Google AI Mode — Released on 20th May, it is currently in the US only and in labs in India. This represents Google’s chat interface version of AI Search, similar to ChatGPT but based on Google’s ecosystem.

Platform Preferences
The tool people use often comes down to personal preference or workplace requirements. Some have AI tools built into their work stack, while others choose based on popularity and familiarity.

However, different platforms excel in different areas:

• Perplexity shows what queries it’s broken down and what sources it’s cited, making the research process transparent
• ChatGPT keeps this process more hidden but offers strong conversational capabilities
• Claude excels at creative writing tasks
• AI Mode automatically decides how much real-time information to pull based on your query

Why Is AI Search So Important?

AI Search represents a shift as significant as the internet’s emergence in the 1990s. Businesses that adapt early will secure massive first-mover advantages, while those that don’t risk obsolescence — much like Yellow Pages and Blockbuster when they failed to embrace digital transformation.

The Scale of Change

The numbers tell a compelling story. ChatGPT reached 5 billion visits last month, while Google maintains around 105 billion visits. To put this in perspective — we’re not at the point where everyone abandons traditional SEO, but the trajectory is clear.

Semrush projects that AI Search will overtake traditional search around 2028 for SEO-focused searches. However, this assumes AI Mode doesn’t become Google’s default — which seems increasingly unlikely given current developments.

As Alphabet CEO Sundar Pichai recently stated, AI Mode is “coming faster than you think.” The US rollout is already live everywhere, and India’s inclusion in Google Labs signals rapid global expansion plans.

Why the Speed Matters

The search capabilities available when AI works in the background make everything faster, more thorough, more relevant, and more personalised than anything we’ve seen before.

Consider the difference in user experience: traditionally, you might open multiple browser tabs for different aspects of research — accommodation, flights, luggage requirements for specific airlines, local regulations. With AI Search, you can create what could be called “single-use queries” — highly personal, complex searches that only one person in the world is likely to make, yet still receive comprehensive, tailored responses.

When you can see AI Mode searching through 75 different websites and conducting multiple additional queries in the background for one complex search, the question becomes: why wouldn’t this become your default search method?

What Are the Differences Between AI Search and Traditional SEO?

The relationship between AI Search Optimisation and traditional SEO is nuanced. You absolutely need good underlying SEO to succeed in AI Search — all the core principles still apply.

SEO Fundamentals Still Matter

• Understanding keywords, topics, and key phrases people search for
• Creating valuable content around those topics
• Ensuring website structure is easy to navigate for both users and AI crawlers
• Building authority and trust signals

Where AI Search Differs

The nuances that make AI Search optimisation distinct include:

Content Structure and Delivery

• How you chunk up your content becomes crucial
• Providing direct answers under relevant headings
• Ensuring headings are structured as relevant questions
• Maintaining focus — not going too broad in topics you’re trying to rank for

Beyond Traditional Link Building

Digital PR evolution represents perhaps the biggest shift. Traditional SEO focused on getting links from high domain authority websites for “link juice” and authority signals.

AI Search understands much broader context:

• Brand mentions (not just hyperlinks)
• Content positioning across the web
• Article coverage about your business online
• Sentiment analysis of how you’re discussed

Platform Preferences

AI has preferences for different platforms and publications it likes to read and take information from. This requires research into which publications are most influential in your specific sector or niche.

Brand Integration

Brand recognition, visibility, and sentiment become much more important and are integrated into AI Search. This takes optimisation far beyond traditional SEO realms, where brand marketing was often considered “someone else’s job.”

The evolution can be summarised as: revenue-driving brand exposure via search marketing. It’s about getting mentioned and featured positively because those positive brand signals appear in AI Search results, not just links or website content.

Can Small Businesses Compete in AI Search?

This might be the most encouraging aspect of AI Search for smaller businesses and underdogs.

Traditional SEO and Google Ads have become intensely competitive. In industries like kitchens, bedrooms, and bathrooms, major players pour enormous budgets into securing top positions. This has made it incredibly difficult for smaller businesses to compete.

AI Search Works Differently

Recent Semrush research reveals that AI Search frequently references content from websites on page two, page three, or even further back in traditional search results. This happens because AI Searches for the most relevant content to specific queries rather than defaulting to the “best” results for the majority.

The Personalisation Advantage

Traditional Google search tries to deliver the best results for the majority because there are limited top spots and no AI behind those results. AI Search can deliver more personalised results.

The Niche Strategy

If you’re a smaller business that knows very clearly:

• Who your target customer is
• What you sell that you deliver exceptionally well
• Your specific market positioning

You can outcompete larger competitors by going “really hard” on positioning to that market.

Real-World Success Stories

Consider these examples:

Golf Course Lawn — When AI Mode went live, this lawn care product specialist beat Amazon in searches about kelp lawn fertiliser. The owner’s expertise in lawn care gave him advantages that Amazon — despite its scale — simply couldn’t match.

Zugu Case — This iPad case manufacturer consistently appears top in AI results for best iPad Air cases, often beating major retailers like Amazon, Argos, or Walmart. Their success comes from combining strong SEO and strategic PR translation into AI Search Optimisation.

The Expertise Factor
Amazon doesn’t have someone who can be an expert in every niche area. They’re so big and broad that they can’t demonstrate deep expertise about lawn care or iPad case design. This creates huge advantages for smaller businesses that can showcase genuine sector expertise.

The Speed Advantage
Smaller businesses possess a crucial advantage: agility. Large brands are often slower moving, with more red tape and complex approval processes for marketing investments. SMEs can move fast, and speed matters enormously when adapting to changes like AI Search evolution.

How Do You Know Where to Start with AI Search Optimisation?

The scope of AI Search Optimisation can feel overwhelming, but there’s a logical progression that makes it manageable.

Think Pyramid: Build from the Foundation Up

Foundation Level: Technical SEO

Start with foundational technical SEO. If your website is a mess, doesn’t work properly, or isn’t easy to use, no amount of advanced marketing will help. You must build this foundation before anything else.

Second Level: Strategic Content Creation

After establishing technical foundations, conduct keyword research — but think broader:

• Key phrases and topics, not just keywords
• Context around those topics
• Customer personas and their complete journey
• The research path customers take before reaching your website

The Backwards Method

Deconstruct what customers would have searched before reaching your website. Then go further back — what did they need to research before they even understood the concept of what you’re selling?

Create content that follows this entire journey, helping customers through each stage of their research and decision-making process.

Pyramid Peak: Strategic Brand Building

Once you have strong foundations and relevant, targeted content, focus on PR and brand building:

• Define what you want your brand to be known for
• Establish your brand voice
• Determine how you should be spoken about online
• Build consistent messaging across all touchpoints

This creates the overall impression people see when they first learn about your business — the comprehensive brand experience that AI Search will reference when making recommendations.

Implementation Priority

Don’t try to tackle everything simultaneously. Master each level before moving to the next. The businesses succeeding in AI Search are those taking systematic approaches rather than scattered efforts across multiple fronts.

Next Steps

AI Search isn’t coming — it’s here. While your competitors debate whether this technology matters, you have a window of opportunity to establish dominance in this new landscape.

Immediate Actions

1. Audit your technical SEO foundation — Ensure your website loads quickly, functions properly, and provides excellent user experience
2. Map your customer journey — Identify every research stage your customers go through before purchasing
3. Create comprehensive, contextual content — Address not just what you sell, but why it matters and how it solves specific problems
4. Develop your digital PR strategy — Focus on getting mentioned positively across relevant third-party platforms
5. Monitor AI Search results — Regularly test how your brand appears in ChatGPT, Perplexity, and Google AI Mode

Strategic Considerations

• Start with your strongest expertise areas rather than trying to optimise for everything
• Focus on quality over quantity — AI Search rewards depth and authority
• Build relationships with publications and platforms in your industry
• Ensure your customer service excellence translates into positive online reviews and mentions

Competitive Advantage Timeline

With Semrush projecting AI Search overtaking traditional search by 2028 (likely sooner), you have approximately three years maximum to establish your position. However, given Google’s aggressive AI Mode rollout and growing ChatGPT adoption, first-mover advantages are being established now.

The businesses that master AI Search Optimisation in the next 12-18 months will build market positions that become increasingly difficult for competitors to challenge.

In Conclusion

AI Search represents the most significant shift in customer discovery since the internet’s emergence. Your customers are already using it to research purchases and make decisions.

The opportunity is immense for businesses willing to move quickly. Unlike traditional SEO, AI Search rewards expertise and strategic positioning over budget size.

The question isn’t whether you should optimise for this new landscape — it’s whether you’ll lead the charge or follow behind.

Start now. Move fast. Your future market position depends on the actions you take in the next twelve months.

Watch This Next

One of the biggest impacts of these changes to how Google presents answers is a reduction in website traffic.

As more top-of-funnel informational and educational content is answer dynamically by Google, the question you may be asking is: should we still continue to create content for these top-of-funnel terms?

Our answer is very much: yes! Emphatically so. These “zero-click search” queries are just as important as ever for your business, even though the delivery of website traffic has decreased. To learn more, we highly recommend you watch the video below, or listen to the audio podcast instead: 58% of Google Clicks Are Gone. What Now?