The way we search online is changing quickly. With the rise of AI-powered tools like ChatGPT, Google’s AI Overviews, and other generative search experiences, businesses are asking the same question: do we need to rethink SEO entirely?
The short answer is no.
The longer answer is… more interesting. While AI search is changing how people find information, the fundamentals of good SEO haven’t disappeared. And in many cases, they’ve become even more important.
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What is traditional SEO?
Traditional SEO is the process of improving your website so it ranks well in search engines like Google and Bing.
It covers things like:
- Creating useful, relevant content
- Optimising pages for keywords people are searching for
- Improving technical performance (speed, mobile usability, structure)
- Earning links and building authority
The goal is essentially to show up when potential customers are actively searching for what you offer. These are often high-intent, transactional searches. You know, the kind that leads directly to enquiries and purchases – and, therefore, revenue.
What is AI SEO?
AI SEO (sometimes called Generative Engine Optimisation or GEO) focuses on how your content appears in AI-generated answers.
Instead of showing a list of links to websites like Google does, AI tools summarise information and present it directly to users, without them needing to click through to any other website.
Within these tools, your content might be:
- Quoted or referenced in an AI answer
- Used to train or inform responses
- Suggested as a source for further reading
The key goal for AI optimisation is to make sure your content is understood, trusted and selected by these tools.
In practice, this often looks like:
- Clear, well-structured content
- Demonstrating expertise and credibility
- Answering questions directly and accurately
- Building a strong, consistent online presence
Starting to notice the overlap?
AI SEO vs traditional SEO: key differences
While a lot of the things the gurus are touting as AI SEO are in fact just good, traditional SEO, there are a few differences.
The biggest difference being that, in AI search, users ask questions or seek out informational content. And once they’ve been served the answer, they tend not to click through to your website to find out more. Lots of websites that relied on informational blog content to drive their traffic have seen a sudden, sharp decline as a result.
That said, there is significant overlap between the two.
Here’s a simple side-by-side table we’ve put together to clearly show the similarities and differences.
| Aspect | Traditional SEO | AI SEO (GEO) | What's the same? |
|---|---|---|---|
| Primary goal | Rank in search engine results pages (SERPs) | Be referenced or used in AI-generated answers | Visibility in search, driving awareness |
| User intent | Often transactional or navigational (ready to act) | Mostly informational (research and discovery) | Both serve users at different stages of the journey |
| Search format | List of links on the search engine results page | Summarised answers with sources | Both rely on relevant, high-quality content |
| Click behaviour | Click-through is essential users to find the information they’re looking for | Clicks are less predictable | Strong content increases chances of engagement |
| Content focus | Keyword targeting and search demand | Clear answers, context, and topical depth | Content still needs to be useful, accurate, and relevant across both search channels |
| Ranking factors | Keywords, backlinks, technical SEO, UX | Authority, clarity, trust, entity recognition | Authority and credibility matter in both |
| Control level | More direct influence over rankings | Less control over how content is used | Optimisation still improves visibility overall |
| Measurement | Rankings, traffic, conversions | Mentions, visibility, assisted traffic | Ultimately tied to business outcomes |
| Time to impact | Can take time but is measurable | Still emerging, less predictable | Both benefit from long-term consistency |
| Role in sales funnel | Captures high-intent, conversion-ready users | Supports early-stage research and awareness | Both contribute to the full customer journey |
| Technical requirements | Site speed, crawlability, structure | Structured, well-organised, easily interpretable content | Strong technical foundations help both |
| Content structure | Optimised pages targeting keywords | Structured, concise, question-led content | Clear structure improves performance everywhere |
Does traditional search still matter?
Arguably, it matters more than ever.
AI search is largely informational. People use it to explore topics, get quick answers, compare and understand their options. It’s targeting users right at the very top of the sales funnel.
But when it comes to making a decision – like choosing a supplier, getting a quote or making an online purchase – users are still turning to traditional search and clicking through to your website.Â
A recent consumer study found that while nearly half of shoppers (49%) had purchased something because of an AI recommendation (at the research phase), there is still some skepticism about just how trustworthy AI responses are. 40% of respondents said they were neutral or unsure, and 23% expressed some level of distrust (either ‘not much’ or ‘not at all’).
So while AI might shape early research, traditional SEO remains critical for capturing demand and converting it into business.
The hype vs reality of ‘AI SEO’
There’s a lot of noise around AI SEO at the moment. Some of it suggests a complete shift away from traditional search.
But in reality, we’re not seeing it as an entirely new way of working – instead, it’s an addition to what we know already works.
AI search is another layer in how people discover information. It changes behaviour at the research stage, but it doesn’t remove the need for websites, rankings, or strong search visibility.
If anything, it raises the bar. Content needs to be genuinely useful, clearly written and backed by real expertise. Just like the best SEOs have been doing for years.
How to future-proof your website for AI search
The best approach is not to chase trends but to double down on what already works. We’re not saying don’t try anything new. On the contrary, make small tweaks, trial things – but make sure you measure the results so you can pinpoint what’s genuinely driving change on your website.
Here are some top tips.
Focus on what’s still important
The fundamentals of SEO are still doing the heavy lifting:
- High-quality, original content
- Clear site structure and internal linking
- Strong technical performance
- Demonstrable expertise and trust signals
If your SEO is in a good place, you’re already well-positioned for AI search. The same qualities that help you rank also help AI systems understand and use your content.
Adapt to what’s new
Where AI changes things is in how content is interpreted.
To stay competitive:
- Write in a clear, natural way that directly answers questions
- Structure content logically with headings and concise sections
- Cover topics in depth, not just surface-level keywords
- Build a consistent brand presence across your website and other platforms
The easiest way to do this is to think less about ‘optimising for AI’, and more about making your content easy to interpret (and hard to ignore).
Common mistakes - and how to avoid them
One of the biggest mistakes is treating AI SEO as something completely separate.
In reality, trying to optimise purely for AI – without strong SEO fundamentals – is unlikely to deliver results.
Other common issues include:
- Overproducing low-quality, AI-generated content
- Ignoring technical SEO
- Chasing trends instead of focusing on user intent
- Neglecting conversion-focused pages in favour of informational content
The fix is usually straightforward: refocus on your audience and what they actually need at each stage of their journey.
How to use AI for SEO
As well as changing the way we search, AI is also changing the way we do SEO. While you still need to know how to optimise your site for search, when used properly, AI is a great tool for saving time. Especially during the research phase of your project.Â
But a word of warning: when used poorly AI can flood your site with generic, unhelpful and unoriginal content that won’t rank or convert.Â
1. Research and understand what your audience is actually searching for
AI is particularly useful at the early stages of SEO for helping you make sense of topics, questions and understanding search intent.
You can use it to:
- Expand on keyword ideas and uncover related queries
- Group topics into logical clusters
- Identify the types of questions people ask at different stages of the buying journey
- Get an understanding of how your brand or website is currently perceived
This is especially valuable for AI search, where queries tend to be more conversational. Instead of just targeting short keywords, you can build content around real questions your audience is asking.
That said, AI shouldn’t replace proper keyword research tools or real data. It’s best used to enhance and interpret, rather than defining your entire strategy on its own. Always check AI’s recommended target keywords on your usual tools for more accurate search volume.
2. Create better content, faster - but not blindly
AI can help speed up content production, but quality control is where most businesses fall down.
It’s useful for:
- Drafting outlines and first versions of content
- Rewriting sections for clarity
- Suggesting headings and structure
- Summarising complex topics
- Evaluating what’s working well for your competitors
- Identifying gaps in your content strategy
Where you need to be careful is publishing content that hasn’t been properly reviewed. Both search engines and AI systems are getting better at identifying thin, generic or repetitive content – and penalising websites for it.
The most effective approach is to use AI to get started. Then, layer in your own expertise, examples and opinions. After that, make sure to edit and proofread your piece for clarity, accuracy and tone of voice.
3. Structure content so it works for both search engines and AI
One of the biggest advantages of AI tools is how they encourage clearer, more structured writing.
Content that performs well today tends to:
- Answer questions directly and early – no more scrolling through wordy intros on blogs before reaching the actual answer!
- Use clear headings and logical sections
- Avoid unnecessary jargon
- Stay focused on a specific topic
This isn’t new for SEO. But it’s even more important for AI search, where systems are scanning content to extract meaning and summarise it.
AI can help you sense-check structure and readability, but really, your goal should be to make your content as easy to understand and as easy to use as possible.
4. Identify gaps and opportunities on your website
AI is particularly good at spotting what’s missing.
You can use it to:
- Audit your existing content and highlight gaps
- Compare your pages against competitors’
- Find areas where you’re not fully answering user questions
- Generate ideas for supporting content (blogs, FAQs, guides)
This helps you move beyond one-off blog posts and build a more complete content strategy, which is something that benefits both traditional rankings and AI visibility.
5. Support technical and on-page SEO tasks
While AI won’t replace technical SEO expertise, it can make day-to-day tasks more efficient.
For example:
- Generating meta descriptions and title tag variations
- Writing alt text for images
- Creating schema markup drafts
- Checking internal linking opportunities
These are often time-consuming tasks that AI can speed up, freeing up your team to focus on the juicy bits like strategy and performance instead.
6. Keep the focus on outcomes, not output
It’s easy to fall into the trap of producing more content simply because AI makes it faster. But crucially, more content doesn’t automatically mean better results.
What matters is:
- Are you attracting the right audience?
- Are those users taking action?
- Is your content helping generate leads or enquiries?
AI can help you do SEO more efficiently, but it doesn’t change the end goal. The focus should always be on performance, not just throwing everything you’ve got at a wall and hoping something sticks.
In summary
AI is reshaping how people search, but it hasn’t replaced traditional SEO. If anything, it reinforces its importance.
AI search tends to sit at the research stage, where users are gathering information. Whereas traditional search is where decisions happen – and where leads are generated.
For businesses, that means the priority remains the same: be visible where your customers are looking for you, provide real, valuable information, and once you’ve got them on your website, make them convert.
Adapting to new search behaviour is important, but it shouldn’t come at the expense of what already works.
And if you’re doing good SEO, you’re already most of the way there.
Worried your website is falling behind in the newest era of AI search? Speak with our SEO team to find out just how visible you are – and how to drive better leads through traditional and AI search. Or, why not check out some of the clients we’re already getting great organic results for?
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