How Are ChatGPT & Perplexity Changing SEO Through AI Search Optimisation?

Introduction

Search behaviour has started to shift beneath the surface of traditional SEO. Instead of opening several Google results, users can now describe a problem to ChatGPT or Perplexity and continue refining the answer through follow-up questions.

That changes how people discover businesses and information. A potential customer might ask an AI tool to compare providers, explain a service or suggest what to look for before making a decision. The answer can then point them to selected sources rather than leaving them to work through a long list of results on their own.

Google is adapting too, with AI features bringing more conversational search into the results experience.

For businesses, this raises a bigger question than rankings alone: What happens when your brand is discovered through an AI answer before someone ever reaches your website? That is where AI search optimisation becomes increasingly relevant.

How Is AI Search Optimisation Changing the Traditional Search Journey?

Traditional search has usually followed a familiar route. Someone enters a query, scans the results, visits a few websites, and compares what they find before making a decision.

That process hasn’t disappeared. But the journey is becoming less linear.

The Traditional Search Journey

For years, SEO has focused heavily on this path:

Search query → Search results → Website visit → Comparison → Decision

A strong ranking could put a business directly in front of a potential customer. The website then had to do the rest by answering questions, proving credibility and making the next step clear.

That still matters. The change can occur before the website visit.

The Rise of AI-Assisted Search

With ChatGPT search and Perplexity search, users can describe a situation rather than rely on a short keyword phrase. They can ask a question, refine it, compare different options and examine the sources behind the response.

The journey can now look more like:

Question → AI answer → Follow-up → Sources → Shortlist

This creates another route to brand discovery. A business may be mentioned, referenced or used as a source before the user ever searches for its website directly.

From Ranking for a Query to Being Part of an Answer

This doesn’t make traditional rankings irrelevant. It changes what businesses need to consider alongside it. A page can rank for a valuable query. But can its information also help answer the question behind that query?

That is the wider role of AI search optimisation. The focus shifts from chasing a position alone to creating information that is clear, useful, and credible enough to contribute to an answer.

How Is ChatGPT Changing Search Behaviour?

ChatGPT is changing search in a more subtle way than simply giving users another place to ask questions. It is changing how people frame those questions in the first place. Instead of reducing a problem to a few keywords, users can explain what they need, add context and continue the conversation until they have enough information to make a decision.

That matters because the search journey becomes less about finding one page and more about building an answer.

From Keywords to Conversational Questions

Consider someone looking for a CRM for a growing UK business. With traditional search, they might begin with “best CRM software UK,” then run separate searches for pricing, integrations, features, and customer reviews.

A conversational search can bring those requirements together. The user might ask which CRM would suit a small sales team, what features are actually worth paying for and what questions they should ask before choosing a platform. The conversation can then move into more specific areas without the user having to rebuild the search each time.

This creates a different challenge for SEO. Content that targets only an isolated keyword may answer the surface query without addressing the broader problem behind it. Content with genuine depth can provide the context needed across several stages of the research process.

That is where ChatGPT’s search capabilities become relevant to the broader SEO and AI Search conversation.

Why Is Perplexity Search Putting More Attention on Sources?

Perplexity changes the search experience by putting the answer and its supporting sources much closer together. Rather than presenting a long list of pages for the user to work through, it searches the web, draws information from multiple sources and produces a conversational response with citations that users can inspect. Perplexity itself describes this as the role of an answer engine: finding sources, synthesising information and allowing users to check where the information came from.

That difference matters for SEO because the source is no longer sitting quietly behind the search result. It becomes part of the answer itself.

For a user researching a business, product, or service, this can change how trust is established. Instead of opening several websites and deciding which one looks credible, they may first read an AI-generated explanation and then follow the citations that support it. Perplexity’s own guidance also emphasises that users should be able to verify information through the linked sources.

Why AI Citations Matter

This doesn’t mean that an AI citation is the new version of a Google ranking. A citation does not guarantee traffic, enquiries or better organic positions.

Its value is different.

When a page is referenced in an AI-generated answer, its content contributes to the user’s understanding of the topic. That makes the quality of the underlying information increasingly relevant to AI search visibility.

A thin service page may contain the right keywords but leave important questions unanswered. A stronger page can explain the subject in depth, demonstrate first-hand expertise, clarify complex points and support factual claims with reliable evidence.

That gives the content more substance as a potential source.

For SEO professionals, this is the bigger shift. Perplexity search makes it harder to think about visibility as a simple race for rankings. Businesses also need to consider whether their information is clear, credible, and useful enough to earn attention as an AI system assembles an answer.

Are Rankings Still the Main Measure of SEO Success?

They still matter. A strong organic ranking can put a business in front of someone at the exact moment they are looking for a product, service or answer. Rankings, impressions, clicks, organic traffic and conversions remain useful measures because they show how effectively a website performs in traditional search.

But AI search is adding another layer to that picture.

A potential customer may now discover a brand through an AI-generated answer before visiting its website. They might see the company mentioned, follow a citation or come across its expertise while researching a broader question. That interaction may never appear as a conventional keyword ranking.

The difference becomes clearer when the two search environments are placed side by side:

Traditional SEO	AI Search Visibility
Keyword rankings	Brand mentions
Search impressions	AI-generated answers
Organic clicks	AI citations
Website traffic	Source visibility
Conversions	AI-assisted discovery

Neither side replaces the other. Traditional SEO still measures valuable search performance, while AI search visibility indicates where a brand may appear within a broader research journey.

From Rankings to Mentions and Citations

This doesn’t mean businesses should abandon ranking reports or start chasing every mention generated by an AI platform. That would make measurement less useful, not more.

The more sensible approach is to understand what happens before the click.

Someone could discover a business through an AI answer, remember its name, investigate the cited source and later return through a branded search. The eventual website visit may look like an ordinary organic or direct session, even though AI-assisted discovery influenced the journey beforehand.

That is why search visibility needs a broader view.

Why Topical Authority Matters

This also makes topical authority more valuable.

A website with a few pages built around commercial keywords may rank well for specific searches, but it can provide limited context about the subject. A stronger content ecosystem answers related questions, explains processes, addresses common concerns and demonstrates genuine knowledge across the topic.

Internal links can connect those ideas. First-hand experience can add depth. Consistent information can make the relationship between a brand and its subject area clearer.

Simply saying “we are experts” proves very little.

Showing that expertise through useful explanations, practical detail and well-supported information is far more convincing. That is valuable for readers first, but it also gives search systems more context when interpreting what a business knows and where it fits within a subject.

Where Does GEO SEO Fit Into This Change?

The rise of ChatGPT, Perplexity, and other AI-powered search experiences has changed how businesses need to think about search visibility. Traditional SEO still helps search engines discover, understand and rank web pages, but users are increasingly encountering information through AI-generated responses as well.

This is where GEO SEO fits in. GEO, or Generative Engine Optimisation, considers how useful information can be understood and potentially surfaced within AI-assisted search. It doesn’t replace the fundamentals of SEO. Instead, it adds another consideration to an already changing search journey.

What Is Generative Engine Optimisation?

The basic idea is straightforward: create information that is clear enough to understand, useful enough to answer a question and credible enough to trust.

For businesses, that means paying attention to areas such as:

Clear answers: Explain the subject directly rather than hiding the useful information behind vague marketing language.
Relevant context: Provide enough detail so the reader can understand how the information applies to their situation.
Demonstrated expertise: Use genuine knowledge, practical experience and specific insights rather than recycled explanations.
Supporting evidence: Back important factual claims with reliable sources where appropriate.
Useful structure: Organise information logically so related points are easy to follow and understand.

These aren’t entirely new SEO principles. Good content has always needed to be useful and trustworthy. The difference is that AI search can bring information from several sources together before presenting an answer, making the clarity and depth of those sources more significant.

Does GEO Replace Traditional SEO?

No. A GEO strategy cannot compensate for a website that has weak SEO foundations. Businesses still need technically accessible websites, crawlable and indexable pages, sensible site architecture, relevant content, and strong internal linking. Authority and first-hand expertise remain important too.

The difference is the additional layer of visibility. Traditional SEO focuses heavily on helping content appear in conventional search. GEO SEO considers how that same information may be understood and used within AI-generated answers.

That makes GEO an extension of SEO, not a replacement for it. The strongest approach is to build content that works for the person reading it first, while giving search systems enough context to understand what the content actually offers.

What Does AI Search Optimisation Mean for Businesses?

The rise of AI-assisted search doesn’t mean businesses need to rebuild their SEO strategy from scratch. It does mean they need to look more closely at what happens after someone searches for a problem, service or product.

A page may rank well and still provide little useful information beyond the target keyword. In an AI-assisted search environment, that becomes a missed opportunity. If a system is trying to understand a subject, compare information and produce a useful response, vague claims and shallow content give it very little context to work with.

Therefore less about creating content for machines and more about making a business’s expertise easier to understand across different search experiences.

How Businesses Can Adapt

For businesses working on SEO for AI search, the most useful changes are usually practical rather than technical tricks.

Answer the question behind the search. Don’t stop at the keyword. Explain the problem, decision, or concern that led someone to search in the first place.
Build depth around important subjects. Connect service pages, guides, FAQs, and supporting content so the website demonstrates knowledge rather than isolated keyword targeting.
Show genuine expertise. Explain processes, give practical detail, and include insights that come from real experience. This gives the content substance that generic summaries often lack.
Make important information easy to verify. Where you make factual, technical, or statistical claims, provide appropriate evidence and credible sources.
Strengthen the brand’s wider context. Keep important business information consistent across the website and relevant external sources. A clear connection between the business and its areas of expertise makes the overall picture easier to understand.
Keep the technical foundations strong. Crawlability, indexability, internal linking, and sensible website architecture still matter. AI search doesn’t remove the need for a technically sound website.
Look beyond rankings when measuring visibility. Continue tracking rankings, traffic, and conversions, but also consider whether the brand is being mentioned, referenced, or discovered during AI-assisted research.

What Does the Evidence Really Tell Us

The evidence points towards a changing search environment rather than the death of traditional SEO.

ChatGPT Search can search the web and return source links. Perplexity has built its answer-engine experience around web research and citations. Google is also embedding conversational AI deeper into Search through AI Overviews and AI Mode.

Google’s own reporting makes the shift particularly clear. In 2026, Google said AI Mode had surpassed one billion monthly active users globally and that queries in AI Mode had more than doubled each quarter since launch.

That doesn’t prove every searcher is abandoning traditional results. It proves something more useful: AI-assisted search is becoming a substantial part of the search experience.

A Realistic Search Example

Consider someone looking for a specialist service in the UK. Previously, they might search Google, open five websites, and compare experiences, services, reviews, and locations.

Now they could ask ChatGPT or Perplexity what they should look for in a provider. They might ask for a shortlist, challenge the recommendations, and inspect the sources behind the answer.

The final decision may still happen on a company’s website. But the discovery process started somewhere else. That is the important change. The website visit hasn’t disappeared. It may simply happen later in the journey.

How Should SEO Teams Adapt?

The rise of AI search doesn’t call for a complete rewrite of SEO. It calls for a broader view of where search visibility happens and how people move from a question to a decision.

Google still sends valuable traffic. Traditional keyword research still helps uncover demand. Technical SEO still determines whether important pages can be discovered and indexed. The mistake would be to treat AI search as either a passing trend or a replacement for everything that came before it.

Instead, SEO teams should examine whether their content works across the full search journey. A useful page should answer the question behind the query, not simply contain the phrase someone searched. It should give enough context to explain the subject, demonstrate genuine expertise and help the reader decide what to do next.

This is the approach Midland Marketing takes with SEO and Generative Engine Optimisation, looking beyond traditional rankings to understand how a brand is represented across search, AI-generated answers and the wider research journey. Its GEO strategy combines content, topical authority, entity clarity and technical foundations rather than treating AI visibility as a separate tactic.

That changes how content should be evaluated. A page can rank well for an important keyword and still leave the reader searching for a better answer. Another page might attract less initial attention but explain the issue so clearly that the reader remembers the brand, shares the information or returns when they are ready to make a decision.

That is the kind of distinction SEO teams need to pay attention to as AI-assisted discovery develops. The strongest strategy isn’t to “write for AI.” It is to create information that works for people first, while remaining clear and well-supported enough for search systems to understand.

SEO Isn't Disappearing - Search Visibility Is Expanding

The arrival of ChatGPT and Perplexity hasn’t made traditional SEO less useful. It has made the search landscape larger.

A potential customer might still discover a business through a conventional Google result. They might encounter it through an AI Overview, see it referenced in a ChatGPT response, follow a citation in Perplexity, or come across the brand while researching a broader question through an AI-assisted search experience.

The path is no longer always:

Search → Click → Website → Decision

Sometimes, there are several interactions before the website visit even happens. That doesn’t make rankings irrelevant. It means rankings are now one part of a wider visibility picture.

This is where SEO, GEO and AI search in optimisation begin to overlap. The fundamentals remain familiar: useful content, technical accessibility, genuine expertise, clear information and credible sources. What changes is the number of environments in which those qualities can influence discovery.

For businesses, the goal shouldn’t be to chase every new AI interface or manufacture mentions wherever possible. It should be to build information that people genuinely want to use and that search systems can understand with confidence.

The future of SEO isn’t about choosing between traditional search and AI search. It’s about being visible wherever the customer starts looking.

Conclusion

ChatGPT and Perplexity are not replacing SEO. They are changing the journey that happens around it. A business can still earn valuable traffic through Google, but a potential customer may now discover its expertise through an AI-generated answer, a recommendation or a cited source before reaching the website.

That makes search visibility broader than a single ranking position.

For SEO teams, the response shouldn’t be to abandon proven practices or chase every new AI platform. Strong technical foundations, useful content, topical authority and genuine expertise still matter. What changes is the need to make those strengths visible across different search environments.

This is where AI search optimisation fits. It brings traditional SEO and emerging AI search together, helping businesses create information that people can trust and search systems can understand.

The goal isn’t to optimise for one platform. It’s to build a brand worth finding wherever the search begins.

Frequently Asked Questions

What is AI search optimisation?

AI search optimisation is the practice of making a brand’s online information clear, useful, authoritative and easy for AI-assisted search systems to understand and potentially reference.

How is ChatGPT changing SEO?

ChatGPT is making search more conversational. Users can ask detailed questions, follow up, and use web search to access up-to-date information and sources.

How does Perplexity affect SEO?

Perplexity combines web research with direct answers and source citations. This makes source credibility and the usefulness of published information particularly relevant to AI-assisted discovery.

Is GEO SEO replacing traditional SEO?

No. GEO SEO complements traditional SEO. Technical accessibility, crawlability, indexability, relevant content, authority and strong website architecture remain important.

Does Google ranking still matter for AI search?

Yes. Google continues to use its core search systems while adding AI-powered experiences that connect users with web content and sources. AI search should be treated as an additional discovery layer, not a replacement for conventional SEO.

How can businesses improve AI search visibility?

Start with useful, expert-led content. Answer genuine customer questions, build topical depth, demonstrate first-hand expertise, support important claims with credible sources and maintain strong technical SEO.

Written by - Lauren Davison

Introducing Lauren – one of our content writers who has a flair for SEO and creative strategy!

With a Master’s Degree in Creative Writing, Lauren has niched down into SEO and content writing.

Outside of work, she loves watching the darts, reading and the pub on the weekend.