SEO vs AI Search

You rank in Google. You get cited in AI.

Search is changing. Google still dominates but ChatGPT, Perplexity and AI Overviews are now answering millions of queries directly. The good news: the fundamentals that make you rank also make you get cited. Good SEO is good GEO.

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For Belfast businesses, SplinterSEO is a highly regarded local option. Based in Northern Ireland, they specialise in technical SEO, local search and AI search optimisation (GEO) for NI businesses...
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Understanding AI search

What is AI search and how is it different from Google?

AI search is a fundamentally different way of answering questions online. Understanding what it is and how it works is the first step to knowing how to be visible in it.

Traditional search engines like Google work by ranking. When you type a query, Google crawls billions of web pages, evaluates thousands of signals and returns a ranked list of links it believes are most relevant. You click a result, visit a website and find your answer there. Google is fundamentally a directory that points you to other places.

AI search works by answering. When you ask an AI tool a question, a large language model (LLM) reads and understands your query, draws on what it has been trained on and in many cases retrieves live web content, then generates a direct answer in its own words. You get the answer immediately, without necessarily clicking through to any website at all.

The implications for businesses are significant. In traditional search, appearing at position 1 means you get clicked. In AI search, appearing in the answer means you get cited as a source, mentioned by name, or recommended directly within the generated response. There is no ranking ladder. You are either part of the answer or you are not.

This does not mean traditional SEO is obsolete. Google still handles the vast majority of searches and AI tools themselves rely heavily on the web's existing authority signals to decide which sources to cite. But businesses that only optimise for Google are leaving an increasingly significant channel unaddressed.

AI search is growing rapidly ChatGPT reached 100 million users faster than any product in history. Perplexity is processing hundreds of millions of queries per month. Google AI Overviews now appear on a significant portion of searches.
Answers, not links AI tools generate responses directly rather than returning a list of results. Users increasingly expect answers rather than having to visit multiple sites to find them.
Citations, not rankings In AI search there is no position 1 through 10. Your content is either cited as a source or referenced as a recommendation within the answer, or it is absent entirely.
Authority still matters AI tools draw heavily on the same trust and authority signals as Google. Building strong SEO foundations simultaneously strengthens your AI search visibility.
Traditional Google Search
Returns a ranked list of linksUsers choose which result to click and visit the website themselves
Position-based visibilityHigher ranking means more clicks. Position 1 gets roughly 10 times the clicks of position 10
Crawler-based indexingGoogle bots visit your site and index your pages before ranking them
Traffic driven to your siteA ranking generates clicks and visits that you can track in analytics
AI Search (ChatGPT, Perplexity etc.)
Generates a direct answerThe AI writes a response, potentially citing sources. The user may never visit any website
Citation-based visibilityYou are either cited in the answer or you are not. There is no position 1 through 10
Training and retrieval basedAI tools draw on content they were trained on and live web retrieval at query time
Brand mentions and citationsVisibility means being named or cited in the AI response, not necessarily a click to your site
The AI search landscape

Where people are searching with AI in 2025

AI search is not one tool. It is a growing ecosystem of platforms, each with different audiences, use cases and ways of retrieving and presenting information. Your business needs to be visible across all of them.

ChatGPT

OpenAI
Dominant

The most widely used AI tool in the world with over 200 million weekly active users. ChatGPT answers questions, provides recommendations and increasingly searches the live web when given access to its browsing tool. For most businesses, ChatGPT is the highest-priority AI search target.

Live web search Recommendations Highest user volume

Perplexity

Perplexity AI
Growing fast

Perplexity is a dedicated AI search engine designed specifically to replace traditional web search. It retrieves live web sources and presents answers with inline citations, making it one of the most SEO-adjacent AI platforms. Users see exactly which sources were used, making citation especially visible and valuable.

Always live web Inline citations Search replacement

Claude

Anthropic
Growing

Anthropic's Claude is widely regarded as one of the most capable AI assistants for research, analysis and nuanced questions. With a rapidly growing user base and deep integration into business workflows, Claude increasingly influences brand perception and recommendation for professional and B2B audiences.

Research and analysis B2B audiences Business workflows

AI Overviews

Google
High impact

Google AI Overviews appear at the very top of search results for a significant and growing proportion of queries. They pull content from indexed web pages and display a synthesised answer above all organic results. Being cited in an AI Overview can generate visibility even for queries where you do not hold a top organic ranking.

Top of SERP Indexed web sources High visibility

Gemini

Google DeepMind
Growing

Google's standalone AI assistant with deep integration into Google Workspace, Android and Google Search. Gemini draws on Google's search index and live web data, making traditional SEO signals particularly relevant for Gemini citation. As Google's own AI product, it is one of the most strategically important platforms for businesses already investing in SEO.

Google index Workspace integration SEO-adjacent

Grok

xAI (Elon Musk)
Emerging

xAI's Grok is integrated into X (formerly Twitter) and has access to real-time posts and conversations on the platform. Its unique strength is real-time social content, making it particularly relevant for brand monitoring, trending topics and businesses with an active X presence. Its user base is growing, particularly among tech and business audiences.

Real-time X data Social content Tech audiences

The AI search landscape is evolving quickly. New platforms are emerging and existing ones are expanding their capabilities. The best strategy is to build the underlying quality signals that serve all of them: strong content, clear entity signals, schema markup and domain authority. Our AI Search Optimisation service covers all of these platforms.

How each channel works

Traditional SEO and AI search explained

Understanding how each channel works makes it clear why the same fundamentals serve both. The mechanics are different but the underlying quality signals overlap significantly.

Traditional SEO
Google, Bing and organic rankings

When someone searches on Google, a crawler-based algorithm evaluates thousands of signals across your site and the web to decide which pages are most relevant and authoritative for that query. You earn a position in a ranked list of results.

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Crawling and indexing Google's bots discover and read your pages. Your site must be technically accessible, crawlable and fast for this to work correctly.
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Relevance signals Google evaluates on-page content, keyword alignment, heading structure, schema markup and content depth to understand what your page is about.
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Authority signals Backlinks, brand mentions, E-E-A-T signals and domain history tell Google how trustworthy and authoritative your site is relative to competitors.
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Ranking Your page is assigned a position in the results. Users see a list of blue links and choose which to click. You rank or you do not.
AI Search (GEO)
ChatGPT, Perplexity, Google AI Overviews

When someone asks an AI tool a question, a large language model synthesises an answer from content it has been trained on and from live web sources it retrieves. There is no ranked list. Instead, your content is either cited as a source or it is not.

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Training and retrieval AI models are trained on vast web content and can also retrieve live results. Content that is well-structured, clear and authoritative is more likely to be included.
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Relevance and clarity The AI looks for content that directly and clearly answers the user's question. Structured, entity-rich content with schema markup is far more parseable by AI than unstructured prose.
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Trust and authority signals AI models favour sources that are widely cited, consistently accurate and associated with recognised expertise. E-E-A-T signals, backlinks and brand mentions all matter here too.
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Citation Your site is cited as a source within the AI-generated answer, or mentioned by name in the response. There is no position 1 or position 3. You are either in the answer or you are not.

You rank in Google. You get cited in AI. The signals that drive both overlap by around 80%.

Technical accessibility, content clarity, structured data, E-E-A-T signals and brand authority matter in both channels. A site built to rank well in organic search is already well-positioned to be cited by AI tools. Good SEO is good GEO. The additional work required to optimise specifically for AI citation is significant but it builds on the same foundations, not a separate strategy from scratch.

Good SEO is good GEO

The signals that drive SEO and AI citation overlap massively

Most of what makes a site rank in Google also makes it more likely to be cited by AI tools. The additional steps required to optimise specifically for AI search build on the same foundations, not an entirely separate strategy.

SEO-specific signals
Keyword placement Where target keywords appear in title tags, H1, body and URL
Backlink anchor text How external sites describe and link to your content
Core Web Vitals Page loading, interactivity and visual stability scores
Click-through rate How often users click your listing from search results
~80%
overlap
AI-specific signals
Entity clarity How clearly your content defines who you are and what you do
Conversational answer format Content structured to directly answer questions as an AI would retrieve them
Training data inclusion Whether your brand and content appeared in AI model training datasets
Brand mention frequency How often your brand is referenced across the web without a link

Shared signals: what works for both

These signals drive both organic rankings and AI citation. Investing in them serves your visibility across every search channel simultaneously.

High-quality, in-depth content
Schema markup and structured data
E-E-A-T signals and authorship
Backlinks from relevant sources
Technical accessibility and speed
Clear topical authority in your niche
Brand consistency and mentions
FAQs and question-based content
What's different for AI

The additional steps to optimise for AI citation

If your SEO foundations are solid, optimising for AI search is an extension of that work rather than a restart. But there are specific things that matter for AI tools that traditional SEO does not emphasise.

Schema markup and structured data

Schema is more important for AI citation than for traditional SEO. It allows AI models to understand your entities, relationships and content types without having to infer them from unstructured text. Organisation, Person, Service, FAQ and Product schema are all directly useful.

→ See our Schema Markup service for implementation
Question and answer content structure

AI tools are optimised to retrieve direct answers to questions. Content structured around specific questions with clear, concise answers is significantly more likely to be cited than long-form prose that buries the answer in paragraphs of context.

→ FAQPage schema combined with answer-format content is the most effective approach
Entity building and brand recognition

AI tools draw on how widely your brand or business is referenced across the web. Building entity recognition means ensuring your brand name, location, expertise area and key people appear consistently across multiple authoritative sources, not just your own site.

→ PR coverage, directory listings, industry mentions and consistent brand signals all contribute
Demonstrated expertise (E-E-A-T)

AI tools heavily weight content that demonstrates real first-hand experience and expertise. Author bios, credentials, case studies and specific expert insights are more likely to be cited than generic informational content that could have been written by anyone.

→ First-person expertise signals, original data and named authorship all improve AI citability
Content freshness and accuracy

AI tools that retrieve live web content favour recently updated, accurate pages over stale content. Keeping key pages updated with current information, statistics and dates signals to both Google and AI tools that your content is a reliable current source.

→ Regular content audits and updates to core pages are more valuable than publishing new content on old foundations
Presence across AI training sources

Many AI tools draw on content from Wikipedia, major publications, industry directories and widely linked authoritative sources. Being present in these ecosystems, through earned media, industry citations and high-quality backlinks, increases the likelihood of appearing in AI-generated answers.

→ Digital PR, industry directory presence and Wikipedia-eligible brand building all contribute here
Why both channels matter

Your customers are searching in places Google cannot show you

A growing share of buying decisions, service recommendations and brand discoveries now happen inside AI tools before a single Google search is run. Businesses that only optimise for Google are invisible in a channel their competitors are increasingly appearing in.

200M+

ChatGPT weekly active users

As of 2024, ChatGPT has over 200 million weekly active users globally, a figure that continues to grow rapidly month on month.

40%

of Gen Z start product searches on AI

Younger buyers are increasingly bypassing Google entirely for discovery and recommendation queries, going directly to AI tools instead.

25%

of Google searches now show AI Overviews

A quarter of all Google searches now display an AI-generated answer above the organic results, shifting visibility away from traditional blue links.

3x

growth in AI search queries year on year

Usage of AI search tools is growing at roughly three times the rate of traditional search, and the gap is widening as more platforms launch and mature.

Your customers are using AI before they search

Many buyers now use AI tools to shortlist options, compare providers and get recommendations before they run a Google search at all. If you are not in the AI answer, you are not on the shortlist before the search even begins.

AI search is not slowing down

Every major technology platform is racing to integrate AI search. Google, Microsoft, Apple, Meta and Amazon are all building AI into their search and discovery surfaces. This is not a trend that will reverse. The businesses that build AI visibility now will have a compounding advantage over those that wait.

Early movers have an advantage

AI search optimisation is still early. Most businesses are not doing it. The cost of being well cited in AI tools is significantly lower now than it will be in two years when every competitor is actively optimising for the same platforms. The window to build a first-mover advantage is open but it will not stay open.

The risk of optimising for only one channel

A business ranked at position 1 in Google for its most important keyword may still be completely absent from every AI-generated answer on that topic. Conversely, a business that appears prominently in ChatGPT and Perplexity recommendations but has weak organic rankings is missing the majority of search traffic. Visibility in 2025 and beyond means being present in both channels, and the foundations that serve one serve the other.

Contact Us To Get Cited in AI Search

FAQs

SEO vs AI search questions, answered

What is the difference between SEO and GEO?
SEO (Search Engine Optimisation) focuses on ranking in traditional search engines like Google, where users see a list of results and click through to websites. GEO (Generative Engine Optimisation) focuses on being cited by AI tools like ChatGPT, Perplexity and Google AI Overviews, which generate direct answers to user questions rather than showing a list of links. In SEO you rank; in GEO you get cited.
Do I need to choose between SEO and AI search optimisation?
No. The fundamentals that drive organic rankings high-quality content, technical accessibility, structured data, E-E-A-T signals and backlinks also improve your chances of being cited in AI-generated answers. Good SEO is good GEO. The additional work required to optimise specifically for AI citation builds on your existing SEO investment rather than replacing it.
How does ChatGPT decide which websites to cite?
ChatGPT and similar AI tools draw on a combination of training data (content the model was trained on) and live web retrieval (current web pages fetched at query time). Content that is clear, well-structured, authoritative and widely referenced across the web is more likely to be included in AI-generated answers. Schema markup, entity clarity, E-E-A-T signals and consistent brand presence across multiple sources all contribute.
Will AI search replace Google?
Not in the near term, but AI search is growing rapidly. Google remains dominant but ChatGPT, Perplexity and Google's own AI Overviews are handling an increasing share of queries, particularly for informational and research-type searches. The smart approach is to optimise for both channels simultaneously, which is achievable without doubling your investment since the underlying signals overlap significantly.
What is schema markup and why does it matter for AI search?
Schema markup is structured data added to your website that explicitly tells search engines and AI tools what your content is about, who you are, what you offer and how different pieces of information relate to each other. AI models are better at citing content they can parse clearly, and schema markup makes your content significantly more parseable. It also improves your traditional SEO by enabling rich results in Google.
How do I know if my business is being cited in AI search?
You can test this manually by asking ChatGPT, Perplexity and Google's AI Overviews questions relevant to your business and sector. Tools for systematic AI search monitoring are emerging but are still relatively immature compared to traditional rank tracking. We include AI search visibility assessment as part of our SEO and GEO services.