The search landscape has fundamentally shifted. Three years ago, Google dominated everything. Today, UK businesses are asking a very different question: which generative AI platform should I optimise for? ChatGPT has become a household name with over 200 million weekly users. Perplexity is rapidly gaining ground in the research space. Google AI Overviews is embedded directly into Google Search itself. For businesses serious about organic visibility in 2026, understanding how each platform works – and crucially, how they differ – is no longer optional. It’s essential.
The challenge is that these platforms have different architectures, different citation models, and different user intent patterns. A strategy that wins citations in ChatGPT might not work for Google AI Overviews. A content approach optimised for Perplexity’s academic-leaning user base could miss entirely in Google’s mainstream search. This is where Generative Engine Optimisation (GEO) becomes critical. GEO is the practice of optimising your content to be discovered, cited, and ranked by artificial intelligence-powered search platforms. Unlike traditional Search Engine Optimisation (SEO), which focuses on ranking in blue-link results, GEO focuses on winning citations, attribution, and visibility within AI-generated answers.
In this guide, we’ll compare these three platforms directly, show you how they’re different, and help you build a realistic strategy that drives organic visibility across all of them. We’ll look at their architectures, how they source and cite information, their user demographics, and the practical tactics that actually work for each one.
Understanding the Three Generative AI Search Platforms and Their Core Differences
Before we compare strategies, you need to understand what each platform actually is. They’re more different than most UK businesses realise.
ChatGPT is a conversational Large Language Model (LLM) owned by OpenAI. It was released to the public in November 2022 and has become the most recognisable AI tool globally. ChatGPT has a web browsing feature that allows it to access the internet in real-time, but this is not its primary mode of operation. Most ChatGPT interactions draw from its training data, which has a knowledge cutoff. When ChatGPT does cite sources, it sometimes does so incorrectly – a problem known as hallucination. It will cite sources that don’t exist or misattribute information. This is crucial for your content strategy because it means ChatGPT citations are less reliable than citations from platforms designed specifically for search.
Perplexity is an AI-native search engine launched in 2023. Unlike ChatGPT, Perplexity was built specifically to search the web and answer questions with citations. It always retrieves real-time information and consistently cites sources. Perplexity’s user base tends to be younger, more technically sophisticated, and more likely to be researching academic topics, technical subjects, and business information. The platform has seen explosive growth – reaching an estimated 500 million monthly visits by mid-2024. For UK businesses in professional services, technology, education, and research-heavy sectors, Perplexity visibility has become increasingly important.
Google AI Overviews (formerly called Search Generative Experience or SGE) is Google’s integration of generative AI directly into its search results. When you search on Google in 2026, you’re increasingly likely to see an AI-generated answer at the top of the results page, complete with citations. This is the most important platform for most UK businesses because Google still dominates search traffic. Over 91% of UK internet searches go through Google. Google AI Overviews reach the broadest audience and have the highest commercial intent. However, Google AI Overviews have stricter citation requirements and are more likely to deprioritise untrustworthy sources.
The differences matter enormously for your strategy:
- ChatGPT is best for reach and brand awareness; users are asking open-ended questions and exploring ideas
- Perplexity is best for research credibility; users are specifically looking for sourced, fact-based answers
- Google AI Overviews is best for commercial intent; users are searching for products, services, and solutions they want to buy
Each platform weights authority, topicality, and freshness differently. Each has different citation mechanisms. And each requires slightly different content approaches if you want to be cited consistently.
How Each Platform Sources Information and Citations Differently
This is where things get technical – but understanding the mechanics is essential for optimising your content effectively.
ChatGPT’s web browsing feature works like this: when a user enables web browsing and asks a question, ChatGPT retrieves real-time search results, analyses them, and generates an answer. However, ChatGPT doesn’t have a transparent algorithm that prioritises certain sources over others. It appears to favour popular, well-known websites and resources from its training data. For citations, ChatGPT provides links at the end of responses, but these citations are sometimes incorrect or hallucinated. If you’re a small UK business with limited domain authority, getting cited by ChatGPT is harder because the model naturally gravitates towards established sources.
Perplexity operates on a completely different principle. It uses a retrieval-augmented generation (RAG) system combined with what appears to be a PageRank-like algorithm. When you ask a question on Perplexity, the system:
- Retrieves the top-ranking pages from across the web for that query
- Analyses the content and extracts relevant information
- Cites the specific URLs that contain that information
- Displays those citations prominently in the answer
This means that Perplexity citations are heavily weighted towards pages that already rank well in traditional Google Search. If you’re on the first page of Google for your target keyword, you’re much more likely to be cited by Perplexity. The platform also appears to favour fresher content and specific, detailed pages over generic homepage content. For UK businesses, this is actually good news – it means your traditional SEO efforts are directly contributing to your Perplexity visibility.
Google AI Overviews uses a system that’s more transparent because Google is required to disclose its methodology. Google AI Overviews generate answers using Google’s own LLMs (built on top of models like Gemini). The system prioritises pages that already rank well in Google Search, but it also considers E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness). Google AI Overviews will cite multiple sources, and the citations appear as clickable links. Importantly, Google has built in safeguards to prevent hallucination – if the AI can’t find reliable sources for something, it won’t make up an answer.
Here’s the critical insight: all three platforms prioritise existing search rankings, but to different degrees. Google AI Overviews and Perplexity are heavily influenced by traditional SEO. ChatGPT is somewhat independent of search rankings, which creates a unique opportunity for businesses that want to reach ChatGPT users even if they don’t rank in Google.
| Platform | Citation Mechanism | Source Ranking Influence | Hallucination Risk | Update Frequency |
|---|---|---|---|---|
| ChatGPT | Footnote links, sometimes incorrect | Moderate – influenced by training data and web browsing | High | Real-time (with web browsing enabled) |
| Perplexity | Inline and footer citations with URLs | Very high – heavily weighted to Google rankings | Low | Real-time |
| Google AI Overviews | Inline citations with attribution | Very high – based on Google rankings and E-E-A-T | Very low | Real-time to weekly |
Understanding this table is key. If you want to maximise citations across all three platforms, you need to focus on traditional SEO first (which helps with Perplexity and Google AI Overviews), then layer in content strategies that appeal to ChatGPT’s language model patterns.
Optimising for ChatGPT Citations – Strategies for Conversational Reach
Getting cited by ChatGPT requires a different approach than optimising for traditional search engines. ChatGPT users are having conversations, not running searches. They’re asking exploratory questions, seeking explanations, and looking for nuanced information. The best content for ChatGPT citations tends to be explanatory, accessible, and comprehensive.
First, understand ChatGPT’s user intent. ChatGPT users ask questions like
