AI search has quietly become the way a growing share of people find information, compare options and make decisions. It looks different from traditional search, behaves differently, and rewards a different kind of website preparation.
This guide explains what AI search actually is, how it works behind the scenes, how it compares with classic Google results, and what businesses need to do to be visible in it — the focus of our GEO and AEO services.
Key takeaways
- AI search generates a synthesised answer from retrieved sources rather than just listing links.
- Google AI Overviews, AI Mode, ChatGPT Search, Copilot, Perplexity and Gemini are all AI search surfaces.
- It changes user journeys: fewer clicks, but the clicks that happen are higher intent.
- Being cited depends on topical authority, clear answers, consistent entity data and technical accessibility.
- AI search visibility should be measured and optimised alongside — not instead of — traditional SEO.
What does AI search mean?
AI search means a search experience powered by generative AI, where the system interprets a question, pulls together information from multiple sources, and writes a direct answer. It sits at the intersection of traditional web search and conversational AI, and is sometimes described using related terms explored in what is GEO and AEO.
How does AI search work?
Most AI search systems follow a similar pipeline: understand what is being asked, retrieve relevant content, generate a written answer, and select which sources to cite. The details vary by platform, but the sequence is consistent.
Understanding a query
The system parses intent, entities and context — including previous turns in a conversation — rather than matching on keywords alone.
Retrieving information
It searches an index or the live web for passages likely to answer the question, often favouring pages with clear structure, strong topical relevance and credible authority.
Generating an answer
A language model synthesises the retrieved material into a coherent answer, blending multiple sources rather than reproducing one verbatim.
Selecting and citing sources
The system chooses a small number of sources to name or link, typically those it judges most directly relevant, well-structured and trustworthy for the specific claim being made.
AI search vs traditional Google search
| Aspect | Traditional search | AI search |
|---|---|---|
| Results format | List of ranked links | Written answer, sometimes with links |
| User journey | Click through and compare pages | Read the answer, click fewer sources |
| Personalisation | Limited, mostly by location and history | Can adapt to conversation context |
| Sources | Many results shown | A handful of cited sources |
| Click behaviour | Multiple clicks likely | Fewer clicks, but higher intent |
| Follow-up questions | New separate search | Often handled within the same conversation |
What are the main types of AI search?
Several distinct platforms now offer AI search, each with its own retrieval approach and audience.
Google AI Overviews
Summaries shown above traditional results for many queries, drawing on Google's index. See AI Overview optimisation for how to influence them.
Google AI Mode
A more conversational, multi-step search experience within Google, covered in how to rank in Google AI Mode.
ChatGPT Search
OpenAI's browsing-enabled search inside ChatGPT, which blends its own knowledge with live web retrieval — see our ChatGPT visibility work.
Microsoft Copilot
Integrated into Bing and Windows, Copilot generates answers with citations drawn largely from Bing's index.
Perplexity
An answer-first search engine built around citations, popular with researchers and comparison shoppers — see our Perplexity optimisation approach.
Gemini
Google's assistant, which can search the web directly within a conversation; our Gemini visibility services cover the specifics.
How are people using AI search?
- Research — building understanding of a topic before committing time or money.
- Product comparisons — asking which option suits a specific need or budget.
- Local recommendations — finding tradespeople, clinics or venues nearby.
- Professional services — shortlisting solicitors, accountants or agencies.
- Troubleshooting — solving a specific technical or practical problem.
- Purchasing decisions — a final check before buying, often naming a short list of brands.
How does AI search decide which businesses to mention?
AI search tends to favour businesses that are clearly described, consistently named across the web, and backed by independent evidence of expertise — reviews, press mentions, directories and original content. It is essentially judging trustworthiness and relevance from the same signals that underpin strong SEO and brand presence.
Will AI search replace traditional search engines?
Unlikely in full. Traditional results remain useful for transactional queries, local packs and browsing, while AI search is strongest for research and comparison questions. The more realistic outcome is coexistence, with AI-generated answers taking a growing share of informational queries.
What does AI search mean for website traffic?
Overall click volume from informational queries is falling as answers get resolved on the results page itself, but traffic that does arrive from AI search tends to be more qualified, because the user has already had a question answered and is clicking to go deeper or take action.
What does AI search mean for SEO?
SEO fundamentals — crawlability, authority, relevance and clear writing — remain the foundation. What changes is the added need to write extractable, well-structured answers and maintain consistent entity information, as explored in is AI SEO different to normal SEO and why good GEO and AEO is just good SEO.
How businesses can become visible in AI search
Becoming a source AI systems choose to cite means combining authority-building, content structure and technical accessibility.
Build topical authority
Cover a subject area in genuine depth so you are the obvious specialist an AI system can draw on.
Publish answer-focused content
Lead each page with a direct, extractable answer, following the approach in how to structure content for AI search and LLMs.
Strengthen brand signals
Keep a consistent name, description and positioning across every platform.
Earn independent mentions
Reviews, press coverage and directory listings act as third-party validation that AI systems weigh heavily.
Improve technical accessibility
Ensure pages are crawlable, fast and fully rendered so AI crawlers can read the content they need.
Keep information consistent
Contact details, service names and factual claims should match everywhere they appear, reducing the chance of an AI system citing outdated or conflicting information.
How to measure AI search visibility
Track a set of representative prompts across the main platforms to see whether your brand is named and cited, monitor AI referral traffic in analytics, and review server logs for AI crawler activity. This gives a practical picture of visibility beyond traditional rankings.
Preparing your website for the future of search
The businesses that adapt early — building authority, structuring content clearly and keeping information consistent — will be the ones AI systems trust as search continues to shift towards generated answers.
Frequently asked questions
Is ChatGPT an AI search engine?+
With browsing enabled, ChatGPT Search functions as an AI search engine, retrieving current web content and generating cited answers alongside its own trained knowledge.
Is Google AI Mode different from AI Overviews?+
Yes. AI Overviews are summaries shown above standard results, while AI Mode is a fuller conversational search experience that can run multiple steps and follow-up questions.
Does AI search use live internet results?+
Many AI search systems combine live web retrieval with the model's trained knowledge, though the balance varies by platform and query type.
Can businesses pay to appear in AI-generated answers?+
Generally no. Citations in generated answers are currently earned through relevance and authority rather than paid placement, although some platforms are trialling advertising formats.
What is generative engine optimisation?+
Generative engine optimisation, or GEO, is the practice of making a brand and its content easy for generative AI systems to retrieve, understand and cite in their answers.
Conclusion
AI search is no longer emerging — it is already shaping how customers research and decide. Preparing your website now, before competitors catch up, is the practical way to stay visible as the shift continues.
Talk to us about preparing your website for AI-powered search via our contact page, or explore our GEO and AEO services.
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