Direct answer: Traditional search ads respond to typed search intent on a results page. Conversational AI ads are emerging inside assistant-style experiences where users explore, compare and refine decisions through dialogue. UK businesses should not abandon paid search, but they should prepare messaging, product data, landing pages and measurement for more conversational discovery.
Search advertising has been one of the most reliable digital channels for businesses because it meets people at the point of intent. Someone searches, an ad appears, and the advertiser pays when that person clicks. Conversational AI advertising changes the setting. Instead of a static results page, the user may be asking an assistant to help shortlist options, explain trade-offs or plan a purchase.
The change is important, but it should be approached carefully. ChatGPT advertising is still developing. OpenAI confirmed in 2026 that it was testing ads in ChatGPT and later said the pilot would expand to the United Kingdom. It also stated that ads do not influence ChatGPT’s answers, that ads are labelled as sponsored, and that conversations remain private from advertisers. Those are confirmed platform statements. More detailed buying models, targeting controls and formats should not be assumed unless publicly confirmed.
How traditional search advertising works
Traditional search advertising is based on explicit intent. A user types or speaks a query into a search engine. The platform decides which ads are eligible based on factors such as keywords, relevance, bid, landing-page quality, expected performance and campaign settings. The advertiser’s goal is to match the query with a compelling ad and a useful landing page.
This model is mature. Google Ads offers established campaign types, conversion tracking, bidding strategies, budgets, geographic controls and reporting. It is not simple, but advertisers and agencies have years of operational experience. For many UK businesses, search ads remain one of the fastest ways to capture demand from people already looking for a service or product.
How conversational AI advertising is different
Conversational AI advertising appears within a dialogue. The user may not start with a neat keyword. They might ask: “Help me choose a CRM for a small UK sales team,” “What are the best options for replacing office lighting with lower energy costs?” or “Plan a weekend break with a dog-friendly hotel near the coast.” These prompts combine information gathering, comparison, constraints and commercial intent.
OpenAI’s ad pilot describes ads that are matched to the topic of a conversation and clearly separated from the organic answer. The platform has also said that advertisers do not receive access to users’ chats, chat history, memories or personal details, only aggregate performance information such as views or clicks. That privacy boundary is central to how businesses should think about the channel.
| Area | Traditional search ads | Conversational AI ads |
|---|---|---|
| User behaviour | Shorter search queries and result scanning | Longer prompts, follow-up questions and comparison journeys |
| Ad context | Search results page | Assistant conversation or AI-powered discovery flow |
| Strategy focus | Keywords, bids, ad relevance and landing pages | Intent context, helpful messaging, product or service data and trust |
| Maturity | Established, measurable and widely available | Emerging, pilot-led and still changing |
| Risk | Wasted spend from poor targeting or landing pages | Overclaiming capabilities or misunderstanding user privacy and controls |
Why this matters for strategy
The biggest strategic shift is from keyword capture to decision support. In search advertising, a campaign often succeeds by matching the right term at the right time. In conversational environments, the brand may need to be useful earlier in the decision. Users may be comparing options, understanding criteria, narrowing a shortlist or asking what questions they should ask suppliers.
This does not remove commercial intent. In some cases, it may make intent richer. A user asking an AI assistant to compare five suppliers may be closer to a decision than someone typing a broad category keyword. The challenge is that the ad must fit a more nuanced context and should not feel disruptive or misleading.
What businesses should prepare now
1. Clarify your value proposition
If your messaging depends on vague claims such as “best solutions” or “leading provider”, it will be weak in both search and AI advertising. Conversational discovery rewards specificity. State who you help, what problem you solve, what makes your offer different, and what evidence supports it.
For example, “accountancy for businesses” is broad. “Monthly management accounts and tax planning for UK ecommerce businesses turning over £1m to £10m” is more useful. It gives both users and platforms a clearer sense of fit.
2. Improve landing pages for comparison intent
A user arriving from a conversational ad may have just discussed alternatives, criteria and objections. The landing page should continue that journey. Include a concise summary, relevant proof, process explanation, comparison points, pricing context where appropriate and a clear next step. Do not force every visitor into the same generic homepage experience.
3. Clean up product and service data
OpenAI’s merchant information describes product feeds as a way to help products appear with more accurate information in ChatGPT shopping experiences, currently with US shopping availability and planned expansion over time. Even where a business is not yet using ChatGPT product feeds, the principle is useful: keep product names, descriptions, prices, availability, reviews and images accurate.
Service businesses need data hygiene too. Your website should clearly explain service areas, eligibility, costs, timelines and outcomes without making unsupported promises. Inconsistent information can reduce trust and make campaign management harder.
4. Build measurement beyond the click
Clicks and views will still matter, but conversational advertising may require a broader view of performance. Did the lead understand the offer? Was the enquiry qualified? Did the landing page answer the questions raised in the conversation? Did the campaign influence assisted conversions? Early testing should focus on learning as much as immediate volume.
Where Google Ads fits in
Google Ads is also becoming more AI-assisted. AI Max for Search campaigns, Performance Max and AI-powered Search features are all part of a broader move towards intent expansion and automated creative. This means paid search and conversational AI advertising should not be planned in isolation. The same assets can often support both: strong landing pages, accurate feeds, clear messaging and reliable conversion data.
For a UK ecommerce brand, that may mean improving Merchant Center data, product-page content and paid search structure before experimenting with emerging AI commerce opportunities. For a service business, it may mean building comparison-ready service pages and using Google Ads search term data to understand what buyers ask before enquiring.
Confirmed facts versus informed predictions
Confirmed: OpenAI has announced a ChatGPT ads pilot and stated plans to expand it to the UK. It has said ads are labelled, separate from organic answers, and do not give advertisers access to private conversations. Google has confirmed AI Max developments for Search campaigns and changes to Dynamic Search Ads timelines.
Informed opinion: Businesses with clearer content, better data and stronger conversion tracking are likely to be better prepared for conversational advertising than businesses with vague messaging and weak landing pages. This is not a platform guarantee; it is a practical marketing judgement based on how discovery systems use information.
Prediction: Advertising in conversational AI environments is likely to become more commercially important as users become comfortable asking assistants for purchase advice. However, formats, pricing, access, reporting and regulation will evolve, so businesses should keep flexibility in their plans.
How to decide where to invest first
If you need leads or sales now, mature paid search channels usually deserve priority. If your Google Ads account lacks clean conversion tracking, fix that before chasing a new platform. If your landing pages are weak, improve them before increasing spend. If your sector is heavily comparison-led, begin building content that answers decision-stage questions.
Conversational AI advertising should be treated as an emerging opportunity, not a replacement for search advertising. The best approach is to build a flexible foundation: SEO content that answers real questions, Google Ads campaigns that capture current demand, and AI visibility work that makes your business easier to understand across new discovery surfaces.
Useful primary sources
- OpenAI: Testing ads in ChatGPT
- OpenAI: Powering Product Discovery in ChatGPT
- Google Ads & Commerce Blog: We’re upgrading Dynamic Search Ads to AI Max
Red Rabbit Digital can support businesses with SEO strategy and implementation, Google Ads campaign setup, ongoing Google Ads management, paid search strategy, AI visibility and ChatGPT advertising strategy, setup and management when the advertising product is available and appropriate.
