Generative search (also called AI‑first search) uses large language models (LLMs) to summarise web pages and present a single answer instead of a list of links. This has disrupted how people discover information online, reducing click‑through rates for traditional search results. Because running and training LLMs is expensive and search engines rely heavily on advertising revenues, the question is not if generative search will monetise but how it will do so. This report examines early experiments with advertising inside AI answers, the likely formats these ads will take, and what they mean for brands pursuing generative‑engine optimisation (GEO).

Why Generative Search Will Eventually Monetise

LLMs consume enormous computing resources. OpenAI plans to spend roughly US$1.4 trillion on data‑centre infrastructure in the coming years, so it must recoup those costs through subscriptions, partnerships and advertising. Similarly, Google and Microsoft invest billions in AI and need ways to offset costs. Search engines have always monetised attention and there is little reason to believe AI search will be different. In fact, e‑Marketer projects US AI search ad spending to surge from just over US$1 billion in 2024 to US$26 billion by 2029. Ads will therefore move inside AI answers to monetise the attention and to subsidise infrastructure costs.

Early Signals: Ads Already Creeping In

Google’s AI Overviews and AI Mode

Google introduced AI Overviews as part of its Search Generative Experience (SGE) and began testing ads inside these summaries at its 2025 Marketing Live event. Ads are embedded directly in the AI‑generated answer rather than appearing as separate banners, blurring the line between organic and paid content. AI Overviews show up in roughly 18 % of Google searches and sessions containing them end earlier and attract fewer clicks than traditional search results. The ads are labelled “Sponsored” and separated from the organic AI text. Google expanded these ads from mobile to desktop in 2025 and is experimenting with “AI Mode,” which delivers a chat‑style interface with ads displayed in a similar, conversational context. According to early data, only 8 % of AI Overview sessions result in clicks, emphasising the need for advertisers to shift from click metrics to engagement and brand mentions.

Bing and Perplexity Experiments

Microsoft’s Bing has integrated its Chat interface into search results and quietly tests sponsored answers. Perplexity AI began testing sponsored follow‑up questions in late 2024: ads appear as suggested follow‑up questions labelled “sponsored” and placed alongside the answer. Brands cannot write or edit the answers; the model responds to the question to preserve objectivity, and Perplexity charges advertisers on a cost‑per‑thousand‑impressions (CPM) basis while planning to share revenue with publishers. These experiments demonstrate a cautious approach: the advertising unit is integrated but clearly labelled, aiming to protect user trust.

ChatGPT Ads

In early 2026 OpenAI announced it would introduce ads for users on its free tier and the new ChatGPT Go plan. Ads will be clearly labelled, placed beneath the assistant’s response and excluded from sensitive topics or users under 18. Pro, Business and Enterprise subscribers remain ad‑free, reflecting a tiered monetisation strategy. CEO Sam Altman previously described ads in AI as “uniquely unsettling,” but rising computing costs have made them necessary. This marks a significant shift for general‑purpose AI chat, signalling that monetisation will not be limited to search engines.

How Ads in AI Answers Will Likely Look

Generative advertising units differ from classic pay‑per‑click (PPC) search ads. Rather than appearing as separate banners or text at the top of results, ads are likely to blend into natural language responses as sponsored recommendations or options. For example, a query about the best cloud‑storage provider might yield a descriptive paragraph summarising top services, followed by a line such as “Sponsored options: Brand A and Brand B.” In Bing or Perplexity, the ad may appear as a follow‑up question: “Would you like to see pricing from [Sponsored Brand]?”. These units are contextually relevant and less visually intrusive than traditional ads but must be clearly labelled to avoid misleading users.

The Difference Between Ranking and Being Suggested

In the AI era, two visibility layers emerge inside one answer:

Businesses that invest in GEO will still compete for organic citations, while paid ads offer optional amplification. Paid units cannot create authority; they simply piggy‑back on it.

Lessons from Earlier Search Evolutions

History shows that organic innovations precede monetisation. Google launched featured snippets, then later positioned ads above them. Local packs evolved and then introduced paid local placements. Similarly, generative answers appear first and will gradually incorporate sponsored listings. This pattern suggests that AI answer monetisation is inevitable but will be incremental. Early adopters who adapt their content to be AI‑friendly before ads arrive will have an advantage when paid placements roll out.

Product and Commerce Use Cases

Generative search excels at summarising options and explaining product features. Queries like “What is the best accounting software for small businesses?” or “Compare hybrid SUV models” are prime targets for AI ads. Sponsored placements may list specific products within the AI’s comparative analysis, much like Amazon’s sponsored products. Financial services, health, and consumer goods industries are expected to embrace these ads, as e‑Marketer predicts that AI search ad spending will reach 13.6 % of total US search ad spend by 2029.

OpenAI and the Platform Angle

OpenAI is taking a multipronged approach. Besides ChatGPT ads, it has launched ChatGPT Shopping, a discovery feature that suggests products and retailers but without paid placements. Products are surfaced based on relevance and structured data from partners like Shopify and Amazon, offering free reach for merchants rather than ad slots. OpenAI’s Enterprise tier also features curated tools and integrations; inclusion serves as an implicit endorsement rather than a paid advertisement. This model illustrates that AI platforms may monetise through partnerships and platform fees rather than pure ad auctions.

How Sponsored AI Answers Change GEO Strategy

Ads in generative answers will challenge marketers to balance organic authority and paid visibility. GEO efforts (clear, structured content; high‑quality data; consistent brand signals) will remain the foundation because AI models rely on trustworthy sources. Paid units may amplify trusted brands, but weak brands cannot simply buy credibility. In fact, Google’s early tests show that AI‑enhanced campaigns deliver a 12 % lift in conversion value for advertisers. Brands must decide whether to invest in organic authority, paid inclusion or both.

Risks of Paid AI Inclusion

• User trust erosion – If ads feel deceptive or poorly disclosed, users may lose confidence in the AI. Sam Altman noted that ads in AI conversations are unsettling, and early ChatGPT ads sparked privacy concerns. Regulators may enforce strict disclosure to protect consumers.
• Overpaying for short‑lived visibility – AI models evolve rapidly; paid placements may deliver only temporary benefits. Investing solely in ads while neglecting GEO could leave brands vulnerable to algorithm changes.
• Legal and ethical scrutiny – Hidden promotions inside AI responses could violate advertising standards. Platforms must clearly label sponsored content and avoid influencing the core answer.

Why Organic GEO Still Matters Even If Ads Arrive

LLMs cannot invent facts; they need trustworthy web content. Ads inserted into answers still sit within a narrative anchored by organic sources. Without strong authority, an ad may be ignored or distrusted. Organic visibility also influences eligibility for paid inclusion: models are more likely to suggest brands they recognise as authoritative. Thus, organic and paid strategies are complementary rather than mutually exclusive.

Preparing for “AI PPC”

Businesses should prepare for paid AI visibility, but not by blindly reallocating traditional PPC budgets. Instead, they should:

1. Optimise structured data and entity recognition – Ads may pull from product feeds or merchant listings; clean, consistent data improves eligibility.
2. Strengthen brand authority – Invest in high‑quality content, expert opinions and citations to be chosen by LLMs.
3. Monitor new metrics – Track AI citations, brand mentions and engagement within AI answers. Clicks and rankings will no longer tell the whole story.

How Paid and Organic May Interact

Organic GEO influences eligibility for paid placements. Early experiments suggest that AI models prefer to promote brands already trusted by their algorithms. Paid inclusion may amplify those brands but cannot transform an unknown entity into a trusted one. Conversely, paid units may help reinforce recognition, creating a virtuous cycle where organic authority and paid visibility feed each other.

What to Watch Over the Next 12–24 Months

1. Disclosure practices – Regulatory scrutiny will determine how clearly ads must be labelled. Watch for language such as “Sponsored” or “Partner Recommendation.”
2. New performance metrics – Traditional clicks and cost‑per‑click may give way to metrics like “answer share,” “engagement time,” or “brand recall.”
3. Integration across surfaces – Ads may span search, shopping and chat surfaces. Google’s AI Mode, Gemini and YouTube could converge; similarly, OpenAI might bundle ads across ChatGPT and partner integrations.

Strategic Mistakes to Avoid

1. Waiting until ads launch – Brands that delay GEO efforts until monetisation is mature will have to play catch‑up. Organic authority takes time to build.
2. Treating AI ads like keyword bidding – Paid placements in AI answers will likely rely on different targeting signals and require cohesive product data and brand narratives.
3. Ignoring organic visibility – A paid‑only strategy risks poor trust signals and lower eligibility for inclusion.

Conclusion

Generative search monetisation is not speculative; it is already happening. Ads in AI answers are emerging from Google, Microsoft, Perplexity and OpenAI, and US AI search ad spend is projected to reach nearly US$26 billion by 2029. These ads will not replace organic optimisation but will sit atop it. Brands that invest in authoritative content, structured data and brand trust will be best positioned to benefit from both organic GEO and future paid opportunities. The future of search is not “ads vs SEO” but a blend of earned trust and optional amplification.

Pavel Uncuta is the founder of AiBoost, a UK AI marketing agency that builds visibility audit tools for professional services firms. He researches how Large Language Models cite brands across ChatGPT, Perplexity, and Google AI Overviews.