Google AI Mode Ads: What Singapore SMEs Should Do Next

Google just gave marketers a loud signal: Search is still growing fast, and AI is becoming a bigger part of how people search—and how ads will appear. Alphabet reported Google Search revenue of $63.07B in Q4 2025, up 17% year-on-year, and confirmed it’s testing ads below AI responses in AI Mode, plus piloting Direct Offers for shoppers who are ready to buy.

For Singapore SMEs, this isn’t “interesting tech news.” It’s an early preview of what your customers will see when they search—and what you’ll need to do to keep leads flowing from Google when AI answers become the first thing on the screen.

This post is part of our AI Business Tools Singapore series, where we break down practical moves businesses can take as AI reshapes marketing, operations, and customer engagement. Here’s how to prepare for Google’s AI Mode ads and what to test now so you’re not scrambling later.

What Google’s $63B Search quarter tells SMEs

Answer first: Google is doubling down on AI search because it increases usage—and usage expands ad opportunities.

The headline number matters: $63.07B in Search and other advertising revenue in a single quarter, with 17% growth. That’s not a company protecting a dying product. That’s a company investing in the next version of its most profitable engine.

On the earnings call, Google’s CEO noted that once people adopt these newer AI-driven search experiences, they tend to use them more. Google also shared a behavior shift that should change how SMEs think about keywords:

• AI Mode queries are ~3x longer than traditional searches.
• A “significant portion” of those searches lead to follow-up questions.

Longer queries are usually higher intent. Someone typing (or speaking) a detailed prompt is often closer to a decision than someone searching “aircon servicing.” In Singapore, where competition is tight and CPCs can climb quickly in common categories (tuition, renovation, clinics, home services), higher-intent traffic is the traffic you want.

The catch: if AI answers satisfy the user directly, clicks to websites may drop for some query types. Google says it hasn’t seen cannibalisation yet, but SMEs shouldn’t run on optimism. You should run on measurement.

How AI Mode monetisation changes Google Ads placement

Answer first: If ads appear inside or right after AI answers, your campaigns will compete in a new “attention zone,” not just the classic 10-blue-links layout.

Google’s Chief Business Officer said the company is in early testing for AI Mode monetisation, including:

1. Ads below the AI response in AI Mode
2. Direct Offers, a pilot that lets advertisers show exclusive offers to shoppers who are ready to buy
3. Plans to enable checkout directly within AI Mode from select merchants

Ads below AI responses: why this matters

Ads “below the AI response” sounds harmless until you imagine user behaviour. If the AI response is good, users may:

• Stop scrolling (no ad view, no click)
• Scroll only a little (ads become a quick “next best action”)
• Ask a follow-up (more AI content, potentially different ad triggers)

This is where SMEs need to get practical. In a traditional SERP, you could often “buy your way” into visibility with strong bids and decent ads. In an AI-modeled experience, Google is interpreting intent more deeply and serving ads against longer, more complex queries.

That rewards businesses that:

• Have clear product/service differentiation
• Can match offers to specific situations (urgent repair, same-day delivery, premium vs budget)
• Have landing pages that convert quickly (especially on mobile)

Direct Offers: the SME advantage (if you’re disciplined)

Direct Offers are built for the moment when a user is close to purchase. The obvious winners will be ecommerce, but Singapore SMEs in services can benefit too—if you frame offers correctly.

Examples that fit the “ready to buy” moment:

• Dental clinic: “$80 scaling package for first visit, weekdays before 3pm”
• Tuition centre: “Free assessment + 10% off term 1 for new enrolments”
• Aircon servicing: “Same-day servicing slots + $20 off chemical wash this week”
• Renovation firm: “Priority site visit within 48 hours (limited slots)”

The stance I take: discounts aren’t the point—clarity is. A strong “Direct Offer” is specific, time-bounded, and operationally real. If your ops can’t fulfil it, don’t advertise it.

What changes for SEO when AI answers lead the page

Answer first: SEO shifts from “rank a page” to “be the source AI trusts and cites,” while still capturing high-intent clicks with the right pages.

AI search doesn’t kill SEO. It changes what “winning” looks like.

In AI Mode, Google is effectively doing two things at once:

1. Answering the user’s question with an AI response
2. Selecting sources and commercial options to support that answer

For Singapore SMEs, this creates a two-track SEO reality:

Track 1: Make your site AI-readable and source-worthy

AI systems prefer content that is structured, specific, and credible. That means:

• Service pages that state exact scope, pricing ranges, constraints, and next steps
• Location relevance (Singapore neighbourhoods, service areas, appointment rules)
• Proof signals: certifications, case photos, real reviews, FAQs, policies

Snippet-worthy lines help. For example:

“For HDB aircon systems, chemical wash is typically needed when airflow drops and odours persist after standard servicing.”

A sentence like that is easy for an AI to reuse because it’s specific and situational.

Track 2: Capture the “I’m ready” searches AI Mode creates

Remember: AI Mode queries are longer. Longer queries often map to bottom-funnel pages.

Build pages for high-intent scenarios such as:

• “Same-day [service] Singapore”
• “Price for [service] for HDB/condo”
• “Best [service] near [area] open on weekends”
• “Compare [option A] vs [option B] for [use case]”

If you rely only on broad blog posts, you’ll miss the leads. Your money pages (service, product, booking, quote) must do the heavy lifting.

A 30-day action plan for SMEs to prepare for AI Mode ads

Answer first: Start by fixing measurement and conversion flow, then adapt your ads and content to longer, intent-rich searches.

You don’t need insider access to AI Mode ad inventory to prepare. You need good fundamentals and smart prioritisation.

Week 1: Audit what “lead” actually means

If AI reduces casual clicks, every click becomes more expensive and more valuable.

Do these checks:

• Define a lead: form submission, WhatsApp click, call, booking, purchase
• Ensure conversion tracking is working (Google Ads + GA4)
• Track call/WhatsApp leads properly (unique numbers or event tracking)
• Confirm your CRM or spreadsheet captures source/medium consistently

A blunt but useful rule: If you can’t attribute leads, you can’t optimise.

Week 2: Build landing pages that match longer queries

Longer queries are basically “hidden objections” inside the search.

Update or create landing pages that answer:

• Who it’s for (HDB vs condo vs landed, business vs consumer)
• Price anchors (starting from, ranges, what changes the price)
• Availability (weekends, same-day, lead time)
• Trust (warranty, insurance, certifications, track record)
• Frictionless CTA (call, WhatsApp, book, quote)

Keep it tight. On mobile, your first screen should show:

• What you do
• Where you serve
• Why trust you
• One clear next action

Week 3: Restructure Google Ads around intent, not just keywords

If Google is monetising longer, complex searches better, you should align your structure.

Practical moves:

• Split campaigns by intent: urgent, price, brand, comparison, location
• Write ad copy that mirrors natural language searches (without sounding weird)
• Add offer assets and extensions where relevant
• Use negative keywords aggressively to avoid “research-only” traffic

If you have budget constraints (common for SMEs), don’t spread spend too thin. Pick 2–3 intent clusters that produce sales.

Week 4: Prepare “offer logic” for Direct Offers style placements

Even before Direct Offers are broadly available, you can practise the discipline.

Create a simple offer matrix:

• Offer type: discount / bundle / free add-on / priority slot / warranty
• Eligibility: new customers only, weekdays only, minimum spend
• Operational limit: number of redemptions per week
• Landing page: one page per offer with clear terms

This is where SMEs often fail: they run “promotions” that staff can’t fulfil. Your marketing should never surprise your ops team.

What Singapore SMEs should measure as AI Mode expands

Answer first: Track changes in query quality, lead rate, and assisted conversions—not just clicks.

As AI answers get better, you may see:

• Fewer but more qualified clicks
• More “zero-click” impressions (your brand is seen but not visited)
• Different paths to conversion (user searches multiple times, comes back later)

Track these indicators monthly:

1. Search Impression Share on high-intent campaigns
2. Conversion rate by landing page (not just by campaign)
3. Lead-to-sale rate (from CRM) by source
4. Branded search volume (a proxy for awareness and trust)
5. Engaged sessions and time-to-convert in GA4

If your clicks drop but your leads stay stable (or increase), don’t panic—you’re probably getting better intent.

The practical takeaway for 2026: prepare for “AI-first” search journeys

Google isn’t experimenting with AI Mode ads because it’s optional. It’s doing it because Search is growing, and AI is changing how people ask for help—longer queries, more follow-ups, and clearer buying intent.

For Singapore SMEs, the win is straightforward: build marketing that matches real customer language, proves trust quickly, and makes it easy to take the next step. If AI Mode reduces casual browsing, your site and ads must convert the serious buyers.

If you’re already investing in AI business tools in Singapore—whether for customer service, lead qualification, or content workflows—this is the moment to connect those tools back to revenue: better intent matching, faster response, and cleaner measurement.

What will you do first: tighten conversion tracking, rebuild your highest-value landing page, or create one offer that your ops team can fulfil every single week?