Google Ads Are Becoming Conversations. Will Traditional Landing Pages Survive?

Imagine a customer searching Google Ads for a new website development agency.

A few years ago, their search might have looked like this:

“Website development company near me.”

They would see several advertisements, click a website, browse the services and complete a contact form.

Now imagine the same customer asking Google:

“I run a small ecommerce business with a limited budget. I need a website that can handle online payments, inventory and future growth. Should I choose Shopify or WooCommerce, and which type of agency should I hire?”

Instead of relying entirely on traditional search results, Google can help the customer explore their options through an AI-powered conversation.

And increasingly, advertisements are becoming part of that experience.

Google is developing advertising formats that can answer detailed questions, explain product benefits and help customers move toward purchasing decisions.

Some emerging formats can even support conversations with businesses before customers visit their websites.

This raises a question that digital marketers and business owners cannot afford to ignore:

Will traditional landing pages still matter when Google Ads can answer questions, qualify interest and support customer actions directly within search?

The answer is yes, but landing pages may need to evolve.

As we approach 2027, the familiar advertising journey of keyword, ad click, landing page and conversion is becoming less predictable.

Some customers may still click through to websites. Others may learn enough from AI-generated answers to contact a business through an alternative route.

For advertisers, this creates opportunities alongside new challenges involving lead quality, conversion tracking and customer trust.

What Are Conversational Google Ads?

Conversational Google Ads are emerging advertising experiences designed to respond to the context of detailed, natural-language searches.

Instead of relying exclusively on traditional keyword-based advertisements, these experiences can use AI to present information relevant to a customer’s questions.

For example, a customer researching office furniture may ask:

“What type of ergonomic chair should I buy if I work from home for eight hours a day and have a budget under $300?”

A conversational advertising experience may present relevant products alongside explanations of their features and suitability.

The advertisement becomes part of a broader research interaction rather than functioning only as a short promotional message.

How Are Conversational Ads Different From Traditional Search Ads?

Traditional search advertisements generally include headlines, descriptions and relevant assets.

When users click them, they usually visit an advertiser’s landing page.

Conversational advertising adds another layer.

An AI-powered search experience can interpret detailed requirements, provide contextual explanations and display relevant sponsored options.

However, this does not mean every Google Search ad has become an interactive chatbot.

Some formats generate more relevant explanations, while others are designed to support a conversation with a business.

Google is testing these experiences, and availability depends on format, geography and advertiser eligibility.

Why Is Google Moving Toward Conversational Advertising?

Customer search behavior is becoming more detailed.

People increasingly ask complete questions, compare alternatives and describe their requirements instead of entering only a few keywords.

Google is adapting its advertising products to these changes.

The objective is to connect relevant businesses with potential customers during the research process, including moments when customers have not yet decided which product or service to purchase.

How Google Ads Are Changing in 2026

Several developments announced during 2026 demonstrate how Google is expanding AI-powered advertising.

These changes provide useful evidence of where paid search may be heading in 2027.

1. Google Is Expanding Ads in AI Mode

On October 28, 2026, Google announced that advertisements in AI Mode were expanding into ten additional countries.

These markets include Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines and Singapore.

Google also announced the introduction of multiturn ads in the United States.

Multiturn ads allow sponsored results to appear during follow-up questions within AI Mode.

According to Google’s announcement about the international expansion of AI Mode advertising, these ads remain clearly labeled as sponsored content.

For advertisers, this creates an opportunity to reach customers while they refine their requirements through a conversation.

However, the new formats are not necessarily available to every advertiser or in every supported country immediately.

2. Conversational Discovery Ads Are Being Tested

At Google Marketing Live in May 2026, Google introduced two experimental advertising formats called Conversational Discovery ads and Highlighted Answers.

Conversational Discovery ads are designed to respond to specific user questions with relevant product or service information.

For example, someone researching home fragrance products may receive advertising that explains which options match their preferences.

Google uses Gemini to generate contextual explanations alongside advertiser creative.

These ads are still identified as sponsored.

The development is important because the advertisement can provide helpful information before the customer visits a product page.

3. Highlighted Answers Can Introduce Businesses During Research

Highlighted Answers are another experimental format.

When Google AI Mode presents recommendations, relevant advertisements may become eligible to appear among the suggested options.

For example, a traveler researching language-learning applications might encounter a sponsored recommendation during the comparison process.

This does not mean businesses can purchase guaranteed placement at the top of every AI-generated answer.

Eligibility and placement depend on the advertising system, relevance and applicable requirements.

Google explained these formats in its May 2026 announcement about next-generation AI Search advertising.

4. Business Agent for Leads Could Change Lead Generation

One particularly interesting development is Google’s Business Agent for Leads.

This experimental format is designed to place an AI-powered brand assistant directly within an advertisement.

Instead of immediately visiting a landing page and completing a static form, a prospective customer may be able to start a conversation.

Google demonstrated the idea using a student researching universities.

The student could select a chat option within the advertisement and receive answers based on the advertiser’s website.

This could help customers understand relevant services before deciding whether to make an inquiry.

However, Business Agent for Leads should not be confused with an established feature available to every Google Ads account.

It was introduced as part of Google’s emerging advertising experiments.

Its future availability and functionality may change.

5. Direct Offers Are Bringing Promotions Closer to Purchase Decisions

Google also expanded its Direct Offers pilot during 2026.

This initiative allows participating retailers to present relevant promotions within AI-powered shopping experiences.

For example, a shopper researching electronics might encounter a special offer associated with an eligible product.

Google has also introduced commerce integrations that can support native checkout for participating merchants.

This creates another possibility: certain ecommerce transactions may require fewer visits to a traditional product landing page.

However, these are supported commerce experiences, not a universal replacement for ecommerce websites.

What the Latest Research Reveals About Conversational Search

The shift toward conversational advertising is supported by changes in how people use Google Search.

AI Mode Queries Are Three Times Longer

In its October 2026 advertising update, Google reported that queries in AI Mode were, on average, three times longer than traditional searches.

The figure comes from Google’s U.S. AI Mode research conducted in May 2026.

This suggests that users are providing more context when researching products and services through conversational search experiences.

For example, a traditional search might be:

“CRM software for small business.”

A longer conversational query could be:

“I run a growing sales team of six people and need a CRM that integrates with email, supports automation and costs less than $100 per month. What should I compare?”

The second request reveals several purchasing considerations.

For advertisers, these detailed questions create opportunities to communicate product suitability more precisely.

However, longer queries do not automatically produce better leads or lower advertising costs.

AI-Assisted Research May Help Customers Make Decisions

At Google Marketing Live 2026, Google reported that 75% of surveyed users said AI Mode helped them make faster, more confident decisions.

The underlying study was a Google-commissioned Ipsos survey conducted in December 2025 among shoppers using Google AI Overviews and/or AI Mode for shopping.

It covered 13,189 respondents across selected countries.

The finding suggests that some shoppers find AI-supported research useful.

However, it is a self-reported survey result, not evidence that conversational advertisements increase conversions by 75%.

Businesses should distinguish improved perceived shopping confidence from actual advertising performance.

What These Statistics Mean for Businesses

Two developments are especially relevant.

First, customers may express their purchasing requirements in greater detail.

Second, advertising experiences may provide more information before users visit a website.

These changes could influence which customers click an ad, what they expect after clicking and how advertisers should measure success.

But they do not establish that traditional landing pages are becoming unnecessary.

How the Traditional Google Ads Journey Is Evolving

For years, many PPC campaigns have followed a straightforward conversion process.

A customer enters a search query, sees an advertisement, clicks the ad and visits a landing page.

The landing page then explains the offer and encourages the customer to take action.

This approach still works.

However, AI-assisted search can introduce additional steps before the click.

The Traditional Paid Search Journey

A typical lead-generation journey looks like this:

1. Customer searches for a service.
2. Google displays a relevant advertisement.
3. Customer clicks the advertisement.
4. Landing page explains the service.
5. Customer reviews the information.
6. Customer submits an inquiry or calls the business.

The landing page carries much of the responsibility for explaining the offer and building trust.

The Emerging Conversational Journey

A more conversational journey could involve:

1. Customer asks Google a detailed question.
2. AI Mode explains available options.
3. A relevant sponsored recommendation appears.
4. Customer asks a follow-up question.
5. Google presents further information about suitable products or services.
6. Customer clicks through to the business, starts an eligible lead interaction or continues researching.

The key difference is that part of the evaluation process can happen before the customer reaches the advertiser’s website.

This creates an important opportunity for businesses.

Customers who do visit the website may arrive with clearer expectations.

However, it also introduces additional competition for attention during the research process.

Traditional Landing Pages vs Conversational Advertising

The two approaches serve overlapping but different purposes.

These approaches are not necessarily competitors.

A conversational advertisement can help customers identify a relevant provider.

A landing page can then provide the detailed information needed to make a confident decision.

The strongest customer journey may combine both.

Why Traditional Landing Pages Are Not Going Away

Despite the excitement surrounding conversational Google Ads, landing pages continue to serve several important functions.

1. Customers Still Need Detailed Information

An AI-generated answer may explain the basic benefits of a product or service.

However, customers making expensive or complicated decisions often need more evidence.

For example, a company hiring a digital marketing agency may want to review its services, processes, portfolios and reporting approach.

A short AI-generated explanation may not be enough.

A well-designed landing page can provide the necessary context.

2. Landing Page Experience Still Matters to Google Ads

Google continues evaluating the quality and relevance of landing page experiences.

According to Google’s official documentation about Ad Rank, ad quality can consider the usefulness and relevance of a landing page, its navigation and its alignment with customer expectations.

These considerations can influence advertising eligibility and performance.

Quality Score is a diagnostic measure rather than the actual auction calculation, but its components provide useful insight into ad relevance and landing page experience.

This is an important distinction.

Even as Google’s advertising formats evolve, the company continues treating landing page quality as relevant.

3. Businesses Need Control Over Their Brand Experience

Google determines how sponsored content appears within its platform.

A company’s website offers more control over presentation, messaging and customer experience.

Businesses can explain their processes, showcase real projects and communicate important service details.

This becomes especially valuable in competitive industries where customers need evidence before committing.

4. Landing Pages Support High-Intent Conversions

Customers may still prefer visiting a website before purchasing or contacting a company.

Landing pages can support appointment scheduling, secure checkout, detailed form submissions and other actions.

For example, someone comparing accounting firms may want to understand service packages and submit specific requirements.

A structured landing page can help facilitate that process.

5. Websites Support Customer Relationships Beyond Advertising

A landing page can connect customers with additional resources, relevant policies and the business’s wider digital presence.

It can also support first-party measurement and customer relationship management, subject to appropriate consent and privacy requirements.

Therefore, replacing every landing page with a platform-controlled interaction would create unnecessary dependence on third-party advertising infrastructure.

Businesses should strengthen their websites while evaluating new advertising opportunities.

When Customers May Convert Without Visiting a Landing Page

Although landing pages will remain important, not every customer interaction requires one.

Certain advertising formats already support actions directly within Google’s ecosystem.

Google Ads Lead Form Assets

Google Ads offers lead form assets that allow eligible advertisers to collect customer information directly through an advertisement.

The customer can express interest without first visiting a dedicated landing page.

According to Google’s guidance on lead form assets, eligible advertisers can connect these leads to customer relationship management systems.

However, businesses must meet eligibility requirements and provide a suitable privacy policy.

A Google-hosted lead form is not the same feature as Google’s experimental Business Agent for Leads.

The former collects information through a form.

The latter is designed around a conversational interaction.

Direct Phone Inquiries

Some customers prefer calling a business rather than completing a form.

Depending on the advertising format and available assets, Google Ads can support phone-based interactions.

For time-sensitive services, such as emergency repairs, a direct call may be more useful than a lengthy landing page.

However, call interactions should be evaluated using actual connected calls and lead quality rather than button clicks alone.

AI-Assisted Ecommerce Transactions

Participating retailers may gain access to supported AI commerce experiences that simplify parts of product discovery and checkout.

However, these capabilities depend on merchant integrations and eligibility.

Businesses should not assume every Google Ads campaign can complete purchases directly inside AI Mode.

For additional context on evolving commerce experiences, read our article AI Agents Can Now Shop for You. Is Your Online Store Ready for 2027?.

When a Landing Page Is Still the Better Choice

A dedicated landing page may be especially useful when:

• Customers need detailed service explanations.
• Purchases involve substantial financial commitments.
• The business needs to establish professional credibility.
• Buyers must compare packages or specifications.
• The company offers complex or customized services.
• The sales process requires consultations or proposals.

The decision should depend on customer needs and conversion performance, not simply the availability of a new advertising feature.

10 Ways to Prepare Your Landing Pages for AI-Powered Google Ads

Businesses do not need to abandon their existing landing pages.

Instead, they should make them more useful for customers who arrive after conducting detailed AI-assisted research.

1. Match Landing Pages to Customer Intent

Traditional PPC campaigns often emphasize matching keywords with advertisement headlines.

That remains useful.

However, conversational searches can express more detailed requirements.

For example:

“Affordable CRM for a small insurance agency with appointment scheduling and email automation.”

A generic CRM homepage may not answer those requirements adequately.

A more relevant destination could explain which features are available, which integrations are supported and who the software suits.

Google’s landing page optimization guidance recommends aligning the landing page with the advertisement and customer expectations.

The goal is to continue the user’s research rather than make them restart it.

2. Answer Important Questions Near the Top

Customers arriving from AI-assisted research may already understand the basics.

They want specific information.

Instead of beginning with broad promotional language, explain the offer clearly.

For example, a website development landing page could answer:

• Which platforms does the company support?
• What types of projects does it handle?
• How does the development process work?
• What information is needed for a quotation?
• Is ongoing maintenance available?

Concise answers help visitors evaluate whether the provider meets their needs.

3. Build Trust With Verifiable Evidence

AI-generated explanations may help customers identify relevant businesses.

However, a landing page must still establish credibility.

Useful trust signals include genuine customer reviews, documented case studies, relevant credentials and transparent company information.

Avoid fabricated testimonials or unsupported claims about results.

For example, an agency should not promise guaranteed lead growth unless it can substantiate the claim and clearly explain the conditions.

Businesses can strengthen these experiences through professional web design services focused on usability, clear messaging and customer decision-making.

4. Create Pages for Distinct Customer Needs

One generic landing page may struggle to serve several unrelated customer groups.

For example, a company offering website development to ecommerce retailers and industrial manufacturers may need different information for each audience.

An ecommerce customer may prioritize integrations, inventory and checkout.

A manufacturer may care more about technical documentation, lead generation and complex service information.

Separate pages can address genuinely different requirements.

However, businesses should avoid creating hundreds of nearly identical pages for every possible AI prompt.

Page differentiation should be based on meaningful customer needs.

5. Improve Mobile Performance

Fast-loading, usable pages remain important.

Google’s Core Web Vitals documentation recommends targets such as a Largest Contentful Paint within 2.5 seconds, Interaction to Next Paint below 200 milliseconds and Cumulative Layout Shift below 0.1.

These metrics describe important aspects of user experience.

They do not guarantee better Google Ads conversion rates by themselves.

However, reducing unnecessary delays and improving mobile responsiveness can remove obstacles that discourage visitors from taking action.

Businesses experiencing technical performance problems can explore Core Web Vitals optimisation as part of their wider website improvement strategy.

6. Use Clear Calls to Action

A customer who has already researched their options may not need another lengthy explanation before taking the next step.

Make the primary action clear.

Examples include:

• Request a Project Quote
• Schedule a Consultation
• Check Product Availability
• Compare Service Packages
• Start a Free Trial

The appropriate call to action depends on the offer.

Avoid presenting too many competing actions that distract from the customer’s main objective.

7. Test Conversational Features Carefully

A website chatbot or guided questionnaire can help some visitors clarify their requirements.

For example, a software company might offer a short questionnaire that recommends suitable plans based on team size and required features.

However, not every landing page needs an AI chatbot.

Poorly designed chat experiences can frustrate customers, provide incorrect information or create unnecessary privacy risks.

Businesses should test whether conversational features genuinely improve customer experience and qualified conversions before making them central to the page.

8. Maintain Accurate Product and Service Information

AI advertising systems may use information from websites, product feeds and other supported sources.

Therefore, inaccurate details can create problems before and after the click.

Businesses should keep important information current.

This includes service availability, pricing conditions, product specifications and promotional offers.

For ecommerce advertisers, accurate Merchant Center information is particularly relevant to shopping experiences.

9. Track Meaningful Conversion Actions

Landing page improvements should be evaluated using reliable measurement.

For a lead-generation business, relevant actions might include completed forms, qualified phone inquiries and booked consultations.

For ecommerce, completed purchases and revenue may be more meaningful.

Avoid counting every page view, button click or chatbot interaction as a successful lead.

A strong measurement framework should distinguish engagement from actual business outcomes.

10. Test Landing Pages Against Alternative Conversion Paths

Instead of assuming that website forms are always superior to platform-hosted forms, compare them.

For example, a business could evaluate a dedicated landing page against an eligible Google-hosted lead form.

Review not only the number of submissions but also lead quality, sales acceptance and customer acquisition cost.

Different businesses may reach different conclusions.

The objective is to identify which experience produces valuable customers, not simply the largest number of form submissions.

How AI Max Is Changing Landing Page Selection

One of the most important developments for advertisers is Google’s use of AI to match searches with relevant website destinations.

What Is Final URL Expansion?

Final URL Expansion, commonly called FUE, allows supported Google Ads campaigns to use Google AI to select relevant landing pages from an advertiser’s website.

Instead of sending every eligible query to one manually selected URL, the system can identify another suitable destination based on search intent.

In April 2026, Google announced additional AI Max capabilities supporting this approach.

According to Google’s AI Max product update, Final URL Expansion is intended to connect increasingly detailed searches with relevant website pages.

This is particularly important as customers use longer and more specific queries.

What This Means for Landing Page Strategy

Imagine an online furniture retailer with separate pages for office chairs, standing desks and ergonomic accessories.

A customer searches for:

“Adjustable desk suitable for a small home office with limited floor space.”

A system using supported URL expansion may identify a more relevant destination than the homepage.

This creates opportunities, but it also requires advertisers to maintain their websites carefully.

If a website contains outdated offers, irrelevant pages or incomplete information, automated destination selection may produce a poor customer experience.

Why Advertisers Still Need Oversight

Automation should not replace quality control.

Businesses should review relevant campaign settings, available URL controls and destination performance.

They should also ensure that promotional claims and legal disclosures remain accurate.

For regulated industries, additional care is necessary to comply with applicable advertising requirements.

The goal is to use automation to improve relevance while maintaining appropriate control over customer experience.

What Conversational Google Ads Mean for Different Industries

The impact of conversational advertising will not be identical across every industry.

Ecommerce Businesses

Retailers may benefit from AI-powered product explanations, relevant recommendations and emerging commerce integrations.

However, product feeds and accurate inventory remain essential.

For example, a customer researching a refrigerator may need information about energy consumption, dimensions, capacity and delivery.

A useful product page can provide this information after the customer clicks a sponsored recommendation.

Local Service Businesses

Electricians, plumbers and other local providers often serve customers who need quick assistance.

For these businesses, direct calls and clear service information may remain especially important.

An AI-assisted recommendation could help a customer identify relevant providers.

However, accurate operating hours, locations and service details remain necessary.

B2B Service Providers

Businesses purchasing software, consulting or specialized professional services often require substantial research.

Conversational advertising could help explain which providers appear relevant.

However, customers may still need detailed case studies, service information and consultations.

Dedicated landing pages remain valuable for supporting these decisions.

Education and Training Providers

Prospective students often ask detailed questions about courses, admissions, eligibility and learning outcomes.

Google’s experimental Business Agent for Leads illustrates how conversational interactions could support this research process.

However, educational providers still need accurate program information, policies and enrollment procedures.

Digital Marketing Agencies

A business owner researching PPC services may ask Google to compare advertising strategies based on budget and business objectives.

An AI-assisted advertisement may introduce an agency.

However, the customer still needs evidence of expertise, transparent service information and a clear next step.

For businesses evaluating professional support, AN SEO AGENCY’s PPC services provide information about paid advertising, campaign management and performance measurement.

Practical Example: A Google Ads Campaign Before and After Landing Page Optimization

Consider a hypothetical local HVAC company called NorthPoint Heating & Cooling.

The business uses Google Ads to generate inquiries for air conditioning installation and repairs.

Its existing campaign sends all traffic to the homepage.

The Customer’s Search

A potential customer asks Google:

“I need to replace an old air conditioner in a three-bedroom house. What should I compare before hiring an installation company?”

An AI-assisted search experience may explain considerations such as system capacity, energy efficiency, installation requirements and pricing factors.

A relevant advertisement may introduce NorthPoint during this research.

The Problem With the Existing Landing Page

NorthPoint’s homepage provides a broad introduction to heating, cooling and maintenance services.

However, it does not explain the air conditioning replacement process.

Important details are difficult to find.

The customer has already researched installation requirements but now needs information about the company’s actual services.

The page does not continue that conversation effectively.

The Improved Landing Page

NorthPoint develops a dedicated air conditioning replacement page.

The new page explains the installation process, factors influencing cost, service availability and consultation options.

It also includes genuine customer feedback and a clear quotation request.

The company reviews mobile usability, form functionality and conversion tracking.

Hypothetical Performance Comparison

The following figures demonstrate how changes in lead quality and conversion performance could influence campaign economics.

They do not represent an actual client campaign.

The hypothetical example illustrates that a landing page can still create commercial value after a customer interacts with an AI-assisted search experience.

However, actual results depend on many factors, including campaign targeting, competition, customer intent and the business’s offer.

A stronger landing page does not guarantee improved performance.

Businesses should test changes rather than assume a particular outcome.

How to Measure Conversational Google Ads Performance

As advertising experiences evolve, measurement becomes more complicated.

A customer may encounter an AI-assisted sponsored result, ask additional questions and then take action.

Some interactions may be measurable within Google Ads.

Others may require website analytics, customer relationship management data or additional verification.

1. Conversion Rate

Conversion rate remains useful when the underlying conversion action is correctly defined.

For example, a completed appointment booking provides a stronger measure of lead generation than a simple click on a booking button.

Businesses should verify that events fire at the correct time and are not duplicated.

2. Cost per Qualified Lead

Cost per lead alone can be misleading.

Imagine one campaign generates 100 inquiries, but only ten meet the company’s requirements.

Another campaign generates 40 inquiries, with 25 qualifying.

The second campaign may provide more commercial value despite producing fewer submissions.

Advertisers should distinguish raw leads from qualified leads.

3. Customer Acquisition Cost

Customer acquisition cost connects marketing expenditure with acquired customers.

This requires reliable information about which leads become paying customers.

Businesses should account for relevant acquisition costs and avoid attributing every sale to a single interaction without sufficient evidence.

4. Offline Conversion Data

Some businesses close sales after phone calls, consultations or additional follow-up.

These outcomes may not be visible through basic website conversion tracking.

Google’s enhanced conversions for leads guidance describes how eligible advertisers can use appropriate first-party information to improve offline conversion attribution.

However, setup must comply with consent, privacy and data handling requirements.

5. Landing Page Performance

Advertisers should continue reviewing landing page results.

Relevant metrics include qualified conversions, mobile usability, form completion and performance by destination URL.

When Final URL Expansion is active, marketers should also review which pages receive traffic and whether those destinations match the advertised offer.

6. Google-Hosted Lead Form Performance

Businesses using lead form assets should measure form submissions separately from website-generated leads.

Where possible, connect the submissions to CRM outcomes.

A higher form completion rate does not necessarily mean better customer quality.

7. Revenue and Return on Advertising Spend

Ecommerce businesses should evaluate attributable revenue, order value and return on ad spend.

However, revenue attribution may be incomplete when customers interact across several channels.

Use consistent reporting definitions and avoid treating estimates as exact measurements.

Common Mistakes Advertisers Should Avoid

Conversational advertising creates new opportunities, but businesses should avoid several common assumptions.

Mistake 1: Assuming Landing Pages Are Obsolete

Google continues to recognize the importance of landing page experience.

Removing important pages simply because AI-powered advertising is expanding would be premature.

Mistake 2: Treating Every AI Advertising Feature as Widely Available

Some new formats are pilots or experiments.

Availability varies by country, campaign type and advertiser eligibility.

Businesses should verify which features are actually accessible before developing implementation plans.

Mistake 3: Allowing Automation to Misrepresent the Business

Automated messaging must accurately reflect products, services, pricing and policies.

An AI-generated advertising explanation should not promise capabilities the business cannot deliver.

Mistake 4: Sending Every Advertisement to the Homepage

A broad homepage may not answer the detailed requirements expressed in a conversational query.

Businesses should evaluate whether more relevant service or product pages provide a better experience.

Mistake 5: Counting Every Interaction as a Conversion

Chat interactions, button clicks and form openings can indicate engagement.

However, they are not equivalent to qualified inquiries or completed sales.

Advertisers need accurate measurement definitions.

Mistake 6: Forgetting Customer Privacy

Lead forms and conversational experiences may collect personal information.

Businesses should use supported integrations and provide appropriate disclosures.

Privacy, security and customer authorization should be part of campaign planning.

Mistake 7: Replacing Human Customer Support Without Testing

AI conversations can help answer routine questions.

However, complicated or sensitive inquiries may still require human assistance.

A business should not rely on an automated system that cannot provide accurate information or a reasonable escalation path.

A 90-Day Plan to Prepare Your Google Ads Campaigns for 2027

Businesses can start preparing without rebuilding every campaign or adopting unverified AI tools.

Days 1–30: Understand Your Existing Performance

Begin by examining campaign objectives.

Determine which advertisements generate qualified leads and which produce irrelevant inquiries.

Review important landing pages and identify mismatches between the ad promise and page content.

Check whether conversion tracking accurately records completed customer actions.

Establish a baseline before changing campaign structure.

Days 31–60: Improve Landing Page Relevance

Update pages that do not answer common customer questions.

Clarify service details, pricing conditions and next steps.

Improve mobile usability and fix important technical problems.

Test relevant calls to action and remove unnecessary friction.

Where multiple distinct customer needs exist, consider developing appropriately differentiated landing pages.

Days 61–90: Test Emerging Advertising Opportunities

Review the AI-powered Google Ads features available in your account and market.

Evaluate whether AI Max, eligible lead form assets or other supported capabilities match your goals.

Test changes with appropriate budgets and measurement.

Compare qualified leads and business results rather than relying exclusively on impressions or click-through rates.

Ninety days can establish a stronger advertising process, but it does not guarantee improved conversions or access to experimental formats.

What Google’s Advertising Experts Say About Landing Pages

Brandon Ervin, Director of Product Management for Google Ads, addressed landing pages in Google’s April 2026 AI Max announcement.

He stated:

“Landing pages are critical for conversions”

The statement appeared in Google’s official AI Max update.

The context is particularly important.

Google was explaining how AI-powered Final URL Expansion can help connect detailed search queries with relevant website destinations.

In other words, Google was not announcing that landing pages were disappearing.

It was introducing technology intended to help advertisers select more appropriate landing pages.

For business owners, this reinforces an important principle.

Automation may improve how customers reach a business, but the business must still provide a useful destination when a website visit is part of the journey.

Predictions: The Future of Google Ads and Landing Pages in 2027

Frequently Asked Questions