Best SEO Tools for 2026

The SEO tool landscape is entering its most disruptive phase since the early days of Google.

By 2026, traditional rank tracking, backlink counting, and keyword volume tools alone will no longer be enough to compete. Google’s AI Overviews, continuous core updates, reduced SERP data access, and changing user behavior have permanently altered what SEO tools need to do.

The best SEO tools for 2026 are not the ones with the most features—they are the ones that help you:

  • Understand search intent, not just keywords
  • Measure visibility beyond blue links
  • Adapt to AI-driven SERPs
  • Build topical authority, not just pages
  • Make decisions with imperfect data

This guide covers:

  • What defines a “best” SEO tool in 2026
  • Which categories of tools matter most
  • The best SEO tools by use case
  • Which tools are losing relevance
  • How to build a future-proof SEO stack

This is not a sponsored list. It’s a strategic view of what SEO tooling must become to survive modern search.

What Changed Between 2024 and 2026

SEO tools were built for an era where:

  • Rankings equaled traffic
  • SERPs were predictable
  • Scraping Google was easy
  • Clicks were abundant

That era is over.

In 2026, SEO tools must operate in a world where:

  • AI Overviews answer queries directly
  • SERP layouts change constantly
  • Rank tracking is sampled and delayed
  • Visibility matters more than clicks
  • Comparative usefulness determines rankings

This fundamentally changes what makes an SEO tool “good.”

What Makes an SEO Tool “Best” in 2026

The best SEO tools in 2026 share several core characteristics.

They Measure Visibility, Not Just Rankings

Rank position alone is no longer a reliable KPI.

Top tools now measure:

  • SERP feature presence
  • AI Overview inclusion
  • Topic-level visibility
  • Share of voice by intent

They Are Intent-Aware

Modern tools help you understand:

  • What users actually want
  • How Google interprets intent
  • Why certain pages win

They Reduce Dependence on Scraped SERP Data

With Google cracking down on large-scale scraping, the best tools:

  • Use sampling intelligently
  • Integrate first-party data
  • Focus on trends, not exact positions

They Support Topical Authority Building

SEO in 2026 is about owning topics—not individual keywords.

Leading tools help identify:

  • Content gaps
  • Topic clusters
  • Internal linking opportunities

Best SEO Tools for 2026 by Category

Best All-in-One SEO Platforms

Semrush

Semrush remains one of the most complete SEO platforms heading into 2026.

Strengths:

  • Strong competitive intelligence
  • Robust keyword and topic research
  • Visibility tracking beyond simple rankings
  • Content and authority analysis

Why it matters in 2026: Semrush has moved beyond pure rank tracking and into SERP feature and intent analysis.

Ahrefs

Ahrefs continues to excel in backlink intelligence and content research.

Strengths:

  • Industry-leading link data
  • Strong content discovery tools
  • Clean UI and fast insights

2026 caveat: Ahrefs is most powerful when paired with intent and conversion analysis, not used alone.

Best SEO Tools for Keyword & Intent Research

Google Search Console

Search Console is more important than ever.

Why it’s essential in 2026:

  • First-party data
  • Actual impressions and clicks
  • Real search queries
  • No scraping risk

Modern SEO stacks are built around Search Console, not around it.

AlsoAsked

People Also Ask data is critical for AI-driven search.

AlsoAsked helps SEOs:

  • Map question-based intent
  • Structure content for AI Overviews
  • Build better topical coverage

Keyword Insights

Keyword clustering tools are becoming more valuable than raw keyword lists.

Keyword Insights excels at:

  • Grouping keywords by intent
  • Reducing cannibalization
  • Supporting topic-first strategies

Best SEO Tools for Content Optimization

Surfer SEO

Surfer remains a leading on-page optimization tool.

Best use in 2026:

  • Content structure guidance
  • Semantic coverage checks
  • Competitive comparison

Important note: Surfer should guide clarity—not dictate keyword stuffing.

Clearscope

Clearscope focuses on content relevance and semantic completeness.

Why it works well in AI search:

  • Encourages topic depth
  • Improves clarity and coverage
  • Avoids over-optimization

Best SEO Tools for Technical SEO

Screaming Frog

Screaming Frog remains essential for technical audits.

Use cases:

  • Crawl diagnostics
  • Indexation issues
  • Internal linking analysis
  • Site architecture reviews

Sitebulb

Sitebulb adds visual insights and prioritization to technical SEO.

It’s especially useful for:

  • Communicating issues to stakeholders
  • Understanding complex sites

Best SEO Tools for AI Overviews & Modern SERPs

SERP Feature Trackers

Tools that track:

  • AI Overviews
  • Featured snippets
  • People Also Ask
  • Video and image results

Are now more valuable than pure rank trackers.

Custom GSC + Analytics Dashboards

In 2026, many advanced SEO teams build:

  • Custom Looker Studio dashboards
  • Intent-based performance reports
  • Visibility trend analysis

These often outperform off-the-shelf tools.

SEO Tools Losing Relevance in 2026

Some tools and metrics are becoming less useful:

  • Exact daily rank trackers
  • Keyword density tools
  • DA/DR obsession
  • Mass backlink prospecting tools

These metrics fail to reflect how search actually works now.

How to Build a Future-Proof SEO Tool Stack

A strong 2026 SEO stack includes:

  • Search Console (core)
  • One all-in-one SEO platform
  • An intent & topic research tool
  • A technical crawler
  • Custom reporting

More tools do not equal better SEO—better insights do.

Final Takeaway: SEO Tools Must Evolve With Search

The best SEO tools for 2026 are not about chasing rankings.

They are about understanding intent, visibility, and usefulness in an AI-driven search environment.

Tools that adapt will thrive.

Tools built for the old web will fade.

Choose platforms that help you think—not just track.

Google is Redefining “Fair Use” in Search

Google Is Redefining “Fair Use” in Search: What SEOs Need to Understand in 2025

For years, SEO operated on an unspoken assumption: if content was publicly accessible on the web, it could be indexed, analyzed, summarized, and reused in various ways.

That assumption is no longer safe.

Between Google’s AI Overviews rollout, its 2025 Core Updates, and now legal action targeting large-scale SERP scraping, a clear pattern has emerged:

Google is actively redefining what “fair use” means inside modern search.

This shift has major implications for publishers, SEOs, marketers, data providers, and anyone who relies on search visibility as a growth channel.

This article explains:

  • How Google historically treated fair use in search
  • What changed with AI-driven search
  • Why Google is tightening control over data and content usage
  • How this impacts SEO strategies in 2025
  • What types of reuse are now risky
  • How to future-proof your content and SEO approach

This is not a legal analysis. It is a practical SEO reality check.

How Google Historically Approached Fair Use in Search

For most of Google’s history, search operated under a broad interpretation of fair use.

Google:

  • Crawled publicly available pages
  • Displayed snippets of content
  • Cached versions of pages
  • Allowed third-party tools to analyze rankings
  • Tolerated large SEO data ecosystems

The tradeoff was simple:

Publishers allowed indexing.
Google sent traffic.

That balance held as long as search functioned primarily as a referral engine.

Why AI Search Broke the Old Fair Use Model

AI-driven search fundamentally changed the relationship between content creators and Google.

With AI Overviews, Google no longer just points users to answers—it generates them.

This introduces new tensions:

  • Answers appear without clicks
  • Content is summarized, not referenced directly
  • Publishers provide value without guaranteed traffic
  • Search results become training and inference inputs

From Google’s perspective, this increases risk.

From publishers’ perspective, it challenges the original value exchange.

The Shift From “Indexing” to “Usage”

The core issue in 2025 is no longer whether Google can index content.

It is how that content is used.

Google is drawing sharper distinctions between:

  • Indexing content to rank pages
  • Displaying small snippets to guide clicks
  • Extracting data at scale
  • Summarizing and synthesizing content via AI
  • Reselling or redistributing derived data

As usage becomes more transformative, Google’s tolerance narrows.

Why SERP Scraping Became a Flashpoint

SERP scraping sits at the intersection of content, data, and infrastructure.

At scale, SERP scraping:

  • Extracts Google’s ranking decisions
  • Recreates search results outside Google
  • Feeds third-party tools and AI models
  • Consumes significant infrastructure resources

In the AI era, SERP data reveals far more than rankings—it exposes how Google thinks.

This makes unrestricted scraping incompatible with Google’s current priorities.

What This Means for Content Reuse and SEO Practices

SEOs must now think carefully about how content is reused, repurposed, and scaled.

Practices Becoming Riskier in 2025

  • Mass content aggregation without original insight
  • Large-scale content scraping and rewriting
  • Automated summary sites
  • Derivative content built purely for rankings
  • AI-generated content farms

These practices increasingly blur the line between fair use and exploitation.

Practices That Remain Aligned With Google’s Direction

  • Original analysis and commentary
  • First-hand experience and insights
  • Unique data and case studies
  • Clear attribution and sourcing
  • Human-led content creation

Original value is becoming the defining factor.

How Google’s Core Updates Reinforce This Shift

Google’s 2025 Core Updates consistently emphasize:

  • Content written for people
  • Demonstrated experience
  • Added insight beyond what already exists
  • Comparative usefulness

These principles directly discourage large-scale reuse without contribution.

In other words, Google’s ranking systems and enforcement actions are aligned.

Why “Publicly Available” No Longer Means “Free to Reuse”

Many SEOs still assume that if content is publicly accessible, it can be freely reused.

In practice, Google is signaling that:

  • Access does not equal permission
  • Scale changes intent
  • Automation changes impact
  • Commercialization changes expectations

These distinctions matter more as AI amplifies scale.

What This Means for SEO Strategy in 2025

SEO Is Moving Away From Extraction

Winning strategies now focus less on extracting signals and more on creating value.

Visibility Matters More Than Raw Traffic

As AI Overviews expand, being cited and trusted matters—even without clicks.

Brand Authority Is a Defensive Asset

Strong brands are more resilient to changes in how content is reused.

First-Party Data Is Critical

Search Console, analytics, and direct user signals matter more than third-party datasets.

What SEOs Should Stop Doing Now

  • Building strategies around scraped data dependency
  • Publishing derivative content at scale
  • Chasing volume over insight
  • Assuming Google owes traffic for content access

The rules of engagement have changed.

What SEOs Should Do Instead

  • Create content that cannot be easily summarized
  • Invest in expertise and experience
  • Build topic authority, not page count
  • Optimize for trust and clarity
  • Align with Google’s stated guidance

The Bigger Picture: Control vs Openness in Search

Google is navigating a difficult balance.

It must:

  • Provide open access to information
  • Protect its infrastructure
  • Safeguard AI systems
  • Maintain publisher relationships

The result is a tighter, more controlled search ecosystem.

Final Takeaway: Fair Use in SEO Is Now About Value, Not Access

In 2025, fair use in search is no longer defined by what is technically possible.

It is defined by intent, scale, and contribution.

SEOs who adapt to this reality—by focusing on originality, usefulness, and trust—will continue to succeed.

Those who rely on extraction, automation, and reuse without value will struggle.

Search is still open—but the bar has been raised.

Google’s DMCA Lawsuit Against SERP Scraping

Google’s DMCA Lawsuit Against SERP Scraping

Google’s decision to file a lawsuit targeting large-scale SERP scraping marks one of the strongest public signals yet about how seriously the company views unauthorized extraction of search results.

For years, SEO tools, rank trackers, and data platforms have relied—directly or indirectly—on scraping Google search results. That ecosystem now faces a fundamental shift.

This case is not just about one company. It is about control, infrastructure, data ownership, and the future of how search data is accessed.

This article explains:

  • What Google’s lawsuit is actually about
  • Why Google is escalating enforcement now
  • How SERP scraping differs from normal SEO tooling
  • What this means for rank trackers and SEO platforms
  • How AI search accelerated Google’s response
  • What marketers and SEOs should expect next

If you rely on SEO tools—or build them—this is a development you cannot ignore.

What Is Google Alleging in the SERP Scraping Lawsuit?

According to public reporting, Google’s lawsuit alleges that large-scale scraping of search results violates Google’s terms and harms its infrastructure.

The case centers on the automated extraction of Google search results at scale, often for resale or redistribution through APIs.

Google’s position is that:

  • Search results are protected content
  • Automated scraping bypasses safeguards
  • Large-scale scraping consumes infrastructure resources
  • Third-party resale of SERP data undermines Google’s control

This is not a claim about individual searches or casual use. It is about industrial-scale data extraction.

Why Google Is Escalating Now

Google has tolerated a gray market of SERP scraping for years. So why act now?

Several converging factors explain the timing.

AI Search Increased the Value of SERP Data

With the rise of AI Overviews and generative search, SERP data is no longer just ranking information—it is training data.

Search results now reflect:

  • Intent interpretation
  • Authority weighting
  • Entity relationships
  • Content trust signals

This makes large-scale SERP datasets significantly more valuable—and more sensitive.

Infrastructure Costs Have Exploded

AI-powered search is expensive.

Scraping at scale:

  • Consumes bandwidth
  • Increases compute costs
  • Interferes with performance

Google now has stronger incentives to protect its systems.

SERP Data Is Being Resold and Productized

Many scraping services do not simply collect data for internal analysis—they package and sell it.

This puts Google in direct competition with third-party data providers built on Google’s own results.

SERP Scraping vs Legitimate SEO Tooling

Not all SEO tools operate the same way.

Google’s lawsuit does not mean SEO tools are illegal—but it does draw a sharper line.

Low-Risk Activity

  • Manual searches
  • Search Console data
  • Google-approved APIs
  • Sampling-based rank checks

High-Risk Activity

  • High-frequency automated queries
  • Bypassing rate limits
  • Masking IPs to avoid detection
  • Reselling raw SERP data

The lawsuit targets scale, automation, and commercial exploitation—not SEO analysis itself.

What This Means for Rank Tracking Tools

Rank tracking is one of the most scraping-dependent SEO functions.

As enforcement increases, we are likely to see:

  • Reduced keyword tracking frequency
  • More sampled or averaged ranking data
  • Greater reliance on Search Console integrations
  • Higher costs for enterprise-grade tools

Perfect, real-time rank tracking at massive scale is becoming less realistic.

Why Google Is Willing to Risk SEO Backlash

Google understands that SEO professionals rely on data—but Google’s priorities have shifted.

From Google’s perspective:

  • Search results are not a public utility
  • Unauthorized scraping threatens stability
  • AI search raises the stakes for data control

Google is signaling that the era of unrestricted SERP access is ending.

How AI Overviews Accelerated This Conflict

AI Overviews fundamentally change the value of search data.

SERP data now reveals:

  • How Google synthesizes answers
  • Which sources it trusts
  • How intent is interpreted

Allowing unlimited scraping would expose Google’s AI decision-making at scale.

This lawsuit is as much about protecting AI systems as it is about search results.

What SEOs and Marketers Should Expect Next

More Tool Volatility

Some SEO tools may:

  • Lose data granularity
  • Change pricing models
  • Reduce keyword coverage

More Emphasis on First-Party Data

Search Console, analytics, and conversion data will matter more than rank positions alone.

Less Obsession With Exact Rankings

As tracking becomes less precise, SEO will shift further toward:

  • Visibility trends
  • Topic ownership
  • Intent coverage
  • Business outcomes

Stricter Enforcement Across the Ecosystem

This lawsuit is likely a precedent, not a one-off.

What This Does NOT Mean

This lawsuit does not mean:

  • SEO is dead
  • Rank tracking is illegal
  • Google is ending transparency

It means Google is asserting control over how its data is extracted and reused.

How Rank Rise Views This Shift

At Rank Rise, we see this as an acceleration of trends already underway.

SEO success in 2025 does not depend on perfect ranking data—it depends on:

  • Intent alignment
  • Topical authority
  • AI Overview visibility
  • Engagement quality
  • Revenue impact

Tools may change, but strategy matters more than ever.

Final Takeaway: Google Is Drawing a Line Around Its Data

Google’s lawsuit against large-scale SERP scraping is not an attack on SEO.

It is a declaration that search data—especially in the AI era—is a protected asset.

The SEO industry will adapt, just as it always has.

The winners will be those who focus less on extracting every data point and more on understanding how search actually works.

That future is already here.

Google Local Service Ads Tests Removing “More Results” Button

Google Local Service Ads Tests Removing “More Results” Button

What It Means for Local Businesses, Advertisers, and the Future of Google’s Pay-Per-Lead Model

Google is once again experimenting with the user experience inside its Local Service Ads (LSA) platform — this time by testing the removal of the “More Results” button that typically appears beneath the top three LSA listings. This small-sounding change could have big implications for how visibility, competition, and lead generation work within the LSA ecosystem.

If your business relies on Local Service Ads to capture local leads, this test matters. It could shift how users discover providers, who gets exposure, and how ad budgets perform. In this article, we’ll break down what this test means, why Google might be doing it, and what strategies smart advertisers should adopt to stay ahead.


What’s Changing: The “More Results” Button Test

Traditionally, Local Service Ads appear at the very top of Google’s search results when users look for service-based businesses like plumbers, electricians, roofers, lawyers, HVAC technicians, and other verified local providers.
These ads show three listings by default, with a “More results” button that lets users open an extended list of service providers.

The test now in progress removes that button entirely for some users. Instead of a tappable expansion panel that displays additional businesses, users see only the initial three LSAs — and must scroll further down to find organic results or other ad formats.

In other words:

  • Fewer ads get visible exposure in the prime, above-the-fold area.

  • Click opportunities decrease for businesses outside the top three.

  • Competition for those top three spots intensifies.

This test appears to be limited and may not yet affect all markets or industries, but early reports show it could significantly reshape LSA visibility.


Why Google Might Be Testing This Change

Whenever Google experiments with search layout changes, it’s usually driven by data. The decision to test removing “More Results” likely ties to a mix of user-experience goals, monetization optimization, and evolving search behaviours.

Here are the most likely reasons behind this move:

1. Improving user experience and reducing friction

Google’s goal is always to help users find the right business as quickly as possible. The company may have observed that most clicks already go to the first three LSAs — meaning the “More Results” button adds extra friction without delivering meaningful user benefit.

2. Encouraging stronger competition and ad quality

By reducing the number of available visible listings, Google forces advertisers to improve their performance, reviews, responsiveness, and verification quality to earn one of the top positions.
Fewer visible spots may raise the overall quality bar for businesses participating in the LSA program.

3. Testing engagement vs. scroll behaviour

Google frequently runs A/B tests to measure how users interact with different SERP designs. By removing the expansion option, Google can compare whether users are more likely to click one of the top ads, scroll to organic listings, or refine their search.

4. Increasing monetization potential

A smaller, more competitive LSA layout could drive higher bid competition for top-tier visibility — potentially increasing average cost-per-lead (CPL) and boosting Google’s ad revenue per query. For Google, fewer available impressions can create artificial scarcity, encouraging higher bids.

5. Alignment with mobile-first design

On mobile devices, where most LSA traffic originates, interface simplicity matters. Fewer buttons and shorter scroll paths improve load time and usability. Removing “More Results” could be part of a broader simplification of the LSA mobile interface.


How This Impacts Local Businesses and Agencies

The implications of this test are far-reaching. Here’s how it affects visibility, lead generation, and competition inside Google’s local ad ecosystem.

1. Only the top three providers win prime exposure

If Google permanently removes the expansion panel, only the top three LSAs will benefit from prime real estate. For small and mid-tier advertisers, this raises the stakes dramatically — visibility could drop overnight if your business doesn’t make the top tier.

2. Lower listings may lose impressions and leads

Businesses ranking fourth and beyond could experience a major drop in call volume, message inquiries, and booked leads. Without the “More Results” option, they may lose visibility even if they maintain strong reviews and budgets.

3. Brand strength becomes even more valuable

With fewer listings visible, brand recognition and trust signals (ratings, reviews, response rate, Google Guarantee badge) will matter more than ever. Users are more likely to choose from the three they see immediately — meaning those businesses must stand out at a glance.

4. Budget competition likely intensifies

Limited inventory drives competition. As advertisers fight to remain visible, cost-per-lead could increase. Businesses may need to raise bids or improve lead quality metrics to stay in top placement.

5. Organic listings might get partial rebound traffic

Some users may scroll further to find more options if the “More Results” button disappears. This could slightly benefit organic local pack and map results, though the impact will vary by search intent.

6. Local SEO and LSA performance will become more intertwined

If fewer LSAs appear, businesses can’t rely solely on ads for lead generation. The importance of a hybrid strategy — combining Local Service Ads, Google Business Profile optimization, and organic SEO — grows even stronger.


How Local Service Ads Work (and Why This Matters Now)

To understand the weight of this test, let’s recap how LSAs function.

Pay-Per-Lead Model

Unlike Google Ads, where advertisers pay per click, Local Service Ads use a pay-per-lead model. You pay only when a potential customer contacts you through the ad — by call, message, or booking request.

Ranking Factors in LSAs

Google determines which LSAs appear based on:

  • Proximity (location relevance to the searcher)

  • Review score and quantity

  • Response rate and reliability

  • Business hours and availability

  • Budget and bidding

  • Verification status (Google Guarantee or Google Screened)

With the “More Results” button gone, ranking signals will have to be more precise — only the top three will see meaningful impressions.


Google’s Broader Trend: Simplifying Results Pages

This test fits a broader trend across Google Search in 2025: simplified interfaces, fewer clicks, and AI-assisted discovery.

1. Fewer on-page distractions

From product results to hotel listings to AI Overviews, Google is trying to streamline user flow. Removing unnecessary interactions like “More Results” aligns with a minimalist UX philosophy.

2. AI-driven recommendations are rising

As Google increasingly integrates AI and predictive ranking, its systems will likely decide which providers users are “most likely” to choose — further limiting manual exploration. For LSAs, that means algorithmic quality scores could play a larger role.

3. Focus on verified trust

The Local Service Ads program’s hallmark is trust: verified providers with background checks, licenses, and reviews. Google’s push to surface only the most credible businesses matches its long-term effort to eliminate spam and low-quality results.


How to Prepare: Strategies to Stay Competitive if “More Results” Disappears

If Google rolls this change out broadly, businesses must adapt quickly. Here’s how to protect — and even strengthen — your LSA performance in a more competitive environment.

1. Maximize your review volume and average rating

Reviews are one of the strongest ranking signals for LSAs. Aim for consistent, authentic customer reviews — especially with the Google Guarantee or Screened badge visible.
Encourage customers to leave reviews immediately after service, and respond promptly to all feedback.

2. Improve response rate and lead quality

Google rewards businesses that quickly respond to leads and maintain high satisfaction rates. Keep your LSA inbox monitored, set up SMS notifications, and follow up with all leads to maintain strong responsiveness metrics.

3. Raise your budget strategically

If your business is dropping out of the top three, experiment with incremental budget increases. But rather than blindly raising bids, monitor cost-per-lead and ROI carefully. Sometimes small bid increases can re-enter your business into the top tier.

4. Optimize your LSA profile completely

Ensure your profile includes:

  • Accurate service areas

  • Correct business hours

  • High-quality headshots or logos

  • Verified licenses and insurance

  • Strong business bio and call-to-action

  • All service categories relevant to your niche

A complete, trustworthy profile signals quality to both users and Google’s algorithm.

5. Double down on Google Business Profile optimization

If LSA exposure tightens, your Google Business Profile becomes even more vital. Optimize it for visibility in both the Local Map Pack and organic local results:

  • Add fresh photos and updates weekly

  • Post promotional offers or service updates

  • Keep NAP (Name, Address, Phone) consistent across platforms

  • Build local backlinks and citations

6. Use call tracking and conversion data

Track every lead source using call tracking software or CRM integrations. This helps you identify whether your LSAs, organic listings, or traditional Google Ads are generating the most qualified leads.

7. Monitor impression share

Regularly check impression share data in your LSA dashboard. If your exposure suddenly drops, it could indicate you’re being impacted by the “More Results” removal test or ranking downgrades.

8. Maintain high trust and compliance

Google’s verification policies are tightening. Keep your licenses, insurance, and background checks up to date to avoid suspension or ranking drops. Verified trust signals often make the difference between ranking third and falling out of view entirely.


Potential Upside: A More Streamlined, Fair Ecosystem?

While most marketers will focus on the risks, this change may also offer potential benefits — especially for top-performing businesses.

1. Higher-quality leads

If only the top three LSAs appear, users who click are more likely to be serious prospects. This could improve lead-to-close ratios and reduce wasted inquiries.

2. Simpler competitive landscape

With fewer visible competitors, users may spend less time comparing prices and more time contacting one or two trusted providers. Businesses with strong reputations stand to benefit most.

3. Potential algorithmic fairness

Google might use this as an opportunity to refine ranking signals, giving more consistent visibility to providers who maintain strong performance metrics instead of rotating randomly among verified businesses.


What This Means for Agencies and Multi-Location Brands

Agencies managing multiple clients — or brands with multiple locations — will need to adapt their reporting, bidding, and client education practices.

  • Re-evaluate client expectations: Clients used to seeing their ad visible after clicking “More Results” may no longer find it there. Communicate early that visibility could decline if the change becomes permanent.

  • Adjust lead forecasts: Expect lower impression and click volume, especially for accounts ranked below the top three.

  • Emphasize conversion optimization: With fewer impressions available, focus on maximizing conversion rates from existing leads.

  • Centralize review management: Streamline your process for gathering and responding to reviews across all client locations to maintain strong performance scores.

  • Diversify channel strategy: Invest in Google Ads (search and Performance Max), SEO, social media ads, and local partnerships to balance LSA volatility.


The Future of Local Service Ads: What’s Next?

This test highlights how Google is continuously refining its local monetization strategy. Several trends may define the next generation of LSAs:

1. Dynamic AI-assisted recommendations

As Google integrates AI across its ecosystem, future LSA placements may depend on predictive engagement — AI determining which provider a user is most likely to choose based on behaviour patterns and context.

2. More personalization in results

Expect LSAs to become more user-specific, factoring in previous interactions, proximity, and even price preferences. The “top three” may not be identical for every user — they could rotate based on AI prediction models.

3. Integration with Google Business Messages

As Google unifies its messaging systems, LSA leads may increasingly shift to in-platform messaging or bookings rather than direct calls. That could change lead tracking and conversion attribution models.

4. Evolving verification and spam prevention

Google continues to battle fake listings and low-quality advertisers. Tightening verification standards will likely continue, further elevating trustworthy businesses.

5. Shift toward local performance scoring

Expect Google to expand visibility of “performance insights” for LSAs — allowing businesses to compare their profile completeness, responsiveness, and satisfaction ratings against competitors.


Frequently Asked Questions

Q: What is Google testing with Local Service Ads?
A: Google is testing the removal of the “More Results” button that typically allows users to see additional Local Service Ads. This test limits visibility to the top three LSAs.

Q: Why would Google remove the “More Results” button?
A: The likely goals are to simplify the user experience, reduce friction, emphasize quality over quantity, and test how users interact with fewer available ad listings.

Q: How will this affect local businesses?
A: Businesses outside the top three positions could lose impressions and leads, while those in the top three may see stronger results but face increased competition.

Q: What can businesses do to stay visible?
A: Improve review scores, responsiveness, and verification status. Increase budgets strategically, optimize profiles, and maintain trust credentials to maximize ranking chances.

Q: Will this change be permanent?
A: It’s still an experimental test. Google often runs design experiments before broader rollouts, so the long-term impact will depend on performance data and user feedback.


Final Thoughts: Small Button, Big Consequences

At first glance, removing a “More Results” button might seem minor — but in local advertising, every pixel of visibility matters. For local service providers, this experiment signals that Google is doubling down on efficiency, user trust, and profitability in its pay-per-lead ecosystem.

If you’re managing Local Service Ads, now is the time to:

  • Audit your LSA rankings and performance.

  • Double down on reviews, responsiveness, and verification.

  • Strengthen your Google Business Profile and organic local SEO.

  • Diversify lead sources beyond Google’s ad inventory.

The businesses that adapt fastest will continue to thrive even as Google reshapes the local advertising landscape — one “button” at a time.

Google Ads: Not Going Away in the Age of AI Mode

Google Ads: Not Going Away in the Age of AI Mode

Why advertisers should see it as evolution, not extinction

If you’re involved in online marketing, digital advertising, or search engine optimization, you may have seen the question circulating: “Are Google Ads going away because of AI in search?” The short answer: No—according to Robby Stein, VP of Product for Google Search, the company doesn’t see its advertising platform disappearing even as AI-driven search experiences expand.

In this article we’ll unpack what Google is saying, what that means for advertisers and SEOs, how AI-driven search (generative, multimodal, conversational) is changing the playing field, and what strategic steps you should take to stay ahead.


What Google’s Leadership Is Saying

In an interview published late October 2025, Robby Stein addressed whether Google Ads will vanish as search becomes more AI-centric via features like “AI Mode” and generative search results.

Key highlights:

  • When asked directly, “Do you feel like Google Ads is going away in the future?” Stein replied: “Don’t see them going away.”

  • He explained that user behavior is expanding rather than shifting away from search: “What people actually do… is really expanding.”

  • Google is already experimenting with ad formats inside AI Mode experiences and generative interfaces: “We started some experiments on ads within AI mode …”

  • However, he emphasized that the AI Overviews and generative search results are not currently driven by ads inputs: “It doesn’t use ads information … done entirely with what’s on the web and what’s within Google’s information system.”

The takeaway: Google envisages advertisement as evolving to fit new search formats—not a casualty of AI search.


Why This Matters for Advertisers & SEO Professionals

The statement from Google’s leadership matters for multiple reasons:

  1. Budget visibility: If ads were headed for obsolescence, advertisers might expect reduced visibility or increased costs. But Google signalling continuity means you still need to budget ad-spend and prepare for evolving formats.

  2. Strategic planning: Knowing that Google Ads are not going away allows you to align your organic and paid strategies across the evolving search ecosystem rather than betting solely on one channel.

  3. Ad format innovation: The mention of “new and novel ad formats” within AI Mode means advertisers must anticipate and adapt — for example, ads might appear differently in conversational or multimodal search interfaces.

  4. Organic & paid interplay: SEOs should note that while organic search remains crucial, the boundary between paid and organic may shift as search formats evolve—making integration and coordination between PPC and SEO teams even more important.

  5. Opportunity to gain a competitive advantage: Because many advertisers assume change equals disruption, those that anticipate and act on new ad formats early may gain disproportionate benefit.


How AI Mode & Generative Search Are Changing the Advertising Landscape

Let’s explore how search evolution—especially AI Mode and generative interfaces—affects advertising and what you should watch for:

Expansion of user input

Stein pointed out that search is expanding into more complex, conversational, and multimodal interactions: image-based queries, longer conversational prompts, voice and visual input.

For advertisers this means:

  • Keywords alone will become insufficient; you’ll need to think about query intent, context, and modality.

  • Visual assets and creative may take on greater importance (e.g., image-ads that feed into image-based queries).

  • Voice and conversational triggers may open new surfaces for paid placements.

New ad placement surfaces

Google’s comments that “ads within AI mode” are already being tested suggest that paid opportunities will begin to appear in generative answer surfaces, conversational/agent-style interfaces, and possibly within summarized content rather than only in traditional SERPs.
For example:

  • Imagine an AI chat interface giving a user a recommendation, and next to that appears a “sponsored suggestion” flagged as such.

  • Multimodal results (image, video, voice) might allow new ad creative types.

  • Agents might respond with “recommended provider” options that are paid placements.

Organic + paid coordination

Because generative search emphasises “best answer” and “most relevant content,” organic and paid strategies must coordinate:

  • Use paid to capture immediate visibility while organic content builds authority in new formats.

  • Ensure your ad creative and landing pages reflect the richer intent users now express in AI queries.

  • Advertisers who replicate the value proposition that organic content delivers may see better ad performance (lower CPCs, higher conversions) as relevance improves.


What Doesn’t Change (And Why That’s Important)

Even with AI search evolution, some fundamentals remain stable—which provides a strategic anchor:

  • User intent still matters: Whether search is traditional or generative, users want relevant answers and useful solutions. Ads that meet that need will perform.

  • Quality matters: Small changes in ad creative, landing page experience, and relevancy remain pivotal. AI may change formats, but poor quality will still under-perform.

  • Measurement & testing fundamentals apply: Tracking conversions, ROI, creative testing, audience segmentation—all remain essential.

  • Budgeting & bidding discipline remain required: Volatility doesn’t mean you abandon control. In fact, evolving formats may demand tighter testing and measurement.

  • Brand visibility & trust continue to matter: Generative interfaces may integrate more brand references; advertisers that invest in brand building alongside performance may benefit.


Strategic Actions for Advertisers in the Immediate Term

Here is a practical checklist for advertisers to get ready for the evolving landscape of search + AI + ads:

✅ Review and align creative with new modalities

  • Audit your current ad creative: Are your messages optimized for conversational queries, voice queries, or multimodal formats (images + text + voice)?

  • Begin creating assets that can be reused across formats (text + visuals + video + interactive) so you’re ready when AI-surface ad placements expand.

  • Test variations of your message that speak to intent rather than keywords alone (e.g., “I need this service in one hour” vs. “best service near me”).

✅ Coordinate PPC & SEO teams

  • Ensure PPC and SEO share insight on new query formats, user intent shifts, and emerging surfaces (e.g., voice or image search).

  • Use paid campaigns to test keyword-intent combinations that may later inform organic content strategy (especially for conversational queries).

  • Document insights from AI-mode experiments (if available) and feed them into organic optimisation.

✅ Audit your landing pages and experience

  • Ensure your landing pages align with rich intent: they should answer the question the user asked, or anticipate the next question.

  • Improve page speed, mobile friendliness, visual assets and interactive elements (e.g., chat, calculators) because multimodal search may prioritise richer experiences.

  • Include structured data (schema) to support how pages may be referenced by generative interfaces.

✅ Set aside budget for experimentation

  • Allocate a portion of your ad budget to new placements and formats (e.g., voice search, visual search ads, conversational chat placements).

  • Use A/B testing and experimentation to compare performance of traditional SERP ads vs. new format placements.

  • Track incremental outcomes and adjust bidding strategies accordingly.

✅ Monitor and adapt to ad format rollout

  • Stay alert to announcements from Google about new ad surfaces, AI Mode experiments, and generative search placements. For example, Stein noted that experiments are already underway.

  • Subscribe to PPC/SEM alert feeds and Google Ads product updates.

  • Be ready to pivot quickly once new formats are widely available.


Frequently Asked Questions

Here are common questions you’re likely to see – and that your article can capture – with concise expert answers:

Q: Is Google Ads going away because of AI search?
A: No—Google has explicitly said it does not see Google Ads disappearing even as AI-driven search formats expand.

Q: How will ad formats change with AI Mode and generative search?
A: Ad formats are evolving to fit conversational, image/voice and multimodal queries. Google is testing ads inside AI Mode & AI experiences and planning “new and novel ad formats.”

Q: Should advertisers shift budgets away from search ads?
A: Not at this time. Instead of shifting away, advertisers should adapt: continue search ads while reserving budget for experimentation with emerging formats and aligning with richer user intent.

Q: What role does SEO play if ad formats evolve?
A: SEO remains critically important. Organic content that satisfies intent, aligns with multimodal queries and supports ads will drive long-term visibility. In many cases, paid + organic coordination will yield the best outcome.

Q: How can small businesses prepare for the future of ads in AI search?
A: Small businesses should focus on: making sure their landing pages are user-friendly, mobile-ready and aligned with conversational intent; creating versatile ad assets; and starting small experiments with new formats while keeping core search campaigns running.


Implications for the Future of Digital Advertising & Search

Looking ahead, several strategic implications emerge from Google’s stance:

  • Search advertising is not going away—it’s evolving: Companies that treat this as the end of search ads may fall behind; those that treat it as a transformation have an opportunity.

  • The line between paid and organic is blurring: As search becomes more conversational and multimodal, visibility will be based on relevance, context and modality—not just ranking. Allocating to both paid and organic will be strategic.

  • Rich intent demands richer assets: Advertisers will have to think beyond keywords to the entire user journey, complementary creative formats, and how the message fits into a more complex context.

  • Experience matters more than ever: With generative and multimodal interfaces, users expect more than a simple result. Advertisers whose landing experience delivers rich value will likely succeed.

  • Agility is the new advantage: In an environment of change, being able to test, learn and iterate quickly will separate winners from laggards.

  • Measurement & attribution evolve: New surfaces may require new metrics and attribution models—for example voice/visual query interactions, agent-led conversions, etc. Advertisers need to be prepared.

  • SMBs gain new windows: For smaller advertisers, new ad surfaces may offer less crowded opportunities—early adopters may gain disproportionately.


Conclusion

The concern that Google Ads might disappear in the age of AI-enabled search is understandable—but according to Google’s leadership, it isn’t accurate. Ads are not going away; they are evolving. And this evolution is an opportunity.

For advertisers, marketers and SEO professionals, the key isn’t panic—it’s adaptation. Your strategic focus should include: aligning creative with richer intent, coordinating paid and organic strategies, preparing for new ad placements, auditing landing and user experience, and investing in experimentation.

By recognizing that paid search remains core—but must evolve—you’ll position your campaigns and budgets not just to survive in an AI-driven search world, but to succeed in it. Companies that engage early, act decisively and integrate across channels will be the ones that capture the next generation of search visibility and conversions.

How To Choose The Right PPC Management Agency in 2025

How To Choose The Right PPC Management Agency in 2025

Choosing the right Pay-Per-Click (PPC) management agency in 2025 is more critical than ever. With rising ad costs, increasing competition, and evolving platforms powered by AI and automation, a mediocre agency can drain your budget while delivering lackluster results. Meanwhile, the right partner can help you scale profitably, dominate your niche, and gain a competitive edge.

In this guide, we’ll walk you through how to choose the best PPC management agency in 2025, what to look for, what red flags to avoid, and how to evaluate agencies based on your goals and budget.

Why PPC Strategy Is More Complex in 2025

The digital advertising landscape is shifting rapidly. Here’s what’s different in 2025:

  • AI-generated ads and predictive bidding are standard across Google Ads, Meta, LinkedIn, and TikTok.

  • First-party data and server-side tracking are essential due to cookie deprecation.

  • Ad fatigue and rising CPCs make creative testing and funnel strategy more important than ever.

  • Agencies now need to be cross-platform strategists, conversion optimizers, and analytics pros, not just campaign managers.

A modern PPC agency must offer more than keyword targeting—they need to be your growth partner.

Key Traits of a Great PPC Agency in 2025

Here are the must-have traits to look for in your ideal agency partner:

1. Proven Track Record of ROI

Ask for case studies or client references where they’ve improved return on ad spend (ROAS), reduced cost-per-acquisition (CPA), or scaled ad campaigns profitably. Numbers speak louder than promises.

2. Certified & Platform-Savvy

Top agencies in 2025 are certified partners with Google, Meta, LinkedIn, and other platforms. They stay up-to-date with platform changes and betas, and they use advanced features like Performance Max and Advantage+ with precision.

3. Full-Funnel Strategy

A top agency doesn’t just generate clicks—they design ad funnels that convert. Look for capabilities like:

  • Landing page optimization

  • Retargeting sequences

  • A/B testing

  • Conversion rate optimization (CRO)

  • Sales-qualified lead generation (SQL)

4. Transparent Reporting

Expect more than screenshots or vague summaries. The best agencies offer:

  • Real-time dashboards (via Looker Studio, Databox, etc.)

  • Weekly or bi-weekly updates

  • Clear KPIs: ROAS, CPL, CPA, LTV, etc.

5. Custom Strategy (Not Cookie-Cutter)

Avoid agencies that offer “starter packages” with generic keywords and stock ads. Your agency should create a custom strategy for your:

  • Industry

  • Audience

  • Funnel

  • Offer

6. Strong Communication

Responsiveness, regular meetings, and strategic input are vital. A good agency acts like an extension of your team—not just a vendor.

Questions to Ask Before Hiring a PPC Agency

To evaluate the right fit, ask agencies the following:

  • What’s your approach to campaign optimization and testing?

  • Can you share recent results from a similar business or industry?

  • Who will manage my account? How senior is the team?

  • How do you handle creative development (copy, images, video)?

  • How do you handle attribution with GA4 and server-side tracking?

  • What happens if the campaign underperforms?

  • Do you require long-term contracts?

The answers will reveal a lot about their maturity, transparency, and confidence.

Red Flags to Watch Out For

Avoid agencies that:

  • Guarantee #1 rankings or fixed ROAS

  • Use outdated strategies focused only on search keywords

  • Don’t give you access to your ad accounts

  • Rely heavily on automated bidding without human oversight

  • Can’t explain performance metrics clearly

Types of PPC Agencies in 2025

Here’s a breakdown of agency types to help you decide which is right for you:

TypeBest For
Boutique PPC AgenciesNiche businesses seeking hands-on attention
Full-Service AgenciesCompanies wanting PPC + SEO + web + branding
Platform SpecialistsBrands focusing on one channel (e.g., Google Ads)
Ecommerce-Focused FirmsDTC brands scaling with Meta/Google Shopping
Lead Gen ExpertsB2B or local businesses targeting conversions

How Much Should You Pay for PPC Management?

PPC pricing varies based on your ad spend and service model:

Common Models:

  • Flat monthly retainer: $750–$3,000/month

  • Percentage of ad spend: 10–20%

  • Performance-based (hybrid): Retainer + bonus tied to results

Example:

If you spend $5,000/month on Google Ads, expect:

  • A $1,000 flat fee, or

  • 15% of spend = $750/month

Always clarify billing models upfront—and ensure your agency isn’t incentivized to simply increase spend without increasing profit.

What to Expect in the First 90 Days

A great PPC agency will:

  1. Audit and rebuild (if needed) your current campaigns

  2. Identify low-hanging fruit (quick wins)

  3. Launch new campaigns with high-converting copy and creative

  4. Install proper tracking and attribution (GA4, conversions API, etc.)

  5. Run A/B tests on creative, targeting, and landing pages

  6. Report weekly with actionable insights

Final Thoughts: Choosing the Right PPC Partner

In 2025, hiring a PPC agency is not just about managing ads—it’s about choosing a growth partner that understands your business, audience, and goals.

✅ Prioritize experience and results
✅ Demand data transparency
✅ Align with an agency that’s proactive and strategic
✅ Don’t settle for cookie-cutter solutions

Ready to Scale with Confidence?

Rank Rise is a modern PPC management agency built for the future. We combine data, strategy, and creative performance marketing to help businesses grow smarter—not just spend more.

👉 Get Your Free PPC Audit and discover what your current agency might be missing.