Artificial Intelligence

If Google Is No Longer a Monopoly, What Does That Mean for Your Search Strategy?

Sam Varón

The rules of search are being rewritten. From ChatGPT to TikTok, discover why ranking on Google is no longer the final goal—and what your next move should be.

A historic antitrust lawsuit is challenging Google's search dominance, and the ripple effects could reshape the digital landscape. If regulators succeed in curbing Google's monopolistic practices, it could open the door for emerging players like ChatGPT, Perplexity, and other AI-powered interfaces to gain real traction in search.

So, what does that mean for your brand, your marketing strategy, and SEO, as we've known it for the past decade? This shifts how people discover, evaluate, and engage with information online. If that shift takes hold, your Google-focused SEO playbook will need a serious rethink.

The Shifting Sands of Search Dominance

For years, the search landscape has been governed by one central truth: optimize for Google or go unnoticed. From content strategy to site architecture, everything was built around understanding and aligning with Google's algorithm. But between rising regulatory scrutiny and evolving user behavior, that dominance may be weakening.

Three intersecting forces are driving this transformation:

1. Regulatory and Antitrust Action: Disrupting the Default

Governments worldwide are intensifying their scrutiny of Big Tech, and Google is at the center of it. The U.S. Department of Justice and several states have accused Google of stifling competition through exclusive contracts, self-preferencing in search results, and controlling the entire ad stack.

If the courts force Google to change how it integrates services or handles search ranking, that could directly impact its ability to maintain its dominance. For instance:

  • Browser and device manufacturers may be barred from setting Google as the default engine.
  • Google could be required to provide ranking transparency or interoperability with competitors.
  • Self-preferencing (e.g., surfacing YouTube results above all else) might be restricted.

Any of these outcomes would reduce Google's built-in advantage and give users more reason to explore alternatives.

2. AI-Powered Search and the Death of the 10-Blue-Links Model

The rise of generative AI is ushering in a new model of information retrieval—one that's conversational, context-rich, and less dependent on link-based browsing. Instead of typing in keywords and scrolling through results, users now ask questions and receive synthesized, human-like responses from tools like ChatGPT, Perplexity, Claude, or even Apple's upcoming AI assistant.

These AI systems bypass the traditional link economy, pulling from structured data, curated knowledge bases, and a range of real-time web sources. The goal is clear: reduce friction and give users answers faster.

This shift is seismic for SEO. Suddenly, ranking #1 isn’t the only (or even primary) way to be discovered. Brands must now create content that is:

  • Structured for machine comprehension
  • Trusted as a source of truth
  • Rich in semantic detail and factual accuracy

The battleground has shifted from keywords to context.

3. Fragmented Search Journeys and Intent-Led Platforms

The days of users starting every online journey with Google are over. People now begin their searches where their intent is clearest:

These intent-first platforms are carving out territory that Google once dominated. They’re sticky, specific, and tailored to purpose.

For marketers, this means a one-size-fits-all SEO strategy is no longer viable. You need a modular, platform-aware approach that adapts to each user’s preferred method of discovery.

Google’s Next Move: Will It Go All-In on AI?

If Google is legally restrained from continuing its dominance through traditional means, expect a more aggressive pivot into AI. In fact, it’s already happening.

  • Search Generative Experience (SGE): Google’s attempt to layer generative AI into its results to provide richer, conversational answers.
  • Gemini (formerly Bard): Their direct competitor to ChatGPT, now deeply integrated into Google Workspace and Chrome.
  • AI-first ranking and ad models: Google is increasingly shifting to experience-based relevance scoring, using behavioral signals, real-time context, and predictive modeling.

But AI isn't Google's only move. We may also see Google double down on its ecosystem advantage tightening integrations across Chrome, Android, Gmail, Maps, YouTube, and Google Ads. If antitrust actions limit cross-product leverage, Google could start monetizing new AI interfaces directly, creating paid layers, premium knowledge panels, or exclusive content partnerships.

There's also the wildcard of hardware. Google may attempt to shape the future of search through AI-native devices, much like Apple and OpenAI are exploring. The future may involve not just AI chat interfaces but AI-powered wearables, glasses, or ambient assistants, all deeply embedded in our everyday lives.

One thing is clear: if Google's monopoly is under threat, it won't go down without a fight. It will try to control the next search interface—and brands will need to decide where to follow and where to lead.

Diversifying Your Discovery Strategy

If your digital strategy still lives and dies by Google, you're leaving future visibility to chance. The real opportunity now is to build a multi-touch, multi-platform discovery engine.

Let’s break down what that looks like:

E-Commerce Search Engines

Amazon, Walmart, Etsy, and even niche verticals like Wayfair or Chewy are where intent turns into purchase. These aren’t just stores—they’re complex search engines with unique ranking signals like:

  • Conversion rates
  • Fulfillment method
  • Review recency and relevance
  • Inventory health

Your optimization strategy must go beyond keywords. It needs to account for merchandising, logistics, and customer experience.

Social Video and Discovery-First Platforms

TikTok and YouTube aren’t just entertainment platforms. They’re rapidly becoming the go-to engines for product research, how-to guides, and influencer-driven reviews. Pinterest is another key player here, especially for retail, lifestyle, and design categories.

Optimize for visual discovery with:

  • Captivating thumbnails
  • On-screen text overlays
  • Descriptions and hashtags mapped to search behavior
  • Influencer collaborations that build social proof

Local Discovery and Voice Search

Local businesses can’t rely on Google Maps alone. Yelp, Apple Maps, TripAdvisor, and even community-based tools like Nextdoor are becoming vital for location-based discovery especially when paired with voice search like:

“Hey Siri, where’s the best Thai food near me?”

Ensure your NAP (name, address, phone) data is consistent across directories and platforms. And don't ignore reviews they’re the new currency of trust.

AI and Conversational Search Tools

To appear in AI-generated answers, your content needs to be:

  • Credible: with strong backlinks and citations
  • Well-structured: using schema markup and semantic HTML
  • Current: updated regularly to reflect real-time context

Think about content like product comparisons, in-depth guides, glossaries, FAQs, and statistics-rich posts—these are goldmines for AI training and retrieval.

New KPIs for a Decentralized Landscape

As search decentralizes, traditional analytics fall short. Most dashboards still prioritize "Organic Search" or "Referral" as top-level categories, masking how complex real user journeys have become.

To evolve your measurement, focus on these layers:

1. Source-Specific Attribution

Move beyond channel-based attribution (e.g., “Search” or “Social”) and start tracking by exact source and behavior:

  • TikTok Organic Views → Click-throughs to Bio Link → Bounce Rate on Landing Page
  • Reddit Comments → Mention Sentiment → Link Engagement
  • ChatGPT Answer Citations → Resulting Referral URLs

You’ll likely need UTM codes, custom GA4 dashboards, or dedicated third-party analytics tools to break this down. Shameless Plug – Concord has a team that can help!  

2. Event-Based Micro Conversions

Especially in AI-first and video-first environments, not every touchpoint will end in a click—but that doesn’t mean they don’t add value.

Track these:

  • “Added to Save List” on Pinterest
  • “Replayed Video” on TikTok
  • “Copied Link” from a chatbot interface
  • “Watched to 90%” on YouTube Shorts

These are intent signals—just as valuable as clicks or form fills in multi-touch funnels.

3. Search Visibility Without SERP Rankings

In an AI-first world, your brand may be cited by AI tools but never receive direct traffic unless you're measuring for it.

Emerging tools like:

  • Perplexity Analytics
  • ChatGPT Plugin engagement logs
  • Gemini Content Integrations (in Google Workspace)

...can offer insights into how often your content is referenced even if it's not clicked. Think of it like the PR effect: visibility as validation.

Realigning Teams and Skill Sets

Most organizations are still structured around a Google-dominant world—SEO managers, PPC specialists, and content writers working in silos. But as discovery fragments, internal roles must evolve.

1. Content Teams Need Cross-Platform Fluency

Writers and strategists must think beyond blog posts and into:

  • Short-form video scripting
  • Community-driven content (Reddit, Discord)
  • Structured, schema-powered FAQs
  • Product listing optimization for Amazon, Etsy, etc.

Think: editorial meets growth marketing.

2. SEO Must Expand into Discovery Enablement

SEO is no longer about just title tags and backlinks. The modern “SEO” team must collaborate with:

  • Data teams for structured content and analytics
  • Dev teams for voice and chatbot integration
  • Social teams to track shareable queries

This hybrid role let’s call it a “Discovery Strategist” will be essential in the next 5 years.

3. Executive Teams Must Reassess KPIs and Budget Allocation

Are you still investing 90% of your organic budget into Google rankings? That’s risky.

Instead:

  • Allocate resources to video SEO, AI content testing, and emerging platforms
  • Redefine “search ROI” to include brand discovery, indirect attribution, and cross-platform amplification
  • Train leadership to interpret multi-touch reports that span ecosystems

Your Search Strategy Needs a Rebrand

What happens if Google is no longer allowed to operate with the dominance it once held? For most marketers, it means it’s time to stop thinking in terms of "SEO" as a monolith.

This is a turning point. It’s not the death of search. It’s the birth of discovery strategy.

The winners will be those who adapt to a world where search happens:

  • Through conversations, not just keywords
  • On multiple platforms, not just one
  • In varied formats—from short-form video to structured data to voice interfaces It's time to think of content not as a tactic for rankings, but as an interface between your brand and every user journey—wherever that happens.

Much like the democratization of data transformed how organizations operate, the decentralization of discovery is about to reshape how they earn attention.

The Future Is Already Here. Are You Ready? The antitrust spotlight may finally force Google to evolve—and your business should, too. It’s no longer enough to optimize for one algorithm. You’ll need to optimize for everywhere people search.

Because the future of search isn’t just fragmented, it’s fast, intelligent, and fiercely competitive. Let us help you redefine your strategy.  Contact us today!

Sign up to receive our bimonthly newsletter!

Not sure on your next step? We'd love to hear about your business challenges. No pitch. No strings attached.

Concord logo
©2025 Concord. All Rights Reserved  |
Privacy Policy