Battle of the Brands: Ten Ways You Can Outperform Your Competitors in the War for AEO/GEO Dominance

For years, marketers competed for rankings. The objective was simple: rank higher than your competitors on Google. Today, the competition has changed.

As users increasingly turn to AI platforms to answer questions, brands are competing for something entirely different: AI citations, mentions, recommendations, and share of voice.

The most important question is no longer: “How do I rank #1?”

Instead, it’s: “Why would an AI mention my brand instead of a competitor’s?”

The brands winning in AI search and discovery understand a critical shift: AI systems aren’t selecting webpages. They’re selecting trusted sources, recognized experts, and authoritative brands.

Here’s how leading organizations are building competitive advantage in the AI era.

How AI Decides Which Brands to Mention

Before discussing tactics, it’s important to understand how AI systems think.

Whether it’s ChatGPT, Gemini, Claude, Copilot, or Perplexity, most platforms are evaluating some variation of three key questions:

1.Do I Know This Brand Exists?

This is entity recognition.

Can the AI confidently identify:

Who you are

What you do

Which products you offer

What topics you’re associated with

2.Do I Trust This Brand?

This is authority. Have reputable sources validated your expertise? Have analysts, journalists, customers, and industry experts referenced your work?

3. Should This Brand Be Included in the Answer?

This is topical relevance. When users ask questions about a specific topic, does your organization consistently appear among the most credible sources? The brands that succeed at all three questions earn significantly more AI visibility.

Strategy #1: Own a Topic, Not a Product

Many organizations still make the mistake of trying to dominate conversations about their products. AI systems care more about expertise than product features. The strongest brands become synonymous with specific topics.

Consider the difference:

Brand	Topic They Own
Sitecore	Digital Experience Platforms
Salesforce	CRM
NVIDIA	AI Infrastructure

When users ask questions about those topics, these brands frequently appear regardless of whether someone specifically searched for them. The goal is to create a mental and algorithmic association between your brand and a specific category.

Eventually, AI systems begin connecting those concepts directly with the brand.

Strategy #2: Win Mentions Outside Your Website

One of the biggest differences between traditional SEO and modern GEO is where authority is built. Historically, marketers focused almost exclusively on their own websites. AI platforms pay far more attention to what other people say about you.

A mention in:

Gartner

Forrester

CMSWire

MarTech

Digiday

Search Engine Journal

Industry communities

may contribute more to AI visibility than another hundred pages on your corporate website.

Why? Because third-party validation is a powerful trust signal. It’s your reputation. It’s what others in your industry say about you.

Compare these statements:

Weak Signal: “Our company is a leader in digital experience.”

Strong Signal: “Gartner named the company a Leader in Digital Experience Platforms.”

AI systems generally trust the second statement much more because it originates from an independent source.

Strategy #3: Publish Original Research

One of the fastest paths to increasing AI citations is becoming the creator of original data.

AI platforms consistently prefer content that provides:

Statistics

Research findings

Benchmarks

Surveys

Industry studies

Commodity Content: “Personalization improves customer engagement.”

Citation-Friendly Content: “Our analysis of 5 million website sessions found personalized experiences increased conversions by 17%.”

The first is an opinion. The second is evidence. Evidence gets cited.

This is one reason organizations like Forrester, Gartner, Bain, Deloitte, and McKinsey appear so frequently in AI-generated responses. They continuously generate proprietary research that other publishers reference.

Strategy #4: Strengthen Your Brand Entity

Increasingly, AI systems do not think in webpages. They think in entities. An entity is the collection of relationships surrounding a brand.

For example, AI may understand that a company is associated with:

Specific products

Industries

Technologies

Executives

Partners

Customers

Awards

Certifications

The more consistently those associations appear across the internet, the stronger the brand entity becomes.

For example, if a company’s name frequently appears alongside:

Sitecore

Scrunch

Vercel

Coveo

Gradial

those relationships become embedded into the AI’s understanding of the organization.

Strategy #5: Focus on Questions, Not Brochures

AI systems exist to answer questions. Yet most marketing content still resembles product brochures. This creates a major opportunity.

Instead of creating content like:

Product features

Solution overviews

Corporate messaging

Create content around the actual questions users ask:

How does Sitecore compare to Salesforce?

What is a composable DXP?

How should organizations structure content for AI?

What drives successful personalization programs?

How long does an XM Cloud migration typically take?

The brands answering these questions become the brands AI cites.

Strategy #6: Make Content Easy for AI to Reuse

The highest-performing AI content is surprisingly structured.

AI models frequently pull information from:

Definitions

Checklists

Frameworks

Comparison tables

FAQs

Statistics

Step-by-step guidance

In contrast, they struggle to extract value from lengthy marketing language.

Difficult to Reuse “Our platform enables businesses to unlock transformational customer-centric innovation.”

Easy to Reuse “A composable DXP separates content, presentation, search, analytics, and personalization into independent services that can evolve independently.”

The second statement is specific, educational, and reusable. AI systems love reusable content.

Strategy #7: Increase Expert Visibility

AI doesn’t just recognize brands. It increasingly recognizes people.

Consider how often these names appear in AI-generated responses:

Jensen Huang

Satya Nadella

Scott Brinker

Rand Fishkin

Their visibility strengthens their companies’ visibility. The same principle applies to every industry.

Brands benefit when their experts become visible through:

Conferences

Webinars

Podcasts

Industry publications

LinkedIn articles

Research reports

Organizations that invest in expert visibility often outperform organizations that publish only under a corporate brand.

Strategy #8: Own the Comparison Conversation

Some of the most valuable AI prompts involve comparisons.

Examples include:

Sitecore vs Adobe

Adobe vs Optimizely

Contentful vs Contentstack

Headless CMS vs DXP

Personalization vs recommendation engines

These are often high-intent buying questions. Yet many companies avoid comparison content because they fear helping competitors. That’s usually a mistake. If your organization doesn’t participate in those comparisons, AI systems will learn from competitors that do. The brands that shape the comparison often shape the buying decision.

Strategy #9: Build Authority Beyond Your Website

Modern AI systems learn from far more than websites.

Increasingly important sources include:

Podcasts

YouTube

Industry communities

Conferences

Webinars

Public discussions

This is particularly important for platforms like:

ChatGPT

Grok

Meta AI

The strongest AI visibility programs create an ecosystem of authority across multiple channels rather than relying solely on a corporate website.

Strategy #10: Write Content AI Can Quote

One overlooked tactic is creating content that can be quoted directly.

Ask: “Could an AI model lift this sentence and include it in an answer?”

If the answer is yes, you’ve likely created citation-friendly content.

Strong examples include:

Definitions

Frameworks

Methodologies

Statistics

Industry explanations

Weak examples include generic marketing language that says little and teaches nothing. The easier it is for an AI to understand and reuse your content, the more likely it is to become part of future responses.

From SEO Rankings to AI Recommendations

The most successful brands are shifting their mindset.

Traditional SEO focused on: Ranking → Traffic → Conversions

Modern GEO increasingly focuses on: Authority → Citations → Mentions → Recommendations

That’s because AI systems aren’t asking: “Which page ranks highest?”

They’re asking: “Which organization would a knowledgeable expert reference when answering this question?”

The companies that become recognized experts, generate original research, earn third-party validation, cultivate visible thought leaders, and consistently answer important industry questions will earn a growing share of AI citations and mentions.

And in the age of AI-powered discovery, those mentions increasingly determine which brands make the shortlist, enter the consideration set, and ultimately win customers.