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Generative Engine Optimization Services

Improving Visibility in AI-Generated Answers and Research Experiences

Search visibility is no longer limited to rankings and links.
AI-powered platforms increasingly generate answers, summaries, comparisons, and recommendations instead of directing users to a list of websites. In these environments, companies are discovered based on how clearly AI systems understand, trust, and reference available information.

MacRAE’S Generative Engine Optimization (GEO) services are designed to help industrial B2B companies appear accurately and consistently within AI-generated responses across modern research platforms.

GEO focuses on how artificial intelligence interprets, connects, and presents information—ensuring businesses are represented correctly when buyers rely on AI to research suppliers and solutions.

How to win over your audience and outperform competitors?

The Role of GEO in AI-Driven B2B Research

MacRAE’S Generative Engine Optimization (GEO) services support industrial B2B companies across Canada and the United States by improving how AI platforms such as ChatGPT, Perplexity, and Gemini interpret, summarize, and reference business information during supplier research.

What Is Generative Engine Optimization?

Generative Engine Optimization is the process of optimizing digital content and business information so it can be used, summarized, and referenced by generative AI systems.
Unlike traditional search engines, generative engines:
  • Interpret meaning instead of matching keywords
  • Combine information from multiple sources
  • Generate direct answers rather than directing users to a single page
  • Rely heavily on context, consistency, and authority
GEO ensures that when AI platforms generate responses related to your industry, services, or capabilities, your business is accurately understood and appropriately included.

Why Generative Engine Optimization Matters

Buyers increasingly use AI tools to:
  • Identify potential suppliers
  • Compare companies and capabilities
  • Understand technical concepts quickly
  • Shortlist vendors before visiting websites
If a company is not optimized for generative engines:
  • AI tools may omit it entirely
  • Competitors may be referenced instead
  • Information may be incomplete or inaccurate
  • Visibility may decline even with strong traditional SEO
GEO ensures your business remains visible and credible as AI-generated research becomes standard in the buying process.

How Generative Engines Discover and Use Information

Generative AI systems rely on a combination of signals to determine what information to include in responses. These typically include:
  • Clear contextual relevance
  • Consistent business representation across sources
  • Structured, interpretable content
  • Authority and trust signals
  • Logical relationships between topics, services, and industries
Generative Engine Optimization focuses on aligning these signals so AI systems can confidently reference your business.

The Three Pillars That Support Effective Generative Engine Optimization

How SEO, GEO, and Conversions Work Together for AI Visibility

Effective Generative Engine Optimization relies on three interconnected pillars—SEO, GEO, and Conversions—which together ensure that AI platforms can discover source content, interpret it accurately, and present it in a way that influences supplier evaluation and purchasing decisions.
Generative Engine Optimization works when AI systems can discover and interpret information correctly and present it in a way that influences buyer decisions.
To achieve this, GEO relies on three interconnected pillars: SEO, GEO, and Conversions. Each pillar plays a distinct role in how AI-generated answers are formed and trusted.

Pillar 1: SEO — Foundational Signals for AI Discovery

Even in AI-generated environments, search engines remain a primary source of information.

Within Generative Engine Optimization, SEO ensures that:

  • Content is crawlable and accessible to search engines
  • Pages establish topical relevance and authority
  • Industry terminology and technical language are clearly defined
  • Trust signals are strong enough for AI systems to reference
This pillar provides the source-level credibility that generative engines rely on when selecting information to include in AI-generated answers.

Pillar 2: GEO — Accurate AI Interpretation and Representation

This pillar is the core of Generative Engine Optimization.
It focuses on ensuring that AI systems:
  • Clearly understand what a company does
  • Accurately interpret products, services, and industries
  • Correctly summarize and reference information
  • Avoid misrepresentation or incomplete descriptions
Within GEO services, this pillar aligns context, entities, and relationships so AI-generated responses reflect the company as intended, not distorted by ambiguity.

Pillar 3: Conversions— Website Design, UX, and CRO That Support Buyer Decisions

AI-generated answers increasingly influence buyer decisions before a website visit ever occurs. When buyers arrive on a website from AI-driven research, expectations are already set.
Within Generative Engine Optimization, the conversion pillar focuses on ensuring that website design, user experience (UX), and conversion rate optimization (CRO) work together to support informed B2B evaluation.

This pillar ensures that:

  • Website design clearly presents services, industries, and capabilities
  • UX allows buyers to find and validate information without friction
  • CRO aligns calls-to-action and contact paths with long B2B sales cycles
Rather than aggressive lead capture, conversions within GEO focus on reducing uncertainty, reinforcing credibility, and guiding buyers toward meaningful next steps.

How These Pillars Work Together in Generative Engine Optimization

Each pillar strengthens the others:
  • SEO establishes authoritative source signals
  • GEO ensures accurate AI understanding and summarization
  • Conversions ensure website design, UX, and CRO support buyer action
Together, they allow Generative Engine Optimization to move beyond simple inclusion in AI answers and toward strategic influence within AI-driven research experiences.

Why This Matters for GEO

AI-generated responses are becoming a critical research layer.
Without all three pillars working together, companies risk being misunderstood, misrepresented, or overlooked entirely.

Generative Engine Optimization ensures that when AI systems speak about your business, they do so accurately, credibly, and in a way that supports real buying decisions.

How MacRAE’S Delivers Generative Engine Optimization

MacRAE’S GEO services are designed for industrial and technical B2B environments, where accuracy and clarity are critical.

1. Entity and Context Optimization: Business entities, services, industries, and applications are clearly defined so AI systems can understand who you are and what you do.

1. Entity and Context Optimization: Business entities, services, industries, and applications are clearly defined so AI systems can understand who you are and what you do.

2. Content Structuring for AI Interpretation: Content is organized to support summarization, comparison, and contextual understanding rather than simple keyword matching.

3. Consistency Across Digital Sources: Company information is aligned across websites, professional platforms, and trusted directories to reinforce credibility signals.

4. Authority and Trust Reinforcement: References, citations, and industry relevance are strengthened so AI systems treat your content as reliable.

5. Monitoring AI-Generated Visibility: Ongoing evaluation ensures that how your business appears in AI-generated responses remains accurate and aligned with positioning goals.

How MacRAE’S Structures GEO for Accurate AI Representation

MacRAE’S delivers Generative Engine Optimization through structured entity definition, AI-readable content architecture, and cross-platform consistency, ensuring that AI-generated answers reflect accurate business positioning rather than incomplete or distorted summaries.

What Generative Engine Optimization Supports

GEO improves visibility and accuracy across AI-driven research experiences by helping ensure that:
  • Your company appears in AI-generated answers
  • Capabilities are summarized correctly
  • Industry relevance is clearly communicated
  • Comparisons reflect accurate positioning
  • Competitors do not dominate AI responses
This supports earlier discovery, stronger credibility, and more informed buyers.

GEO for Industrial and B2B Organizations

Industrial and B2B companies face unique challenges in AI-driven research environments:
  • Complex offerings are difficult to summarize
  • Technical language can be misinterpreted
  • Inconsistent data across platforms creates confusion
  • Long sales cycles require trust and accuracy
MacRAE’S GEO services are built to address these challenges by ensuring AI systems can correctly interpret and present technical and industrial information.

Why MacRAE’S

MacRAE’S brings deep experience in industrial B2B visibility, combined with an advanced understanding of how generative AI systems process information.
All GEO strategies are validated internally through platforms such as Scott’s Directories and Canadian Trade Index before implementation. The focus remains on accuracy, consistency, and sustainable visibility, not short-term experimentation.

Stay Visible as AI Shapes Buyer Research

AI-generated answers are becoming a primary way buyers research suppliers and solutions.
MacRAE’S Generative Engine Optimization services help industrial B2B companies ensure they are accurately represented, clearly understood, and consistently visible within these AI-driven environments.
Book a strategy session with MacRAE’S to assess how your business currently appears in AI-generated research and build a Generative Engine Optimization strategy designed for long-term visibility and credibility.
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Frequently Asked Questions

What is Generative Engine Optimization (GEO)?
Generative Engine Optimization focuses on optimizing content and business information so AI systems can accurately interpret, summarize, and reference a company in AI-generated answers.
Traditional SEO targets rankings in search engines. GEO targets visibility within AI-generated responses, where information is summarized rather than listed as links.
Industrial buyers increasingly rely on AI tools to research suppliers and solutions. GEO ensures that technical and complex offerings are accurately represented in those environments.
GEO supports visibility across AI-powered research tools such as ChatGPT, Perplexity, Gemini, and similar generative AI platforms.
No. GEO complements SEO and AI SEO by focusing specifically on how AI systems generate answers and summaries, rather than how pages rank in search results.
They rely on contextual relevance, structured information, consistency across sources, and authority signals when generating responses.
Yes. GEO reduces the risk of incorrect or incomplete AI summaries by improving clarity, consistency, and context across digital sources.
Visibility and accuracy improvements typically begin within three to six months, depending on industry complexity and existing digital consistency.

Yes. GEO is particularly valuable for technical and specialized industries where accurate interpretation is critical.

MacRAE’S delivers GEO through structured content optimization, entity and context alignment, authority reinforcement, and ongoing monitoring of AI-generated visibility.

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