AI Channel Services

Win the AI-Mediated Buyer Journey

AI is changing how B2B buyers discover, research, evaluate, and compare companies.

Prospects ask ChatGPT, Claude, Gemini, and other AI systems about products, capabilities, competitors, pricing, integrations, and customer experiences. They move between public AI, your website, documentation, chatbot, communities, and other digital channels as they build a shortlist and decide whether to engage with Sales.

This creates a new channel for Marketing and Revenue teams to understand and manage.

A6 Group helps companies develop an AI Channel Strategy that improves how they are discovered, understood, evaluated, and positioned throughout this AI-mediated buying journey.

Our work spans AI visibility and Answer Engine Optimization (AEO), content and positioning, buyer experience, and the integration of AI-generated signals into your broader go-to-market strategy.

The AI Channel Is Bigger Than AI Search

Getting mentioned by ChatGPT is important. It is also only the beginning.

A buyer might discover your company through an AI recommendation, visit your website to understand a capability, ask your chatbot about an integration, review your documentation, return to an AI assistant for a competitive comparison, and eventually engage with Sales.

Every interaction influences the buyer’s understanding of your company.

That is why we think about AI as an AI Demand Channel rather than simply another search engine. AI increasingly participates throughout discovery, research, evaluation, and comparison.

An effective AI Channel Strategy looks beyond whether your company appears in an AI answer. It asks whether buyers can successfully understand and evaluate you across the entire digital buying experience.

How We Help

AI Visibility & Answer Engine Optimization

Understand how your company, products, and category are represented across public AI systems and improve your visibility for the questions that matter to your buyers.

We assess where you appear, how accurately you are represented, which sources influence the answers buyers receive, how competitors are positioned, and where important gaps exist.

We then develop an AEO strategy designed to strengthen your company’s visibility, authority, and representation across AI-mediated research.

AI Positioning & Content Strategy

AI systems interpret your company through the information available to them.

We help ensure that your positioning, differentiation, product capabilities, use cases, competitive strengths, and category expertise are clearly expressed across the content and sources that buyers and AI systems rely on.

This includes identifying content gaps, improving existing content, developing question-driven content strategies, strengthening entity and topic associations, and aligning your AI presence with the positioning you want buyers to understand.

Buyer Experience Strategy

Visibility does not guarantee a good buying experience.

A prospect can discover your company through AI and still encounter incomplete product information, inconsistent positioning, outdated documentation, poor chatbot answers, unclear pricing, or conflicting information across channels.

We apply Buyer Experience Testing to realistic prospect scenarios across public AI and your digital properties to understand what buyers actually encounter as they research and evaluate your company.

The objective is a coherent digital buying experience in which prospects can find accurate information, understand your differentiation, evaluate fit, and make progress toward a decision regardless of where their research begins.

This extends AEO into the broader discipline of Buyer Experience Optimization.

AI Demand & Intent Strategy

AI-mediated research also changes how companies think about demand.

Traditional digital marketing was built around observable interactions such as searches, website visits, content downloads, form fills, and campaign engagement. AI introduces another research environment, much of which happens outside your systems.

We help companies rethink demand and intent for this environment: which buyer questions matter, what signals can be observed, how AI-mediated research connects to existing intent data, and how those signals can inform account prioritization, messaging, and go-to-market programs.

The goal is to connect the AI Demand Channel to the rest of your revenue engine rather than manage it as an isolated AEO initiative.

From Visibility to Buyer Experience Optimization

AI visibility metrics such as Share of LLM, citation accuracy, query coverage, and competitive presence help answer an important question: Are buyers finding and hearing about us in AI?

Buyer Experience Optimization asks the next question: Can those buyers successfully research and evaluate us?

That requires testing realistic buyer scenarios across the channels prospects actually use and evaluating the experience for accuracy, completeness, consistency, positioning, usability, and scenario success.

The progression is straightforward:

AI Visibility → Buyer Experience Testing → Buyer Experience Monitoring → Buyer Experience Optimization

This gives Marketing teams a broader view of the AI-mediated buyer journey and a practical way to identify and prioritize the issues most likely to create friction.

AI-Native Managed Buyer Experience Optimization

For companies that want to continuously test and improve the buyer experience without building and operating the capability internally, A6 Group offers isalo’s Buyer Experience Optimization service.

isalo is an AI-native managed service that uses AI agents to continuously test realistic buyer scenarios across public LLMs, websites, and buyer-facing chatbots. Human experts verify findings, apply business judgment, prioritize what matters, and turn those findings into actionable recommendations.

Companies get an ongoing view of where their digital buying experience is inaccurate, incomplete, inconsistent, poorly positioned, or creating friction, without another monitoring platform for their team to operate.

Build AI Into Your Go-to-Market Strategy

The AI channel should not operate independently from your broader go-to-market strategy.

What buyers learn through AI needs to reinforce your positioning. Your content strategy needs to answer the questions buyers actually ask. Your website and chatbot need to support the evaluation process AI may have started. And the signals created across the journey need to connect back to Marketing, Sales, and Revenue Operations.

A6 Group brings together AI strategy, go-to-market expertise, customer experience, and revenue strategy to help companies build an AI Channel Strategy that fits their market, customers, capabilities, and existing GTM motion.

AI is changing where buyers learn about you and how they decide whether you belong on their shortlist.

Your strategy needs to evolve with them.

How This Fits the Broader Framework

AI Channel Strategy is part of the broader AI Demand Channel, the evolving commercial environment through which B2B buyers discover, research, evaluate, and compare vendors with AI increasingly influencing the journey.

AEO helps you get discovered and accurately represented. Buyer Experience Optimization expands the focus to what happens next: whether prospects can successfully understand and evaluate your company across public AI, your website, chatbots, documentation, and other digital channels. Together, they help companies manage the AI-mediated buyer journey from discovery through evaluation and engagement.

Read the full AI Demand Channel framework and explore AI Demand for research and resources on building your AI Demand Channel.

Sample Engagement

A B2B software company wants to understand how AI is changing the way prospects discover and evaluate its products. The company has strong traditional search visibility, but has limited insight into how it appears in AI-mediated research, how accurately its products and differentiation are represented, or what prospects experience as they move from public AI to its website and chatbot.

We assess the company’s AI visibility and positioning across high-value buyer scenarios, identify content and representation gaps, and test the broader digital buying experience across public AI and owned channels. Based on the findings, we develop a prioritized AI Channel Strategy covering AEO, content and positioning, buyer experience improvements, and ongoing measurement.

The result is a practical roadmap for improving how the company is discovered, understood, and evaluated throughout the AI-mediated buyer journey.

Ready to build your AI Channel Strategy?