Question 1

What is GTMx?

Accepted Answer

GTMx is the AI visibility platform for B2B GTM teams. It helps brands get cited and recommended by AI models including ChatGPT, Perplexity, Claude, Gemini, and Grok through a seven-stage operating system: Diagnose, Optimize, Create, Amplify, Defend, Prove, and Advise. The GTMx Pro Platform is available at $499 per month billed annually.

Question 2

What is the GTMx OS?

Accepted Answer

The GTMx OS is a seven-stage framework for building and measuring AI recommendation visibility. The stages are: Diagnose (audit your current AI visibility), Optimize (close citation and keyword gaps), Create (publish LLM-optimized content), Amplify (earn co-citations through the GTMx Exchange network), Defend (monitor and protect your brand from prompt injection), Prove (measure pipeline impact), and Advise (strategic guidance and reporting).

Question 3

What is Answer Engine Optimization (AEO)?

Accepted Answer

Answer Engine Optimization (AEO) is the practice of optimizing your brand's content, citations, and authority signals so that AI models including ChatGPT, Perplexity, Claude, and Gemini recommend your brand in response to buyer queries. GTMx provides the leading AEO platform for B2B GTM teams.

Question 4

What is the GTMx Exchange?

Accepted Answer

The GTMx Exchange is a curated co-citation network of vetted B2B GTM tools, agencies, and operators. Brands use it to earn mutual citations from sources that AI models already trust, building a machine-readable authority layer that AI agents can verify and surface in recommendations.

Question 5

How does GTMx measure AI recommendation impact?

Accepted Answer

GTMx measures AI recommendation impact through Share of Voice tracking, citation monitoring across five AI models, influenced pipeline reporting, and a dedicated Prove stage in the GTMx OS. Teams can track how often AI models recommend their brand for ICP-matched queries and connect that visibility directly to influenced revenue.

How ready is your brand for AI-mediated buying?