AI-Driven Sales/Marketing
Consulting
Use Case: AI Consulting
The Problem
AMP Social reached out to Vyrtices because they wanted to increase their visbility on ChatGPT and other AI-driven discovery tools. Their team had invested heavily in high-quality videos, landing pages, customer stories, and product briefs, but they were not sure if the way they had structured their content could be reliably interpreted by that large language models. As executives and buyers increasingly turn to AI assistants instead of traditional search to compare vendors and evaluate solutions, the company worried they were becoming invisible in the exact channels where decisions were beginning.
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They needed expert guidance on how ChatGPT processes information, how to structure and format their content so it can be confidently referenced, and how to build ongoing internal workflows to ensure every new asset they publish is “AI-visible” from day one.
The Solution
Vyrtices worked with AMP Social to audit their existing content and redesign it so large language models could reliably understand, index, and reference it. We analyzed how ChatGPT was interpreting their current assets, identified structural gaps that made their content difficult for AI to surface, and created a clear set of editorial and technical guidelines for making every whitepaper, landing page, and product explanation “LLM-friendly.” We also built an internal workflow so their marketing team could apply these principles consistently as new content is produced. By aligning their messaging with how modern AI systems parse information, AMP Social dramatically increased its visibility during AI-driven research and vendor comparison.
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Our consulting approach centered on clarity, conciseness, and consistency. Large language models rely on pattern recognition, and companies with a clear and unified message across their digital footprint are far more likely to be accurately surfaced and referenced by AI systems like ChatGPT.
The Examples
Below are concrete examples of the changes Vyrtices recommended—written in the same tone as the solution:​​​​
Long-Form Content Restructuring​
We reorganized AMP Social’s training materials into semantically clear sections with descriptive headers. This new structure was easier for ChatGPT to read and dramatically improved the model’s ability to surface the right guidance when a user asked sales-strategy questions.
Unified Terminology for Social Selling
AMP Social uses highly specialized language (e.g. “intent funnels,” “signal-based selling,” “social selling systems,” “pipeline programs"). Across their assets, these terms were sometimes phrased differently. We standardized terminology so LLMs could reliably connect concepts across pages and avoid misclassifying similar ideas.
Long-Form Content Restructuring
Service pages were reformatted so each program clearly articulated the problem their buyers are experiencing, the way AMP addresses that problem, and the ROI clients can expect. LLMs respond strongly to this kind of explicit framing, which increased ChatGPT’s ability to recognize, quote, and accurately summarize AMP Social’s value proposition.
Framework Executive Summaries​
We introduced short anchor summaries at the top of each asset, clarifying the purpose—for example: “This framework teaches reps how to detect buyer intent on LinkedIn and convert it into a 5-step outbound motion.” These summaries help LLMs quickly understand context and increase the likelihood that ChatGPT will surface the asset in relevant conversations.
Metadata and Linking Optimization​
AMP Social’s site contains multiple pages describing social-selling outcomes, rep enablement, and outbound strategy. We improved metadata and built internal links across related concepts. These relationships give LLMs stronger signals about meaning and relevance, improving retrieval accuracy.
Structured Core Offerings Snippets​
For each core offering (such as their Sales Team Six, Social Selling System, and Intent Frameworks), we created short, structured blocks summarizing the offer in a predictable format: what it is, who it’s for, what it enables, and the measurable outcome. LLMs ingest these structured snippets similarly to FAQs making it far easier for ChatGPT to reference AMP Social’s programs directly.
The Feedback
“Completely game-changing. We really appreciated how Vyrtices dove deep into how AI tools intereact with our content. Highly recommend using their services."