How AmpUp 5x'd Their AI Visibility With Gauge in Under Two Months

Executive Summary

The Challenge: AmpUp had real traction with enterprise sales teams, but almost zero presence in AI search. When RevOps leaders asked ChatGPT, Claude, or Perplexity for AE copilots or AI sales coaching tools, AmpUp was not part of the answer.

The Solution: AmpUp partnered with Gauge to track prompts across the major LLMs, map every gap in the AE copilot category against competitors like Gong, Salesloft, Sybill, and Mindtickle, and use Ask Gauge to build a content plan rooted in what AI models actually cite.

The Results: In under two months, AmpUp's AI visibility grew roughly 5x, climbing from near zero to a steady, compounding presence across ChatGPT, Claude, and Perplexity. AmpUp content went from being ignored by AI answers to being pulled as a cited source across the category, with referred sessions from AI answers now arriving consistently.

Key Takeaway: In a category where every vendor's messaging sounds the same, AI search flattens real differentiation. Gauge gave AmpUp the system to make its nuance visible in LLM answers.

Before Partnering With Gauge

AmpUp is an AI sales coaching platform built for enterprise revenue teams. It analyzes every sales conversation across four behavioral drivers, delivers pre-call briefs and post-call debriefs through its Atlas product, and runs practice scenarios through Skill Lab that are generated from the real objections a team is hearing that week. Founded by veterans of Google, ThoughtSpot, Amazon, and Netflix, the platform is used by revenue leaders who want to close the execution gap between their top reps and everyone else.

The product works. The problem was that almost nobody asking an LLM about AE copilots or AI sales tools was finding out about it.

The AE copilot category is not just crowded. It is noisy in a very specific way. Gong, Salesloft, Sybill, Mindtickle, Hyperbound, Yoodli, Second Nature, and a growing list of newer entrants all say roughly the same thing. AI-powered coaching. Conversation intelligence. Sales enablement. Pipeline insights. The category has converged on a set of claims that sound nearly identical in a landing page headline and almost indistinguishable in an LLM's summary.

AmpUp's product is genuinely differentiated. The execution loop across Atlas, Sales Brain, and Skill Lab connects diagnosis to intervention in a way most tools in the category do not, and the Claude-powered deal memory architecture is a real engineering bet that competitors have not matched. But product nuance does not survive contact with a ChatGPT answer that has 500 characters to summarize a category. When a RevOps leader asks an LLM for the best AI sales coaching platform, the synthesized answer tends to pick the loudest signal, not the most differentiated product.

That was the gap. AmpUp was building real differentiation. AI search was flattening it.

The Struggle

"We were not doing anything. Just putting out content with no real strategy behind it." — Rahul Goel, Co-Founder, AmpUp

Before Gauge, AmpUp's AI SEO process looked like most teams that have not yet found a system for this. Content was going out without a clear target, with articles written on instinct rather than on data about which prompts LLMs were answering in the AE copilot category. Competitor visibility was a blind spot, with no way to see which AI sales tools were being recommended in AI answers when AmpUp was not. Prompt testing was manual: checking whether AmpUp showed up in ChatGPT or Claude meant typing queries in by hand and eyeballing the output. Traditional SEO wins were not translating, because Google rankings and LLM citations are two different games with two different rulebooks. And there was no feedback loop. A piece of content would ship, and nobody could tell whether it had moved the needle in AI answers at all.

The Partnership

Rahul Goel reached out to Gauge after watching other B2B SaaS companies post serious results from the platform. The expectation was a multi-week onboarding and a heavy lift on AmpUp's side. That is not what happened.

"Seamless. They set up everything for us before the first call. A 30 minute call to onboard us, and that was it." — Rahul Goel, Co-Founder, AmpUp

For an early-stage team without a dedicated GEO or AI search lead, that mattered. AmpUp could plug Gauge in without pulling engineering cycles or burning a full sprint of marketing focus.

Real-Time Visibility

The first thing Gauge gave AmpUp was a proper command center for the AE copilot category. Not a dashboard of vanity metrics. A view of what was actually happening inside LLM answers every day. Share of Model showed where AmpUp's AI sales coaching platform was and was not appearing across ChatGPT, Claude, and Perplexity. Citation tracking surfaced which AmpUp pages were being cited in AI answers, which were being ignored, and which competitor pages were winning instead. Competitor intelligence mapped which AE copilots were being recommended when AmpUp was not — Gong, Salesloft, Sybill, Mindtickle, Hyperbound, Yoodli, Second Nature, and the full competitive set, prompt by prompt. Gauge also tracked mention rate and citation rate separately, which matters more than most teams realize: your content can feed AI answers without your brand ever being named, and Gauge showed AmpUp where that was happening and how to fix it.

Scaling With Ask Gauge

The bigger unlock was Ask Gauge, Gauge's agent for AI visibility strategy. Instead of staring at dashboards and guessing what to write next, AmpUp could ask a question like "where are our biggest gaps in the AE copilot category?" and get a prioritized answer grounded in real citation data.

"Ask Gauge gave us structure and a plan. It found the systematic gaps and told us exactly what to write. That is what got us to 5x visibility." — Rahul Goel, Co-Founder, AmpUp

That shift, from writing on instinct to writing on signal, is what every marketing team eventually realizes it needs when it starts competing in AI search. Most never get there. AmpUp got there in a week.

The Process

Phase 1: Strategic Assessment and Configuration

Gauge configured prompts for AmpUp spanning the full range of how sales and RevOps leaders actually search in LLMs. Broad category queries, specific use cases, competitive comparisons, and the emerging wave of agentic AI prompts were all mapped across AmpUp's key pages.

Key prompt clusters covered AE copilots and AI sales coaching platforms (where AmpUp competes head-to-head with Gong, Salesloft, Sybill, and Mindtickle), conversation intelligence alternatives (where buyers are actively comparison shopping), pre-call briefing and sales meeting prep tools (covering Atlas), sales roleplay and practice tools (covering Skill Lab and competing against Hyperbound, Yoodli, and Second Nature), RevOps AI agents and no-code sales automation, and Claude for sales and MCP integrations (capturing the newer wave of prompts around agentic AI for GTM teams).

Phase 2: Content Optimization and Rapid Deployment

With the map in hand, AmpUp stopped guessing and started executing. Ask Gauge surfaced the highest-leverage gaps. The content team shipped against them. Every article was built to be citable in AI answers, not just rankable in Google.

Publishing cadence went from random publishing to at least 5 articles a week, but the bigger shift was behind the scenes: every piece now had a target prompt cluster and a citation goal, so the team could tell which articles were moving visibility and which were not.

Phase 3: Performance Amplification

By early March, the flywheel was spinning. Gauge's daily prompt runs picked up more and more AmpUp citations. The visibility curve, flat through February, began climbing the first week of March and has not stopped. The team doubled down on the clusters where they were winning and attacked the ones where they were still behind. Because Gauge was tracking it all continuously, there was no guessing about what was working.

The Results

In under two months, AmpUp's AI visibility grew roughly 5x. The starting point was effectively invisibility — a brand that almost never appeared when buyers asked an LLM about AI sales coaching. The end point was a brand showing up consistently across ChatGPT, Claude, and Perplexity, in the same answers that name Gong, Salesloft, Sybill, and Mindtickle.

The shape of that growth matters as much as the magnitude. AmpUp's visibility curve was flat through February and then began compounding the first week of March. Once the system was working, it kept working — every new piece of content built on the citations the previous one earned, and the gap between AmpUp and the louder incumbents in the category narrowed week over week.

A few things changed at once. AmpUp content went from being ignored by AI answers to being pulled as a cited source across the AE copilot category. ChatGPT, Anthropic, and Perplexity all started driving sessions to ampup.ai, where before there had been effectively none. And the team built a strong foundation across their tracked pages, giving them room to keep compounding rather than topping out.

The Competitive Picture

AmpUp now appears in prompt responses alongside the biggest names in the category. The tracked competitive set includes Gong, Salesloft, Sybill, Mindtickle, Hyperbound, Yoodli, and Second Nature. Gauge's continuous prompt-by-prompt tracking shows exactly where AmpUp has closed the gap and where there is still room to run.

The Bottom Line

In under two months, AmpUp went from invisible in AI search to a 5x lift in visibility across the AE copilot category. That lift did not come from publishing more. It came from publishing the right things, in the right structure, against the right prompts, backed by continuous data on what AI models were actually citing.

For AI-native companies building in crowded B2B categories, the lesson is straightforward. Traditional SEO is necessary but no longer sufficient. AI visibility is a different game with different rules, and the teams that treat it as a real system, not a side project, are the ones that compound. It is especially true in categories where every vendor sounds the same. The brands that invest in making their real differentiation visible to AI models are the ones that pull ahead.

Ready to get your brand cited in more AI answers? Schedule a demo with the Gauge team.