Client Results

From invisible
to recommended.

Real results from real sprints. Every engagement below started with a brand that wasn't appearing in AI recommendations — and ended with category visibility that moves pipeline.

4.1×
Avg. AI mention rate increase
38d
Median time to category rank
100%
Clients with measurable lift
4
Platforms optimized per sprint
Case Study 01 B2B SaaS

Project management SaaS goes from zero AI presence to #1 in category in 38 days

A project management platform serving remote engineering teams had strong Google rankings but zero AI visibility — it was not mentioned in ChatGPT, Claude, Perplexity, or Gemini when buyers searched for tools in its category. Competitors with inferior products were consistently recommended first. Their pipeline from AI-driven searches was effectively zero.

What we did

  • Ran baseline audit across 200 category queries — confirmed 0% mention rate across all four platforms
  • Built 14 high-authority citation placements in engineering and PM-focused publications
  • Created answer-layer FAQ and comparison content targeting the top 40 AI-asked queries in the category
  • Implemented llms.txt, Schema.org structured data, and Perplexity-specific citation infrastructure
  • Resolved entity ambiguity with a competing product using the same abbreviation
AI Visibility Score
8/100 → 87/100 +79 pts
ChatGPT Mention Rate
4% → 71% +67pp
Perplexity Category Rank
Not ranked → #1
AI-referred demo requests
~0/mo → 34/mo
Sprint duration: 38 days
Our competitors had worse products but better AI presence. Peakmention flipped that in five weeks. ChatGPT now recommends us first in nearly every category query we track.
Head of Growth
B2B Project Management SaaS
Case Study 02 Professional Services

Boutique HR consulting firm captures AI share-of-voice from market leaders

A boutique HR consulting firm specializing in distributed team hiring was being completely overshadowed in AI recommendations by large generalist firms — despite having a tighter, more relevant offering for their target market (Series A–C startups). When buyers asked AI platforms for HR consultants for remote hiring, the firm never appeared. Their brand was essentially invisible to the buyers most likely to hire them.

What we did

  • Repositioned entity definition to "remote hiring specialist" — a sub-category with much lower AI competition
  • Placed 9 citations in startup-facing HR and people operations publications
  • Built a comparison content layer targeting "alternatives to [large generalist firms] for startups" queries
  • Implemented structured data and knowledge panel optimization to reinforce entity clarity
AI Visibility Score
12/100 → 74/100 +62 pts
AI Mention Rate (target queries)
6% → 58% +52pp
Gemini Category Rank
Not ranked → #2
Inbound leads (AI-sourced)
0/mo → 11/mo
Sprint duration: 42 days
Case Study 03 Fintech

B2B payments fintech achieves top-3 AI placement across all four major platforms simultaneously

A B2B payments infrastructure company had strong brand awareness within their existing customer base but was nearly absent from AI-generated recommendations for new buyers evaluating the space. Their main competitor was consistently recommended first on ChatGPT and Claude despite offering a narrower product. The client needed cross-platform dominance — not just presence on one or two AI platforms.

What we did

  • Ran platform-specific gap analysis — identified distinct citation sources driving competitor advantage on Claude vs. ChatGPT
  • Built 18 authority placements across fintech media, developer publications, and B2B SaaS review platforms
  • Created platform-differentiated content: developer-focused assets for Claude/Perplexity, buyer-focused for ChatGPT/Gemini
  • Implemented llms.txt with API documentation and integration guides marked as high-priority for AI ingestion
  • Structured a product comparison hub targeting 60+ "payments API vs." queries across buyer stages
AI Visibility Score
21/100 → 91/100 +70 pts
Cross-platform mention rate
18% → 84% +66pp
Category rank (all 4 platforms)
Unranked → Top 3
AI share-of-voice vs. main competitor
1:4 → 1.2:1
Sprint duration: 45 days
We were losing deals to a competitor that was objectively slower and more expensive — just because buyers found them first on ChatGPT. After the sprint we flipped the script completely. We now lead on every platform we track.
VP Marketing
B2B Payments Infrastructure
Case Study 04 E-commerce SaaS

E-commerce analytics platform builds AI category leadership before a major competitor rebrands

An e-commerce analytics platform was in a race against time. A well-funded competitor was undergoing a rebranding and investing heavily in content. The client needed to establish AI visibility dominance in their category before the competitor's rebrand pushed them off the recommendation shortlist entirely. Speed was the primary constraint — they needed category leadership within 45 days, not months.

What we did

  • Prioritized high-velocity authority placements — focused on sources with rapid RAG ingestion cycles
  • Built real-time Perplexity visibility through 11 current-events-style editorial placements in e-commerce media
  • Pre-published answer-layer content targeting the competitor's rebrand queries before their new content indexed
  • Deployed full llms.txt and structured data stack in week one to maximize crawl speed
AI Visibility Score
31/100 → 88/100 +57 pts
Perplexity mention rate
22% → 79% +57pp
Days to #1 on Perplexity
31 days
Competitor outranked on
3 / 4 platforms
Sprint duration: 41 days
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