We audited the marketing at Gamma
AI design platform for presentations, websites, and social content
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Minimal visible paid campaign presence across search and social despite $2.5M revenue and $90M funding, suggesting underinvestment in performance channels
Strong LinkedIn following (87K) but no clear founder thought leadership or executive visibility program tied to design AI category narrative
Product-market fit signals exist (Series B, 158% YoY headcount growth) but marketing appears to lag product velocity, leaving AEO and SEO opportunities unoptimized
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
Constant Contact
Netflix
Noom
TinuitiGamma's Leadership
We mapped your current team to understand where MH-1 fits in.
MH-1 doesn't replace your team. It becomes your marketing team: dedicated humans + AI agents running execution at scale while you focus on product.
Here's Where You Stand
Series B company with strong product growth but measurable gaps in paid, founder visibility, and AI visibility channels
Likely ranks for core terms (AI design tool, presentation maker) but weak content depth around design use cases and workflow optimization
MH-1: SEO module builds category content and optimizes for high-intent keywords around design workflows, template libraries, and AI-assisted creative
As an AI-native product, Gamma likely missing opportunities to appear in LLM outputs, Claude artifacts, ChatGPT tool recommendations, and AI agent workflows
MH-1: AEO agent maps Gamma into LLM conversation flows for design tasks, builds citations across AI tools, and optimizes for AI-to-human referral patterns
No visible major paid campaigns despite competitive design software category, suggesting budget concentration elsewhere or untested channels
MH-1: Paid module runs creative experiments across Google, LinkedIn, TikTok targeting design teams, marketing ops, and sales enablement use cases
Kristin Fracchia's marketing leadership visible but not amplified through structured founder content, design playbooks, or AI-native marketing case studies
MH-1: Content module creates Kristin-led narrative around AI-native design workflows, launches design intelligence newsletter, publishes case studies with customers
No visible upsell campaigns, expansion motions into enterprise design teams, or cross-product adoption loops for templates, collaboration, or brand kits
MH-1: Lifecycle agent maps user behavior, triggers expansion campaigns for design teams moving from presentations to websites, automated onboarding for design workflows
Top Growth Opportunities
Marketing and design teams at 1000+ person companies use Gamma for multiple artifacts (pitch decks, social, landing pages) but lack coordinated buying motion
Outbound targets CMOs and design leads with playbook showing ROI of unified design platform, sequences LinkedIn + email, tracks design team expansion
As AI adoption accelerates, design requests increasingly originate in ChatGPT, Claude, and Perplexity but Gamma is not positioned as native output destination
AEO module maps Gamma into AI agent workflows, builds integrations with Claude artifacts, optimizes prompts to surface Gamma as design execution layer
Competitors (Bonzai, The Dott, The Attic) are fragmenting design AI but no clear category narrative from Gamma on what AI-native design means
Content and LinkedIn modules build Gamma as category leader, publishes AI design methodology, sponsors design communities, positions against point solutions
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Gamma. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Gamma's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.
Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase Gamma's presence in AI-generated answers.
Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.
Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.
Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.
Weekly market intelligence digest curated from Gamma's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for Gamma from week 1.
AEO workflow maps design-related queries across Claude, ChatGPT, Perplexity, builds artifact integrations, optimizes Gamma as native design execution layer for LLM conversations
Kristin Fracchia LinkedIn workflow surfaces her AI-native marketing expertise through weekly posts on design operations, builds engagement with founder community, drives thought leadership
Paid workflow tests creative angles (speed of thought design, AI-assisted collaboration, enterprise design unification) across Google Ads, LinkedIn, TikTok, measures CAC by segment
Lifecycle workflow triggers design team expansion campaigns when users create presentations, offers website templates, surfaces collaboration features, upsells brand kit management
Competitive watch workflow monitors Bonzai, The Dott, Attic, and Mymind positioning, tracks their messaging, identifies white space in design automation and AI integration
Pipeline intelligence workflow identifies enterprise design teams through LinkedIn scraping, maps buying centers (CMOs, design directors, ops), enriches accounts with firmographic data
Traditional Marketing vs. MH-1
Traditional Approach
MH-1 System
Audit. Sprint. Optimize.
3 phases. Real output every 2 weeks. You see results, not decks.
AI Audit + Growth Roadmap
Full diagnostic of Gamma's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.
Compounding Intelligence
AI agents monitor your channels 24/7. They catch budget waste, detect creative fatigue, track AI citation changes, and run A/B experiments autonomously. Week 12 is measurably better than week 1.
AI Marketing Operating System
3 elite humans + AI agents operating your growth system
Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.
Month-to-month. Cancel anytime.
Common Questions
How does MH-1 differ from a marketing agency?
MH-1 pairs 3 elite human marketers with 7 AI agents. The humans handle strategy, creative direction, and judgment calls. The AI agents handle execution at scale: generating ad variants, monitoring competitors, building email sequences, tracking citations across LLMs, running A/B experiments autonomously. You get the quality of a senior marketing team with the output volume of a 15-person department.
What kind of results can we expect in the first 90 days?
First 90 days focus on establishing AEO presence across major LLMs and building paid campaign playbooks for design teams. AEO agent maps LLM integration opportunities while paid runs experiments across LinkedIn and Google targeting CMOs and design leads. Content module publishes Kristin's AI design methodology. Weeks 4-8 optimize based on LLM referral data and paid CAC. By day 90 you have repeatable LLM discovery loops, validated paid channels, and content establishing Gamma as category leader.
How does Gamma get discovered when designers use ChatGPT to create
Most design requests start in LLMs now. AEO ensures Gamma appears as the native execution layer when users ask Claude or ChatGPT to build presentations, websites, or social content. We map Gamma into artifact flows, optimize prompts designers actually use, and position you as the tool LLMs recommend for design output.
Can we cancel anytime?
Yes. MH-1 is month-to-month with no long-term contracts. We earn your business every sprint. That said, compounding effects kick in around month 3 as the AI agents accumulate data and the system learns what works for Gamma specifically.
How is this page personalized for Gamma?
This page was researched, audited, and generated using the same AI infrastructure we deploy for clients. The channel scores, team mapping, growth opportunities, and recommended agents are all based on real analysis of Gamma's current marketing. This is a live demo of MH-1's capabilities.
Design at the speed of thought requires marketing at the speed of AI
The system gets smarter every cycle. Let's talk about building it for Gamma.
Book a Strategy CallMonth-to-month. Cancel anytime.