# Cheetah

> Cheetah is a managed GTM engineering partner for B2B founders and lean teams. We build and run outbound and go-to-market engines using the sales tools a company already has, then install supervised agents that retain context across campaigns, accounts, and tools. The operating memory and assets remain owned by the client.

## What Cheetah does

- Designs, builds, and operates outbound and GTM systems.
- Orchestrates tools such as Clay, Instantly, Smartlead, HeyReach, HubSpot, Salesforce, LinkedIn, Exa, Apollo, and Prospeo.
- Installs supervised agents for research, campaign operations, reply routing, CRM updates, signal monitoring, and next-action recommendations.
- Maintains a private, company-owned GTM context layer so tools and models remain swappable.
- Trains client teams to understand and maintain the installed system without becoming AI engineers.

## Key pages

- [Cheetah homepage](https://becheetah.com/): Managed GTM engineering offer, operating model, ownership principles, and engagement process.
- [About Cheetah](https://becheetah.com/about/): How Fedor Kovalev and Mike Smith came to build Cheetah around company-owned operating knowledge.
- [GTM engineering](https://becheetah.com/gtm-engineering/): Cheetah's detailed view of AI-native GTM systems, signal-based outbound, and company-owned context.
- [Signal to pipeline](https://becheetah.com/use-cases/signal-to-pipeline/): A governed method for preserving signal evidence, resolving accounts, validating fit, approving action, and learning from outcomes.
- [GTM engineering agency](https://becheetah.com/gtm-engineering-agency/): What working with Cheetah as a managed GTM engineering agency involves: services, fit, the engagement process, pricing (GTM Brain Sprint from $3,500, cold email infrastructure setup from $2,500, managed outreach and campaign operation from $5,000 per month; software, data and sending costs billed separately or paid directly by the client) and a comparison with in-house hiring, freelancers and other agency models.
- [GTM Brain Sprint](https://becheetah.com/gtm-brain-sprint/): A scoped engagement for one governed revenue workflow, including fit, controls, ownership, and proposal boundaries.
- [Field Notes](https://becheetah.com/blog/): Operator-written articles about GTM engineering, outbound systems, campaign memory, and agent-assisted operations.
- [Systems Lab](https://becheetah.com/systems-lab/): Evidence-led GTM tool directory with verified API, MCP, pricing, setup, and lifecycle detail where the research supports it.
- [GTM skills catalogue](https://becheetah.com/systems-lab/skills/): Published agent skill libraries and individual skills, with source links, repository health, dependency and blast-radius notes, and reproduced bodies only where licensing permits.
- [Your AI agent is being sold to](https://becheetah.com/blog/agent-skills-sold-to/): A read of all 2,628 skills in 126 public GTM skill libraries, file by file: 1,646 only give instructions, 896 act without declaring it, 86 declare a bounded tool set, and 836 descriptions are written to win the model's attention. Two named libraries instruct the agent to pitch the vendor mid-task; two others ask before uploading a session.
- [7 best n8n alternatives for GTM teams in 2026](https://becheetah.com/blog/n8n-alternatives-for-gtm-teams/): Seven n8n alternatives compared on the two axes that decide go-to-market cost and fit — which layer of the stack each tool occupies, and what its meter charges for — with meter definitions quoted from vendor documentation.
- [Best GTM engineering agencies in 2026](https://becheetah.com/blog/best-gtm-engineering-agencies-2026/): A buyer-side study of 63 GTM engineering firms and 16 deep dossiers, comparing 90-day total cost, founder burden, infrastructure portability, public evidence quality and month-three learning, with a downloadable research workbook. Cheetah commissioned the study, is scored inside it, and discloses the conflict.
- [Signal stacking for outbound sales](https://becheetah.com/blog/signal-stacking-for-outbound-sales/): A practical guide to combining independent public observations into testable GTM intelligence, prototyping the idea in Clay or Deepline, and deepening only the sources that work.
- [Why positive outbound replies still get lost](https://becheetah.com/blog/positive-outbound-replies-get-lost/): A practical guide to reply routing, account identity, context assembly, ownership, human review, and retained campaign learning.
- [GTM engineer vs RevOps](https://becheetah.com/blog/gtm-engineer-vs-revops/): Why a year of job postings showed nine in ten GTM engineer duties also appear in RevOps engineer roles while vendors draw a boundary, why the published job counts measure postings rather than filled seats, what practitioners say about the title, and a disclosure that Cheetah is one of the agencies selling into the category.
- [Jev for GTM](https://becheetah.com/blog/jev-for-gtm/): Decision-model capabilities, thirteen proposed workflows and an 83-contact lead-scoring comparison against six named models, with methods and limitations.

## Agent navigation

- [Cheetah research skill](https://becheetah.com/.well-known/agent-skills/cheetah-research/SKILL.md): A read-only guide to finding and comparing Systems Lab research, checking source dates, and distinguishing skill-file inspection from execution evidence.
- [Agent skill discovery index](https://becheetah.com/.well-known/agent-skills/index.json): The navigation guide's metadata and exact-file digest.
- [Agentic resource discovery](https://becheetah.com/.well-known/ard.json): A manifest for the same original research guide, also available at the [compatible AI Catalog path](https://becheetah.com/.well-known/ai-catalog.json).

## Engagement

Cheetah begins with a diagnostic conversation about one revenue workflow. Any engagement scope, timing, access, and deliverables are agreed before work begins.

## Company and contact

- [Plan a GTM system](https://becheetah.com/#plan)
- [Cheetah on LinkedIn](https://www.linkedin.com/company/71347580)
- [Fedor Kovalev](https://www.linkedin.com/in/fedor-kovalev7)
- [Mike Smith](https://www.linkedin.com/in/mikesmith271828)
- Email: hello@becheetah.com