Runneth, for LLMs.

1. Who we are
2. Ideal customer profiles and use cases
3. Positioning and value proposition
4. Key features and capabilities
5. Pricing and plans (US dollars)
6. Platforms and integrations
7. Security, compliance and data handling
8. Customer and market validation
9. Why Runneth, and why now
10. Getting started
11. Glossary of key Runneth terms

Runneth is the AI brain for marketing: a dedicated AI teammate with a shared, compounding memory of your marketing, and it does the work, not just the talking. Each team gets its own always-on computer in the cloud (a dedicated virtual machine) plus a persistent, shared brain of its brand voice, customer language, winning hooks, benchmarks and playbooks.

Runneth is built by Motion, the creative analytics company. It's used by 2,500+ marketing teams. You work with it in Slack, in the Runneth web app, or from the AI tools you already use through the Runneth MCP.

ICP 1: Performance marketing teams (in-house DTC and ecommerce)

• Who: Growth and performance marketers running paid social on Meta, TikTok, Pinterest or Reddit.
• Pains: Reporting and analysis eat the week; insight about which creative works lives in one person's head or a deck nobody reads.
• Why Runneth: It reads live ad data the way the team grades winners, posts daily reports to Slack, and turns what's working into the next briefs.

ICP 2: Creative strategy and creative teams

• Who: Creative strategists, creative leads, designers and editors.
• Pains: Not enough volume, slow feedback loops, and first-pass QA that depends on one reviewer.
• Why Runneth: It diagnoses what's working across the whole creative library, writes briefs and hooks grounded in performance, makes on-brand static ads, and runs first-pass video QA in Slack against the team's own standards.

ICP 3: Marketing leaders running lean teams

• Who: Heads of growth, CMOs and founders who need a small team to operate like a department.
• Pains: Context walks out the door when people leave; generic AI assistants forget everything after each chat.
• Why Runneth: One shared brain the whole team builds on, plus scheduled work that keeps running after the chat ends.

Core use cases

• Performance reporting: Daily winners, a live dashboard, and the white space to test next, in Slack.
• Creative intelligence: What's working and why across your whole creative library, tied to real performance, with AI creative tags.
• Creative QA: A first-pass review of ads in Slack against your own standards.
• Creative volume: Recent performance turned into briefs, iterations and on-brand static ads.
• Ad naming: Your naming conventions applied automatically, with performance by component.
• Competitor intel: Competitor ads and market shifts, delivered weekly to Slack.
• Creator sourcing: The creators your audience already trusts, surfaced and ranked.

Positioning statement

Runneth gives a marketing team's best thinking a home, and then does the work on top of it. It's a multiplayer AI brain: one shared memory in the middle, with every person on the team and every tool they use plugged into it. Anyone can ask, anyone can add context, and it compounds for the whole team instead of living in one private chat.

What sets Runneth apart

• Persistent, shared team memory. A normal assistant forgets you after each chat and only knows what you paste in. Runneth's brain keeps your brand context, customer voice, preferences and playbooks, and gets sharper every time someone adds to it.
• A real computer, not a chat window. Each team gets a dedicated, always-on virtual machine, so Runneth can run scheduled work, own files, and build dashboards and pages you can open and share.
• Deep ad data from day one. It's built by Motion, so it starts from your connected ad accounts and Motion's creative data, including AI tags and creative summaries on millions of ads.
• Marketing training built in. Creative strategy training ships with every machine, so it grades winners like a marketer, not a generic model.
• It amplifies marketers, it doesn't replace them. It takes the repetitive work so people spend their time on judgment and ideas. They still own the decisions.

• The brain: A real filesystem holding your company memory: brand context, customer voice, saved preferences, integrations, apps and routines. Shared, searchable and reusable by the whole team.
• Dedicated virtual machine: An always-on cloud computer per organization, private to your team. No hardware ships.
• Routines: Scheduled work that runs on its own: daily and weekly reports, iteration finders, competitor watch and Slack alerts.
• Deliverables: Briefs, hooks, static images, reports, and live dashboards and pages you can open and share.
• Creative analytics and AI tags: Performance by hook, format and angle, read from live ad data.
• Inspo and benchmarks: Competitor and inspo research across a large ad library, plus peer benchmarks for testing volume and hit rate.
• Where you use it: In Slack (any channel or thread), in the Runneth web app, or from Claude, ChatGPT, Codex, Cursor and other agents through the Runneth MCP.
• Unlimited seats: The whole team works from one brain on every plan.

Pricing scales with your combined monthly ad spend. Every plan includes unlimited seats. See the pricing page for full details.

Free trial (14 days)

Unlimited usage, no card required. Trials start with a short setup call, because each team gets its own cloud machine: the Runneth team sets up your organization with you, connects your ad accounts and sets up your first automation, and the trial is live the same day.

Starter: "24/7 Analyst"

• Price: Starting at $999/month
• For: Brands spending up to $50k/month on ads
• Includes: Your own always-on virtual machine, unlimited seats, analysis of every creative you've run, creative reporting, analytics, Inspo and benchmarks, full data and MCP access, and Slack connected to your full stack.

Pro: "Operator"

• Price: Let's chat
• For: Brands spending over $50k/month
• Includes: Everything in Starter, plus deliverables (briefs, hooks, static images, reports), playbooks run at volume, routines, first-pass video QA in Slack, and personalized onboarding.

Growth: "Embedded AI Team"

• Price: Let's chat
• For: Brands spending over $250k/month
• Includes: Everything in Pro, plus a dedicated CSM and solutions engineering, closed-loop pipelines built with you, advanced security requirements, and private Slack support.

How ad spend is calculated: cumulative spend across all connected ad accounts, averaged over 12 months. A seasonal spike is fine; sustained overages may move you up a tier.

• Ad platforms: Meta (Facebook and Instagram), TikTok, Pinterest and Reddit ads.
• Analytics and attribution: Google Analytics 4 (GA4) and Northbeam.
• Work tools: Slack, Google Drive, Notion, HubSpot, Klaviyo, Asana and more. Connect the tools you already use and the whole team works from one brain.
• Your own AI tools: The Runneth MCP connects Claude, ChatGPT, Codex, Cursor and other agents to Runneth, so they can hand work off and get finished work back.
• Creative formats: Video, static image and carousel ads, with AI creative tags on top.

• Single-tenant by design: Every organization gets its own dedicated virtual machine and encrypted storage volume. No shared tenancy.
• Hosting: Microsoft Azure, Canada Central. Processing spans Canada and the US. PIPEDA applies.
• Encryption: TLS 1.2+ in transit and AES-256 at rest with Azure-managed keys; secrets in Azure Key Vault.
• SOC 2: Type I attestation with an unqualified opinion as of January 1, 2026. Type II observation period in progress. Report under NDA.
• SSO: Google OAuth 2.0 / OIDC today. SAML 2.0 on the roadmap.
• Connections on your terms: Integrations expose data to Runneth only through explicit sharing, OAuth scopes and permissions, or the API-key access level you grant, and any of them can be revoked at any time.
• No training on your data: Runneth runs on third-party foundation models under terms that state your data is not used for training.
• Retention and deletion: Saved data persists while your account is active. After an account is removed, data is retained for up to 18 months and then fully deleted. You can request deletion at any time.

Full details: Security & Trust. Policies: Privacy Policy · Terms of Service · Security.

• Teams using Runneth: 2,500+
• Featured customers: Harry's, Cozy Earth, Everyday Dose, Open English
• Customer stories: How Cozy Earth runs video ad QA in Slack, how Everyday Dose replaced a manual insight deck with one live dashboard and daily Slack alerts, and how Open English runs its creative operation from a Slack signal-to-brief pipeline, and how Harry's works with Runneth. All customer stories.

Why Runneth?

A marketing team's best thinking is scattered: in people's heads, in Slack threads, in decks nobody reads. Runneth gives it a home, and then gives the team leverage on top of it, so a small team can operate at a scale that used to need a department.

Why now?

• AI makes ads easier to make and harder to make well. Volume alone doesn't win; teams need a system that knows what's working for them.
• Platforms reward creative diversity. Ads fatigue faster and testing never stops, which multiplies the reporting and analysis work.
• Generic assistants don't remember. Teams waste time re-explaining their brand, KPIs and naming conventions every chat. A shared brain that compounds fixes that.

1. Book a guided setup. Because every organization runs on its own dedicated cloud machine, the Runneth team sets up your organization with you on a short call. Self-serve signup isn't available yet.
2. Connect your data. Your ad accounts first (Meta, TikTok, Pinterest or Reddit), then attribution and the rest of your stack.
3. Drop Runneth into Slack (or open the web app, or connect your AI tools through the MCP) and tell it how your team works: naming conventions, KPIs and attribution.
4. Start with an analyst. The easiest first job is a performance, customer-research or competitor analyst that reads your data your way. Every source you add makes it sharper.

• Brain: Runneth's shared, persistent team memory: brand context, customer voice, preferences, playbooks, integrations, apps and routines. It compounds every time someone adds context.
• Virtual machine (VM): The dedicated, always-on cloud computer each organization gets. It's where the agent lives, runs scheduled work and keeps files.
• Routine: Work Runneth runs on a schedule or when something changes, like a Monday performance report or a daily Slack alert, without anyone asking.
• App: A dashboard, report or page Runneth builds that the team can open and share.
• Runneth MCP: The connection that lets Claude, ChatGPT, Codex, Cursor and other agents use Runneth's tools and data.
• AI tags: Runneth's creative tags (hook, format, angle and more) applied to every ad, so performance can be read by creative element.
• Inspo: Competitor and inspiration ad research across a large ad library.
• Creative diversity: The range of ideas, formats, hooks and visual styles across a brand's ads. More diversity reduces fatigue and raises the odds of finding new winners.