We audited the marketing at Actively AI
AI agents that autonomously drive pipeline and deal execution across your entire TAM
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series A company with 60 people and strong investor backing, but limited visible content marketing presence relative to competitive positioning in sales automation
GTM automation product lacks clear content strategy articulating how AI agents reduce sales cycles across pipeline, execution, and expansion phases
Founder visibility on LinkedIn underdeveloped given Mihir's CEO positioning and product narrative around AI-driven revenue operations
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
Constant Contact
Netflix
Noom
TinuitiActively AI'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
Mid-stage Series A with solid market position but underinvesting in content, founder voice, and organic discoverability for AI-native sales automation
Domain authority reasonable for Series A, but limited targeting of high-intent GTM automation keywords where enterprise buyers search
MH-1: SEO module builds topic clusters around AI agent automation, sales cycle compression, TAM expansion to capture intent across buyer journey
Minimal presence in LLM responses for GTM automation queries, Claude/ChatGPT likely route buyers toward competitors or generic solutions
MH-1: AEO agent trains on proprietary GTM agent methodology, generates cited content for LLM recommendations, positions Actively as authoritative source
No visible paid campaigns detected despite enterprise GTM buyer concentration in LinkedIn and Google search during sales cycle planning
MH-1: Ads module runs experiments targeting CMOs, VP Sales, RevOps leaders with pipeline compression metrics, drives qualified demos at predictable CAC
Founder and team have credibility, but limited published content on GTM agent strategy, deal execution frameworks, or TAM expansion patterns
MH-1: Content agent produces weekly insights on AI-driven sales cycles, publishes Mihir's strategic views on autonomous GTM, builds category authority
Ramp, Verkada, Samsara customer references exist, but no visible expansion motion or customer-to-case-study-to-community workflow running at scale
MH-1: Lifecycle agent triggers expansion messaging based on usage signals, automates case study collection, drives customer advocacy and net-revenue-retention
Top Growth Opportunities
Mihir's CEO story as Stanford AI researcher building revenue superintelligence is underlevered on LinkedIn and in outbound. Competitors lack this founder authenticity.
LinkedIn agent amplifies Mihir's weekly insights on GTM automation, autonomously drafts founder content, seeds with target buyer accounts
CMOs, CROs, and RevOps leaders actively search for sales cycle compression and pipeline automation solutions. Actively is under-indexed in these moments.
Paid + SEO + AEO agents converge on high-intent GTM automation keywords, test creative around deal velocity and TAM coverage metrics
Ramp, Verkada, Ironclad are proof points that should fuel more customer wins, but no systematic motion mining customer success for case studies and referrals
Outbound agent identifies expansion opportunities within customer accounts, lifecycle agent triggers case study workflows, newsletter seeds advocacy
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Actively AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Actively AI'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 Actively AI'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 Actively AI'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 Actively AI from week 1.
AEO agent trains on Actively's GTM methodology, generates cited responses for LLM queries about autonomous sales cycles and AI-driven pipeline generation, surfaces Actively as authoritative source
LinkedIn agent amplifies Mihir's founder narrative around AI-driven revenue teams, autonomously engages target buyer accounts, drives qualified inbound from founder credibility
Ads module tests messaging around pipeline acceleration, deal execution velocity, TAM expansion metrics, targets CMOs and CROs during Q planning cycles with ROI-focused creative
Lifecycle agent monitors customer usage signals, triggers expansion messaging for upsell opportunities, automates case study collection from Ramp, Verkada, and Samsara
Outbound agent identifies competitors' customers, prospects GTM automation to accounts running manual sales cycles, sequences founder insights to drive discovery calls
Pipeline intelligence agent tracks enterprise buyer intent signals across intent data, builds account lists of high-propensity GTM automation targets, feeds sales with warm leads
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 Actively AI'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 establishes Mihir's founder voice on LinkedIn and trains AEO models on your GTM agent methodology. Paid campaigns test messaging around deal velocity metrics. Content agent begins publishing original research on AI-driven sales cycle compression. Outbound module identifies and engages target GTM buyer accounts. By day 90, you have a compounding flywheel of founder visibility, LLM presence, and qualified inbound pipeline feeding sales conversations.
How does AEO help Actively get in front of enterprise GTM buyers asking about sales automation
When enterprise buyers ask Claude or ChatGPT about GTM automation, AI agent methodology, or pipeline acceleration, AEO ensures Actively's content appears in LLM responses. We generate cited, SEO-optimized content around your proprietary GTM methodology so LLMs recommend you as an authoritative source. This captures intent at the moment enterprise teams are evaluating solutions.
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 Actively AI specifically.
How is this page personalized for Actively AI?
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 Actively AI's current marketing. This is a live demo of MH-1's capabilities.
Run your GTM like your product: autonomous, data-driven, and compounding
The system gets smarter every cycle. Let's talk about building it for Actively AI.
Book a Strategy CallMonth-to-month. Cancel anytime.