We audited the marketing at Conversion
AI marketing OS for B2B teams using Salesforce and customer data
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Post-Series A (July 2025) with 46 people, Conversion is in critical phase to prove unit economics and expand GTM beyond early adopters like Clay and HockeyStack.
23K LinkedIn followers suggests some thought leadership, but MarOps/Demand Gen audiences expect deeper content on lifecycle orchestration and revenue measurement workflows.
Limited visibility into AEO strategy despite being an AI-native platform, missing opportunity to rank for MarOps AI queries and demonstrate their own product in action.
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TinuitiConversion'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
Early-stage platform with emerging content presence but underutilized AI visibility and lifecycle expansion channels for B2B SaaS market.
Likely ranking for core terms like 'marketing automation CRM sync' but unclear if capturing high-intent segments like MarOps, data unification, and no-code orchestration.
MH-1: SEO agent expands keyword footprint across MarOps job functions, warehouse sync use cases, and revenue measurement keywords targeting demand gen teams.
No visible AEO strategy despite AI-native positioning. Missing Claude/ChatGPT queries about 'how to unify Salesforce data' and 'real-time segmentation for lifecycle'.
MH-1: AEO agent optimizes for LLM queries on CRM data strategy and builds AI-native content showing Conversion solving MarOps problems in AI workflows.
No visible LinkedIn or Google Ads targeting MarOps, demand gen, or revenue ops personas at companies with Salesforce deployments and scaling challenges.
MH-1: Paid agent runs LinkedIn conversion campaigns targeting MarOps/GTM leaders and Google search for high-intent Salesforce + marketing automation combinations.
23K LinkedIn followers indicate some content presence, but no visible deep-dive content on lifecycle orchestration, pipeline measurement, or MarOps maturity frameworks.
MH-1: Content agent produces weekly MarOps research, case studies on moving from email pushes to connected systems, and segmentation strategy guides for demand gen.
As a platform enabling lifecycle automation, no visible expansion motion to existing customers toward higher-value workflows like pipeline orchestration and revenue measurement.
MH-1: Lifecycle agent personalizes onboarding sequences around warehouse sync and multi-channel orchestration, then nurtures toward advanced revenue measurement features.
Top Growth Opportunities
Series A timing creates window to position Conversion as AI platform for MarOps teams automating lifecycle at scale. Competitors are not yet owning this.
AEO and content agents build authority around 'AI-native marketing operations' and 'autonomous MarOps workflows,' seeding across LLMs and demand gen content.
Existing customers running Salesforce sync can graduate to pipeline intelligence and revenue measurement workflows, multiplying contract value and retention.
Lifecycle agent detects customers with mature data foundations, then triggers personalized outreach and webinars on 'from MarOps to revenue ops' workflows.
High-intent keywords around CRM consolidation, warehouse sync, and segmentation have low competitive density. Conversion should own this segment early.
SEO agent targets long-tail keywords on Salesforce unification, real-time segmentation use cases, and no-code orchestration, building organic funnel fast.
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Conversion. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Conversion'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 Conversion'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 Conversion'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 Conversion from week 1.
AEO workflow monitors Claude and ChatGPT queries on MarOps, Salesforce data strategy, and lifecycle automation. Generates content optimized for LLM retrieval, positioning Conversion as the answer to data unification problems.
Neil and Josh publish weekly LinkedIn posts on MarOps trends, customer data unification lessons, and autonomous experiment frameworks. MH-1 cadences content and routes engagement to sales.
Paid agent runs LinkedIn conversion campaigns targeting MarOps and GTM leaders at Series B-C companies, plus Google search ads on 'Salesforce marketing automation' and 'real-time segmentation' with landing pages showing Conversion's integration depth.
Lifecycle agent segments customers by feature adoption (CRM sync, warehouse sync, orchestration), then triggers personalized nurture around next-stage workflows like revenue measurement and pipeline intelligence.
Monitoring agent tracks competitor content, positioning shifts, and customer use cases from Clay, HockeyStack, Abacum, and 11x. Feeds insights into content and outbound strategy.
Pipeline intelligence agent maps customer health by CRM data quality, feature depth, and expansion readiness, enabling sales team to prioritize upsell targets and validate product-market fit signals.
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 Conversion'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 30 days map customer segmentation, identify expansion motion opportunities, and audit SEO/AEO coverage gaps. Days 30-60 launch AEO content strategy targeting MarOps LLM queries, plus LinkedIn lifecycle nurture for existing customers. Days 60-90 scale paid acquisition on high-intent keywords and run first revenue measurement case study campaign.
How does AEO help a B2B data platform like Conversion reach MarOps buyers.
MarOps teams research solutions using LLMs, asking 'how do I unify Salesforce with my data warehouse' or 'build real-time segments for lifecycle campaigns.' AEO optimizes Conversion's content and positioning to appear in those LLM responses, establishing authority before paid search or sales outreach.
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 Conversion specifically.
How is this page personalized for Conversion?
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 Conversion's current marketing. This is a live demo of MH-1's capabilities.
Unify your customer data and scale MarOps with autonomous experimentation
The system gets smarter every cycle. Let's talk about building it for Conversion.
Book a Strategy CallMonth-to-month. Cancel anytime.