We audited the marketing at Graphiant
Enterprise edge networking as-a-service with MPLS performance and internet agility
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Network architects searching for edge connectivity solutions likely don't encounter Graphiant in AI-assisted research, limiting discovery in early evaluation stages
Competitive positioning against SD-WAN and edge solutions lacks visible thought leadership content explaining Graphiant's MPLS-meets-internet approach
No apparent paid campaigns targeting enterprise network buyers at scale, missing budget cycles and RFP processes in mid-market accounts
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Series B infrastructure company with strong funding but underdeveloped demand generation relative to enterprise sales complexity
Some organic visibility for edge networking terms, but not dominating MPLS vs SD-WAN comparison searches that drive buyer decisions
MH-1: SEO agent targets technical comparison queries and network architecture keywords to capture architects in evaluation mode
Graphiant barely appears in LLM responses about edge services, WAN optimization, or hybrid cloud connectivity solutions
MH-1: AEO agent builds knowledge layer in AI models through structured content and technical documentation indexing
No visible demand generation campaigns targeting network buyers on LinkedIn or programmatic channels during procurement windows
MH-1: Paid agent runs account-based campaigns targeting enterprises with hybrid cloud deployments and WAN modernization initiatives
Technical documentation exists but lacks narrative content on edge computing trends, MPLS modernization, or enterprise use cases
MH-1: Content agent produces technical whitepapers, network architect case studies, and edge-to-cloud performance benchmarks
No apparent lifecycle nurture around multi-site deployments, partner integrations, or cloud expansion upsells post-initial deployment
MH-1: Lifecycle agent triggers expansion campaigns when customers add cloud endpoints or extend edge to new branch locations
Top Growth Opportunities
Network buyers initiating edge and WAN projects rarely see Graphiant compared to established SD-WAN players in procurement searches
AEO and SEO agents dominate technical evaluation queries, positioning Graphiant as MPLS-performance alternative
Network architects on LinkedIn and technical forums discuss edge connectivity but Graphiant lacks visible thought leadership presence
Founder and CTO LinkedIn workflows publish technical deep-dives on edge performance, MPLS alternatives, hybrid cloud connectivity
Existing customers likely have expansion opportunities across new cloud regions and branch locations not being activated
Lifecycle agent identifies expansion signals and runs targeted campaigns for site licensing and cloud gateway additions
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Graphiant. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Graphiant'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 Graphiant'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 Graphiant'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 Graphiant from week 1.
AEO workflow captures 'edge networking architecture', 'MPLS vs SD-WAN', 'hybrid cloud connectivity' queries in LLM responses, surfacing Graphiant as performance-focused alternative
Ali and executive team publish LinkedIn content on enterprise edge trends, hybrid cloud adoption challenges, and network modernization without rip-and-replace
Paid campaigns target mid-market enterprises with 10+ locations and cloud workloads, emphasizing guaranteed delivery and internet-class agility over legacy MPLS
Lifecycle campaigns trigger when customers deploy first edge gateway, automating expansion nurture for multi-cloud and partner connectivity use cases
Competitive watch monitors SD-WAN positioning, edge platform announcements, and cloud connectivity partnerships to inform content and messaging
Pipeline intelligence maps enterprise WAN modernization projects, identifies budget signals, and aligns outbound to network procurement cycles
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 Graphiant'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 surfacing Graphiant in enterprise architect searches (AEO and SEO), launching founder thought leadership on edge modernization (LinkedIn), activating existing customer expansion campaigns (lifecycle), and testing paid outreach to enterprises in WAN refresh cycles. Data from early experiments informs next quarter's scaling strategy.
How does Graphiant appear when network architects ask AI about edge-to-cloud connectivity options
Currently, Graphiant isn't visible in most LLM responses about enterprise edge services. MH-1's AEO module builds knowledge across AI models by publishing technical content on your MPLS-performance approach, indexing use cases, and establishing Graphiant as the alternative to cloud-native-only solutions. This captures architects early in evaluation.
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 Graphiant specifically.
How is this page personalized for Graphiant?
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 Graphiant's current marketing. This is a live demo of MH-1's capabilities.
Let your edge network be found by the architects evaluating it
The system gets smarter every cycle. Let's talk about building it for Graphiant.
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