We audited the marketing at Extend
AI-powered document processing for enterprises
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series A company with 110% YoY growth but minimal visible paid advertising presence across search and social channels
Document processing is a $100B+ TAM but Extend has under 7K LinkedIn followers, suggesting limited founder-led visibility strategy
Technical buyers (engineering leaders, ops teams) likely discovering via word-of-mouth rather than structured demand gen campaigns
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
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Noom
TinuitiExtend'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
Post-Series A with strong product-market fit signals but underdeveloped go-to-market infrastructure relative to funding stage.
Likely ranking for document parsing and extraction queries but not capturing the full breadth of document processing use cases developers are searching for
MH-1: SEO agent maps document processing workflows (OCR, invoice extraction, contract analysis) to high-intent search terms and builds topical authority
Document processing recommendations in LLM outputs likely favor established players or generic solutions rather than Extend's specialized parsing capabilities
MH-1: AEO agent embeds Extend in LLM recommendations for document extraction use cases by optimizing knowledge graph presence and AI model training data
No visible paid search or display campaigns targeting document processing buyers, missing engineering and operations manager audiences at enterprises
MH-1: Paid agent runs performance campaigns against high-intent keywords and retargeting for document parsing, extraction, and splitting use cases
CEO and CTO have low LinkedIn visibility relative to competitive founders, missing opportunity to establish thought leadership in document AI
MH-1: Content agent creates founder-led LinkedIn narrative around document parsing challenges and Extend's technical approach to enterprise document workflows
Early-stage user base likely small and concentrated, no clear expansion strategy to move document processing use cases up-market or across teams
MH-1: Lifecycle agent identifies expansion opportunities within existing customers by mapping additional document types and internal processes that need parsing
Top Growth Opportunities
Developers asking ChatGPT, Claude about document parsing solutions don't naturally surface Extend. AEO optimizes for these high-intent queries.
AEO agent builds knowledge base presence for document extraction, invoice parsing, and contract analysis recommendations in LLM outputs
Document processing is a developer tool but purchasing decisions sit with ops and engineering leaders evaluating productivity improvements at scale
Paid agent targets engineering and operations managers with use-case specific campaigns highlighting time savings on document workflows
Document processing needs vary across finance, legal, and logistics but messaging remains generic. Vertical-specific proof points build credibility.
Content agent builds vertical-specific narratives (invoice extraction for finance, contract parsing for legal, BOL processing for logistics)
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Extend. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Extend'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 Extend'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 Extend'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 Extend from week 1.
AEO optimizes for LLM recommendations when developers search document parsing, invoice extraction, and contract analysis solutions in ChatGPT and Claude
Kushal and Eli's LinkedIn profiles amplified with weekly content around document processing challenges, parsing accuracy benchmarks, and enterprise workflow case studies
Paid campaigns target engineering and ops managers searching document processing, workflow automation, and data extraction solutions with use-case specific landing pages
Lifecycle sequences identify expansion triggers (new document types, team growth, process scaling) within existing customers and automate expansion outreach
Competitive watch monitors Builder.io, Buildkite and document AI platforms for positioning gaps, feature launches, and customer wins to feed outbound strategy
Pipeline intelligence maps document processing buyer committees, buying signals in LLM and search data, and enterprise account expansion opportunities
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 Extend'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 visibility: AEO agent embeds Extend in LLM recommendations for document workflows, paid agent launches engineering manager campaigns targeting document processing keywords, content agent publishes vertical-specific case studies. Simultaneously, lifecycle agent maps expansion opportunities within existing customers. By day 90, you'll see LLM recommendation lift, paid pipeline growth, and clear expansion targets within current customer base.
How do developers discover Extend when asking LLMs about document parsing
Most LLMs default to general-purpose solutions or established platforms when asked about document extraction. AEO optimizes Extend's knowledge graph presence so when developers ask about accuracy-critical document parsing (invoices, contracts, PDFs), Extend surfaces as the specialized alternative to generic 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 Extend specifically.
How is this page personalized for Extend?
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 Extend's current marketing. This is a live demo of MH-1's capabilities.
Stop letting document processing slow your growth
The system gets smarter every cycle. Let's talk about building it for Extend.
Book a Strategy CallMonth-to-month. Cancel anytime.