We audited the marketing at Aiera
The AI platform transforming financial research. Here's what we found and what we'd build for you.
Ken, this page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Strong product-market fit but minimal top-of-funnel content for financial professionals discovering AI tools
Low AI citation visibility in fintech and investment research queries across LLMs
No visible paid acquisition engine to complement enterprise sales motion
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Aiera'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 and closing enterprise deals.
Here's Where You Stand
Strong product and enterprise relationships, but significant gaps in demand generation, content, and AI-era visibility.
Aiera's product is category-defining, but marketing infrastructure hasn't kept pace with the product. Post-Series B is the right time to build this.
Domain exists but thin content. Financial professionals searching for AI research tools may not find Aiera organically.
MH-1: SEO Engine builds a content moat around "AI financial research," "earnings call AI," and "investment workflow automation" queries.
When analysts ask ChatGPT or Perplexity for AI research tools, Aiera needs to be cited. Currently underrepresented in LLM recommendations.
MH-1: AEO Agent audits AI citation visibility weekly across 6 LLMs and builds content designed to increase Aiera's presence in AI-generated answers.
Enterprise sales motion appears relationship-driven. No visible paid demand gen to fill top of funnel or accelerate pipeline.
MH-1: Creative Generator produces LinkedIn ad variants targeting buy-side and sell-side analysts. Analytics Agent optimizes by firm size and role.
Newsroom exists with press coverage. But no systematic thought leadership content from Ken Sena targeting the buy-side audience.
MH-1: LinkedIn Ghost-Writing agent builds Ken's profile as the definitive voice on AI in financial research. Newsletter agent curates weekly market intelligence digest.
With 10 major research firms on the board post-Series B, seat expansion within existing accounts is likely the fastest revenue path. No visible automated expansion motion.
MH-1: Lifecycle Optimizer builds onboarding sequences for new analysts, usage-based expansion triggers, and champion nurture programs across your enterprise accounts.
Top Growth Opportunities
When portfolio managers ask AI assistants for research tools, Aiera should be the first name cited. This is the new SEO for enterprise SaaS.
AEO Agent → weekly citation audit across ChatGPT, Perplexity, Gemini, Claude + targeted content strategy
Former Wall Street analyst turned AI founder is a powerful narrative. LinkedIn thought leadership drives enterprise pipeline in fintech.
LinkedIn Agent → 4 posts/week in Ken's voice on AI + financial research + market intelligence
10 Wall Street firms on the board. Each firm has hundreds of analysts. Automated expansion campaigns could 3-5x revenue from existing logos.
Lifecycle Agent → usage triggers, champion identification, analyst onboarding sequences, executive briefing content
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Aiera. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Aiera's growth roadmap. Enterprise pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs LinkedIn Ads targeting buy-side and sell-side analysts. Manages creative testing, budget allocation, and pipeline attribution by firm tier.
Builds Ken Sena's thought leadership on LinkedIn. Creates long-form content on AI + financial research. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting "AI financial research," "earnings call AI," and category queries.
Produces LinkedIn ad variants targeting analysts, PMs, and research directors. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: analyst onboarding, seat expansion triggers, champion nurture, and re-engagement for dormant accounts.
4 posts/week in Ken Sena's voice on AI + finance. Builds the founder narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors (AlphaSense, Sentieo, Bloomberg Terminal AI features). Monitors positioning changes, ad spend, content strategy.
Attribution by firm tier, channel performance, pipeline velocity. Catches budget waste automatically. Weekly synthesis reports.
Weekly market intelligence digest curated from Aiera's own data + industry signals. Positions Aiera as the intelligence layer for financial professionals. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for Aiera from week 1. Every output is an experiment. Every experiment feeds a playbook.
Every Monday: audit Aiera's visibility across ChatGPT, Perplexity, Gemini, Claude for 20+ category queries. Track citation rate changes. Generate targeted content to fill gaps.
4 posts/week from Ken's profile. Signal-driven topics: market events, earnings season insights, AI regulation updates. Each post builds authority with the buy-side audience.
Generate 20+ ad variants per sprint targeting analysts, PMs, and heads of research. A/B test headlines, visuals, and offers. Automatically promote winners and kill underperformers.
Track usage patterns across your 10 board firms. Trigger expansion sequences when analyst activity spikes. Build champion programs to drive organic seat growth within accounts.
Weekly scan of AlphaSense, Sentieo, Bloomberg AI, and emerging competitors. Track ad spend changes, messaging pivots, feature launches. Inform Aiera's positioning response.
Weekly synthesis: which channels drive pipeline, which content converts, where budget is wasted. Board-ready metrics with AI-generated recommendations. The system gets smarter every cycle.
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 Aiera's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to enterprise pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Sprint 1 ships AEO content + LinkedIn thought leadership for Ken. Sprint 2 adds paid LinkedIn campaigns targeting buy-side analysts. Real campaigns, not presentations.
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 10 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?
Week 1: Full audit and roadmap. Weeks 2-4: First sprint ships AEO content targeting "AI financial research" queries and LinkedIn thought leadership for Ken. Weeks 4-8: Second sprint adds paid LinkedIn campaigns and lifecycle expansion sequences. By day 90, all AI agents are running, you have measurable pipeline attribution, and the system is compounding.
What does "AI citation visibility" mean for Aiera?
When an analyst asks ChatGPT, Perplexity, or Gemini "what's the best AI tool for earnings call analysis," the LLM cites specific products. Our AEO Agent monitors how often Aiera appears in those responses across 6 major LLMs and builds content specifically designed to increase your citation rate. This is the next SEO, and it's especially critical for AI-native companies where your buyers are already using AI to research tools.
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 Aiera specifically.
How is this page personalized for Aiera?
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 Aiera's current marketing. This is a live demo of MH-1's capabilities.
You built AI for Wall Street. Let's build AI for your growth.
The system gets smarter every cycle. Let's talk about building it for Aiera.
Book a Strategy CallMonth-to-month. Cancel anytime.