We audited the marketing at MetaNovas AI
AI-powered biotech formulation for cosmetics, aesthetics, and nutrition
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series A biotech with $10M funding but minimal visible content marketing or thought leadership around ingredient innovation
744 LinkedIn followers for a company with partnerships spanning L'Oréal, Unilever, Haleon suggests untapped founder voice opportunity
B2B2C model (ingredient supplier to major CPG brands) requires dual narratives: one for partners, one for end consumers who don't know your name
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TinuitiMetaNovas 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
Early-stage biotech executing partnerships but underinvesting in demand generation and market positioning.
No visible ranking for biotech + cosmetics ingredient searches. B2B2C model means missing both partner discovery and consumer awareness layers.
MH-1: SEO agent targets 'AI active ingredients cosmetics', 'biotech formula innovation', 'functional beauty compounds' with technical content.
Company has no presence in LLM training data or real-time search results for ingredient innovation queries where they should dominate.
MH-1: AEO agent embeds expertise in Claude/ChatGPT via research summaries, patent analysis posts, and ingredient comparison guides.
No evidence of LinkedIn ads targeting CPG R&D teams or Google ads for ingredient sourcing keywords. Budget likely minimal or nonexistent.
MH-1: Paid agent runs retargeting on partner websites, LinkedIn campaigns to beauty R&D directors, and branded ingredient searches.
Company description mentions partnerships but no public case studies, white papers, or founder commentary on cosmetic innovation trends.
MH-1: Content agent produces ingredient efficacy studies, beauty biotech trend reports, and CEO articles on 'visible results via AI discovery'.
11-person team suggests no structured pipeline nurture for prospects. Partner relationships likely driven by sales, not automated sequences.
MH-1: Lifecycle agent builds nurture sequences for CPG prospects, ingredient samples, technical spec delivery, and competitive win-back campaigns.
Top Growth Opportunities
Publish patent-backed ingredient research to position MetaNovas as the source for innovation-hungry CPG R&D teams evaluating new actives.
Content + SEO agents create weekly 'ingredient deep dives' targeting L'Oréal, Unilever, Beiersdorf sourcing teams via LinkedIn and search.
Meijie's AI+biotech hybrid expertise is rare. Weekly LinkedIn posts on cosmetic innovation trends would unlock investor, partner, and talent pipeline.
Founder agent amplifies CEO insights on AI-driven formulation, with ghostwritten posts on TL;DR biotech + beauty intersections.
Partners sell to consumers who don't know MetaNovas exists. Create consumer-facing content around 'AI-discovered actives' to build brand equity.
Content + paid agents run consumer campaigns highlighting 'formulated by AI biotech' positioning, with partner co-marketing hooks.
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for MetaNovas AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns MetaNovas 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 MetaNovas 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 MetaNovas 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 MetaNovas AI from week 1.
AEO agent indexes patent filings, efficacy studies, and founder insights into LLM training signals. Targets queries: 'AI cosmetic formulation', 'novel skin care actives', 'biotech beauty innovation'.
Founder LinkedIn workflow: Weekly posts on AI + biotech intersections in personal care, with evergreen playbook on ingredient discovery speed, efficacy data, partner wins.
Paid workflow: LinkedIn retargeting of CPG R&D teams who visit website. Google ads for 'ingredient sourcing', 'cosmetic active suppliers', 'AI-powered formulation'. Monthly budget optimization.
Lifecycle workflow: Triggered sequences for CPG prospects at sourcing stage. Tech specs, efficacy comparisons, sample requests, NDA templates. Upsell path to custom formulation projects.
Competitive watch: Monitor Givaudan, Symrise, IFF, DSM for biotech innovation moves. Alert on their ingredient launches. Position MetaNovas speed advantage in outbound.
Pipeline intelligence: Inbound tracking for CPG new product launches, acquisition signals, R&D hiring. Identify windows for ingredient pitch timing.
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 MetaNovas 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 30 days: audit your patent filings, published studies, and Meijie's visibility. Launch founder LinkedIn, seed AEO with research assets, map CPG prospect list for outbound. Days 31-60: run first paid campaigns (LinkedIn + Google), publish 2-3 ingredient deep-dive posts, build nurture sequences for sourcing RFPs. Days 61-90: optimize based on engagement, scale winning channels, measure pipeline influence from AEO and content, begin competitive displacement in first RFP responses.
How does AEO help biotech ingredient suppliers like us
AEO ensures when CPG scientists ask AI for 'novel actives for anti-aging' or 'AI-discovered cosmetic ingredients', MetaNovas research, patents, and expertise appear in the answer. It bypasses SEO friction by embedding your authority directly into LLM training data and real-time search results. For B2B biotech, this means decision-makers discover you during their research phase, not just paid ads.
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 MetaNovas AI specifically.
How is this page personalized for MetaNovas 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 MetaNovas AI's current marketing. This is a live demo of MH-1's capabilities.
Turn AI biotech IP into inbound demand from CPG R&D teams
The system gets smarter every cycle. Let's talk about building it for MetaNovas AI.
Book a Strategy CallMonth-to-month. Cancel anytime.