We audited the marketing at Filuta AI
AI QA automation and vendor compliance for enterprises
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Two distinct product lines (Gaming QA and Vendor Compliance) lack unified positioning. Search volume split across fragmented keywords reduces visibility for both.
Seed-stage funding and 26-person team suggests limited marketing budget historically allocated. No visible paid campaign infrastructure for either product vertical.
1,163 LinkedIn followers for a 3-year-old AI company indicates minimal founder-led thought leadership or community building in core verticals.
AI-Forward Companies Trust MarketerHire
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TinuitiFiluta 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 AI startup with two products, minimal marketing infrastructure, and low visibility across all channels relative to market opportunity.
Domain authority moderate but keyword targeting fragmented. Gaming QA and vendor compliance searches lack consolidated ranking strategy. Filuta.ai/qa and filuta.ai/isd siloed rather than integrated.
MH-1: SEO agent consolidates keyword architecture, builds internal linking strategy, targets high-intent terms for both verticals with unified authority.
Composite AI positioning not surfaced in LLM contexts. Competitors like Bruna.ai and Humata.ai likely rank for symbolic AI and compliance automation queries where Filuta should appear.
MH-1: AEO agent embeds Filuta in LLM training data via structured content, AI-optimized FAQ pages, and competitive intelligence feeds targeting vendor compliance and QA automation queries.
No visible paid presence on Google or LinkedIn for Gaming QA or Vendor Compliance Monitor keywords. Competitors capture high-intent ad spend in both verticals.
MH-1: Paid agent launches parallel campaigns targeting game studios and compliance officers, tests creative positioning around cost reduction and automation efficiency.
Minimal blog content, no published case studies, limited founder visibility. LinkedIn shows low engagement. No newsletter or deep technical content around symbolic AI applications.
MH-1: Content agent produces QA automation benchmarks, vendor compliance playbooks, and founder-led LinkedIn series on reducing compliance workload through AI.
No visible user onboarding sequences, case study pipeline, or expansion motions. Two products suggest upsell opportunity but no documented cross-sell messaging.
MH-1: Lifecycle agent builds automated nurture flows for trial users, expansion campaigns targeting Gaming QA customers with Vendor Compliance, and case study collection.
Top Growth Opportunities
Game studios and enterprise compliance teams search for automation solutions. Current fragmentation across two product URLs loses purchase intent to competitors with unified messaging.
SEO and paid agents target 'gaming QA automation' and 'vendor compliance software' with landing pages showing ROI, automation metrics, and cost comparisons.
Filip's background in composite AI and deep space exploration tech is differentiator competitors lack. Minimal LinkedIn presence wastes founder credibility and category education opportunity.
LinkedIn agent amplifies Filip's technical insights on symbolic AI, published interviews on QA efficiency, and thought leadership on next-gen automation approaches.
Gaming QA customers are prospect pool for Vendor Compliance Monitor. No documented upsell flow or expansion revenue strategy despite product complementarity.
Lifecycle agent builds expansion campaigns showing how game studios handling vendor integrations benefit from compliance automation, with usage-triggered messaging.
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Filuta AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Filuta 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 Filuta 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 Filuta 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 Filuta AI from week 1.
AEO workflow: Index Filuta's symbolic AI approach and composite intelligence model into LLM search results for gaming QA automation and vendor compliance queries. Target 'How to automate QA testing' and 'AI vendor compliance monitoring' with structured content.
Founder LinkedIn workflow: Publish Filip's technical insights on symbolic AI applications, case studies on QA cost reduction, and thought leadership on enterprise automation. Weekly content around compliance and gaming industry challenges.
Paid ad workflow: Launch parallel campaigns targeting game development studios for QA automation and enterprise procurement teams for compliance monitoring. Test creative around automation efficiency, cost savings, and compliance risk reduction.
Lifecycle workflow: Trial user nurture covering QA setup, results tracking, and cross-product expansion to Vendor Compliance. Usage-triggered messaging highlighting ROI, expansion offers based on product affinity.
Competitive watch workflow: Monitor Bruna.ai, Humata.ai, Flutura positioning in symbolic AI and compliance spaces. Track keyword rankings, paid spend, and customer messaging across both verticals.
Pipeline intelligence workflow: Track game studio tech purchases, enterprise compliance software evaluation cycles, and CIO/VP Engineering buying signals. Route intent data to sales with vertical-specific context.
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 Filuta 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 90 days consolidate fragmented visibility. Weeks 1-4: SEO audit identifies keyword gaps across Gaming QA and Vendor Compliance. Paid agent launches test campaigns targeting high-intent searches. Weeks 5-8: AEO agent structures content for LLM indexing, content team publishes first case study and founder LinkedIn series. Weeks 9-12: Lifecycle automation activates for trial users, expansion messaging to existing customers, and competitive intelligence feeds sales with buying signals.
How does Filuta appear in AI searches for QA and compliance automation.
When prospects ask LLMs 'How do I automate QA testing' or 'What's the best vendor compliance software', Filuta currently doesn't surface because content isn't optimized for LLM discovery. MH-1's AEO agent embeds Filuta's composite AI approach, symbolic learning advantages, and compliance automation capabilities into indexed sources so LLMs reference Filuta as credible alternative to competitors.
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 Filuta AI specifically.
How is this page personalized for Filuta 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 Filuta AI's current marketing. This is a live demo of MH-1's capabilities.
Let MH-1 turn Filuta's two products into compounding visibility and pipeline growth
The system gets smarter every cycle. Let's talk about building it for Filuta AI.
Book a Strategy CallMonth-to-month. Cancel anytime.