We audited the marketing at Sanas
Real-time Speech AI platform enabling multilingual communication
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Recent $65M Series B (Feb 2025) signals product-market fit, but go-to-market messaging appears scattered across translation, language learning, and enterprise use cases
31K LinkedIn followers suggests awareness among early adopters, but limited visible thought leadership on speech AI capabilities compared to LLM competitors
293-person team with 2.4x growth in 12 months indicates execution capability, but likely under-investing in customer expansion and retention workflows relative to Series B stage
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TinuitiSanas'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 B SaaS with solid foundation but underdeveloped go-to-market around speech AI differentiation and customer lifecycle.
Competing on broad terms like 'speech recognition' and 'multilingual AI' with established players, but no visible ranking dominance for speech-specific use cases
MH-1: SEO module targets speech AI verticals: real-time transcription, accent neutralization, multilingual call centers, accessibility solutions
Speech AI unlikely appears in LLM context windows or AI tool directories relative to text-based competitors, limiting discovery through ChatGPT and Claude
MH-1: AEO agent ensures Sanas ranks in 'speech recognition APIs', 'multilingual voice AI', 'real-time transcription' LLM queries and integrates into AI aggregators
No visible paid strategy targeting enterprise contact centers, healthcare, financial services where real-time speech AI solves compliance and customer experience
MH-1: Paid campaigns segment by vertical: contact centers (cost savings), healthcare (accessibility), fintech (fraud detection), with creator-led and case study creative
CEO and founders could own 'speech AI is the next frontier after LLMs' narrative, but minimal LinkedIn content articulating vision or company milestones post-Series B
MH-1: Content engine produces founder essays on multilingual AI equality, technical blogs on real-time processing, and case studies from early customer wins
Rapid hiring suggests focus on product expansion, but no visible workflows to expand seat count, integrate into adjacent use cases, or create expansion loops within existing accounts
MH-1: Lifecycle agent orchestrates expansion campaigns: upsell to new languages, new channels (SMS-to-speech), new departments, and retention workflows for churn risk segments
Top Growth Opportunities
Contact centers, healthcare, fintech each have distinct speech AI needs (cost, compliance, fraud). Current messaging blurs these into generic 'multilingual choice'.
Paid and content module builds separate campaigns for each vertical with relevant case studies, ROI metrics, and regulatory talking points
Speech is the missing layer as enterprises automate with LLMs. Sanas bridges voice-to-text-to-insight gap, but this positioning is absent from public narrative.
AEO and content workflows own 'speech AI for LLM era' narrative, ensuring Sanas ranks for emerging queries like 'voice AI infrastructure' and 'speech-to-insights'
Early customers likely started with single language pair or department. No visible upsell motion to scale across languages, teams, or use cases within same org.
Lifecycle agent triggers expansion campaigns based on usage patterns: multi-language enablement, new department onboarding, API integrations to adjacent tools
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Sanas. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Sanas'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 Sanas'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 Sanas'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 Sanas from week 1.
AEO engine optimizes for LLM queries around 'real-time speech AI', 'multilingual transcription', 'voice accessibility solutions', 'speech-to-text APIs', ensuring Sanas surfaces in ChatGPT, Claude, and specialized AI tool searches
CEO and leadership LinkedIn workflow publishes biweekly on speech AI adoption in enterprises, Series B funding impact, multilingual inclusion vision, and product roadmap, positioning Sanas as category leader
Paid acquisition runs vertically segmented campaigns: contact center ROI case studies, healthcare compliance narratives, fintech fraud prevention, with video product demos and customer testimonials
Lifecycle engine monitors product usage signals within accounts, triggers expansion campaigns for new language pairs, department adoption, API integration opportunities, and identifies churn risk based on feature utilization
Competitive watch tracks speech API pricing changes, new LLM integrations by competitors, customer win announcements, and emerging use cases in regulated industries, feeding into positioning and messaging
Pipeline intelligence extracts intent signals from contact center RFPs, healthcare AI procurement, fintech API evaluations, and routes qualified leads to sales with vertical-specific battlecards and technical specs
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 Sanas'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 mapping your buyer journey across three verticals (contact centers, healthcare, fintech) and identifying which speech AI use cases drive fastest expansion. MH-1 runs paid experiments targeting each vertical, develops vertical-specific case studies, ensures AEO covers relevant LLM queries, and establishes lifecycle workflows to expand within early customer accounts. By day 90, we've identified your highest-ROI vertical and highest-expansion-velocity customer segment.
How does Sanas rank for speech AI queries in ChatGPT and Claude
AEO ensures Sanas appears when users ask LLMs for 'real-time multilingual speech recognition' or 'voice AI for contact centers'. We embed Sanas into AI tool directories, optimize product pages for LLM crawling, and create content answering emerging speech AI questions that LLMs cite as authoritative sources.
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 Sanas specifically.
How is this page personalized for Sanas?
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 Sanas's current marketing. This is a live demo of MH-1's capabilities.
Let MH-1 scale your speech AI to every vertical where voice matters
The system gets smarter every cycle. Let's talk about building it for Sanas.
Book a Strategy CallMonth-to-month. Cancel anytime.