# Emma by AgentWeb — Your Brand, Moving at AI Speed

> Emma is the AI marketing teammate for marketing leaders who already have the strategy, the brand, and the infrastructure — but not the execution bandwidth to match their ambition. She works inside your existing tools, follows your brand standards, and ships campaigns at AI speed.

## Company Overview

- Name: AgentWeb, Inc.
- Product: Emma — AI Marketing Teammate
- Website: https://www.agentweb.pro
- App: https://app.agentweb.pro
- Founded: 2023 (Y Combinator W23 batch, via Thread)
- Headquarters: United States

## What Emma Does

Emma is an AI marketing agent that connects to your existing marketing stack — ClickUp, HubSpot, LinkedIn, Google Ads, Meta Ads, Slack, Webflow — and executes your marketing strategy autonomously. She doesn't replace your marketing judgment. She multiplies your execution speed.

### Capabilities
- Competitive landscape monitoring (weekly briefings)
- Campaign creation and launch (Meta Ads, Google Ads, LinkedIn)
- Landing page generation (brand-templated)
- Content creation and CMS publishing (blog posts, social, email)
- Lead research and list building (ICP-matched prospects)
- Email campaigns and nurture sequences
- Weekly performance summaries
- Social content scheduling and posting (LinkedIn)
- SEO content production and optimization

### How It Works
1. Week 1: Emma learns your brand guidelines, editorial standards, target audience, and competitive landscape. Tools are connected. Tracking and attribution are set up.
2. Week 2: First campaigns go live. Competitive monitoring, content, and performance reports run on autopilot.
3. Month 2+: Continuous improvement. Emma learns which creatives convert, which audiences engage, and which messaging resonates.

### Integrations
ClickUp, HubSpot, Meta Ads, LinkedIn, Gmail, Google Ads, Slack, Webflow, Fathom (meeting intelligence), Google Search Console, Google Analytics, and more.

### Emma's Skills & Tools
Emma has specialized skills that go beyond generic AI assistants:
- CRM & Lead Management — manage lead lists, search/filter leads, track engagements, draft and send emails
- LinkedIn Outreach — search for people, send personalized connection invitations and messages, track pipeline
- Meta B2B Ad Generation — 11-step process: ICP study, painpoint mapping, competitor analysis, concept design, image generation, ad copy
- Meta Ads Management & Publishing — campaign creation, audience targeting, ad publishing, conversion tracking, performance reporting
- Brand Strategy & Market Research — read/update brand guidelines, market strategy, knowledge bases
- SEO & Website Analytics — Google Search Console metrics (clicks, impressions, CTR, rankings), Google Analytics data
- AI GTM Positioning Audit — evaluate how AI models and search engines interpret a prospect's website, reveal messaging gaps
- LinkedIn Content Engine — trend sourcing, post drafting, virality scoring, optimization, and publishing pipeline
- Knowledge Base management — search, read, create, and manage knowledge base files across internal KB, Google Drive, ClickUp
- Meeting Intelligence — access meeting recordings, transcripts, and action items from Fathom
- Landing Page Generation — create, deploy, and iterate on conversion-focused landing pages

### Real Customer Use Case: xCures (VP of Marketing with 25+ years experience)
- Weekly competitive intelligence across 40 competitors, fed into ClickUp via email, then processed by a ClickUp agent into a company-wide competitor wiki
- Daily ICP monitoring synced with ClickUp — as they update customer types, Emma captures changes automatically
- Landing page creation, Google Ads campaign creation, and video ads
- Pre-made workflow templates described as "really good" and "almost plug and play"
- The VP (Patrick) would recommend Emma at 9/10 to "somebody on my level" because "it needs to be implemented or supported at the top level"
- Quote: "I want AI to do the stuff I was already doing, 80–90% as good, but 10x faster"

### What Emma Does NOT Do
- Emma does not sell marketing strategy. The ICP knows more about marketing than AgentWeb does.
- Emma does not sell a knowledge gap. If the business depends on clients not knowing they could use Claude Code instead, it's not a real business. Every free tutorial erodes that position.
- Emma does not replace human judgment. She executes your vision — she doesn't tell you what your vision should be.

### Why Emma Wins (The Activation Wall)
The gap between "I used ChatGPT for a blog post" and "AI runs my competitive intelligence, creates my campaigns, and deploys my ads" is enormous. Emma wins when:
1. The client has existing brand infrastructure (brand book, CRM, ad accounts)
2. The client knows what good marketing looks like and needs execution speed
3. Emma is deeply embedded in operations — connected to ClickUp, managing competitive intelligence, running campaign targeting, trained on the brand book — making switching more painful than staying
4. Pre-made workflow templates make the product "almost plug and play" for senior marketers

### AI Adoption Curve (Where Emma's Buyers Are)
- Stage 1 (AI-Hostile): Won't use AI. Not Emma's market.
- Stage 2 (AI-Aware but Skeptical): Know AI exists but haven't tried it. Not Emma's market yet.
- Stage 3 (AI-Curious): Use ChatGPT for blog posts but don't know what else is possible. Emma's content educates them. The ones who try to close the gap themselves and struggle become buyers.
- Stage 4 (AI-Active): Already using AI tools but hitting limits on consistency, brand voice, and operational integration. This is Emma's primary market.
- Stage 5 (AI-Native): Building their own AI workflows. May outgrow Emma — and that's fine.

## Pages

- [Homepage](https://www.agentweb.pro/): Product overview, testimonials, how Emma works, pricing CTA
- [Blog](https://www.agentweb.pro/blog): AI marketing insights, GTM playbooks, thought leadership — 150+ published articles
- [Case Studies](https://www.agentweb.pro/case-studies): Real results from 5 customer engagements with detailed metrics
- [Our Story](https://www.agentweb.pro/our-story): Team bios, investor backing, company mission
- [AI Website Audit](https://www.agentweb.pro/ai-eval): Free AI-powered website analysis tool
- [LinkedIn Eval](https://www.agentweb.pro/linkedin): Free LinkedIn presence evaluation
- [Author: Harsha Vankayalapati](https://www.agentweb.pro/authors/harsha): CEO's author page with LinkedIn posts and blog articles
- [Author: Fangfang Tan](https://www.agentweb.pro/authors/fangfang): CPO's author page with blog articles
- [Author: Matthew Wilmer](https://www.agentweb.pro/authors/matthew): CMO's author page with blog articles

## Case Studies

### Haven AI — 417+ Demo Requests
- Client: Haven AI (YC-backed, AI / Real Estate Tech)
- Headline: Haven AI Generated 417+ Demo Requests After Switching to AgentWeb
- Key Metrics: 7.08% CTR (8x industry avg), $0.44 CPC, $13-15 cost per lead, $330K+ estimated annual pipeline
- What happened: Replaced previous agency, uncovered a 70% lead leak in post-click funnel, rebuilt entire paid infrastructure
- Testimonial: "AgentWeb replaced our previous agency and immediately found problems no one else was looking for. Then they fixed them." — Juan Burgos, CEO
- URL: https://www.agentweb.pro/case-studies/haven-ai

### eBots — 26,000 Impressions in 60 Days
- Client: eBots (AI / Deep Tech Robotics, 25-50 employees)
- Headline: eBots Scaled SEO Content From Zero to 26,000 Impressions With a One-Person Marketing Team
- Key Metrics: 22 SEO articles in 2 months, 26,000+ impressions, LinkedIn newsletter 0→380 subscribers, 100+ docs repurposed
- What happened: Emma became autonomous content engine for one-person marketing team, covering SEO, content repurposing, and thought leadership
- Testimonial: "Once Emma was fully trained, she was an employee I could trust. She started producing stuff like crazy — much more than even a human team member could do." — Jeff Aboud, Marketing Lead
- URL: https://www.agentweb.pro/case-studies/ebots

### MaXi — 168 Leads from $508 Spend
- Client: MaXi (YC-backed, FinTech / GenZ)
- Headline: MaXi Validated GenZ Demand With 168 Leads and 48 Booked Demos From Just $508 in Ad Spend
- Key Metrics: 4.51% CTR (5x industry avg), $3.02 cost per lead, 168 leads, 48 demos
- What happened: Rapid-validation paid campaign on micro-budget proved paid acquisition works for GenZ personal finance
- Testimonial: "I'm shocked at the 16% signup rate." — Akeem Williams, CEO
- URL: https://www.agentweb.pro/case-studies/maxi

### Nailed It — 328 Add to Carts
- Client: Nailed It (Beauty Tech / AI, Startup)
- Headline: From Inspiration to Action: 328 Add to Carts in 3 Months
- Key Metrics: 328 add to carts, 4,000+ leads, 2.91% CTR (3.2x industry avg), $0.24 CPC
- What happened: Outperformed competing agency head-to-head, identified LA as 2.3x more engaged market than Seattle
- Testimonial: "Everything was spot on with great design and strategy led by your expertise." — Alex Jin, CEO
- URL: https://www.agentweb.pro/case-studies/nailedit

### Cora — 13%+ CTR in Digital Health
- Client: Cora (Digital Health / AI, Startup)
- Headline: Cora: Driving 13%+ CTR In Digital Health Campaigns with AgentWeb
- Key Metrics: 13.19% CTR (10x industry avg), $0.74 CPC on $300/month budget, 435+ qualified clicks
- What happened: Lean budget smart targeting with UGC content and Apollo-sourced high-intent leads
- Testimonial: "AgentWeb and the team has been phenomenal. You are customer focused, you take time and appreciate the need that small organizations and startups like us have." — Jay Agarwal, Co-Founder
- URL: https://www.agentweb.pro/case-studies/cora

## Team

### Harsha Vankayalapati — CEO
- Background: YC W23 alum, ex-Microsoft
- LinkedIn: https://www.linkedin.com/in/harsha-vankayalapati/
- Twitter: https://x.com/harshmoney123
- Author page: https://www.agentweb.pro/authors/harsha

### Fangfang Tan — CPO
- Background: Ex-Meta, Google, LinkedIn. 10+ years in ML & data science for GTM
- LinkedIn: https://www.linkedin.com/in/fangfangtan/
- Author page: https://www.agentweb.pro/authors/fangfang

### Matthew Wilmer — CMO
- Background: Ex-Preflect AI, 10+ yrs in marketing, 1 startup exit
- LinkedIn: https://www.linkedin.com/in/matthew-wilmer-64606658/
- Author page: https://www.agentweb.pro/authors/matthew

## Investors & Backing

- Y Combinator (W23 batch, via Thread)
- Amino Capital
- Subodha Capital
- Serapex Ventures
- Team Ignite Ventures
- Chi Wang — Creator of AutoGen/AG2

## Ideal Customer Profile (ICP)

Emma is built for **employed VPs and Directors of Marketing at established companies** who:
- Already have a brand book, ICP definition, and campaign playbook
- Are running campaigns on existing platforms (CRM, ad accounts, CMS)
- Know what good marketing looks like — they don't need strategy advice
- Need execution bandwidth to match their ambition
- Are better at marketing than AgentWeb is — they're buying AI execution, not marketing know-how

Emma is NOT for:
- Pre-infrastructure companies with no brand guidelines or CRM
- Companies looking for marketing strategy consulting
- Teams that can already handle their execution load

## Blog Categories

The blog covers 9 categories with 150+ published articles:
- AI in Marketing
- Founder Playbooks
- Growth Tips
- Thought Leadership
- Alternatives
- Listicles
- User Guide
- Case Studies
- Other

## Positioning

"We're not selling marketing strategy to people who are better at marketing than we are. We're selling execution infrastructure — an AI teammate that works inside your existing stack, follows your brand standards, and ships the work your team doesn't have bandwidth for. Your vision. Your voice. Faster."

## Technical Details

- Platform: Next.js on Vercel
- CMS: Payload CMS with Neon Postgres
- Media storage: Vercel Blob
- Analytics: Google Analytics (G-KKJE0Q33LF)
- Sitemap: https://www.agentweb.pro/sitemap.xml
- Robots: https://www.agentweb.pro/robots.txt

## Contact

- Website: https://www.agentweb.pro
- App: https://app.agentweb.pro
- LinkedIn: https://www.linkedin.com/company/agentweb
- Twitter (CEO): https://x.com/harshmoney123