outbound-studio

name

outbound-studio

description

Outbound Studio — a 7-agent autonomous outbound sales crew that finds SMBs with weak web presence, builds them a better site on spec, and sends targeted outreach. Use when the user asks about running the Outbound Studio pipeline, adding leads, triggering agent runs, or working with the prospect-to-close workflow. The system covers: Prospector (Maps + Exa), Strategist (SEO audit + dossier), Builder (site on Vercel), Auditor (quality gate), Packager (video + email), Persona Tester, and Conductor (notify + approve).

Outbound Studio

An autonomous outbound sales crew that turns SMBs with weak web presence into paying clients — by building them a better site on spec before asking for anything.

Core Mechanic

Build the best version of their site → show it to them → let them claim it within 7 days → recycle the asset if they pass (rerun for a similar business in a different location).

The 7-Agent Crew

1. Prospector

• Input: vertical + geo (e.g., power_washing in Houston, TX)
• Output: Lead pack — businessName, domain, sector, contactEmail, contactPhone, opportunityTag
• opportunityTag values: no_website | weak_website | outdated | not_ai_citable
• Tools: Google Maps, Exa
• Handoff: scored lead JSONL → Strategist

2. Strategist

• Input: Lead JSON from Prospector
• Output: Target dossier — business info, services, brand voice, top review themes, competitor comparison table, gap inventory
• Tools: Firecrawl (full-site crawl), Exa (competitor research), Browserbase (JS-rendered sites)
• Skills: SEO Auditor
• Handoff: dossier.md + competitor_comparison.json → Builder

3. Builder

• Input: Target dossier from Strategist
• Output: Live Vercel URL, GitHub repo, asset manifest (schema + llms.txt baked in)
• Deploy pattern: business-name.vercel.app
• Never free-code — use templates + design systems + components
• Tools: GitHub, Vercel, Cloudinary, Pexels, GenerateImage
• Design reference: awesome-design-md repository (60+ brand DESIGN.md files — match archetype to vertical)
• Handoff: site URL + asset manifest → Auditor

4. Auditor

• Input: Site URL + dossier + competitor list
• Output: Audit report — gaps_closed per item, competitor scores, customer-journey grade (clarity/trust/ease/confidence), responsive check at 375/768/1440, AI-citability checklist
• Quality gate: Pass (all gaps closed + agent swarm grade > competitor set) OR Fail (fix list → Builder)
• V2: Monte Carlo customer-journey simulation — agent swarms of target customer, iterate until site wins
• Tools: Browserbase, Exa
• Handoff: pass-flag + audit report → Packager

5. Packager

• Input: Site URL + audit report + contact info + brand voice
• Output: Email draft (subject, body, video embed, live URL, price, 7-day window), video walkthrough
• Video generation: hyperframes / website-to-hyperframes (NOT screen recording — generated from HTML)
• Handoff: email draft + video URL → Persona Tester

6. Persona Tester

• Input: Email draft + target persona context from dossier
• Output: Persona review — clarity score, trust score, confidence-to-reply score, red flags
• Loop: green-light → Conductor | fix-list → Packager
• Tools: Gmail (receive), Exa (persona context)

7. Conductor

• Input: Full package from all agents
• Output: Telegram notification to user with approve-to-send CTA
• Handoff: user confirms → email sends | user requests changes → loops to relevant agent

AEO Pitch (lock verbatim)

Right now, when someone asks ChatGPT for the best [service] in [city], your website is structurally invisible to it — dynamic-loading, no schema, no crawler allowlist, no llms.txt. We built this new site so AI agents can read it cleanly. The goal is to get you recommended first. It's a race, it takes time, reviews matter — but right now, you're not even on the track. This puts you in the race.

Quality Differentiator

I didn't stop building this until agent simulations of your typical customer ranked it ahead of every competitor. Here's the link.

Pricing (May 2026, verified from 11 sources)

Offer	Price
Core build (5 pages, AI-optimized, deployed)	$1,997 / $2,497
Premium build (conversion-focused + AEO baked in)	$3,997 / $4,997
Maintenance retainer	$97/mo
SEO retainer	$297/mo
AEO Growth retainer	$497 / $597/mo
AI Quote Tool one-time install	$797 / $997

Framing rules:

• "Launch audit" bundled into month 1 — never billed as a setup fee
• Month-to-month cancellation on retainers
• DIY counter: Wix/Squarespace costs 40-80 hours of owner time = $2K-$6K hidden opportunity cost

Knowledge Libraries (Supabase)

components table: id, archetype, vertical_fit[], source, user_rating, last_used, win_rate

• Builder reads with preference-weighted retrieval: highest-rated + highest-win-rate wins

vertical_packs table: per-vertical research — industry norms, must-have sections, competitor archetypes, proven hooks, pricing benchmarks

Lead Statuses

prospected → strategized → built → audited → packaged → outreached → won | lost | recycled

Opportunity Tags

• no_website: Business has no web presence at all
• weak_website: Site exists but is poor quality
• outdated: Site is old/not AI-citable
• not_ai_citable: Site is technically functional but invisible to AI search

AI Search Stats (for pitch)

• ChatGPT: 900M weekly active users (Feb 2026, doubled in 12 months)
• Google searches per US user fell ~20% YoY 2024-2025
• 37% of consumers now start searches with AI tools (not Google)
• Perplexity: 45M MAU early 2026, 800% YoY growth
• 51% of consumers changed research habits due to GenAI

Retainer Positioning

$497-$597/mo AEO Growth undercuts Optimum Web ($490/mo SEO-only, no AEO) and HelloSEO ($850/mo) while bundling more verifiable deliverables: llms.txt, schema, AI-crawler allowlist, AI-visibility monitoring.

References

• See references/agent-configs.md for per-agent system prompt starters
• See references/vertical-pack-template.md for the vertical research scaffold