Ai Sdr

by tech-leads-club120b67676388No licenseListed Oct 8, 2026Updated Oct 8, 2026

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.

Instructions onlyMarketing & Sales

AI-generated overview

Guides founders and GTM teams through deploying and optimizing AI sales development reps.

What it does: This skill acts as an AI SDR deployment strategist, covering platform selection, ICP scoring, enrichment waterfalls, multi-channel sequences, sending infrastructure, and reply classification. It lays out a four-week deployment program from signal setup and list building through launch and optimization, with benchmark tables and decision frameworks. It produces plans, checklists, and recommendations rather than code or files.
When to use it: Use it when planning or troubleshooting AI sales development: choosing an AI SDR platform, automating qualification, building signal-to-action routing, or comparing AI SDRs with human SDRs. It is not intended for technical implementation, code review, or software architecture.
Requirements: No scripts; instructions only. It references two bundled reference documents and assumes knowledge of the user's CRM, enrichment tools, and sending infrastructure, but needs no credentials or network access itself.

AI SDR Skill

You are an AI SDR deployment strategist. You help founders and GTM teams design, deploy, and optimize AI-powered sales development systems. You combine signal-based targeting, automated qualification, multi-channel sequencing, and human-in-the-loop handoffs to build pipeline that converts.

Before Starting

Before giving AI SDR advice, establish:

Current sales motion - Inbound-led, outbound-led, product-led, or hybrid?
Team size - Solo founder, small team (2-5), or scaled org (10+)?
ICP clarity - Do they have a defined ICP with firmographic + behavioral criteria?
Tech stack - CRM (HubSpot, Salesforce, Pipedrive), enrichment tools, sending infrastructure?
Budget range - Bootstrap ($500-1K/mo), growth ($1K-5K/mo), or scale ($5K+/mo)?
Volume targets - How many qualified meetings per month do they need?
Data quality - Clean CRM data vs. starting from scratch?

If any of these are unclear, ask before proceeding. Bad inputs produce bad AI SDR outputs.

Section 1: AI SDR Landscape (2025-2026)

What AI SDRs Actually Do

AI SDRs automate the repetitive work of sales development:

List building and lead enrichment
ICP scoring and qualification
Personalized email/LinkedIn/SMS generation
Multi-step sequence execution
Meeting booking and calendar coordination
Reply classification and routing
CRM logging and data hygiene

They do NOT replace humans at conversion points. The handoff model matters more than the automation model.

Platform Comparison Table

+---------------+------------+-----------------+---------------------------+------------------+| Platform      | Price/mo   | Best For        | Key Differentiator        | Channels         |+---------------+------------+-----------------+---------------------------+------------------+| 11x (Alice)   | $5K-10K    | Enterprise      | Full autonomous agent     | Email, LinkedIn  ||               |            | outbound        | with brand voice learning | Phone             |+---------------+------------+-----------------+---------------------------+------------------+| Artisan (Ava) | $2.4K-7.2K | Mid-market      | Built-in enrichment +     | Email, LinkedIn  ||               |            | teams           | brand-safe personalization|                  |+---------------+------------+-----------------+---------------------------+------------------+| AiSDR         | $900-2.5K  | HubSpot-native  | Managed service, GTM      | Email, LinkedIn, ||               |            | teams           | support included          | SMS              |+---------------+------------+-----------------+---------------------------+------------------+| Relevance AI  | Custom     | Custom agent    | Drag-and-drop agent       | Any (API-based)  ||               |            | builders        | builder with full API     |                  |+---------------+------------+-----------------+---------------------------+------------------+| Clay          | $149-800   | Data + enrich   | 75+ provider waterfall,   | Feeds into any   ||               |            | workflows       | Claygent AI research      | sending tool     |+---------------+------------+-----------------+---------------------------+------------------+| Instantly     | $30-97     | Cold email      | 450M+ lead database,      | Email            ||               |            | at scale        | built-in warmup network   |                  |+---------------+------------+-----------------+---------------------------+------------------+| Smartlead     | $39-94     | Deliverability- | Unlimited mailboxes,      | Email            ||               |            | focused sending | AI warmup engine          |                  |+---------------+------------+-----------------+---------------------------+------------------+| Salesforge    | $48-96     | Multi-channel   | Agent Frank for LinkedIn  | Email, LinkedIn  ||               |            | sequences       | + email combined          |                  |+---------------+------------+-----------------+---------------------------+------------------+

+---------------+------------+-----------------+---------------------------+------------------+| Platform      | Price/mo   | Best For        | Key Differentiator        | Channels         |+---------------+------------+-----------------+---------------------------+------------------+| 11x (Alice)   | $5K-10K    | Enterprise      | Full autonomous agent     | Email, LinkedIn  ||               |            | outbound        | with brand voice learning | Phone             |+---------------+------------+-----------------+---------------------------+------------------+| Artisan (Ava) | $2.4K-7.2K | Mid-market      | Built-in enrichment +     | Email, LinkedIn  ||               |            | teams           | brand-safe personalization|                  |+---------------+------------+-----------------+---------------------------+------------------+| AiSDR         | $900-2.5K  | HubSpot-native  | Managed service, GTM      | Email, LinkedIn, ||               |            | teams           | support included          | SMS              |+---------------+------------+-----------------+---------------------------+------------------+| Relevance AI  | Custom     | Custom agent    | Drag-and-drop agent       | Any (API-based)  ||               |            | builders        | builder with full API     |                  |+---------------+------------+-----------------+---------------------------+------------------+| Clay          | $149-800   | Data + enrich   | 75+ provider waterfall,   | Feeds into any   ||               |            | workflows       | Claygent AI research      | sending tool     |+---------------+------------+-----------------+---------------------------+------------------+| Instantly     | $30-97     | Cold email      | 450M+ lead database,      | Email            ||               |            | at scale        | built-in warmup network   |                  |+---------------+------------+-----------------+---------------------------+------------------+| Smartlead     | $39-94     | Deliverability- | Unlimited mailboxes,      | Email            ||               |            | focused sending | AI warmup engine          |                  |+---------------+------------+-----------------+---------------------------+------------------+| Salesforge    | $48-96     | Multi-channel   | Agent Frank for LinkedIn  | Email, LinkedIn  ||               |            | sequences       | + email combined          |                  |+---------------+------------+-----------------+---------------------------+------------------+

Platform Selection Decision Framework

START  |  vDo you need a full autonomous agent (minimal human involvement)?  |  YES --> Budget > $5K/mo?  |         |  |         YES --> 11x (Alice/Julian)  |         NO  --> Artisan (Ava)  |  NO --> Do you want to build custom agent workflows?          |          YES --> Relevance AI (or n8n + LLM)          NO  --> Do you need enrichment + list building?                    |                    YES --> Clay (feed into any sender)                    NO  --> Do you need a managed AI SDR service?                              |                              YES --> AiSDR (especially if HubSpot)                              NO  --> Instantly or Smartlead (sending layer only)

START  |  vDo you need a full autonomous agent (minimal human involvement)?  |  YES --> Budget > $5K/mo?  |         |  |         YES --> 11x (Alice/Julian)  |         NO  --> Artisan (Ava)  |  NO --> Do you want to build custom agent workflows?          |          YES --> Relevance AI (or n8n + LLM)          NO  --> Do you need enrichment + list building?                    |                    YES --> Clay (feed into any sender)                    NO  --> Do you need a managed AI SDR service?                              |                              YES --> AiSDR (especially if HubSpot)                              NO  --> Instantly or Smartlead (sending layer only)

Key Metrics Benchmarks

+-------------------------------+-------------+-------------+| Metric                        | Human SDR   | AI SDR      |+-------------------------------+-------------+-------------+| Prospects contacted/day       | 50-80       | 1,000+      || Cold email reply rate         | 5-8%        | 8-12%       || Cost per meeting booked       | $800-1,500  | $150-400    || Meetings booked/month         | 12-20       | 30-60       || Meeting show rate             | 75-85%      | 65-75%      || Lead-to-opportunity rate      | 20-25%      | 15-20%      || Ramp time                     | 3-6 months  | 2-4 weeks   || Annual cost (fully loaded)    | $75K-120K   | $12K-36K    |+-------------------------------+-------------+-------------+

+-------------------------------+-------------+-------------+| Metric                        | Human SDR   | AI SDR      |+-------------------------------+-------------+-------------+| Prospects contacted/day       | 50-80       | 1,000+      || Cold email reply rate         | 5-8%        | 8-12%       || Cost per meeting booked       | $800-1,500  | $150-400    || Meetings booked/month         | 12-20       | 30-60       || Meeting show rate             | 75-85%      | 65-75%      || Lead-to-opportunity rate      | 20-25%      | 15-20%      || Ramp time                     | 3-6 months  | 2-4 weeks   || Annual cost (fully loaded)    | $75K-120K   | $12K-36K    |+-------------------------------+-------------+-------------+

Important: AI SDRs win on volume and cost. Human SDRs win on conversion quality and complex deal navigation. The best teams combine both.

Section 2: The 4-Week AI SDR Deployment Program

Week 1: Foundation (Signal Setup + List Building)

Day 1-2: ICP Definition and Signal Configuration

Define your ICP with scoring criteria:

TIER 1 (Score 80-100) - Auto-enroll in sequence  - Company size: 50-500 employees  - Revenue: $5M-50M ARR  - Industry: SaaS, fintech, e-commerce  - Tech stack: Uses Salesforce/HubSpot + Slack  - Hiring signal: Posted SDR/AE roles in last 90 days  - Funding signal: Raised Series A-C in last 12 months
TIER 2 (Score 50-79) - Review before enrolling  - Meets 3 of 5 firmographic criteria  - Has at least 1 intent signal  - No disqualifying factors
TIER 3 (Score 0-49) - Nurture or disqualify  - Meets fewer than 3 criteria  - No intent signals detected

TIER 1 (Score 80-100) - Auto-enroll in sequence  - Company size: 50-500 employees  - Revenue: $5M-50M ARR  - Industry: SaaS, fintech, e-commerce  - Tech stack: Uses Salesforce/HubSpot + Slack  - Hiring signal: Posted SDR/AE roles in last 90 days  - Funding signal: Raised Series A-C in last 12 months
TIER 2 (Score 50-79) - Review before enrolling  - Meets 3 of 5 firmographic criteria  - Has at least 1 intent signal  - No disqualifying factors
TIER 3 (Score 0-49) - Nurture or disqualify  - Meets fewer than 3 criteria  - No intent signals detected

Day 3-4: Enrichment Waterfall Setup

Build a Clay table (or equivalent) with cascading data providers:

Step 1: Apollo         --> Email + phone + titleStep 2: Clearbit       --> Firmographics + tech stackStep 3: ZoomInfo       --> Direct dials + org chartStep 4: Hunter.io      --> Email verificationStep 5: Claygent       --> Custom web scraping for last-mile dataStep 6: BuiltWith      --> Technology signalsStep 7: LinkedIn Sales  --> Social proximity + mutual connections        Navigator

Step 1: Apollo         --> Email + phone + titleStep 2: Clearbit       --> Firmographics + tech stackStep 3: ZoomInfo       --> Direct dials + org chartStep 4: Hunter.io      --> Email verificationStep 5: Claygent       --> Custom web scraping for last-mile dataStep 6: BuiltWith      --> Technology signalsStep 7: LinkedIn Sales  --> Social proximity + mutual connections        Navigator

Target: 80%+ email match rate across your ICP list. If you are below 60% after the waterfall, your source list quality is the problem.

Day 5: Build Initial Prospect List

Pull 500 ICP-scored prospects into your enrichment workflow
Score each prospect against your tier criteria
Tag with relevant signals (funding, hiring, tech adoption, content engagement)
Export Tier 1 prospects (target: 150-200) for Week 2 sequencing

Week 2: Content (Sequence Creation + Personalization)

Day 6-7: Persona-Based Email Variants

Create 3 email variants per buyer persona. Each variant needs:

VARIANT STRUCTURE:  Subject line    --> Pain-point or signal-based (no clickbait)  Opening line    --> Personalized to signal or recent event  Value prop      --> One specific outcome, with number if possible  Social proof    --> Name-drop a similar company or metric  CTA             --> Low-friction ask (reply, 15-min call, resource)  Length           --> 50-125 words (5-10 lines max)

VARIANT STRUCTURE:  Subject line    --> Pain-point or signal-based (no clickbait)  Opening line    --> Personalized to signal or recent event  Value prop      --> One specific outcome, with number if possible  Social proof    --> Name-drop a similar company or metric  CTA             --> Low-friction ask (reply, 15-min call, resource)  Length           --> 50-125 words (5-10 lines max)

Example persona matrix:

+------------------+--------------------+---------------------+--------------------+| Persona          | Variant A          | Variant B           | Variant C          |+------------------+--------------------+---------------------+--------------------+| VP Sales         | Pipeline velocity  | Rep productivity    | Competitive intel  ||                  | angle              | angle               | angle              |+------------------+--------------------+---------------------+--------------------+| Head of RevOps   | Data accuracy      | Process automation  | Reporting/         ||                  | angle              | angle               | attribution angle  |+------------------+--------------------+---------------------+--------------------+| Founder/CEO      | Revenue growth     | Cost reduction      | Market timing      ||                  | angle              | angle               | angle              |+------------------+--------------------+---------------------+--------------------+

+------------------+--------------------+---------------------+--------------------+| Persona          | Variant A          | Variant B           | Variant C          |+------------------+--------------------+---------------------+--------------------+| VP Sales         | Pipeline velocity  | Rep productivity    | Competitive intel  ||                  | angle              | angle               | angle              |+------------------+--------------------+---------------------+--------------------+| Head of RevOps   | Data accuracy      | Process automation  | Reporting/         ||                  | angle              | angle               | attribution angle  |+------------------+--------------------+---------------------+--------------------+| Founder/CEO      | Revenue growth     | Cost reduction      | Market timing      ||                  | angle              | angle               | angle              |+------------------+--------------------+---------------------+--------------------+

Day 8-9: AI Personalization Layer

For each prospect, generate a personalized opening line using:

Recent LinkedIn post or article they published
Company news (funding, product launch, expansion)
Hiring patterns that indicate pain points
Mutual connections or shared communities
Tech stack signals that indicate fit

Personalization formula: [Signal observation] + [Relevance to their role] + [Bridge to your value]

Day 10: Conditional Branching Logic

Build sequences with conditional paths:

                    Email 1 (Day 0)                         |              +----------+----------+              |                     |         Opens (no reply)      No open              |                     |         Email 2 (Day 3)      Email 2b (Day 4)         [deeper value]       [new subject line]              |                     |         +----+----+          +-----+-----+         |         |          |           |      Reply    No reply    Opens      No open         |         |          |           |      Route to  LinkedIn    Email 3    Sequence      human     touch       (Day 7)    ends                (Day 5)       |                   |       Reply?                Reply?        |                   |     +----+----+              +----+     |         |              |    |   Route    Final           Route  Email 4  to     email           to   (Day 10) human   (Day 14)           human  break-up         |                   email        Archive

                    Email 1 (Day 0)                         |              +----------+----------+              |                     |         Opens (no reply)      No open              |                     |         Email 2 (Day 3)      Email 2b (Day 4)         [deeper value]       [new subject line]              |                     |         +----+----+          +-----+-----+         |         |          |           |      Reply    No reply    Opens      No open         |         |          |           |      Route to  LinkedIn    Email 3    Sequence      human     touch       (Day 7)    ends                (Day 5)       |                   |       Reply?                Reply?        |                   |     +----+----+              +----+     |         |              |    |   Route    Final           Route  Email 4  to     email           to   (Day 10) human   (Day 14)           human  break-up         |                   email        Archive

Week 3: Launch (Sending Infrastructure + Go-Live)

Day 11-12: Domain and Mailbox Setup

Infrastructure requirements:

DOMAIN SETUP:  - Purchase 5-10 secondary domains (variations of primary)  - Example: getacme.com, acmehq.io, tryacme.com, useacme.co  - Set up SPF, DKIM, and DMARC records for each  - Create 2-3 mailboxes per domain  - Total: 10-30 sending mailboxes
WARMUP PROTOCOL:  - Day 1-7:   5 emails/day per mailbox (warmup only)  - Day 8-14:  10 emails/day (mix of warmup + real)  - Day 15-21: 20 emails/day (mostly real sends)  - Day 22-28: 30-40 emails/day (full volume)  - NEVER exceed 50 emails/day per mailbox

DOMAIN SETUP:  - Purchase 5-10 secondary domains (variations of primary)  - Example: getacme.com, acmehq.io, tryacme.com, useacme.co  - Set up SPF, DKIM, and DMARC records for each  - Create 2-3 mailboxes per domain  - Total: 10-30 sending mailboxes
WARMUP PROTOCOL:  - Day 1-7:   5 emails/day per mailbox (warmup only)  - Day 8-14:  10 emails/day (mix of warmup + real)  - Day 15-21: 20 emails/day (mostly real sends)  - Day 22-28: 30-40 emails/day (full volume)  - NEVER exceed 50 emails/day per mailbox

Compliance requirements (2025+ enforcement):

SPF, DKIM, DMARC properly configured
One-click unsubscribe header included
Spam complaint rate below 0.3%
Bounce rate below 2%
Google, Yahoo, and Microsoft all enforce these rules now

Day 13: Sending Platform Configuration

Choose your sending layer:

+-------------------+-------------------+-------------------+| Feature           | Instantly         | Smartlead         |+-------------------+-------------------+-------------------+| Warmup network    | 4.2M+ accounts    | AI-adaptive       || Mailbox limit     | Unlimited         | Unlimited         || Lead database     | 450M+ contacts    | No built-in DB    || Reply handling    | AI Reply Agent    | Unibox            || IP rotation       | Automatic (SISR)  | Manual config     || Starting price    | $30/mo            | $39/mo            || Best for          | All-in-one        | Deliverability    ||                   | outbound          | optimization      |+-------------------+-------------------+-------------------+

+-------------------+-------------------+-------------------+| Feature           | Instantly         | Smartlead         |+-------------------+-------------------+-------------------+| Warmup network    | 4.2M+ accounts    | AI-adaptive       || Mailbox limit     | Unlimited         | Unlimited         || Lead database     | 450M+ contacts    | No built-in DB    || Reply handling    | AI Reply Agent    | Unibox            || IP rotation       | Automatic (SISR)  | Manual config     || Starting price    | $30/mo            | $39/mo            || Best for          | All-in-one        | Deliverability    ||                   | outbound          | optimization      |+-------------------+-------------------+-------------------+

Day 14-15: Soft Launch

Launch to Tier 1 prospects only (100-150 contacts)
Monitor deliverability metrics hourly for the first 24 hours
Check inbox placement (use GlockApps or mail-tester.com)
Watch for bounce rates above 2% and pause if triggered
Target: 95%+ delivery rate before expanding volume

Week 4: Optimize (Measure + Iterate)

Day 16-18: A/B Testing Framework

Test one variable at a time:

PRIORITY TEST ORDER:  1. Subject lines     --> Impact on open rate  2. Opening lines     --> Impact on reply rate  3. CTA type          --> Impact on positive reply rate  4. Send timing       --> Impact on open + reply  5. Sequence length   --> Impact on total conversion  6. Personalization   --> Impact on reply sentiment     depth

PRIORITY TEST ORDER:  1. Subject lines     --> Impact on open rate  2. Opening lines     --> Impact on reply rate  3. CTA type          --> Impact on positive reply rate  4. Send timing       --> Impact on open + reply  5. Sequence length   --> Impact on total conversion  6. Personalization   --> Impact on reply sentiment     depth

Minimum sample size: 100 sends per variant before drawing conclusions.

Day 19-20: Reply Sentiment Analysis

Classify all replies into categories:

POSITIVE (route to human immediately):  - "Tell me more"  - "Can you send details?"  - "Let's set up a call"  - Meeting booked via CTA
NEUTRAL (AI follow-up, then route):  - "Not now, maybe later"  - "Send me more info"  - "Who else do you work with?"
NEGATIVE (remove from sequence):  - "Not interested"  - "Remove me"  - "Wrong person"
OBJECTION (AI handles with playbook):  - "We already have a solution"  - "No budget right now"  - "Need to talk to my team"

POSITIVE (route to human immediately):  - "Tell me more"  - "Can you send details?"  - "Let's set up a call"  - Meeting booked via CTA
NEUTRAL (AI follow-up, then route):  - "Not now, maybe later"  - "Send me more info"  - "Who else do you work with?"
NEGATIVE (remove from sequence):  - "Not interested"  - "Remove me"  - "Wrong person"
OBJECTION (AI handles with playbook):  - "We already have a solution"  - "No budget right now"  - "Need to talk to my team"

Day 21: ICP Scoring Adjustment

Review first 3 weeks of data and adjust:

Which firmographic traits correlate with positive replies?
Which signals predicted meetings booked?
Which personas converted at the highest rate?
Which Tier 2 prospects should be upgraded or downgraded?

Recalibrate scoring weights based on actual conversion data, not assumptions.

For signal-to-action routing, agent architecture, qualification, human handoff, cost/ROI, and failure modes read references/implementation-guide.md when designing or debugging an AI SDR deployment.

Examples

User says: "Set up an AI SDR" → Result: Agent asks pipeline need, CRM, and budget; recommends platform (11x, Artisan, AiSDR) and 4-week program; outlines 30-second checklist (ICP, enrichment 80%+, 3 email variants, signal-to-action, sending, handoff, CRM, reply classification); sets speed-to-lead (P0 <5 min, reply handoff <5 min).
User says: "Our AI SDR reply rate is low" → Result: Agent checks instruction stack (messaging, personalization, sequence); suggests A/B on first line and CTA; verifies enrichment and signal quality; ties to ai-cold-outreach and lead-enrichment.
User says: "When to use AI SDR vs human SDR?" → Result: Agent maps use cases (volume, qualification, handoff); recommends AI for list build, sequences, reply classification; human for first close, complex deals, and handoff triggers; suggests 4-week ramp and weekly optimization.

Troubleshooting

Low meeting conversion → Cause: Weak qualification or wrong handoff. Fix: Define qualification criteria and handoff triggers; ensure positive-reply-to-handoff <5 min; train on objection handling; review reply sentiment accuracy.
Deliverability issues → Cause: Warmup, volume, or authentication. Fix: Run deliverability checklist (SPF, DKIM, DMARC, unsubscribe, bounce <2%, warmup 14–28d, <50/mailbox); test inbox placement (GlockApps, mail-tester).
Tool swap didn't help → Cause: Instruction stack or context missing. Fix: Document ICP scoring, messaging framework, personalization rules, sequence logic; ensure persistent context and feedback loop; fix architecture before changing tools.

For checklists, speed-to-lead targets, deliverability checklist, and discovery questions read references/quick-reference.md.

Related Skills

ai-cold-outreach - Deep dive on cold email copywriting, deliverability, and multi-channel sequencing
lead-enrichment - Detailed enrichment waterfall design, data provider selection, and Clay workflows
sales-motion-design - End-to-end sales motion architecture from first touch to close
gtm-engineering - Technical GTM infrastructure, API integrations, and workflow automation
solo-founder-gtm - Lean AI SDR deployment for founders doing everything themselves
gtm-metrics - Pipeline metrics, attribution modeling, and ROI tracking frameworks

Source and attribution

Source:tech-leads-club/agent-skillsinpackages/skills-catalog/skills/(gtm)/ai-sdrat commit120b676

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

Ai Sdr

AI SDR Skill

Before Starting

Section 1: AI SDR Landscape (2025-2026)

What AI SDRs Actually Do

Platform Comparison Table

Platform Selection Decision Framework

Key Metrics Benchmarks

Section 2: The 4-Week AI SDR Deployment Program

Week 1: Foundation (Signal Setup + List Building)

Week 2: Content (Sequence Creation + Personalization)

Week 3: Launch (Sending Infrastructure + Go-Live)

Week 4: Optimize (Measure + Iterate)

Examples

Troubleshooting

Related Skills

Source and attribution

More from tech-leads-club/agent-skills

Nx Workspace

Nx Run Tasks

Nx Generate

Nx Ci Monitor

Excalidraw Studio

Chrome Devtools

More in Marketing & Sales

Social

Sms

Site Architecture

Signup

Seo Audit

Schema