The Agent-Led Growth Playbook: A 10-Minute Inbound Booking, a 46-of-50 AEO Score, and Why First-Party Data Beats Every Signal Tool | The Agents #017
SaaStr created an agent-led growth stack, using AI agents to run go-to-market and getting picked by other people's agents, according to SaaStr. This playbook improves inbound booking and automates most of go-to-market with approvals and guardrails in place.
Original reporting · saastr.com
Read “The Agent-Led Growth Playbook: A 10-Minute Inbound Booking, a 46-of-50 AEO Score, and…” at SaaStr →
How this was written. Awesome B2B wrote this article with a language model from SaaStr’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from SaaStr’s report
- SaaStr developed an agent-led growth playbook using AI agents to run go-to-market and getting picked by other people's agents.
- The company's main GTM agent, 10K, automates most of go-to-market with approvals and guardrails in place.
- SaaStr built The Prospector, a surface where everything in go-to-market lands and gets actioned.
- The agent-led growth playbook involves centralizing inbound, outbound, and support tickets in one queue.
- Using first-party data and AI agents can improve inbound booking and put more care into initial prospect interactions.
SaaStr developed an agent-led growth playbook, which involves using AI agents to run go-to-market and getting picked by other people's agents. At SaaStr, agent-led growth means two different things: using AI agents to run the company's own go-to-market and getting picked by other people's agents.
SaaStr's main GTM agent is 10K, a custom-built agent on Replit connected to more than 30 core GTM tools. 10K automates most of SaaStr's GTM with approvals and guardrails in place, covering inbound and outbound, renewals and contacts, marketing and newsletters, enrichment, and quote-to-cash.
The company also built The Prospector, a surface where everything in go-to-market lands and gets actioned. The Prospector filters noise and ensures responses to everyone, including current customers. To build a similar version, companies can spin up a platform like Replit, connect one tool per function, and phase it in.
SaaStr's agent-led growth playbook also involves centralizing inbound, outbound, and support tickets in one queue. The agent gives each record type a goal and works on it until the goal is met, such as booking a meeting or closing a case. Centralizing improves the agent, allowing it to learn which questions repeat and which patterns get replies.
When a lead comes in, The Prospector runs four chained steps, starting with first-party data before third-party signals. The agent checks what SaaStr already knows about the lead, such as event attendance or newsletter subscription, and then uses enrichment sources like Exa, Sumble, and CoreSignal.
The agent generates a personalized prospectus page for the company, including a written intro and recommended packages. The page has heat mapping, allowing SaaStr to see who viewed the page and for how long. The agent then drafts a personalized email with a custom meeting booker, suggesting who the prospect should meet.
SaaStr's agent-led growth playbook has improved inbound booking, with some leads booking meetings within 10 minutes. The company believes that using first-party data and AI agents can put more care and information into initial prospect interactions than a human could, even including information the prospect may not know.
Questions and answers
What is agent-led growth at SaaStr?
Agent-led growth at SaaStr means using AI agents to run the company's own go-to-market and getting picked by other people's agents.
How does SaaStr's agent-led growth playbook improve inbound booking?
SaaStr's agent-led growth playbook improves inbound booking by using first-party data and AI agents to put more care and information into initial prospect interactions.
What is The Prospector and how does it work?
The Prospector is a surface where everything in go-to-market lands and gets actioned, filtering noise and ensuring responses to everyone, including current customers.
