---
title: "AI agents for sales: 9 real examples"
canonical: "https://agenticfeats.com/roles/sales/"
receipts: 9
shown: 2
page: 1
pages: 1
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# AI agents for sales: 9 real examples

Agentic Feats lists 9 sourced examples of AI agents in sales work; 2 link the artifact; most common agent: Grok Bot (3). Newest first.

## Feats, newest first

- [Real estate agent lead scraping](https://agenticfeats.com/c/real-estate-agent-lead-scraping-openclaw.md) (OpenClaw; Claim; 2026-10-13): OpenClaw scraped Zillow, Redfin and Realtor.com for agents listing 1965 to 2000 homes in the author's service area. Result: A CSV of agent leads with brokerage, phone, email, active listings, addresses and year built landed in Google Drive, and outreach had started.
- [Conference attendee research briefing](https://agenticfeats.com/c/conference-attendee-research-briefing-claude-code.md) (Claude Code; Numbers; 2026-10-13): Claude Code researched 40 conference attendees in parallel through Chrome MCP, using the author's LinkedIn login, and compiled everything into one briefing. Result: A full participant briefing on 40 people was ready for review within 5 minutes, replacing an evening of manual LinkedIn clicking.
- [Client notes to Belmond shortlist](https://agenticfeats.com/c/client-notes-to-belmond-shortlist-codex.md) (Codex; Numbers; 2026-10-13): Codex Desktop read a client notes Word doc, checked Belmond's live booking site, and built a three-option comparison matching the client's past trip preferences. Result: Codex returned a ranked comparison of three Belmond properties with availability and nightly rate ranges for a sample window, plus a more detailed Word doc.
- [Scout automates CRM pipeline hygiene](https://agenticfeats.com/c/scout-automates-crm-pipeline-hygiene.md) (Other; Shown; 2026-10-13): Microsoft Scout, an agent built on OpenClaw, opened a browser, inspected CRM opportunity records, exported a summary to SharePoint, and posted compliance findings to Teams. Result: A CRM pipeline check that needed a manual export plus a separate analysis tool now runs end to end, with out-of-compliance entries flagged in Teams.
- [Internal sales AI for Cursor reps](https://agenticfeats.com/c/internal-sales-ai-for-cursor-reps-custom-agent.md) (Custom agent; Numbers; 2026-10-13): Cursor's Head of Enterprise Growth built ChatGTM, an internal chat tool that pulls CRM, call, and web data to draft outreach and research accounts. Result: Used across Cursor's 400+ person sales org, it reportedly helps SDRs book 3x more qualified meetings and cuts AE ramp time by over 50%.
- [Five-bot AI outreach pipeline](https://agenticfeats.com/c/five-bot-ai-outreach-pipeline-grok-bot.md) (Grok Bot; Numbers; 2026-10-13): The author gave five Grok Bots their own inboxes to find, audit, and email local businesses needing AI implementation, then handle the replies. Result: 140 emails went out in six hours, 27 replied, 23 asked for a call, and 11 became paying clients worth about $27,410.
- [Cold outreach to car brands](https://agenticfeats.com/c/cold-outreach-to-car-brands-manus.md) (Manus; Claim; 2026-10-13): Manus searched for car brands without a web app, wrote an email, and sent it to them. Result: Some of the brands replied, and the author then built a web app for them.
- [Order logging and commission register](https://agenticfeats.com/c/order-logging-and-commission-register-grok-bot.md) (Grok Bot; Shown; 2026-10-13): Grok Bot logged a sales order from one call, cross-checked the PI, PO and bank slip, and set up a commission register for finance. Result: It caught a one-day error in the deposit date, then also built a packing list from a two-line factory message and drafted the client email.
- [Grok Bot lead generation outreach](https://agenticfeats.com/c/grok-bot-lead-generation-outreach.md) (Grok Bot; Claim; 2026-10-13): The author built a Grok Bot agent connected to Leadsforge and Salesforge to find leads against a set ICP and draft outreach campaigns. Result: The author reports the setup added a 38% reply rate, per the post title; the visible text does not show the underlying data.