Atlas can navigate websites like LinkedIn, identify potential contacts based on a query, and click through to extract hidden information like emails, compiling it all into a ready-to-use list without any coding required.

Honeybook built a ChatGPT agent that logs into LinkedIn, searches for candidates based on a job description, and applies nuanced filters (e.g., tenure, location, activity). This automates a time-consuming, multi-step workflow, freeing up the hiring team for higher-value tasks.

Don't just replace human tasks with AI. Deploy AI agents to handle leads your sales team ignores, like small deals or low-scored prospects. This untapped segment, as SaaStr found with a 15% ticket revenue lift, represents significant growth potential by filling a gap in your GTM process that humans create themselves.

Instead of a traditional wide-top sales funnel, create a "martini glass" by using AI to aggressively disqualify most accounts. AI can rapidly analyze historical data to identify the few high-propensity targets, allowing teams to focus their efforts for deeper engagement and higher win rates.

Don't just set and forget your lead scoring AI. Create a separate, time-based agent that analyzes recent closed-won deals. This "meta-agent" can then identify new success patterns and suggest updates to the primary scoring agent's prompt, ensuring your qualification model evolves with live data.

Leverage AI like Claude with a free code editor like Visual Studio to quickly build functional lead-generation tools for your website. You can create things like ROI calculators or brand voice graders to attract prospects without extensive coding knowledge. This technique can also be used for internal efficiency tools.

Create a dedicated AI agent pre-loaded with your company's specific deal qualifiers (budget, timeline, ICP). Feed it discovery call notes, and it can instantly score the opportunity or flag it as disqualified, preventing reps from wasting time on deals that will never close.

Perplexity Computer can identify prospects, find specific contacts (like partnership managers instead of CEOs), research their company's news and personal social media, and draft unique, hyper-personalized emails, automating a complex sales development workflow.

Don't wait for a massive lead list to deploy an outbound AI SDR. If you have a small, high-quality list of initial customers (even just 1,000), use tools like Clay or Artisan to build 'lookalike' audiences. This is a highly effective way to feed your AI with qualified targets early on.