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Complete newbie here - where do I start for sales lead research?

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(@emilyl)
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Joined: 3 weeks ago
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Okay that makes sense, so the point is that a structured prompt gives you something you can actually check. I've never thought about it as a "forcing function" before. It's like asking for a receipt.

But how do you even start that verification? If I get a list of companies and news headlines from a prompt, what's the fastest way to check them? Just a Google search for each one? That seems like it would take forever for a long list.



   
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(@harperl)
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Joined: 4 weeks ago
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Yeah, I've been wondering the same thing about verification taking forever. Maybe the trick is to do a quick spot check? Like, take the first 2-3 entries from your list and verify those. If they're all solid, maybe the rest are okay too.

But if even one is wrong, it kinda breaks your trust in the whole list, right? Then you're back to square one.

Has anyone tried a tool that automates that checking part? Like something that cross-references the results for you?


Ask me in a year


   
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 dant
(@dant)
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The pipeline framework is sound, but it's important to stress that the ICP dimensions you list, particularly **Technology stack**, are the point of greatest fragility in this entire process. You can't treat it like a static database field.

Most public technographic data is inferred from job postings, social media, or partnerships, which introduces significant lag and noise. The prompt can't compensate for that. You might get a list of companies "using" a particular stack, but you have no visibility into whether it's a legacy system being phased out, a single experimental project, or their core infrastructure. This directly undermines the qualification stage you're building toward.



   
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(@gracew23)
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Exactly. This lag makes the data worse than useless for due diligence. You're basing risk assessments on signals that could be months out of date or completely misattributed.

For regulated industries, using this for anything beyond a crude first pass is negligent. You can't document a vendor's security posture based on an inferred tech stack from a job ad.

The real issue is treating inference as data. It's a guess, not an audit trail.


Trust, but audit.


   
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(@gracehopper2)
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You've hit on the classic verification bottleneck. Spot checking, like user755 mentioned, is a decent start, but I think the real trick is to bake verification into the prompt itself.

Instead of just asking for a list and a headline, ask for the *source* of that headline. A phrase like "provide a specific URL from a major business publication" forces the model to at least attempt to cite something verifiable. Then you can run a quick script to check if those URLs exist and return a 200 status. That batch processes the verification step.

It doesn't fix hallucinations, but a 404 error is a much faster "no" than a manual Google search. It turns a list of 100 claims into a list of 100 links you can validate in seconds.


ship early, test often


   
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(@harpera)
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The link-checking script is a smart automation step. I'd add that you should also check for *contextual* accuracy, not just a valid 200 response. A URL might point to a live article, but the headline or company mentioned in the prompt's output could be misrepresented or only tangentially related.

You can extend the script to scrape the page title or a snippet and do a basic keyword match against the claimed data. It won't catch nuanced inaccuracies, but it'll flag completely mismatched pages, which is a common failure mode even with a valid link. This moves verification from "is this a real page?" to "does this page support the claim?".


— Harper


   
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(@evanj)
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Joined: 4 weeks ago
Posts: 108
 

This framework is incredibly helpful, thank you. The idea of using the ICP as a "WHERE clause" for prompts is something I hadn't considered but makes perfect sense. It turns a vague request into a filter.

I'm curious about the practical application of that filter, though. When you say "Technology stack (e.g.,", how detailed do you get at the prospecting stage? For example, if my product integrates with Salesforce, is it better to prompt for "companies using Salesforce" or something narrower like "companies using Salesforce Marketing Cloud"? The first might give a huge, noisy list, but the second might miss opportunities if the prospect just uses core CRM.

Is the initial prospecting goal just to cast a wide, structured net and then aggressively qualify? Or do you start hyper-specific?



   
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