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Quality automation, at scale

LinkedIn limits your connection requests, making each one precious. Even worse, LinkedIn searches (including Sales Navigator searches) have up to 20% results that don't fit your filters. Go figure! Botdog's AI pre-screens every lead using your natural language instructions, whether simple (based in New York City) or complex (works in sales, uses Sales Navigator, and has over 5,000 followers). Just describe your ideal prospect in everyday language, and our AI handles the rest.

AI Lead Review illustration

See the Difference

Stop wasting connections on unqualified prospects

Before AI Lead Review

Connecting with everyone

Sending connection requests to anyone who matches basic filters. 80% never respond or aren't actually a fit

Wasting LinkedIn limits

LinkedIn limits you to ~150-200 connections per week (with Premium). Burning through them on people who will never buy

Poor ROI on time

Hours spent on outreach with minimal results because most prospects aren't actually qualified

After AI Lead Review

AI filters before you connect

AI reviews each profile like a human would. Only qualified prospects who match your ideal customer get connection requests

Every connection counts

Use your ~150-200 weekly connections (with Premium) on prospects who actually match your ICP instead of wasting them

Maximum ROI

Spend time only on qualified prospects. Triple your response rates and revenue by targeting better from the start

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Smarter Targeting, Better Results

Make every interaction count. Let AI ensure you're only reaching out to the right people, based on any criteria you can describe in plain English.

Natural Language Filtering

Just type what you're looking for: 'Lead is in sales, based in North America, and uses LinkedIn Premium.' The AI understands and applies your criteria automatically, no complex rules needed.

Save Precious Invites

Don't hit LinkedIn's connection limits with unqualified leads. The AI pre-screens every prospect before outreach, ensuring your limited requests only go to valuable contacts.

Complex Criteria Made Simple

Filter for any combination of factors: role, location, company size, tools used, follower count, activity level, or exclusions like 'not in recruiting' - all using everyday language.

What people say about Botdog

Real stories, real results

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Frequently Asked Questions About AI Lead Review

Get answers to common questions about this Botdog feature

You can describe your ideal customer in plain English (like "Series A SaaS founders who mentioned growth challenges"), and Botdog's AI reviews each profile like a human would. It checks experience, current role, and profile content against your requirements. Every filtered lead includes a detailed explanation of why they didn't qualify.

Yes, you can use both basic LinkedIn filters and complex natural language criteria. The AI reviews each profile as a human would, making context-aware decisions based on the full profile review. This increases reply rates by ensuring you only contact qualified prospects.

The AI follows your specific criteria and provides clear explanations for each decision. It doesn't use some black box machine learning to improve and stays very transparent. It consistently applies the rules and descriptions you provide to filter prospects accurately.

Describe your ideal customer in plain English like "Series A SaaS founders who mentioned growth challenges" and Botdog's AI reviews each profile like a human would. It checks experience, current role, and profile content against your requirements, only sending connection requests to qualified prospects.

Yes, use natural language to define your ideal customer and the AI reviews each profile as a human would, making context-aware decisions. This dramatically increases reply rates by ensuring you only contact qualified prospects who actually match your criteria.

Every filtered lead includes a detailed explanation of why they didn't qualify. The AI is transparent about its decisions, helping you refine your targeting criteria and understand exactly what's being filtered.

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