Your AI Agent Doesn't Find Enough Leads
There are usually four reasons an AI Agent is not finding enough leads yet: the Agent is still new, your ICP is too narrow, the signals do not overlap with your market, or the signals are not active enough.
1 / Your Agent was launched very recently
A new AI Agent may need time before it finds the strongest lead sources. Looply runs Agents regularly, but it may not have explored every selected signal in the first few hours or first 1-2 days.
If the Agent was launched less than 3 days ago, wait 1-2 more days before making major changes. This gives the Agent enough time to scan more signals and gives you a clearer view of the first results.
2 / Your ICP is too narrow
If your Agent has been running for more than a few days and the number of leads is still very low, your ICP may be too restrictive.
This usually happens when the search scope is too small or when the qualification filters remove nearly everyone the Agent finds.
What to try: broaden your job titles with adjacent roles, add a few related industries, remove mandatory keywords when possible, and consider switching from High Precision to Discovery if you need the Agent to explore a wider market.
3 / Your signals are not relevant to your ICP
A signal can be real and still not be useful for your ICP. If the people engaging with that signal do not look like your target customers, the Agent will have very little qualified volume to work with.
For example, if you sell to finance leaders in Northern Europe, a small unrelated LinkedIn company page in another market may not be a strong signal. Even if the page has activity, your ICP may rarely appear there.
Replace weak signals with pages, competitor profiles, posts, keywords, creators, or companies where your ICP is more likely to spend attention.
4 / Your signals are not active enough
Some signals do not create many leads because they are quiet. A LinkedIn page, profile, or post that rarely publishes or receives engagement gives the Agent less activity to detect.
Broad keywords can also make results noisy. Terms like sales or marketing often produce broad results without enough context. Specific terms usually work better because they point to a clearer problem, audience, or market.