---
title: "Keep Peers, Vendors and Recruiters Out of Your Leads | traxy"
description: "Why LinkedIn leads fill up with other consultants, vendors and recruiters, and how to filter them out with exclusions, better sources and fit feedback."
canonical: "https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads"
last_updated: "2026-11-13"
---

# Keep Peers, Vendors and Recruiters Out of Your Leads | traxy

> Why LinkedIn leads fill up with other consultants, vendors and recruiters, and how to filter them out with exclusions, better sources and fit feedback.

[Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [Buyer Intent & Signals](https://traxy.ai/blog/topics/buyer-intent-and-signals) 

Buyer intent

# How to keep other consultants, vendors and recruiters out of your LinkedIn leads

Why LinkedIn leads fill up with other consultants, vendors and recruiters, and how to filter them out with exclusions, better sources and fit feedback.

By the traxy teamPublished Nov 13, 202619 min read

![How to keep other consultants, vendors and recruiters out of your LinkedIn leads — traxy blog](https://traxy.ai/assets/blog-covers/keep-peers-vendors-recruiters-out-of-leads.jpg)

**In this article**[Why are so many of my LinkedIn leads other consultants, vendors or recruiters, and how do I filter them out?](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#why-are-so-many-of-my-linkedin-leads-other-consultants-vendors-or-recruiters-and-how-do-i-filter-them-out) [Why peers engage with the same posts your buyers do](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#why-peers-engage-with-the-same-posts-your-buyers-do) [How do you find out which kind of noise you have?](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#how-do-you-find-out-which-kind-of-noise-you-have) [Exclusions in lead criteria: titles, locations and company types](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#exclusions-in-lead-criteria-titles-locations-and-company-types) [Picking sources where buyers outnumber peers](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#picking-sources-where-buyers-outnumber-peers) [Fit feedback and re-checking existing leads](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#fit-feedback-and-re-checking-existing-leads) [How do you keep a lookalike out of your outreach?](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#how-do-you-keep-a-lookalike-out-of-your-outreach) [For AI and technical consultants: finding operators, not other AI people](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#for-ai-and-technical-consultants-finding-operators-not-other-ai-people) [An example setup: a RevOps consultancy](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#an-example-setup-a-revops-consultancy) [What are the limits?](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#what-are-the-limits) [FAQ](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#faq) [Related reading](https://traxy.ai/blog/keep-peers-vendors-recruiters-out-of-leads#related-reading) [Open product docs](https://docs.traxy.ai/) 

**TL;DR:** Your LinkedIn leads fill up with other consultants, vendors and recruiters because they engage with the same posts your buyers do. In traxy, filter them out with exclusions and Required criteria in Lead criteria, sources your buyers follow, signals about the buyer's problem, Bad fit feedback with a reason and a re-check of active leads, then confirm each lead's company type through research in the campaign before anything sends.

## Why are so many of my LinkedIn leads other consultants, vendors or recruiters, and how do I filter them out?

**Because peers engage with the same LinkedIn posts your buyers do: a post about your field draws the people who work in it, a hiring post draws recruiters and a post about your category draws the vendors who sell into it. You filter them out by describing who buys in Lead criteria, with exclusions and Required criteria for the facts that separate a buyer from a lookalike, by tracking sources your buyers follow, by writing signals about your buyer's problem instead of your own craft, and by marking any miss Bad fit with a reason and re-checking your active leads after you save new criteria.**

Engagement tells you someone cares about a topic. It doesn't tell you which side of the deal they sit on. A comment on a post about messy CRM data can come from a sales leader who lives with the mess or from three consultants who clean it up for a living. Both look like interest. Only one of them can hire you.

In traxy, a person only becomes a lead with an ICP match of at least 50% against your lead criteria, and every lead shows the post or comment behind it ([qualification](https://docs.traxy.ai/discovery/qualification) ). traxy checks whether a company is a plausible buyer, but it only keeps recruiters, vendors and peers out reliably when your lead criteria say so. You set the rules, and every engager is checked against them. This guide covers those rules in order:

1.  **Find out which kind of noise you have.** Read a sample of recent leads and note who they are and where they came from.
    
2.  **Tighten Lead criteria.** Choose how strict matching is, make the facts that separate buyers from peers Required, and add exclusions for the roles and company types that sell what you sell.
    
3.  **Change the sources.** Track the people and posts your buyers follow, and write Intent signals about the problem your buyer posts about.
    
4.  **Record misses and clean up.** Mark peers who slip through as Bad fit with a reason, turn repeated reasons into exclusions, and re-check active leads after each change.
    
5.  **Check again before outreach.** Ask the campaign to confirm the company type through research on each lead, test it on sample leads and read the launch review before you approve.
    

This page is about lookalikes: people who resemble buyers but sell to them, compete with you or recruit from them. To keep known accounts out, such as existing customers, named competitors and people who opted out, see [how to keep customers, competitors and opt-outs out of your LinkedIn prospect list](https://traxy.ai/blog/exclude-customers-competitors-from-prospecting) .

A clean list matters because the leads feed the outreach. traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Autopilot here means the campaign runs on its own after you approve it, or you approve every message (see [LinkedIn outbound](https://traxy.ai/linkedin-outbound) ). A peer left in your leads can end up in a campaign, so the filter has to work before launch.

## Why peers engage with the same posts your buyers do

People engage with posts about their own work. If you sell a service, the people who post, comment and like most about that service are often the people who provide it. Five patterns cause most of the noise:

-   **Posts about your craft draw your craft.** A post about outbound copy, RevOps tooling or AI agents gets comments from the people who do that work for a living. They share tips, agree loudly and tag each other. Your buyer reads the post and moves on, or likes it once.
    
-   **Hiring posts draw recruiters.** Any post that mentions a new role, a team build-out or a tough hire pulls in recruiters and staffing agencies offering to help. If one of your signals is "company is hiring for sales", expect recruiters next to every real buyer.
    
-   **Category posts draw vendors.** A post about a software category or a buyer problem gets comments from vendors who sell into it, their sales reps, their partners and their own staff cheering on the company page.
    
-   **Your own network is full of peers.** If you have posted about your field for years, many of your followers and connections are people in the same field. Your own posts, your profile viewers and your followers are useful sources, but they start with more peers in them than a buyer's network would.
    
-   **Titles look alike.** A Head of Growth at a three-person agency and a Head of Growth at a software company you sell to share a title, not a company. Headlines such as "Helping founders scale" say nothing about which side of the deal someone is on.
    

Loose matching adds to it. When the rules let titles only influence the score, more lookalikes clear the bar, and a jump in lead volume can come with more poor fits.

Who shows up

Where they usually come from

Main fix in traxy

Other consultants and agencies

Posts about your craft, your own followers, creators in your field

Exclusions in Lead criteria, Intent signals about the buyer's problem

Vendors and their staff

Category posts, vendor company pages, competitor posts

Blocklist for named vendors, company criteria, research on each lead

Recruiters and staffing agencies

Hiring posts, hiring signals

Title and industry exclusions

Lookalike titles at the wrong company

Any source

Required company criteria, Prioritize quality

## How do you find out which kind of noise you have?

Read 20 to 30 of your newest leads before you change any settings, and sort each one into buyer, peer, vendor, recruiter or other. Then look at where each non-buyer came from. The pattern tells you which setting to change.

1.  **Open Leads and pick recent leads.** Recent leads reflect your current criteria and sources.
    
2.  **Open each lead's Signals tab.** It shows the recorded observations and available source links, and the label (Warm, Related, Activity or ICP match) that says how strong the evidence is ([intent signals](https://docs.traxy.ai/discovery/signals) ).
    
3.  **Note the source.** Was it a tracked profile, a single post, a company page, your own LinkedIn activity or a discovery run on a topic?
    
4.  **Read the pattern.**
    

-   If most of the peers come from one or two sources, the sources are the problem. Change who you track.
    
-   If peers come from many sources but share a role, such as "consultant" or "recruiter", add exclusions in Lead criteria.
    
-   If the titles look right but the companies are wrong, make company criteria Required.
    
-   If the posts behind the leads are about your craft rather than your buyer's problem, change your Intent signals.
    

traxy's docs give the same rule: change topics when the results point to the wrong problem or audience, and revise Lead criteria when the people themselves are wrong ([intent signals](https://docs.traxy.ai/discovery/signals) ). Doing this sort once gives you a baseline to compare against after each change.

## Exclusions in lead criteria: titles, locations and company types

Use Lead criteria to say who buys, and exclusions to say who never does. Open **Targeting** > **Lead criteria**. People criteria cover roles, departments, seniority and locations. Company criteria cover size, industry, revenue and funding stage, and company keywords and niches live under **Intent signals** ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ).

### Choose how strict matching should be

Under **How strict should trax be?** you pick one of two modes ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ):

-   **Prioritize quality** requires matches to your selected job titles, locations and company sizes. Use it when peers with the wrong title keep getting in.
    
-   **Find more opportunities** requires a location match and uses titles, sizes and industries to influence the score. It brings in more people, and with them more lookalikes.
    

Both modes check whether a company is a plausible buyer. If your leads are mostly peers, start with Prioritize quality and loosen it later if the list gets too thin.

### Make the fact that separates buyers from peers Required

Turn on **Advanced targeting** to set individual criteria as **Required** or **Preferred**. Required criteria must match; Preferred criteria influence fit without being mandatory ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ).

The fact that separates a buyer from a peer is often the company, not the title. A sales leader who buys your RevOps service and a RevOps consultant who competes with you can both write "Revenue Operations" in their headline. What differs is that one works at a software company with 50 people and the other runs a two-person consultancy. Make that company fact Required, such as industry or company size, and leave the title Preferred if your buyers write vague headlines.

### Add exclusions for each kind of lookalike

Use the exclusion controls to rule out unwanted titles, locations or company characteristics ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ). Some starting points:

-   **Other consultants and agencies:** exclude titles such as Consultant, Advisor, Freelancer or Agency Owner, and the consulting or agency niche you work in, unless you also sell to it.
    
-   **Vendors who sell what you sell:** exclude their industry only if your buyers aren't in the same one, and exclude the company characteristics of firms that sell to the same buyers you do. If your buyers and your competitors share an industry, as software companies selling to software companies often do, don't exclude the industry: block the vendors by domain and let research on each lead sort the rest.
    
-   **Recruiters:** exclude recruiting titles such as Recruiter, Talent Acquisition and Sourcer, and the staffing and recruiting industry, unless you sell to recruiting firms. If you are the recruiting firm, the problem runs the other way.
    
-   **Students and interns:** exclude them if your offer needs someone with a budget.
    

Review exclusions next to the values you include so they don't conflict ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ). Excluding "agency" while you target marketing agencies works against itself.

### Block the firms you can name

Exclusions cover whole groups, including people at firms you've never heard of. The **Blocklist** covers the ones you can name. In **Settings** > **Blocklist**, add company domains or people by LinkedIn profile URL, one at a time or as a CSV. Blocklisted people and people at blocked companies are excluded from normal lead results. Lead CSV exports don't use the blocklist as an exclusion rule, so review an export audience separately ([blocklist](https://docs.traxy.ai/workspace/blocklist) ).

### Change criteria from trax or your AI chat

You can also describe the problem to trax, the traxy agent, for example "remove recruiters and other RevOps consultants from my leads", and review the change it proposes. Anything that changes your setup shows an approval card first. From Claude, ChatGPT, Cursor, Codex or Grok, the traxy MCP can read and update your ICP, including exclusions, with revision history.

## Picking sources where buyers outnumber peers

Exclusions remove peers after traxy finds them. Better sources mean fewer peers to remove. The rule is simple: track the people your buyers follow, not the people you follow.

### Track buyer-side creators, not your own peers

In **Targeting**, under **Tracking**, you can track people, single posts and company pages ([tracking](https://docs.traxy.ai/discovery/tracking) ). Each tracked profile gets a relationship such as competitor, teammate, influencer, investor or custom. The choice of who to track decides who engages.

Sources that draw peers

Sources that draw buyers

Well-known people in your own field who post tips about your craft

Creators who write for your buyer's job, such as a CFO who posts about closing the books

A competitor's posts about its own methods

A competitor's posts about the buyer's problem or a customer story

A vendor's company page, which draws its staff and partners

Your customers' own posts, where their peers engage

Posts announcing a new role, which draw recruiters

A single post where a buyer describes the problem you fix

For a longer list of who to track and how to judge each one, see [who to track on LinkedIn to find leads](https://traxy.ai/blog/who-to-track-on-linkedin-for-leads) .

### Use single posts and company pages carefully

A single post by URL is useful when one buyer's post draws a thread of other buyers. Before you confirm **Find leads**, review the candidate scope: candidate counts describe people to evaluate, not a guaranteed number of qualified leads ([tracking](https://docs.traxy.ai/discovery/tracking) ).

Tracking a company page finds people who engage with that page's posts, not every employee or every buyer at the company. A vendor's company page draws a lot of its own staff, so put that vendor's domain on the Blocklist when you track its page.

When you track a competitor, its commenters often mix buyers with recruiters and other vendors. [How to find leads from competitor LinkedIn posts](https://traxy.ai/blog/how-to-build-linkedin-competitor-watchlist)  covers that source end to end.

### Write Intent signals about the buyer's problem

Open **Targeting** > **Intent signals** to review the Signal Brief that guides discovery. Describe the problems, topics and situations connected to your offer, specific enough to recognize in public activity, and use **Relevance rules** to describe positive evidence and its weight ([intent signals](https://docs.traxy.ai/discovery/signals) ).

Write the topics the way a buyer would post about them. "CRM data quality" draws people who fix CRM data. "Our forecast was off again because reps don't update deals" draws the sales leader who has that problem. The second wording is less elegant and works better.

### Prune sources that keep sending peers

After a few weeks, compare your sources by how many of their leads you would contact. Pause or remove tracked profiles that mostly bring in peers; you can restore or resume them later ([tracking](https://docs.traxy.ai/discovery/tracking) ). The same person can have several recorded signals without becoming several leads, so check the people in **Leads** rather than counts across posts.

## Fit feedback and re-checking existing leads

When a peer slips through, mark them **Bad fit** with a reason, and when the same reason keeps appearing, turn it into an exclusion and re-check your active leads. Bad fit records your judgment and doesn't directly rewrite the person's score ([qualification](https://docs.traxy.ai/discovery/qualification) ).

### Mark Bad fits with a reason you can act on

Open the lead, choose **Good fit** or **Bad fit** and add the reason. Write reasons you can turn into rules later:

-   "Recruiter at a staffing agency"
    
-   "Consultant, sells the same service"
    
-   "Works at a vendor in our category"
    
-   "Right title, company too small"
    

Bad fits get their own built-in lead view, apart from your active work. Mark real buyers **Good fit** too, so the record shows both sides. Fit feedback is separate from **Done**, **Snooze** and **Client**, which organize your work ([qualification](https://docs.traxy.ai/discovery/qualification) ).

### Turn repeated reasons into exclusions

Once a week, read your Bad fit reasons. If "recruiter" shows up five times, add the recruiting titles and industry to your exclusions. If "company too small" keeps coming up, make company size Required. Bad fit records your judgment and doesn't directly rewrite the person's score. To change who qualifies next, change your Lead criteria, Intent signals or sources, and review any targeting change traxy proposes.

### Re-check active leads after you save

New criteria apply to the people traxy qualifies from then on. To clean up the leads you already have ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ):

1.  Save your changes in **Targeting** > **Lead criteria**.
    
2.  When traxy offers to check your active leads, choose **Check leads**, or **Keep all leads** to leave them unchanged.
    
3.  Wait for the check and review the number that no longer match.
    
4.  Confirm moving those leads to **Done** only if you want that result, or choose **Keep them**.
    

Saving criteria or running the check doesn't move leads by itself. Leads that can't be checked stay where they are, and a changed count needs another review before you confirm. Moving mismatches to **Done** keeps them available, so a tighter ICP doesn't delete anyone ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ).

## How do you keep a lookalike out of your outreach?

Add a second check inside the campaign: ask it to research each lead for the fact that separates a buyer from a peer, skip the leads where it can't confirm that fact, and read the launch review before you approve. Profile data is thin for some people. Research on each lead catches what Lead criteria can't see.

1.  **Build the campaign.** Open **Outbound** and choose **Create campaign**, or ask trax. Choose the lead audience from a shared view ([create a campaign](https://docs.traxy.ai/campaigns/create) ).
    
2.  **Ask the research question.** A campaign researches each lead for the facts you ask for before any message is prepared. Ask the question the profile didn't answer: "Does this company sell consulting services, or does it buy them?", "Is this person in-house or at an agency?", "Does this company run a sales team of its own?". If a required research fact isn't found, the lead stays in traxy, and in the campaign you can choose to skip it.
    
3.  **Test on sample leads.** Ask trax to test the plan. A test prepares research and previews without sending anything. Check whether the research supports each claim, and look at the skipped results as well as the drafts ([review and launch](https://docs.traxy.ai/campaigns/review-and-launch) ).
    
4.  **Read the launch review.** Before launch you see who will join, who is skipped because another unfinished campaign holds them or a completed campaign contacted them before, the sender, the message steps and the delivery mode ([review and launch](https://docs.traxy.ai/campaigns/review-and-launch) ).
    
5.  **Choose the delivery mode.** Approve every message in the review queue, or let the approved campaign send on its own.
    

That is the second half of traxy. Leads are grouped by signal and each group gets its own personalized message variant, prepared from the research. The LinkedIn and email sequences send from your own connected sender accounts, set up under **Outbound** > **Sender accounts**, with the limits, active hours and ramp-up controls shown for each account ([sender accounts](https://docs.traxy.ai/outreach/senders) ). Once you approve the launch, the campaign runs on autopilot, or you keep approving each message. Replies, unsubscribe requests and hard bounces stop active outreach ([sequences](https://docs.traxy.ai/outreach/sequences) ). You can also run the campaign from your AI chat through the traxy MCP, which waits for your yes before anything sends or launches. More on the outreach side: [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) .

If you want to check a list without contacting anyone, run a research-only campaign. It records the findings without sending.

## For AI and technical consultants: finding operators, not other AI people

Write your signals about the operating problem your buyer has, not about AI, and exclude the people who build what you build. Posts about AI agents, automation tools and new models draw other builders, vendors and job seekers. The owner or operations leader who would hire you posts about the bottleneck itself: orders typed in by hand, quotes that take days, a month-end close that drags.

Three checks keep an AI consultant's leads on the buyer side:

1.  **Is the post about their problem or your tools?** Leads from posts about model launches, prompt tips and agent frameworks are mostly peers. Move those topics out of your Intent signals and replace them with the bottlenecks your past clients described on a first call.
    
2.  **Does the company run operations or sell technology?** Make industry and company size Required in Lead criteria, set to the industries you serve, and add exclusions for AI engineers, automation consultants and AI or software development agencies ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ). Put competing AI agencies' domains on the Blocklist.
    
3.  **Does the person own the problem?** Owners, COOs, heads of operations and finance leaders own the bottleneck. A developer at a logistics company may comment on the same post, but usually isn't the one who hires a consultant. Ask the campaign to research whether the lead runs the process you would fix, and skip the ones where that isn't found.
    

Then open the first message on the problem they posted about. A first line about re-keying orders from PDFs reads like a reply to them; "we build AI agents" reads like the peers you filtered out. For signal choices, offers and first messages across consulting firms, see [signal-based outbound for consultants](https://traxy.ai/blog/signal-based-outbound-for-consultants) .

## An example setup: a RevOps consultancy

This is an example of how the settings fit together, not a customer result. A two-person RevOps consultancy sells CRM clean-up and forecasting work to software companies with 20 to 200 people. Its first leads are full of other RevOps consultants, CRM vendors' reps and recruiters hiring for sales ops roles.

-   **Matching:** Prioritize quality, with company size and the software industry set to Required under Advanced targeting. Title stays Preferred, because many sales leaders write vague headlines.
    
-   **Exclusions:** titles Consultant, Advisor, Freelancer, Recruiter and Talent Acquisition; the staffing and recruiting industry; consulting firms.
    
-   **Blocklist:** the domains of the CRM vendors and the competing consultancies it knows, uploaded as one CSV.
    
-   **Intent signals:** "forecast misses because deals aren't updated", "reps spend hours on CRM admin", "we're switching CRMs and dreading the migration". Not "RevOps best practices".
    
-   **Tracking:** two creators who write for sales leaders at software companies, and its own customers' posts. Not the three best-known RevOps consultants it follows itself.
    
-   **Feedback:** every miss marked Bad fit with a reason, read on Fridays, with repeated reasons turned into exclusions and a **Check leads** run after each save.
    
-   **Campaign:** research question "Does this company have an in-house sales team using a CRM, and is this person responsible for it?", skip leads where it isn't found, test on sample leads, then launch with approval on every message for the first weeks.
    

## What are the limits?

-   **Exclusions come from your rules.** traxy checks whether a company is a plausible buyer, but it only keeps recruiters, vendors and peers out reliably when your lead criteria say so. You set the rules, and every engager is checked against them. If you don't exclude a group, it can qualify.
    
-   **Exclusions depend on what a profile says.** Vague headlines and missing company details mean some peers will still get through. That's why the campaign check exists.
    
-   **Exclusions can remove buyers.** Consultants who also buy your service, or vendors in the same industry as your buyers, will drop out if you exclude too broadly. Check a sample after every change.
    
-   **Feedback is a record, not a rule.** Bad fit records your judgment and doesn't directly rewrite the person's score. To change who qualifies next, change your Lead criteria, Intent signals or sources, and review any targeting change traxy proposes.
    
-   **Fit is not proof of purchase.** An ICP match says the person and company look like your buyer; the post or comment says what they did. Check both before you reach out.
    
-   **The Blocklist doesn't filter CSV exports.** Review any exported list separately.
    

## FAQ

### Why does my LinkedIn lead list fill up with people who sell what I sell?

Because people engage with posts about their own work. If your sources and signals are about your craft, the people who practice that craft engage most. Track buyer-side creators, write signals about the buyer's problem and add exclusions for your own role.

### Can traxy keep recruiters out?

Yes, once you add recruiting titles such as Recruiter and Talent Acquisition and the staffing and recruiting industry as exclusions in Lead criteria; traxy checks every engager against them. Mark any recruiter who slips through as Bad fit with a reason.

### Should I use the Blocklist or exclusions for competitors?

Both. The Blocklist covers firms and people you can name, by domain or LinkedIn profile URL. Exclusions in Lead criteria cover whole groups, including people at firms you've never heard of.

### Will marking a lead Bad fit stop similar people from showing up?

Bad fit records your judgment and doesn't directly rewrite the person's score. To change who qualifies next, change your Lead criteria, Intent signals or sources, and review any targeting change traxy proposes. Then choose Check leads to clean up your active leads.

### What if some consultants are also my buyers?

Don't exclude the title. Make the company facts that matter Required, such as size or industry, keep the title Preferred, and ask the campaign to research whether each lead buys or sells the service before anyone is contacted.

### Does tightening Lead criteria delete my existing leads?

No. Saving criteria doesn't move leads by itself. If you choose Check leads and confirm, leads that no longer match move to Done, where they stay available.

### Can I change my exclusions from ChatGPT or Claude?

Yes, through the traxy MCP, which can read and update your ICP, including exclusions, with revision history. In the app, trax shows an approval card before it changes your setup.

### What happens to the leads after they are filtered?

They can go into a campaign that researches each lead, groups leads by signal and prepares personalized LinkedIn and email sequences, sent from your own connected sender accounts. You test on sample leads, review the launch and approve it, then the campaign runs, or you approve each message.

## Related reading

-   [Keep customers, competitors and opt-outs out of your prospect list](https://traxy.ai/blog/exclude-customers-competitors-from-prospecting) 
    
-   [How traxy decides who counts as a lead](https://traxy.ai/blog/how-traxy-decides-what-is-a-lead) 
    
-   [Who to track on LinkedIn to find leads](https://traxy.ai/blog/who-to-track-on-linkedin-for-leads) 
    
-   [Find leads from competitor LinkedIn posts](https://traxy.ai/blog/how-to-build-linkedin-competitor-watchlist) 
    
-   [Signal-based outbound for consultants](https://traxy.ai/blog/signal-based-outbound-for-consultants) 
    
-   [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) 
    

[Back to all articles](https://traxy.ai/blog) 

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