--- title: "25 Claude and ChatGPT Prompts for LinkedIn GTM | traxy" description: "25 Claude and ChatGPT prompts to find high intent LinkedIn leads, research each one and run LinkedIn and email outreach with the traxy MCP, after your yes." canonical: "https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm" last_updated: "2026-11-12" --- # 25 Claude and ChatGPT Prompts for LinkedIn GTM | traxy > 25 Claude and ChatGPT prompts to find high intent LinkedIn leads, research each one and run LinkedIn and email outreach with the traxy MCP, after your yes. [Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [LinkedIn Lead Generation](https://traxy.ai/blog/topics/linkedin-lead-generation) Lead generation # Claude and ChatGPT Prompts for LinkedIn GTM: 25 Prompts to Find, Research and Reach High Intent Leads 25 Claude and ChatGPT prompts to find high intent LinkedIn leads, research each one and run LinkedIn and email outreach with the traxy MCP, after your yes. By the traxy teamPublished Nov 12, 202621 min read ![Claude and ChatGPT Prompts for LinkedIn GTM: 25 Prompts to Find, Research and Reach High Intent Leads — traxy blog](https://traxy.ai/assets/blog-covers/claude-chatgpt-prompts-linkedin-gtm.jpg) **In this article**[What prompts should I use in Claude or ChatGPT to find LinkedIn leads, research them and run outreach?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#what-prompts-should-i-use-in-claude-or-chatgpt-to-find-linkedin-leads-research-them-and-run-outreach) [Why do generic ChatGPT lead generation prompts fail without a lead source?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#why-do-generic-chatgpt-lead-generation-prompts-fail-without-a-lead-source) [How does a prompt turn into leads and outreach, step by step?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#how-does-a-prompt-turn-into-leads-and-outreach-step-by-step) [Which prompts find high intent leads?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#which-prompts-find-high-intent-leads) [Which prompts review and narrow your ICP and lead criteria?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#which-prompts-review-and-narrow-your-icp-and-lead-criteria) [Which prompts research a lead or account before a call?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#which-prompts-research-a-lead-or-account-before-a-call) [Which prompts build, test and launch a LinkedIn and email campaign?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#which-prompts-build-test-and-launch-a-linkedin-and-email-campaign) [Which prompts handle replies, sequences and campaign performance?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#which-prompts-handle-replies-sequences-and-campaign-performance) [What waits for your yes?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#what-waits-for-your-yes) [How do you write your own prompts that work?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#how-do-you-write-your-own-prompts-that-work) [What are the limits?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#what-are-the-limits) [How do you connect the traxy MCP first?](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#how-do-you-connect-the-traxy-mcp-first) [FAQ](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#faq) [Related reading](https://traxy.ai/blog/claude-chatgpt-prompts-linkedin-gtm#related-reading) [Open product docs](https://docs.traxy.ai/) **TL;DR:** The prompts that work in Claude or ChatGPT for LinkedIn GTM are plain-English requests to a connected lead source, such as “find me founders looking for AEO help”, “tell me about this lead before my call” and “create a campaign for the leads in our founder view”. Connect the traxy MCP first, and 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. Your AI shows what it will do and waits for your yes before anything launches or sends, and once you approve a campaign it runs on its own, or you approve every message. Below are 25 prompts, grouped by job, with what each one does. _Checked November 12, 2026. traxy wrote this guide and makes the traxy MCP. The example prompts come from the traxy docs and product notes, or map to a tool in the public [traxy MCP tool list](https://docs.traxy.ai/api-reference/mcp/tools) . Which tools your AI sees depends on your grant, role, workspace and plan, so the list your client returns is the reference for your connection._ ## What prompts should I use in Claude or ChatGPT to find LinkedIn leads, research them and run outreach? Use short, specific prompts that name the person, the need and the next action, and run them through the traxy MCP so your AI works from real LinkedIn activity instead of guessing. Start with a search (“find me founders looking for help with LinkedIn outbound”), then research (“tell me about this lead before my call”), then a campaign (“build a LinkedIn and email campaign on this view and test it first”). The 25 prompts below follow the order of the work. Copy them, swap in your own audience and offer, and keep the parts in curly braces as the things you fill in: - **Find high intent leads** (prompts 1 to 7): Social Intent Search, your qualified leads, posts on a topic, one post's audience and discovery runs. - **Review and narrow your ICP** (prompts 8 to 10): lead criteria, the Signal Brief and Tracking. - **Research a lead or account** (prompts 11 to 15): signals, engagements, account reports, research on each lead and contact lookups. - **Build, test and launch a campaign** (prompts 16 to 22): audience, research, senders, sequence, test, launch preview and delivery mode. - **Replies, sequences and results** (prompts 23 to 25): the inbox, pausing a sequence and campaign performance. Every prompt works the same way in Claude, ChatGPT, Codex, Cursor and Grok once the traxy MCP is connected. Most of these requests (finding leads, research, setup changes and campaigns) also work in trax, the agent inside the traxy app, so you can start in one place and finish in the other. ## Why do generic ChatGPT lead generation prompts fail without a lead source? Generic prompts fail because Claude or ChatGPT on their own have no list of people who showed interest in what you sell. Ask either one to “find 50 SaaS founders who need outbound help” and you get guessed names, made-up companies or a description of how to search, not leads with a reason to reach out. A prompt can only be as good as the data behind it. Without a connected source, the model can write a persona, brainstorm keywords or suggest a message, but it can't see who liked, commented on or wrote a LinkedIn post about your problem this month, and it can't send anything from your accounts. The longer write-up of where ChatGPT stops on its own is in [what ChatGPT can and can't do for lead generation](https://traxy.ai/blog/chatgpt-for-lead-generation) . **What the traxy MCP adds to the chat:** - **The leads.** traxy finds people from social intent: what they post, comment and like on LinkedIn, who views your profile, and who engages with the competitors, creators, single posts and company pages you track. Only people with a 50%+ match to your ICP count as leads, and each lead shows the post or comment behind it. - **The search.** Social Intent Search covers 71M+ scanned LinkedIn likes, posts and comments in plain English, from your AI chat. - **The research.** Your AI can read a lead's signals, recorded engagements and the posts behind them, plus account reports, and campaigns research each lead for the facts you ask for. - **The outreach.** Campaigns go out over LinkedIn and email from your own connected sender accounts, with a test on sample leads, a launch review and your yes in chat before anything sends. So the prompt stops being “invent me a list” and becomes “show me the people traxy found, tell me why they fit, and prepare the outreach”. That is the difference between a chatbot and a LinkedIn GTM MCP. ## How does a prompt turn into leads and outreach, step by step? Your AI reads your request, picks the matching traxy tool, shows you the result or a preview, and waits for your yes before any step that uses capacity, changes your setup, launches or sends. Here is the order most teams follow: 1. **Connect.** Add the traxy MCP to your AI client, sign in to traxy once in the browser and choose the workspaces it can use. 2. **Check your targeting.** Ask your AI to show your ICP and Signal Brief, then narrow them. These decide who counts as a lead. 3. **Find.** Search social intent, list your qualified leads, qualify one post's audience or start a discovery run. Discovery runs and post qualification ask you to confirm first, because new qualified leads use capacity. 4. **Research.** Read a lead's signals and the posts behind them, request account research, and look up contact details when you ask for them. 5. **Sort.** Mark leads good or bad, tag them and save the ones you want to reach as a shared lead view. Campaigns use shared views as their audience. 6. **Build and test the campaign.** traxy researches each lead for the facts you choose, groups leads by signal with a personalized message variant per group, and prepares a LinkedIn and email sequence. A test runs the plan on sample leads with nothing sent. 7. **Launch.** The launch preview shows who joins, who is skipped (held by another campaign or contacted before), the sender, the steps and the delivery mode. You say yes in the chat, then the campaign runs on its own, or every message waits in a review queue for your approval. 8. **Reply and report.** Ask who replied, approve the answers traxy prepares, and read campaign and lead results in the same chat. You can run many campaigns at once on different signals, for example competitor engagers in one, people posting about your problem in another. For the full walkthrough of each step, read [the LinkedIn GTM MCP workflow](https://traxy.ai/blog/linkedin-gtm-mcp-workflow) . ## Which prompts find high intent leads? Ask for the person and the need in one sentence, and traxy returns people who fit your ICP with the LinkedIn activity behind each one. These seven prompts cover the main ways to find leads from chat. **1\. “Find me founders in the US looking for help with LinkedIn outbound, and show the post or comment behind each one.”** This runs Social Intent Search across 71M+ scanned LinkedIn likes, posts and comments. The documented wording is “find me founders looking for AEO help”; swap in your own role and need. Each person comes with the activity behind them and how well they fit. **2\. “Show five qualified leads from my workspace.”** This is the documented first prompt after you connect. It lists leads traxy already found for you, each labeled Warm, Related, Activity or ICP match, and it is a safe way to check that your AI reaches the right workspace. **3\. “Show me warm leads at software companies.”** This filters the leads you already have instead of finding new ones, so it does not use capacity. Add your own filters, such as company size or location. **4\. “Find posts about hiring a first sales team.”** traxy looks for LinkedIn posts on a topic, or posts similar to one you paste. Use the results to engage, or pick a post and pull its audience with the next prompt. **5\. “Qualify the people who engaged with this LinkedIn post: {post URL}. Tell me what it will use before you start.”** traxy checks the post's engagers against your ICP and keeps the ones who fit. Your AI asks you to confirm first, because new qualified leads count toward your capacity. This works on your own posts, a competitor's or a creator's. **6\. “Discover new leads who are founders discussing their first sales hires.”** This starts a discovery run for new people who fit your ICP and signals. Check the capacity your AI shows, confirm, then review the results in your leads. **7\. “Find people who are hiring for a Head of Sales role.”** The MCP can find people who are hiring. Treat this as a starting list to research. **Tip:** name the need, not only the job title. “Founders” returns a broad list; “founders asking how to hire their first SDR” returns people with a reason to talk to you. For more on this workflow inside Claude, see [how to find and research LinkedIn leads from Claude](https://traxy.ai/blog/find-linkedin-leads-in-claude-traxy-mcp) . ## Which prompts review and narrow your ICP and lead criteria? Ask your AI to read your current ICP and Signal Brief first, suggest changes, and apply them only after you confirm. These settings decide who becomes a lead, so a tighter ICP improves every prompt after it. **8\. “Review our lead criteria and suggest a narrower audience.”** This is a documented trax prompt and works the same through the MCP. Your AI reads the ICP, including exclusions, and proposes changes. The MCP docs ask the AI to read the current version before it updates anything, and fields you leave out stay as they are. **9\. “Show my active ICP and Signal Brief. Suggest three changes so we focus on B2B SaaS founders with 10 to 50 people, and wait for my OK before you update anything.”** The Signal Brief holds the problems, topics and situations that make a lead relevant: buyer pains, product mentions, triggers and keywords. Both the ICP and the Signal Brief keep a revision history. **10\. “Track this LinkedIn profile and tag it as an influencer: {profile URL}.”** This is the documented Tracking prompt. You can list, add, update, pause, remove or restore tracked profiles, and track single posts by URL and company pages by domain. traxy qualifies whoever engages with them. There are no tracking limits on profiles, posts or company pages. Tracking a company page finds people who engage with its posts, not every employee. Profile views are another source of social intent. In the app, Targeting > Signals > LinkedIn activity has a Profile views switch, and traxy picks up profile views of the sender accounts you connect. ## Which prompts research a lead or account before a call? Ask your AI about a lead or company by name, and it reads what traxy recorded: the lead's signals, the engagements and posts behind them, and account reports. For research across many leads, ask traxy to research each one for the facts you need. **11\. “Tell me about {lead name} before my call: their signals, recorded engagements and the posts behind them.”** This maps to the documented MCP use “ask your AI about a lead or company before a call”. You get why the person became a lead and what they engaged with, in their own words. **12\. “Show the account report for {company}, and check what research traxy has on its Meta ads and website traffic.”** Account reports and company research sit in the same chat. Requesting new company research is a separate action from reading what already exists. **13\. “Research these 10 leads: what their company sells, how they handle outbound today and what they posted about recently. Then tell me which ones fit.”** traxy researches each lead in the background. When a fact you asked for isn't found, the lead stays in traxy, and in a campaign you can choose to skip it. **14\. “Look up the work email for this lead.”** From chat, a contact lookup runs only when you ask for it (Auto-Enrich, if you turn it on, covers newly qualified leads), and your AI shows which lead and which contact data first. A queued lookup is not proof it finished, so ask for the result before you repeat it. **15\. “Mark these leads good, tag them “Q4 founders” and save them as a shared view called “Founder view”.”** You can mark leads good, bad, done, snoozed or client, add tags and save a filtered audience as a shared view. Campaigns use shared views, so this is the bridge from research to outreach. Bulk changes are previewed before they apply. ## Which prompts build, test and launch a LinkedIn and email campaign? Ask your AI to build a campaign on a shared view, test it on sample leads, and show you the launch preview. Nothing sends during the test, and the campaign launches only after you say yes in the chat. This is the outreach half of traxy, and it runs from the same chat as lead finding. Every customer can draft, test and launch campaigns, manage sequences and senders, and reply in the inbox from the traxy MCP. How campaigns work in the app is covered on [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . **16\. “Create a campaign for the leads in our founder view.”** This is a documented trax prompt. traxy builds a campaign for that audience: research on each lead, personalized messages and a sending destination. Opening or saving a draft does not launch it. **17\. “Use our shared founder view. Research how each company handles outbound, then draft a short LinkedIn introduction based on the evidence.”** This is the documented “Build with trax” example from [create a campaign](https://docs.traxy.ai/campaigns/create) . traxy researches each lead for those facts before any message is prepared, filters out people who don't fit and groups the rest by signal, with a message variant for each group. If you only want the findings, ask for a research-only campaign; it records findings without sending. **18\. “List my sender accounts and tell me which ones have both LinkedIn and email connected.”** Messages go out from your own connected LinkedIn accounts and mailboxes, each with its limits, active hours and ramp-up. Your AI can list senders, open the connect flow for a new one and assign senders to a sequence. **19\. “Set the sequence: a LinkedIn connection request, a message after they accept, then an email follow-up three days later.”** Sequences mix LinkedIn and email steps, and waits can depend on events like connection acceptance. You can use a saved sequence template or have traxy prepare one. Replies, unsubscribes and hard bounces stop the sequence for that lead. **20\. “Test the plan on 3 sample leads and show me the research and drafts. Don't send anything.”** A test prepares research and message previews without sending outreach. Read whether the research supports each line, and look at the leads it skipped as well as the good drafts. **21\. “Show me the launch preview: who joins, who is skipped and why, which sender, which steps and which delivery mode.”** The preview lists who joins, who is skipped because another campaign holds them or they were contacted before, the sender, the steps and the delivery mode. Campaigns run in priority order, so one lead never gets two campaigns at once. **22\. “Launch it with every message waiting for my approval in the review queue.”** You choose the delivery mode at launch: approve each message in a review queue, or let the approved campaign send on its own. Your yes in the chat is the launch approval. That last choice is what “on autopilot” means in traxy. You test the campaign and approve the launch once, then it runs on its own, or you keep the review queue and approve every message. Either way, nothing goes out before your yes. ## Which prompts handle replies, sequences and campaign performance? Ask who replied, and your AI reads your LinkedIn and email conversations from the traxy inbox, a draft reply is prepared for each, and it sends from your own account only after you approve it in the chat. **23\. “Who replied to my campaigns today? Sort them by interest and prepare an answer for each. Wait for my OK before sending.”** traxy prepares a draft reply for each conversation. The traxy inbox keeps one conversation per lead across LinkedIn and email. A reply you send from the inbox is a separate action from approving a campaign's queued message, and each one waits for your yes. **24\. “Pause the sequence for {lead name}; I will take the conversation from here.”** From chat you can pause, resume or stop a lead's sequence, unsubscribe a lead, archive or mark conversations and add people to your do-not-contact list. **25\. “How did my campaigns do this week, and which tracked posts brought in the most qualified leads?”** Your AI can read campaign performance, aggregate analytics, post analytics with the qualified leads each post brought in, and meetings attributed to traxy leads when Google Calendar is connected. Ask how your tracked posts or leads are doing, then move budget and time toward the signals that bring replies. Leads can also go on to other tools from chat. Ask your AI to create a Webhook, Clay, n8n or Zapier destination and send a selected lead to it; you confirm the destination first, because contact data leaves traxy. ## What waits for your yes? Anything that launches a campaign, sends a message, replies in the inbox, starts discovery that uses capacity or changes your setup waits for your yes in the chat. Your AI shows a preview first, and the traxy docs state that a draft or preview does not authorize execution. Prompt type What happens before it runs Search, list or read leads, research and analytics Runs and shows you the result; nothing changes or sends Discovery run or qualifying a post Your AI asks you to confirm that new qualified leads may use capacity ICP, Signal Brief, Tracking or blocklist change Your AI reads the current version, proposes the change, and you confirm Contact lookup From chat, only on your request Campaign launch Test on sample leads with nothing sent, the launch preview, then your yes One-off message or inbox reply A preview of the recipient and message, then your yes Messages in an approval campaign Each waits in the review queue until you approve it Sending leads to a webhook or other tool You confirm the destination and audience first The rules come from the Confirm actions section of the [traxy MCP tool list](https://docs.traxy.ai/api-reference/mcp/tools) . Inside the traxy app, trax shows the same kind of approval card for setup changes, discovery and contact lookups ([trax overview](https://docs.traxy.ai/agent/overview) ). ## How do you write your own prompts that work? Write one job per prompt, name the audience and the evidence you want, and say where the AI should stop. A prompt that ends with “wait for my OK” or “test it first” keeps you in control of every step that changes something. - **Name the person and the need.** “Heads of RevOps posting about messy CRM data” beats “RevOps leads”. - **Ask for the evidence.** Add “with the post or comment behind each one” so you can judge fit yourself. - **Name the workspace** if you connected more than one. Calls without a workspace go to the default. - **Read before you write.** Ask to see the ICP, the campaign or the sequence before asking for a change to it. - **Test before you launch.** Ask for a test on a few sample leads, then the launch preview, then decide on the delivery mode. - **Check the result.** A queued delivery or lookup is not proof it finished. Ask for the current state before repeating a request. - **Keep a prompt file.** Save the prompts that work for your team, with your ICP and offer filled in, and reuse them each week. In the traxy app, trax also has ready-made suggested prompts for common tasks, which you pick and edit before sending. ## What are the limits? The prompts only work as far as your connection, your data and LinkedIn allow. Here is what they don't do: - **No traxy MCP, no leads.** Claude or ChatGPT alone can't find these people. The leads, research and sending come from traxy. - **Your grant sets the tools.** Your role, workspace access and plan decide which tools your AI sees. A tool in the public catalog isn't a promise that it works in every workspace. - **The MCP doesn't log in to LinkedIn.** The sign-in connects your AI to your traxy workspace. Sending needs sender accounts connected in traxy, and their limits and active hours still apply. - **Lead finding is LinkedIn social intent.** Hiring, funding, job changes and other outside signals come from research on each lead, not a live event feed. - **Fit is not a forecast.** A like or comment shows interest in a topic, and the match score measures fit to your ICP, not the chance that someone buys. - **Sent is sent.** Pausing a campaign stops further work, not messages already delivered. - **No promises.** No prompt can promise meetings, revenue or zero LinkedIn restriction risk. **When a different setup fits better:** if you already have your list and only want your AI to send messages, a send-only LinkedIn MCP server can be enough. If your company's policy rules out AI clients, run the same workflow by hand in the traxy app or through trax, and send leads to your team by Slack, webhook or CSV export. ## How do you connect the traxy MCP first? Open Integrations in traxy, pick Claude, ChatGPT or Grok and follow the steps shown there, or add the remote MCP endpoint `https://api.traxy.ai/api/v1/mcp` to any compatible client. You sign in once in the browser; no API key is needed. 1. **Pick your client.** In traxy, open Integrations and select Claude, ChatGPT or Grok. The ChatGPT entry opens the Codex connection guide. For other clients, use their remote MCP setup with the endpoint above ([connect an AI client](https://docs.traxy.ai/integrations/ai-clients) ). 2. **Sign in and choose workspaces.** Authorize with OAuth, choose a default workspace and any others, and review the permitted actions for each before you approve. A traxy REST API key is not accepted as an MCP credential. 3. **Check the connection.** Ask: “List my authorized traxy workspaces.” Then: “Show five qualified leads from my workspace.” Review the result before you ask for changes or start discovery. An existing connection does not gain new workspaces or permissions on its own, so authorize again when you need more access. Client-by-client steps are in [how to connect LinkedIn to ChatGPT](https://traxy.ai/blog/connect-linkedin-to-chatgpt) , and every MCP job with its tools is in [what the traxy MCP server can do](https://traxy.ai/blog/traxy-mcp-server-capabilities) . The [LinkedIn GTM MCP](https://traxy.ai/linkedin-mcp) page shows the whole product from your AI chat. ## FAQ ### What is the best ChatGPT prompt for finding LinkedIn leads? With the traxy MCP connected, a prompt that names the person and the need works best, for example “find me founders in the US looking for help with LinkedIn outbound, and show the post or comment behind each one”. Without a connected lead source, ChatGPT can only guess names or describe how to search. ### Do these prompts work in Claude and ChatGPT the same way? Yes. The traxy MCP works the same from Claude, ChatGPT, Codex, Cursor and Grok. Most of these requests (finding leads, research, setup changes and campaigns) also work in trax, the agent inside the traxy app. ### Can Claude or ChatGPT send LinkedIn messages for me? Through the traxy MCP, yes, from your own connected sender accounts. Your AI shows what will launch or send and waits for your yes in the chat. After you approve a campaign launch, it runs on its own, or you approve every message in the review queue. ### Who writes the outreach messages? traxy prepares the drafts from the research on each lead and the signal behind it. You review them in the test and, if you choose, in the review queue, and you can ask for a rewrite before anything is approved. ### Can I research a lead without starting a campaign? Yes. Ask your AI about a lead or company before a call, request research on the leads you pick, or run a research-only campaign that records findings without sending. ### Do the prompts use my lead capacity? Searching and filtering the leads you already have does not. Discovery runs and qualifying a post can add new qualified leads, so your AI asks you to confirm before it starts. ### Can I run several campaigns from chat at once? Yes. You can run a campaign per signal, audience or offer. Campaigns run in priority order, so one lead never gets two campaigns at once. ### Do I need a traxy API key to use these prompts? No. The MCP uses a one-time browser sign-in. The REST API is separate and reads leads, signals and engagements from your own code. ## Related reading - [LinkedIn GTM MCP: run traxy from your AI chat](https://traxy.ai/linkedin-mcp) - [LinkedIn and email outreach with traxy](https://traxy.ai/linkedin-outbound) - [The LinkedIn GTM MCP workflow](https://traxy.ai/blog/linkedin-gtm-mcp-workflow) - [What the traxy MCP server can do](https://traxy.ai/blog/traxy-mcp-server-capabilities) - [Find LinkedIn leads in Claude with traxy](https://traxy.ai/blog/find-linkedin-leads-in-claude-traxy-mcp) - [How to connect LinkedIn to ChatGPT](https://traxy.ai/blog/connect-linkedin-to-chatgpt) [Back to all articles](https://traxy.ai/blog) ## Keep reading [All LinkedIn Lead Generation guides](https://traxy.ai/blog/topics/linkedin-lead-generation) [Lead generation12 min read ## LinkedIn Lead Generation (2026): What It Is, Strategy, Tips and Tools for B2B What LinkedIn lead generation is, a 7-step B2B strategy, the 5 main tactics, tips, tools and metrics, plus every LinkedIn lead generation guide we publish. Updated Nov 12, 2026Read article](https://traxy.ai/blog/linkedin-lead-generation-guide-2026) [Lead generation15 min read ## LinkedIn GTM examples: real workflows, from profile viewers to campaigns run from Claude Real LinkedIn GTM workflows, from profile viewers and old posts to campaigns run from Claude: what you set up, what traxy does and where you approve. Updated Nov 13, 2026Read article](https://traxy.ai/blog/linkedin-gtm-examples) [Lead generation16 min read ## Are Your Buyers Active on LinkedIn? How to Check Before You Invest in LinkedIn Outreach How to check if your buyers are active enough on LinkedIn before you invest in outreach: a one-hour test, signs to look for and who it is not a fit for. Updated Nov 13, 2026Read article](https://traxy.ai/blog/are-your-buyers-active-on-linkedin) The right people are already out there. ## Find your warmest leads. _Send them personalized messages._ From relevant interest to personalized outreach. Put traxy to work. 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