--- title: "How to Research a Lead Before a Sales Call | traxy" description: "Research a lead before a sales call: the LinkedIn signal and its date, role, company, account and past meetings, in five minutes from Claude or ChatGPT." canonical: "https://traxy.ai/blog/research-lead-before-sales-call" last_updated: "2026-11-12" --- # How to Research a Lead Before a Sales Call | traxy > Research a lead before a sales call: the LinkedIn signal and its date, role, company, account and past meetings, in five minutes from Claude or ChatGPT. [Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [Prospecting & Outreach](https://traxy.ai/blog/topics/prospecting-and-outreach) Outbound # How to research a lead before a sales call: a five-minute brief from Claude or ChatGPT Research a lead before a sales call: the LinkedIn signal and its date, role, company, account and past meetings, in five minutes from Claude or ChatGPT. By the traxy teamPublished Nov 12, 202619 min read ![How to research a lead before a sales call: a five-minute brief from Claude or ChatGPT — traxy blog](https://traxy.ai/assets/blog-covers/research-lead-before-sales-call.jpg) **In this article**[How do I research a lead before a sales call?](https://traxy.ai/blog/research-lead-before-sales-call#how-do-i-research-a-lead-before-a-sales-call) [What to know before the call: role, company, the signal and its date](https://traxy.ai/blog/research-lead-before-sales-call#what-to-know-before-the-call-role-company-the-signal-and-its-date) [Pulling a lead's signals and the posts behind them in chat](https://traxy.ai/blog/research-lead-before-sales-call#pulling-a-lead-s-signals-and-the-posts-behind-them-in-chat) [Reading the account: who else engaged, the account report, past meetings](https://traxy.ai/blog/research-lead-before-sales-call#reading-the-account-who-else-engaged-the-account-report-past-meetings) [Looking up contact details only when you need them](https://traxy.ai/blog/research-lead-before-sales-call#looking-up-contact-details-only-when-you-need-them) [A five-minute pre-call brief template](https://traxy.ai/blog/research-lead-before-sales-call#a-five-minute-pre-call-brief-template) [How do I prepare for several calls at once?](https://traxy.ai/blog/research-lead-before-sales-call#how-do-i-prepare-for-several-calls-at-once) [Where did this lead come from, and what happens after the call?](https://traxy.ai/blog/research-lead-before-sales-call#where-did-this-lead-come-from-and-what-happens-after-the-call) [What are the limits?](https://traxy.ai/blog/research-lead-before-sales-call#what-are-the-limits) [FAQ](https://traxy.ai/blog/research-lead-before-sales-call#faq) [Related reading](https://traxy.ai/blog/research-lead-before-sales-call#related-reading) [Open product docs](https://docs.traxy.ai/) **TL;DR: To research a lead before a sales call, start from the reason they are on your list: the LinkedIn post, comment, like or profile view behind them and its date. Then check their role and company, read the account around them (other engaged people, past meetings and the conversation that booked the call), and write two or three questions you will ask. Keep only facts you can point to a source for, and write "not found" for the rest. With the traxy MCP connected to Claude or ChatGPT, one chat covers all of it: the AI reads the lead, the signals and posts behind them, recorded engagements and the account report, and it looks up contact details only when you ask. 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 once you approve the campaign, or you approve every message. This guide covers the step after that outreach: the call it booked.** _Checked November 12, 2026 against the [traxy MCP tool catalog](https://docs.traxy.ai/api-reference/mcp/tools) and the traxy docs. traxy wrote this guide. Tool names appear exactly as the docs list them; the tools your connection can use depend on your workspace, role and the permissions you approved._ If you want to research prospects before the first message, start with [AI research agents for B2B sales](https://traxy.ai/blog/ai-research-agents-b2b-sales) : it covers the research brief a campaign uses before outreach and the seven things worth checking before any call. This guide goes further on the call itself. It walks through the exact order to work in, what to ask your AI, what each traxy tool returns, how to read the account and earlier meetings, when to look up contact details, and a brief you can fill in five minutes. ## How do I research a lead before a sales call? Open the post, comment or like that brought the lead to you and note its date, then confirm their role and company, check the account and any earlier conversation, and write the questions you will ask. If a fact has no source you can open, it stays out of the call. Step by step: 1. **Confirm who you are meeting.** Name, title, current company and LinkedIn profile. Compare the title with the calendar invite, because people change roles and the person who books is not always the one who decides. 2. **Find the reason.** The signal that put them on your list: what they posted, commented on, liked or reposted, or that they viewed your profile, and when. This is usually the best way to open the call. 3. **Read what they say in public.** Their recent LinkedIn comments and the posts they reacted to show what they care about this month, in their own words. 4. **Check the company.** What it sells, who it sells to and how big it is, from its own website. Note anything you would replace or connect to. 5. **Read the account.** Who else at the same company is already a lead, what they engaged with, and whether anyone on your team has met the company before. 6. **Read the conversation that booked the call.** The LinkedIn or email thread, so you don't ask a question they already answered. 7. **Write the brief.** One opening line built on the signal, two or three questions, and a short list of things you won't claim because you couldn't check them. In traxy, steps 1 to 6 read data already in your workspace, so you don't open ten tabs. From Claude or ChatGPT with the traxy MCP connected, a single prompt covers most of it: > "I have a call with Dana Reyes from Northwind tomorrow. Find her in my traxy leads, show me the posts and comments that put her on my list with their dates, her recent LinkedIn comments, the account report for Northwind, any past meetings with the company and our last conversation. Then give me three questions to ask, and mark anything you couldn't find as not found." Dana Reyes and Northwind are fictional. Replace them with your lead and company. The rest of this guide explains what the AI does with each part of that prompt, and where to check its answer. ## What to know before the call: role, company, the signal and its date Four facts carry most of a first call: who the person is, what their company does, what they did that brought them to you, and when. Everything else is useful but optional. ### The person and their role Start with the title and how it relates to what you sell. A head of sales who commented on a post about ramping new reps and a sales operations manager who liked the same post are different calls. The first may own the problem; the second may run the tools around it. If the role is new, ask about priorities rather than assume them. In traxy, every lead has an ICP match score against the criteria you set, and only people with a 50%+ match count as leads ([how qualification works](https://docs.traxy.ai/discovery/qualification) ). The score tells you how well the person fits your ideal customer. It is not a probability that they will buy, so use it to decide how much to prepare, not what to promise. ### The company Read the company's own website for what it sells and who it sells to, and keep the customers it names separate from the market it says it targets. Under Leads > Companies you also see its industry, size and, where checked, Meta ads and monthly website visits ([review companies](https://docs.traxy.ai/leads/companies) ). ### The signal and its date Each traxy lead shows the post, comment, like or repost that put them on your list, and profile views can become leads too when you turn them on under Targeting > Signals. Open the lead's Signals tab to see the recorded observation, the source link and the date ([intent signals](https://docs.traxy.ai/discovery/signals) ). traxy labels the strength of the evidence: - **Warm:** a direct signal relevant to your offer, such as a post about the problem you solve. - **Related:** contextual evidence related to your offer. - **Activity:** observed activity with a weaker connection to your offer. - **ICP match:** fit information without a recorded signal of the other types. The date matters as much as the content. A comment from last week about month-end close taking too long is a good opener. The same comment from eight months ago is background, and you should say so ("a while back you commented on...") or leave it out. Engagement is a reason to talk, not proof of a decision, and a missing signal doesn't prove someone has no interest. A good use of the signal, as a fictional example: "You commented on Priya's post about month-end close taking two weeks. Is that still the case, or has it changed since?" A weak one: "I saw you're interested in finance automation." The first can be checked against the source. The second guesses at a motive. For more on turning a signal into words, see [what a research brief should establish](https://traxy.ai/blog/ai-research-agents-b2b-sales) . ## Pulling a lead's signals and the posts behind them in chat Connect the traxy MCP to your AI client once, then ask about any lead in plain English. The AI picks the right tools and shows you what it found. Reads like these don't change anything in your workspace. ### Connect once In traxy, open Integrations and choose Claude, ChatGPT or Grok, or add the remote MCP endpoint `https://api.traxy.ai/api/v1/mcp` to another compatible client. You sign in to traxy with OAuth, choose the workspaces the AI can use and review the permitted actions before approving. A traxy REST API key is not accepted as an MCP credential ([connect an AI client](https://docs.traxy.ai/integrations/ai-clients) ). If more than one workspace is connected, name the workspace in your prompt. The [traxy LinkedIn GTM MCP](https://traxy.ai/linkedin-mcp) page shows what else the connection does. ### What each tool gives you before a call You don't need to call tools by name; the AI does. Knowing them helps you check its answer and ask for the right thing. Tool (as the docs list it) Docs description What it gives you before the call `traxy_find_leads` Search existing workspace leads and return a matching count and ranked sample. Find the person you are meeting among your leads. `traxy_get_lead` Read one visible lead. The lead as you would open it in Leads, where you review role, current company, ICP match and recorded signal. `traxy_list_lead_signals` Read lead signals with their available context. Why they are on your list, with the post and tracked-profile context where available. `traxy_list_lead_engagements` Read recorded engagement summaries. The engagement traxy recorded for this person, so you can see repeat interest rather than one like. `traxy_get_lead_comments` Get a lead's LinkedIn comments. What they wrote, in their own words. Often the best source for your questions. `traxy_read_post` Read post. The post behind a signal, so you know what they were reacting to. ### Prompts that work - "Show me every signal for this lead with its date and source link, newest first." - "Read the post behind her most recent signal and summarize it in two sentences. Then quote her comment on it word for word." - "Has this lead engaged more than once? List the recorded engagements and the topics they share." - "From her recent LinkedIn comments, what problems does she bring up most? Quote the comments you used." Ask for quotes and links as well as summaries. A summary can drift from what the person wrote; a quote with a source link can be checked in ten seconds. The docs say to check the source and date of recorded evidence before referencing it in outreach ([review qualified leads](https://docs.traxy.ai/leads/overview) ), and the same rule holds for a call. If you prefer the app, the same information is on the lead: open Leads, open the person and read the overview, Signals, details and activity tabs. Inside the app, trax, the traxy agent, can answer the same questions in its own chat. More prompts for the whole workflow, from finding leads to the call, are in [how to find and research LinkedIn leads from Claude with traxy](https://traxy.ai/blog/find-linkedin-leads-in-claude-traxy-mcp) . ## Reading the account: who else engaged, the account report, past meetings One person is a conversation; an account is context. Before the call, check who else at the company is already a lead, what the company summary says, whether your team has met them before and what was said in the thread that booked the call. ### Who else at the company engaged `traxy_list_account_reports` lists account-level summaries built from your visible active leads, and `traxy_get_account_report` reads one account with its top visible leads. The REST version of the same report filters by ICP match range and date range, which helps when you only want the strong fits from the last month. In the app, Leads > Companies shows each company's matching people count, best ICP match, latest signal, industry and size, and expanding a row shows its people ([review companies](https://docs.traxy.ai/leads/companies) ). For a wider look at account roll-ups, see [account intelligence from LinkedIn engagement](https://traxy.ai/blog/account-intelligence-linkedin-engagement) . Use what colleagues engaged with to shape your questions, not as an opening line. "Three people on your team have been reading about onboarding new reps" can feel like surveillance. "How does onboarding work for new reps on your team today?" gets the same ground without the discomfort, and your contact may bring the colleagues up on their own. ### Company research `traxy_get_company_research` reads the company research traxy has, which covers Meta ads and website traffic, and `traxy_check_company_research` requests a new check. A missing result, or a company that hasn't been checked, is different from a company with no active ads, so don't read silence as a fact. ### Past meetings If you connect Google Calendar and select the calendars to use, traxy attributes meetings to your leads and companies, and you can record each meeting's outcome, such as Active opportunity, Already a client or Closed won. `traxy_list_meetings` reads those attributed meeting records from chat. Attribution depends on attendee and lead information, so not every event will match ([meetings and outcomes](https://docs.traxy.ai/reporting/meetings) ). If a colleague met the same company in the spring, you want to know before you open with an introduction. How attribution works is covered in [how to track meetings booked from LinkedIn outreach](https://traxy.ai/blog/track-meetings-booked-from-linkedin-outreach) . ### The conversation that booked the call If the call came from a traxy campaign, the thread is in the traxy inbox. `traxy_list_inbox_conversations` and `traxy_get_inbox_conversation` read it from chat, so the AI can tell you what you offered, what they asked and what they agreed to. Re-reading the thread is the cheapest way to avoid asking something they already answered. If you also handle replies from your AI client, see [answering LinkedIn outreach replies from Claude](https://traxy.ai/blog/answer-linkedin-outreach-replies-from-claude) . ### Notes from your team `traxy_list_lead_notes` reads the notes your team has left on the lead. Notes are shared with workspace members, so a teammate's context from an earlier touch shows up here ([tags, notes and assignments](https://docs.traxy.ai/leads/team-work) ). ## Looking up contact details only when you need them Most calls don't need a contact lookup: the invite already has an email, and the call link does the rest. Look up details only when you need them, for example to send a follow-up to a colleague who joins, or to call the person if the video link fails. In traxy, a contact lookup runs only when you ask for it, and it can't guarantee a result. - **Preview first.** `traxy_preview_lead_contact` previews a lookup for one lead, so you see what is already saved and what a lookup would request before anything runs. - **Then request it.** `traxy_enrich_lead_contact` requests the lookup and reads the saved results. The MCP docs say contact lookup needs an explicit request, so the AI should run one only when you ask. Inside the app, trax shows an approval card for contact lookups. - **Check the result.** A lookup is not a guarantee that a usable address or number exists. Check the saved result and its status before you use it, and read the result rather than repeat the request if it is still running ([contact details](https://docs.traxy.ai/leads/contact-details) ). - **Phone is narrower.** Phone lookup applies only to eligible leads. - **You can save what you already have.** If the lead gave you a number in the thread, ask trax to save it. Details you supply are saved as unverified, and enrichment won't overwrite them. If you turn on Auto-Enrich, traxy looks up email for newly qualified leads automatically; it doesn't backfill older leads, which have a separate action. For a single call, the on-request lookup is usually enough. ## A five-minute pre-call brief template Give each part a minute. If a field takes longer than that, write "not found" and move on: an empty field is better than a guessed one. 1. **Minute 1, the person.** Name, title, company, how long in the role if you can see it, ICP match. 2. **Minute 2, the signal.** The post, comment, like or profile view behind the lead, with its date and source link. Quote their comment if there is one. 3. **Minute 3, the company.** What it sells, who it sells to, size, anything from company research you checked. 4. **Minute 4, the account.** Other leads at the company and what they engaged with, past meetings and their outcomes, the thread that booked the call, team notes. 5. **Minute 5, the plan.** One opening line, three questions, one thing you will not claim. The brief itself: - **Lead:** name, title, company, LinkedIn profile - **Fit:** ICP match and the one reason the role matters for what you sell - **Signal:** what they did, the date, the source link, and their words if they commented - **Company:** what it sells and to whom, from its own site - **Account:** other leads at the company, latest signal, past meetings and outcomes - **Conversation so far:** what you offered, what they asked, what they agreed to - **Opening line:** one sentence built on the signal - **Questions:** two or three, starting with the problem they posted or commented about - **Don't claim:** anything you couldn't check A prompt that fills it from chat: > "Fill this pre-call brief for my call with this lead, using only what traxy has: lead, fit, signal with date and source link, company, account, conversation so far, opening line, three questions, and what not to claim. Quote comments word for word. Write not found for any field you can't support, and don't look up contact details." When you are happy with the brief, ask the AI to save it as a note on the lead with `traxy_add_lead_note`. That is a write to your workspace, so check the text first. The note is then there for whoever handles the next step. A filled example, fictional from top to bottom: - **Lead:** Dana Reyes, VP Finance, Northwind (software, about 120 people). ICP match 82%. - **Signal:** commented on a post about month-end close on October 28: "We're at 11 days and the board wants 5." - **Account:** two other leads at Northwind, a controller who liked the same post and a RevOps lead who engaged with a post about billing tools. No past meetings. - **Conversation so far:** replied to the second LinkedIn message, asked whether you work with companies on their current ERP. - **Opening line:** "You mentioned the board wants a five-day close. Where does the time go today?" - **Questions:** Which steps take longest? Who owns the close besides you? What did you try already? - **Don't claim:** that they are evaluating tools, or anything about budget. ## How do I prepare for several calls at once? Put the leads you are meeting into one saved view and run a research-only campaign on it. A traxy campaign researches each lead for the facts you ask for before any message is prepared, and a research-only campaign records the findings without sending anything ([create a campaign](https://docs.traxy.ai/campaigns/create) ). 1. **Group the leads.** Tag the leads you are meeting this week, filter Leads by that tag and save it as a shared view. Campaigns use shared views as their audience. 2. **Describe the research.** In Outbound > Campaigns, or by asking trax, name the facts you want for each call: what the company sells, recent hiring for the roles you support, a funding round with its date, the tools the company uses. 3. **Test it.** A test on sample leads shows the research with nothing sent, so you can fix the brief before it runs on the whole view. 4. **Read the findings before each call.** When a fact isn't found, the lead stays in traxy and you can choose to skip it in the campaign. A missing fact is worth knowing before you talk. Hiring, funding, job changes and tool changes come from this research on each lead, not from a live event feed, so they show up only when the research finds them. For the research brief in detail, see [AI research agents for B2B sales](https://traxy.ai/blog/ai-research-agents-b2b-sales) . ## Where did this lead come from, and what happens after the call? The call is the middle of the workflow, not the start. traxy finds the person, researches them and runs the outreach that leads to the call, and the same data you read before the call came from those steps. ### How traxy finds the lead traxy finds high intent leads from LinkedIn activity: people who post, comment on or like posts about the problem you solve, people who view your profile, and people who engage with the profiles, single posts and company pages you add under Tracking, such as competitors and creators. You can also search 71M+ scanned LinkedIn likes, posts and comments in plain English with social intent search. Each person is checked against your ICP, only a 50%+ match becomes a lead, and every lead keeps the post or comment behind it. That source is why your pre-call brief can start with a real reason instead of a guess. ### How the outreach runs You put leads into a campaign through a shared view. The campaign can research each lead for the facts you choose, groups leads by signal and prepares a personalized LinkedIn and email sequence for each group, sent from your own connected sender accounts ([sender accounts](https://docs.traxy.ai/outreach/senders) ). You test it on sample leads with nothing sent, then the launch review shows who joins, who is skipped, the sender, the steps and the delivery mode ([review and launch](https://docs.traxy.ai/campaigns/review-and-launch) ). After you approve the launch, the campaign runs on autopilot, or you approve every message in a review queue. Replies, unsubscribes and hard bounces stop the sequence, and replies land in one inbox. You can run all of it from Claude or ChatGPT through the traxy MCP too, and the AI waits for your yes in chat before anything sends or launches. The outreach half is covered in [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . ### After the call - **Record the outcome.** If the meeting is attributed, record its outcome in Outbound > Meetings so your counts reflect what happened. - **Update the lead.** Ask the AI to mark the lead good, done, snoozed or client with `traxy_apply_lead_action`, and add a note with what you learned. - **Look for the next person.** If your contact named a colleague who decides, check the account report for that person before you ask for an introduction. ## What are the limits? - **traxy reads what is in your workspace.** The MCP reads your leads, their recorded signals and engagements, account reports, meetings, notes and inbox. It is not a full biography, and these reads cover people who are already leads in your workspace. - **Signals outside LinkedIn come from research.** Hiring, funding, job changes and tool changes appear only when research on each lead finds them. - **The AI can summarize wrongly.** Ask for quotes and source links, and open the source before you repeat a fact on the call. - **Contact lookups can come back empty.** A lookup runs when you ask and may not find a usable email or number. - **Meeting attribution is not complete.** It depends on attendee and lead information, so a missing meeting doesn't prove there was none. - **Access depends on your connection.** Workspace roles, product access and the permissions you approved decide which tools your AI can use. Seeing a tool in the catalog doesn't grant it in every workspace. - **Preparation is not a promise.** A good brief makes the call more relevant. It doesn't guarantee a next meeting or a deal. ## FAQ ### How long should pre-call research take? About five minutes for a first call, using the template above. If the lead is in traxy, most of that time goes to reading the signal and the account rather than finding them. ### Can Claude or ChatGPT research a lead before a call? Yes, with the traxy MCP connected. The AI reads the lead, the signals and posts behind them, recorded engagements, the lead's LinkedIn comments and the account report from your workspace, and builds a brief from them. Ask it to quote and link its sources so you can check them. ### What should I research before a discovery call? The person's role, the company's offer and customers, the signal that brought them to you with its date, the account around them and the conversation that booked the call. Turn those into two or three questions that start from the problem they posted or commented about. ### Does the traxy MCP look up emails or phone numbers on its own? No. Contact lookup needs an explicit request. You can preview what a lookup would do with `traxy_preview_lead_contact`, then request it, and a lookup can't guarantee a result. ### Can I see who else at the company engaged? Yes. Account reports summarize your visible active leads by company and list the top leads at one account. In the app, Leads > Companies shows the matching people count, best ICP match and latest signal for each company. ### Can I prepare for many calls at once? Yes. Put the leads in a shared view and run a research-only campaign: it researches each lead for the facts you name and records the findings without sending anything. ### Does researching a lead in chat send anything? No. Reading leads, signals, engagements and account reports changes nothing and sends nothing. Campaign launches and messages need your approval, and from an AI client the AI waits for your yes in chat before anything sends. ### Where do the leads I am calling come from? From LinkedIn activity: posts, comments, likes, profile views and engagement with the profiles, posts and company pages you track, plus social intent search. Only people with a 50%+ ICP match become leads, and each keeps the post or comment behind it. ## Related reading - [AI research agents for B2B sales: what a research brief should establish](https://traxy.ai/blog/ai-research-agents-b2b-sales) - [Account intelligence from LinkedIn engagement](https://traxy.ai/blog/account-intelligence-linkedin-engagement) - [How to find and research LinkedIn leads from Claude with traxy](https://traxy.ai/blog/find-linkedin-leads-in-claude-traxy-mcp) - [Can I answer my LinkedIn outreach replies from Claude?](https://traxy.ai/blog/answer-linkedin-outreach-replies-from-claude) - [How to track meetings booked from LinkedIn outreach](https://traxy.ai/blog/track-meetings-booked-from-linkedin-outreach) - [The traxy LinkedIn GTM MCP](https://traxy.ai/linkedin-mcp) - [LinkedIn and email outbound with traxy](https://traxy.ai/linkedin-outbound) [Back to all articles](https://traxy.ai/blog) ## Keep reading [All Prospecting & Outreach guides](https://traxy.ai/blog/topics/prospecting-and-outreach) [Lead generation12 min read ## LinkedIn Prospecting (2026): How to Prospect on LinkedIn Step by Step, With Message Examples & Signals That Tell You Who to Contact First How to prospect on LinkedIn step by step: profile, ICP, list building, message examples, signals, niche markets, tools and every outreach guide we publish. Updated Nov 12, 2026Read article](https://traxy.ai/blog/linkedin-prospecting) [Outbound17 min read ## How to organize LinkedIn leads so your team knows who to contact next: views, Snooze, Done and exports Organize LinkedIn leads so your team knows who to contact next: built-in views, saved filters, Snooze, Done, Client, tags, bulk actions, exports and recovery. Updated Nov 13, 2026Read article](https://traxy.ai/blog/organize-linkedin-leads-views-filters) [Outbound16 min read ## How to route LinkedIn leads to the right sales rep, with the reason each one qualified Route LinkedIn leads to the right sales rep by territory, segment or owner: one saved view per rep, a route to Slack or the CRM, and why each lead qualified. Updated Nov 13, 2026Read article](https://traxy.ai/blog/route-linkedin-leads-to-right-rep) 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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