AI Connector Hub

Find people matching: Role: [ROLE, e.g., "VP of Sales", "Head of Marketing"] Industry: [INDUSTRY, e.g., "B2B SaaS", "Fintech"] Company size: [RANGE, e.g., "200-1,000 employees"] Geography: [REGION, e.g., "France and Germany"] Why now: [SIGNAL, e.g., "raised funding in the last 30 days"] Exclude anyone already in [LIST NAME, e.g., "our CRM"], and return up to [NUMBER, e.g., "50"] results as a table: name, title, company, location, and verified email.

From my lists [ATTACH LIST A] and [ATTACH LIST B], combine them, remove any duplicate people or companies, and save the result as a new list called [LIST NAME, e.g., "Q4 Combined Targets"]. Tell me how many duplicates you removed and why.

Find [PERSON OR COMPANY NAME, e.g., "Jane Doe at Acme" or "acme.com"], and enrich their [FIELD, e.g., "verified email and mobile number"]. Return the result as a single record: name, title, company, the enriched fields, and any recent signal worth knowing before I reach out.

From my list [ATTACH LIST], show me just [FILTER, e.g., "the VPs in Germany", "accounts with over 500 employees"], and save that as a new list called [NEW LIST NAME]. Tell me what share of the original list that is.

From my list [ATTACH LIST], enrich for: [FIELD 1, e.g., "verified email"] [FIELD 2, e.g., "mobile number"] Skip anything already fresh, and tell me which fields were reused from before, which were freshly enriched, and which couldn't be found at all.

At [ACCOUNT NAME, e.g., "Acme"], or from my list [ATTACH LIST] of target accounts, find the buying committee: Roles: [ROLES, e.g., "CRO, VP of Sales, and RevOps lead"] Max per company: [NUMBER, e.g., "3"] Return the result as a table: name, title, company, and verified email, and flag anyone already in our CRM.

Find companies that look like [EXAMPLES, e.g., "our closed-won deals from last quarter" or "acme.com and nexlify.io"]. Exclude [EXCLUDE, e.g., "anyone already in our CRM"], and return up to [NUMBER, e.g., "25"] results as a table: company name, industry, size, and which traits matched.

Find people in roles similar to [CONTACT NAME, e.g., "Bob Johnston, VP Marketing at Foxx"]. Exclude anyone already in [LIST NAME, e.g., "our CRM"], and return up to [NUMBER, e.g., "25"] results as a table: name, title, company, verified email, and which traits matched.

Pull everything you have on [ACCOUNT OR CONTACT NAME, e.g., "Acme" or "Jane Doe at Acme"]: firmographics, recent signals, the mapped buying committee, and any history we have with them in [CRM NAME, e.g., "Salesforce" or "HubSpot"]. Tell me what's changed since the last time we looked.

Size the market: Industry: [INDUSTRY, e.g., "mid-market fintech"] Geography: [REGION, e.g., "France and Germany"] Tell me the count, then build the result as a list called [LIST NAME, e.g., "DACH Fintech TAM"], excluding [EXCLUDE, e.g., "anyone already in Current Customers"], and turn on tracking so I know what's new each month.

Someone signed up with [IDENTIFIER, e.g., "a personal email, j.doe@gmail.com"]. Resolve who they are, enrich their professional details, and tell me if they're ready to route to sales.

From my list [ATTACH LIST], check for leads stalling on incomplete or wrong contact data, and tell me which ones are ready to route to sales, and why.

Find a live hiring signal: Accounts: [COMPANY TYPE, e.g., "mid-market fintech"], or from my list [ATTACH LIST] Timeframe: [TIMEFRAME, e.g., "the last 30 days"] Return the result as a table: company name, role hired, date, and the right contact to reach out to there, ranked by how closely it matches our target customer profile.

Find a live funding signal: Accounts: [COMPANY TYPE, e.g., "mid-market fintech"], or from my list [ATTACH LIST] Timeframe: [TIMEFRAME, e.g., "the last 30 days"] Return the result as a table: company name, round, amount, date, and the right contact to reach out to there, ranked by how closely it matches our target customer profile.

Find a live job-change signal from my list [ATTACH LIST], over the timeframe [TIMEFRAME, e.g., "the last 30 days"]. Return the result as a table: name, old role, new role, and new company, and tell me if any of them are an existing champion.

From my list [ATTACH LIST], turn on tracking, check in [FREQUENCY, e.g., "weekly"], and tell me who joined, who left, and what changed, and whether any of the changes affect deals already open in our CRM.

From my list [ATTACH LIST], tell me who joined, who left, and what changed over the past [TIMEFRAME, e.g., "30 days"], and which of those changes are worth flagging to the account owner.

Find companies matching: Industry: [INDUSTRY, e.g., "B2B SaaS"] Geography: [REGION, e.g., "United States"] Size: [RANGE, e.g., "500-2,500 employees"] Why now: [SIGNAL, e.g., "hired an exec in the last 30 days"] Return up to [NUMBER, e.g., "50"] results, and add them to [LIST NAME, e.g., "my target accounts"].

From my list [ATTACH LIST], find [ROLES, e.g., "the VP of Sales"] at each company, and enrich them for [FIELD, e.g., "verified email and mobile"]. Return the result as a table: company, name, title, and the enriched fields, and flag any companies where no match was found.

From my list [ATTACH LIST], find who has a [SIGNAL TYPE, e.g., "funding round, executive hire, or hiring surge"] this week, then draft a personalized outreach message to each of them, referencing that signal, in a tone that matches [TONE, e.g., "a peer-to-peer intro, not a pitch"].

From my list [ATTACH LIST], enrich for [FIELD, e.g., "verified email and mobile"], then tell me which of them have a live signal, a funding round, a hiring surge, or a leadership change, ranked by how long they've been sitting cold.

Build a paid acquisition audience: Industry: [INDUSTRY, e.g., "B2B SaaS"] Geography: [REGION, e.g., "United States"] Size: [RANGE, e.g., "200-1,000 employees"] Exclude [EXCLUDE, e.g., "anyone already in our CRM"], and return up to [NUMBER, e.g., "1,000"] results, ready to export to [AD PLATFORM, e.g., "Google Ads or LinkedIn Ads"].

From my list [ATTACH LIST], tell me which accounts have a live signal, a funding round, a hiring surge, or a leadership change, and how to prioritize outreach for our [CAMPAIGN NAME, e.g., "Q1 ABM"] campaign, ranked by fit to our target customer profile.

Build a campaign target list that looks like [EXAMPLES, e.g., "the recipients of our most successful ABM campaign" or "our closed-won deals from last quarter"]. Exclude [EXCLUDE, e.g., "anyone already in Current Customers"], and return up to [NUMBER, e.g., "500"] results as a list called [LIST NAME], with the specific traits that drove each match.

Find who to target with a [SIGNAL TYPE, e.g., "funding-round signal"] email campaign: Accounts: [COMPANY TYPE, e.g., "our target accounts"], or from my list [ATTACH LIST] Timeframe: [TIMEFRAME, e.g., "this week"] Return the result as a list called [NEW LIST NAME].

From my [ATTACH LIST] of [FORM NAME, e.g., "our pricing page contact form"] submissions, enrich for [FIELD, e.g., "verified email, title, and company"]. Fill only what's missing, and tell me which are ready to route to sales, and why the rest aren't.

From my [ATTACH LIST] of [EVENT NAME, e.g., "our Q4 product webinar"] sign-ups, enrich for [FIELD, e.g., "verified email, title, seniority, and company"]. Fill only what's missing, and tell me which ones are ready to route to sales, ranked by fit to our target customer profile.

From my list [ATTACH LIST], enrich the contacts for [FIELD, e.g., "verified email, title, and company"], and flag any with missing or outdated details that could be blocking a deal.

From my list [ATTACH LIST], manage territory assignment by splitting it into territories by [CRITERIA, e.g., "region", "company size", "industry"], with no overlaps or gaps. Tell me if any accounts in the list are already assigned in our CRM.

From my list [ATTACH LIST], enrich for [FIELD, e.g., "verified email and mobile"]. Skip anything still fresh, and tell me which fields were reused from before, and which were freshly enriched.

From my list [ATTACH LIST], check for the most stale or incomplete segments, then re-enrich those for [FIELD, e.g., "verified email and mobile"], and tell me how much that improves our overall data health.

From my list [ATTACH LIST], tell me which segments are the most stale or incomplete right now, as a percentage of the whole, and which segment I should fix first.

From my list [ATTACH LIST], re-sync against current job and company data. Flag anyone who's moved roles or companies, without creating duplicate records, and tell me how many records that affects.

Find people matching: Role: [ROLE, e.g., "VP of Sales"] Industry: [INDUSTRY, e.g., "B2B SaaS"] Geography: [REGION, e.g., "North America"] Size: [RANGE, e.g., "200-1,000 employees"] Split the result into one list per rep, by [CRITERIA, e.g., "territory"], [NUMBER, e.g., "5"] reps in total, with no overlaps.

Pull up everything on [ACCOUNT, e.g., "Acme"], or from my list [ATTACH LIST] of named accounts: recent signals, the mapped buying committee, and any history we have with them in [CRM NAME]. Tell me what's changed since the last time we looked, and what I should do about it.

Resolve [EMAIL, e.g., "j.doe@gmail.com"], or from my list [ATTACH LIST] of personal emails. Who are they, where do they work, and what's their professional email? Return the result as a table: name, company, title, and professional email, and tell me if they're already in our CRM.

Check [ACCOUNT, e.g., "Acme"], or from my list [ATTACH LIST] of target accounts, for any existing customer, former buyer, or partner connection, before I reach out cold, and tell me who to ask internally for an introduction.

From my list [ATTACH LIST], turn on tracking, check in [FREQUENCY, e.g., "weekly"]. Tell me when they change roles or companies, who replaced them, and whether the new company matches our target customer profile.

From my list [ATTACH LIST], show me deals marked closed-lost more than [TIMEFRAME, e.g., "a year ago"], where a [SIGNAL TYPE, e.g., "funding round, buying-committee change, or timing shift"] has happened since, and tell me what specifically changed.

From my list [ATTACH LIST], enroll it into [SEQUENCER NAME, e.g., "Outreach, Salesloft, or HubSpot Sequences"], into the sequence called [SEQUENCE NAME], and confirm how many contacts were enrolled versus skipped.

From my list [ATTACH LIST], add it to [DIALER NAME, e.g., "Aircall"], in priority order by [CRITERIA, e.g., "fit and recent signals"], and tell me how many numbers are missing before I start calling.

From my list [ATTACH LIST], rank by: Fit to: [TARGET CUSTOMER PROFILE, e.g., "B2B SaaS, 200-1,000 employees"] Plus: recent signals, a funding round, a hiring surge, or a leadership change Return the top [NUMBER, e.g., "10"] for today, and tell me why each made the list.

From my list [ATTACH LIST], rank by fit and recent signals, a funding round, a hiring surge, or a leadership change. Return the top [NUMBER, e.g., "10"] for today, and tell me why each made the list.