24 Manus Prompts for Lead Generation & Market Research (2026)

Goal: build me a prospect list of [50] companies that match my ICP.

ICP / hard constraints: industry [SaaS / B2B software], headquartered in [United States or EU], company size [50–500 employees], sells to [target buyer], founded after [year]. Exclude [agencies, resellers, non-target sub-industries].

Sources: use [company directories, official company websites, and public business registers] only. Respect each site's terms and robots.txt; do not access anything behind a login or paywall.

Method: use Wide Research to research the companies in parallel, and the Browser Agent to open each company site and confirm the fields from a real page.

Deliverable: a spreadsheet with these exact columns — Company, Website, Industry, Employee size, Location, Contact name, Contact title, Email, LinkedIn URL, Fit score (0–100), Confidence (High/Med/Low), Source URL.

Audit rules: cite the exact Source URL you took each row from. Leave any field blank rather than guessing. Do NOT fabricate or pattern-guess email addresses — only include an email if it is publicly published on a real page you cite. Tag each row's Confidence. Stop when you have [50] verified rows and add a short sources appendix.

Goal: pull [40] companies from [directory / marketplace, e.g. an industry association member list] that fit my ICP, with a named contact each.

ICP: [industry], [geography], [company size], serving [end market]. Must currently [use / offer / sell] [signal, e.g. an e-commerce checkout].

Sources: start from [the named directory URL], then confirm each company on its own official website with the Browser Agent. Public pages only.

Deliverable: spreadsheet with columns — Company, Website, Industry, Size, Location, Contact name, Role, Email, LinkedIn URL, Fit score, Confidence, Source URL. One row per company.

Audit rules: every row cites the Source URL it came from. Never invent an email or a name; leave blank if not publicly listed. Add Confidence per row. Use Wide Research for speed.

Goal: find [30] [business type, e.g. dental clinics] in [city / region] that match my ICP for [your product].

ICP / constraints: located within [city or radius], [size signal, e.g. 2+ locations or 5+ staff], has a live website, [other qualifier].

Sources: use [public maps listings and the businesses' own websites]. Respect each platform's terms and rate limits; do not scrape anything the terms prohibit.

Deliverable: spreadsheet — Business name, Website, Category, Location, Phone, Contact name, Email, Fit score, Confidence, Source URL.

Audit rules: cite a Source URL per row. Leave Email/Phone blank if not publicly published — do not guess. Tag Confidence. Flag any listing that looks closed or duplicated.

Goal: build a prospect list of every exhibitor / sponsor at [event name and year] that fits my ICP.

Source: the official [event] exhibitor or sponsor page at [URL]. Use the Browser Agent to read the listing and each linked company site. Public pages only.

ICP filter: keep only companies in [industry] of [size], selling to [buyer]; drop the rest.

Deliverable: spreadsheet — Company, Website, Booth/Tier, Industry, Size, Location, Contact name, Role, Email, LinkedIn, Fit score, Confidence, Source URL.

Audit rules: Source URL on every row. Blank over guessed; no fabricated emails. Confidence tag per row. Use Wide Research across the exhibitor list.

Goal: list [25] companies that raised [Seed / Series A] funding in [industry] during [date range], because fresh funding is a buying signal for [your product].

Constraints: round type [x], geography [y], round size [min–max]. Exclude rounds outside the date range.

Sources: [public funding-news outlets and official company/press pages] only. Confirm each round on a real, citable page with the Browser Agent.

Deliverable: spreadsheet — Company, Website, Round, Amount, Date announced, Industry, Size, Location, Contact name, Role, Email, Fit score, Confidence, Source URL.

Audit rules: cite the announcement Source URL per row. Leave contact fields blank if not publicly listed; never fabricate. Confidence tag per row. Sort by Date announced, newest first.

Goal: enrich the attached lead list [upload CSV]. For each row, fill the missing fields from public sources.

Fields to add per company: Website, Industry, Employee size, Location, LinkedIn URL, primary Contact name and Role, publicly listed Email, and a one-line company description.

Method: use Wide Research to enrich rows in parallel; use the Browser Agent to confirm each field on the company's real site. Public pages only; respect site terms.

Deliverable: return the original sheet plus the new columns above, and a Confidence (High/Med/Low) and Source URL column for the enrichment.

Audit rules: cite the Source URL used to enrich each row. Leave a field blank rather than guessing. Do NOT fabricate or guess emails — only include a publicly published address. Do not change my original columns.

Goal: score every lead in the attached sheet [upload] against my ICP so I can work the best-fit accounts first.

Scoring model (weights must sum to 100): industry fit [40], company size fit [25], geography [15], buying signal present [20]. Define each on a 0–100 sub-scale, then compute a weighted Fit score.

Deliverable: add columns — Industry score, Size score, Geo score, Signal score, Fit score (weighted 0–100), Reason (one line), Confidence, Source URL. Sort by Fit score, highest first.

Audit rules: show the sub-scores so the math is auditable. Cite the Source URL behind any signal you scored. If you can't verify a factor, mark it Low confidence and score conservatively — do not invent evidence.

Goal: clean and qualify the attached lead list [upload]. Flag anything that should be dropped before outreach.

Hard disqualifiers: [out of target geography], [too small / too large], [competitor], [already a customer — cross-check against attached customer list], [do-not-contact], and any obviously invalid or dead website.

Deliverable: return the sheet with new columns — Disqualified (Yes/No), Disqualifier reason, Duplicate of (row/domain), Website status (live/dead), Confidence, Source URL. Keep all original rows; do not delete, just flag.

Audit rules: cite the Source URL behind each disqualification. When unsure, flag as Review rather than auto-dropping. Dedupe on company domain and note the kept row.

Goal: for each company in the attached list [upload], identify the likely decision-maker for [your product].

Target roles, in priority order: [e.g. VP Marketing, Head of Growth, Marketing Manager]. Find the current holder from public sources (company site, public LinkedIn, press).

Deliverable: add columns — Contact name, Title, LinkedIn URL, publicly listed Email, Source URL, Confidence. One primary contact per company plus one backup if available.

Audit rules: cite the Source URL for each name and title. Do NOT fabricate emails — leave blank unless a real published address exists. If you cannot confirm a current holder, leave blank and mark Low confidence rather than guessing a name.

Goal: for each account in the attached list [upload], check public sources for buying signals relevant to [your product].

Signals to look for: [recent funding], [hiring for a relevant role], [new tool / tech adoption], [leadership change], [expansion / new market], [public pain point in reviews]. Only count signals from the last [90 days].

Deliverable: add columns — Signal type, Signal detail, Date, Source URL, Confidence. Multiple signals per account allowed (one per row in a linked tab). Sort accounts by number of fresh signals.

Audit rules: every signal cites a dated Source URL. No signal without a citable page. If none found, write "none found" — do not manufacture one.

Goal: build a side-by-side pricing table for these competitors: [Competitor A, B, C, D, E] in the [category] market.

Sources: each competitor's official pricing page only, read live with the Browser Agent. Note the date you captured each price.

Deliverable: spreadsheet — Competitor, Plan name, Monthly price, Annual price, Billing unit (per seat / usage / flat), Key limits, Notable features, Free tier (Y/N), Price captured date, Source URL. One row per plan.

Audit rules: cite the pricing-page Source URL per row and the capture date. If a price is "contact sales" or hidden, write exactly that — do not estimate. Tag Confidence where a plan's terms are ambiguous.

Goal: map how [5–8 competitors] position themselves in [category], so I can find a gap for [your product].

Sources: each competitor's homepage, product, and about pages, plus their G2/review category page if public. Browser Agent, public pages only.

Deliverable: a spreadsheet with — Competitor, One-line positioning, Target segment, Primary value prop, Top 3 features, Price tier (low/mid/premium), Key weakness (from public reviews), Source URL. Then a short summary of the 2–3 whitespace gaps you see.

Audit rules: every positioning claim and weakness cites a Source URL. Distinguish the company's own claims from third-party review evidence. Do not infer a gap you cannot support with cited quotes.

Goal: size the market for [your product] in [geography] and produce a defensible TAM / SAM / SOM.

Constraints: define the customer as [ICP]. Use a [top-down and bottom-up] approach and reconcile the two. Base year [2026], sources no older than [2024].

Deliverable: a one-page report plus a spreadsheet showing — Segment, Number of potential accounts, Average annual contract value, TAM, SAM (reachable), SOM (year-1 realistic), the assumption behind each number, and a Source URL per input. Include a sources appendix.

Audit rules: cite a Source URL for every external number. State each assumption explicitly and tag it Confidence High/Med/Low. Where data is missing, show the estimate method rather than a bare figure — never present a guess as a sourced fact.

Goal: produce a SWOT analysis of [competitor] built only from public evidence.

Sources: their website, pricing, blog, job postings, public reviews (G2/Trustpilot/app stores), and press. Browser Agent, public pages only.

Deliverable: a spreadsheet with four tabs or sections — Strengths, Weaknesses, Opportunities, Threats. Each point has: Statement, Evidence (short quote or fact), Source URL, Confidence. Finish with a 5-line "how we win against them" summary for [your product].

Audit rules: no SWOT point without a Source URL. Separate the competitor's own claims from customer/third-party evidence. Leave a quadrant thin rather than padding it with speculation.

Goal: mine public reviews of [competitor or category] to surface the top recurring pain points I can position against.

Sources: public review sites [G2 / Trustpilot / app stores / Reddit] for [category]. Browser Agent, public pages only; respect each site's terms.

Deliverable: a spreadsheet — Pain point theme, Frequency (how many reviews mention it), Representative quote, Sentiment, Product area, Source URL. Sort by Frequency. Add a short list of the 5 strongest messaging angles this suggests.

Audit rules: each theme cites at least one real Source URL and quote. Do not paraphrase a quote into something the reviewer did not say. Report frequency as counted, not estimated; mark Low confidence if the sample is small.

Goal: create a one-page pre-call research brief for each account in the attached list [upload], for a rep selling [your product].

Per account, cover: what they do, size and market, recent news / signals (last 90 days), likely pain point for [your product], the decision-maker and their public priorities, and one relevant hook.

Method: Wide Research across the list; Browser Agent for live pages. Public sources only.

Deliverable: a spreadsheet index plus a short brief per account, each ending with a "Sources" list of URLs. Columns in the index — Company, Contact, Top hook, Recent signal, Source URL, Confidence.

Audit rules: every fact in a brief traces to a Source URL. If you cannot verify something, omit it rather than guessing. Flag any personal data and keep only what is publicly published for business purposes.

Goal: write one personalized opening line per lead in the attached list [upload], each based on a real, verifiable fact about that company.

Constraints: 1–2 sentences, specific (reference a real recent event, product, or public detail), no flattery clichés, no assumptions about the person. Voice: [your tone].

Deliverable: add columns — First line, The fact it's based on, Source URL, Confidence. Keep one line per lead.

Audit rules: every first line must cite the Source URL of the fact it uses. If you can't find a genuine, specific hook for a lead, write "no verified hook — use generic opener" instead of inventing a detail. Do not reference private or sensitive personal data.

Goal: build a strategic account plan for [target company] as a prospect for [your product].

Cover: company overview, business priorities / initiatives, org structure and likely buying committee, current tools/vendors in our space, entry points and hooks, risks/objections, and a recommended first-touch play.

Sources: their site, press, job posts, public filings, and reviews. Browser Agent, public pages only.

Deliverable: a one-page report plus a spreadsheet of the buying committee — Name, Role, Public priorities, LinkedIn URL, Source URL, Confidence.

Audit rules: cite a Source URL for every claim and named person. Never fabricate a name, title, or email — leave blank and mark Low confidence. Separate fact from inference explicitly.

Goal: segment the attached qualified list [upload] into outreach tiers so I can match effort to value.

Tiering rules: Tier 1 = [high fit score AND fresh buying signal], Tier 2 = [high fit, no signal], Tier 3 = [medium fit], Nurture = [low fit but not disqualified]. Use the Fit score and Signal columns if present.

Deliverable: add columns — Tier, Reason, Recommended channel (personalized / semi / automated), Suggested cadence length. Then a summary count per tier.

Audit rules: state the rule that placed each row in its tier so it's auditable. Cite the Source URL behind any signal used for tiering. Do not upgrade a lead to Tier 1 without a cited, dated signal.

Goal: draft a [5]-touch outreach cadence over [14] days for [segment / tier] selling [your product], using the briefs and first lines already built.

Constraints: mix channels [email + LinkedIn], each touch adds value (no "just bumping this"), respect opt-out and anti-spam rules, and include a clear unsubscribe path in emails. Voice: [your tone].

Deliverable: a spreadsheet — Touch #, Day, Channel, Purpose, Subject line, Message body (with [merge fields] for name/company/hook), CTA. One row per touch.

Audit rules: keep merge fields as placeholders — do not fill in specific contact data here. Include compliant footer language for email touches (physical address + unsubscribe) per CAN-SPAM. Flag any touch that would need consent under GDPR before sending.

Goal: every day at [9am], find new companies matching my ICP and append them to my running lead sheet [link / attach].

ICP: [industry], [geography], [size], [signal]. Sources: [named directories / news / job boards] — public pages only, respect terms.

Set this up as a Scheduled Task (daily). On each run: dedupe against companies already in the sheet using the Website domain as the key, and append ONLY genuinely new matches.

Deliverable columns: Company, Website, Industry, Size, Location, Contact, Email, Fit score, Confidence, Source URL, Date found.

Audit rules: cite a Source URL and stamp Date found on every new row. Never add a domain already present. Leave contact fields blank rather than guessing; no fabricated emails. If nothing new, log "no new leads today".

Goal: every [Monday at 8am], find companies in [industry / geography] that announced [Seed / Series A/B] funding in the past 7 days, since fresh funding signals budget for [your product].

Set up as a weekly Scheduled Task. Sources: [public funding-news outlets and company press pages], confirmed on a real page with the Browser Agent.

On each run: append new funded companies to my sheet [link], deduped on domain against existing rows.

Deliverable columns: Company, Website, Round, Amount, Date announced, Industry, Size, Location, Contact, Fit score, Confidence, Source URL, Date found.

Audit rules: each row cites the funding-announcement Source URL and its date. Only include rounds from the last 7 days. No duplicate domains. Leave contact fields blank if not public; never fabricate.

Goal: every [Wednesday], find companies in [industry / geography] that posted a job for [relevant role, e.g. "Head of Growth"] in the last 7 days — a hiring signal for [your product].

Set up as a weekly Scheduled Task. Sources: [public job boards and company careers pages], read with the Browser Agent, public listings only, respect each board's terms.

On each run: append new companies to my sheet [link], deduped on domain.

Deliverable columns: Company, Website, Role posted, Post date, Location, Team/Dept, Contact, Fit score, Confidence, Source URL, Date found.

Audit rules: cite the job-post Source URL and its date on every row. Only postings from the last 7 days. No duplicate domains. Do not fabricate a contact — leave blank if not public.

Goal: every [Friday], check my competitors [A, B, C] for public changes in the last week and send me a digest.

Set up as a weekly Scheduled Task. Watch: pricing pages, product/changelog pages, homepage messaging, and new blog/press. Browser Agent, public pages only.

On each run: compare against last week's snapshot and report only what changed.

Deliverable: a spreadsheet — Competitor, Change type (pricing / feature / messaging / news), What changed, Old vs new (if pricing), Date detected, Source URL, Confidence. Plus a 3-line summary of the most important shift.

Audit rules: every change cites a Source URL and a date. Only report genuine differences from the prior snapshot — do not restate unchanged items. Mark Low confidence if a change is ambiguous.