Module 06 · Research a company

Use find_companies with:
- industries ["Computer Software"]
- exclude_industries ["Staffing and Recruiting"]
- countries ["United States"]
- company_types ["Privately Held"]
- employee_count_ranges ["51-200","201-500"]
- min_total_funding_usd 5000000
- last_funding_round_types ["series_a","series_b"]
- last_fundraise_after "2025-06-01"
- min_headcount_growth_percent_6m 20
- min_year_founded 2018
- limit 25

Return: company_name, primary_domain, employee_count_range, countries.
Stop after one page and report credits used.

Use enrich_organization with domain "stripe.com".
Return industry, employee count, HQ location, total funding,
last round and the technologies it reports.

Use enrich_linkedin_page with identifier
"https://linkedin.com/company/stripe".
Return description, specialties and employee count.

Use company_product_launch with domain "stripe.com",
details "AI and automation product launches in the last 12 months".
Return launch name, date and a one-line summary.

Use find_company_techstack with domain "stripe.com".
Group the result by category and flag anything in the CRM,
sales engagement or data enrichment categories.

Use find_company_website_traffic with domain "stripe.com".
Return monthly visits and the trend direction.

Use semrush_insights with domain "stripe.com".
Return estimated traffic, the top 20 organic keywords by position,
and total referring domains.

Use similarweb_insights with domains ["stripe.com","adyen.com"].
Return total visits, bounce rate, traffic sources by channel,
and the listed competitors for each.

Use b2b_ads_search with company_domain "stripe.com".
Return each ad's headline, body and targeting.
Tell me which pain point they lead with.

Use meta_ads_analysis with page_id "https://facebook.com/StripeHQ",
ad_type "all ads", max_results 20.
Return creative, copy and how long each ad has been running.

Brief me on stripe.com. In this order:

1. enrich_linkedin_page with identifier "stripe.com"
2. find_company_techstack with domain "stripe.com"
3. find_company_website_traffic with domain "stripe.com"
4. company_product_launch with domain "stripe.com", details "last 12 months"
5. b2b_ads_search with company_domain "stripe.com"

Return one brief under 200 words: what they do, what they run,
how big their traffic is, what they just shipped, what they advertise.
Then one sentence on why they would care about us.
Report credits used.

1. Pull HubSpot companies created in the last 7 days where the
   "Tech stack" property is empty. Give me the count first.
2. For each domain, in this order:
   enrich_linkedin_page → find_company_techstack →
   find_company_website_traffic → company_product_launch
   with details "last 12 months".
3. Show me one row per account: company, size, stack highlights, traffic,
   latest launch. Roughly 3.5 credits each — confirm the total with me.
4. On my go-ahead, write the stack to the "Tech stack" property and the
   brief to a note on the company record. Do not overwrite existing values.

For each domain in this list:

1. enrich_linkedin_page — 0.5 credits — for size and description.
2. STOP on any company under 20 employees or in staffing/recruiting.
   Mark them DQ and spend nothing more on them.
3. For survivors only: find_company_techstack and
   find_company_website_traffic.
4. Grade A/B/C on: headcount 51-1000, runs a CRM we integrate with,
   traffic over 20k monthly.
5. Return the table sorted A first, and tell me how many you DQ'd at
   step 2 and what that saved.

For a deal against <competitor>:

1. similarweb_insights with domains ["<prospect domain>",
   "<competitor domain>"] — one call, both companies.
2. b2b_ads_search with company_domain "<competitor domain>".
3. company_product_launch with domain "<competitor domain>",
   details "last 6 months".

Give me: where the prospect's traffic comes from versus the competitor's,
what the competitor leads with in paid, and what they have shipped recently.
Then three talking points for the call. Under 200 words.