Find Company Website Traffic
/find-company-website-trafficReturns a monthly website traffic figure for a company domain at 1 credit, so you can rank and tier an account list before deeper enrichment.
Overview
`find_company_website_traffic` is a SyncGTM MCP tool that takes one company website domain and returns that site's traffic as a monthly visits figure, for a flat 1 credit. It is the cheapest of the three traffic tools on the server, and it runs as a provider-agnostic waterfall rather than a single named source. Use it to rank and tier an account list first, then spend `semrush_insights` or `similarweb_insights` at 2 credits on the top slice only.
What it does
- 1
Takes one input: `domain`. That is the only parameter — no date range, no country split, no multi-domain array. Pass a bare registrable domain like `stripe.com`, not a landing-page URL with a path or UTM parameters.
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Returns the traffic figure for that domain. The documented response is `domain` plus `monthly_visits` — `stripe.com` comes back as 24,000,000.
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Runs as a provider-agnostic waterfall, so it is not tied to one data source and field detail can vary between domains. If a report needs one consistent named-source metric on every row, use `semrush_insights` or `similarweb_insights` instead.
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Does not return organic keywords, backlinks, traffic sources, engagement rates or a competitor set. Those are `semrush_insights` (2 credits, one domain per call) and `similarweb_insights` (2 credits per call, `domains` is an array).
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Does not return firmographics, contacts, emails or phone numbers. Use `enrich_organization` (2 credits) for industry, size and funding, and `find_people_within_company` (1.5 credits) for the people.
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Costs 1 credit per lookup, flat, one call per domain. A 200-domain list costs 200 credits, so spend tracks domains attempted, not figures returned.
How to use it
- 1
Download the skill file — it saves as find-company-website-traffic.zip.
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In Claude, open Settings → Capabilities → Skills and upload the .zip (or unzip the find-company-website-traffic/ folder into .claude/skills/ for Claude Code).
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Connect the SyncGTM MCP server using the setup guide for your client. It is browser sign-in, no API key.
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Paste your domain list and type /find-company-website-traffic. Strip protocols, www, paths and tracking parameters first — a malformed URL still costs a credit.
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Tune the one setting that matters: the batch cap. The skill stops at 50 domains and reports credits used; raise or lower it to match your budget, because spend equals domains attempted.
Use cases
Inbound lead triage
Rank last month's demo requests and trial signups by site traffic. SDRs then work the largest accounts first instead of working the list in signup order.
Account tiering
Attach a traffic figure to every account in a territory and split it into Tier 1, 2 and 3 before quotas are set.
Cheap TAM sizing
Run traffic across a freshly sourced domain list to see how top-heavy a segment is before committing budget or headcount to it.
Gating expensive tools
Use the 1-credit figure as the gate for the 2-credit tools, so `semrush_insights` and `similarweb_insights` only run on accounts that already look big enough to matter.
GTM workflow examples
Rank last month's inbound before you enrich it
- 1Run `check_credits` (free) to confirm the balance covers 120 lookups plus the escalation tail.
- 2Run `find_company_website_traffic` on each of the 120 domains from last month's demo requests, 1 credit each, producing a domain-to-monthly-visits table.
- 3Sort descending, keep the top 30, and run `enrich_organization` (2 credits) on those only to add industry, size and funding — 60 credits.
- 4Run `find_people_within_company` (1.5 credits per call) on the 12 accounts that clear your headcount bar to name the RevOps and Sales leaders — 18 credits.
- 5Run `find_work_email` (1 credit) on the LinkedIn URLs of those named contacts to make the shortlist sendable.
Outcome: A 120-row inbound sheet ranked by monthly visits, with firmographics on the top 30 and emailable contacts on the top 12, for 120 credits of ranking instead of the 240 credits blind `enrich_organization` on all 120 would have cost.
Tier a sourced TAM for territory planning
- 1Run `find_companies` (0.3 credits per result) for Software Development companies in the United States with 201-500 employees. `limit` caps at 100 per call, so pull one page of 100 and page once more with the returned `cursor` — 200 companies for 60 credits.
- 2Run `find_company_website_traffic` on all 200 domains (200 credits) to attach a monthly visits figure to every row.
- 3Bucket into Tier 1 above 1M visits, Tier 2 from 100k to 1M, Tier 3 below 100k, and split the tiers across reps.
- 4Pass the roughly 20 Tier 1 domains to `similarweb_insights` as a single `domains` array — it bills 2 credits per call, not per domain — to add traffic sources and competitor performance to the ABM briefs.
Outcome: A 200-account territory sheet carrying a traffic tier on every row plus a competitor-aware brief on the 20 Tier 1 accounts, for 262 credits.
Build a competitive displacement shortlist
- 1Run `find_company_techstack` (1 credit) on 60 target domains to flag which ones already run the competitor's product — 60 credits.
- 2Run `find_company_website_traffic` on the 22 confirmed matches (22 credits) to size them by monthly visits.
- 3Run `semrush_insights` on the top 8 by traffic — one domain per call at 2 credits, so 16 credits — to pull the organic keywords their content team is defending.
- 4Run `find_people_within_company` (1.5 credits per call) on those 8 domains to name the marketing and RevOps buying committee — 12 credits.
Outcome: Eight ranked displacement targets, each with a traffic figure, the keywords they rank for and up to 5 named contacts, for 110 credits.
Prompts
Paste any of these into Claude once the skill is installed and the SyncGTM MCP is connected.
How much traffic does stripe.com get? Use find_company_website_traffic.Run find_company_website_traffic on these 40 domains, 1 credit each, and give me a table of domain and monthly visits sorted highest to lowest with total credits used at the bottom: [paste your 40 domains]Use find_companies with limit 100 to pull Software Development companies in the United States with 201-500 employees, then run find_company_website_traffic on every domain returned. Cap it at 100 lookups. Return domain, employee count and monthly visits sorted by traffic.Run find_company_website_traffic on these 25 domains and tier them — Tier 1 over 1M monthly visits, Tier 2 from 100k to 1M, Tier 3 under 100k. Then run semrush_insights on the Tier 1 domains only, one call per domain at 2 credits: [paste your 25 domains]Check my credits first, then run find_company_website_traffic on the first 50 domains in this list and stop after 50. Tell me which domains returned no data and how many credits I spent: [paste your domain list]Best practices
Name the tool in every batch prompt. Writing "use find_company_website_traffic" stops the client reaching for `semrush_insights` or `similarweb_insights` on each row and doubling the bill.
Pass a bare domain. `stripe.com`, not `https://stripe.com/pricing?utm_source=blog`. A malformed URL still spends the credit.
Cap the batch, deduplicate first, and ask for the credit total. "Stop after 50 and report credits used" keeps a 900-domain paste from becoming a 900-credit run, and two rows with the same domain are two credits for one answer.
Escalate on a slice, never the whole list. Traffic-rank everything at 1 credit, then escalate the top 10 to 20 rows — `semrush_insights` bills 2 credits per domain because it takes one domain per call, while `similarweb_insights` bills 2 credits per call and takes a `domains` array, so batch that whole slice into one call.
Expect variation between rows. The waterfall pulls from whichever provider answers, so field detail differs by domain. If a report needs one consistent named-source metric on every row, use `semrush_insights` or `similarweb_insights` instead.
Do not score fit on traffic alone. It is a proxy for scale, not for ICP fit — pair it with `enrich_organization` for industry, size and funding.