Example outputs below were pulled from a live session on October 13, 2026. People are shown as initials, companies are described rather than named, and no emails or phone numbers appear.
Website visitor to buying group in one pass: the Lusha connector ranks the companies that visited your tracked site in the last 7 days, scores them 0 to 100, filters out automated traffic, and maps the decision maker at each hot account. Company level only, no individual visitor is identified.
Using the Lusha connector, list the companies that visited our website in the last 7 days, hot band only, with at least one high intent page view, ranked by engagement score. Show score, sessions, unique visitors, days visited, and the high intent pages viewed.
Flag any visitor that looks automated: sessions equal to unique visitors with zero average minutes.
For the top 3 real companies that viewed the pricing page, pull the buying group (decision maker, potential champion, end user), 3 per company, no reveals. Tell me the credit cost of revealing each contact before you reveal anything.
Return one table: company, score, pricing page views, who to contact first and their role, and a one line reason to reach out today.
A demand gen lead runs the prompt on Monday morning against lusha.com. Website Visits returns 30 hot companies with at least one high intent page view in the last 7 days. Pricing is the high intent page on all 30. Two records are flagged as automated (291 and 268 sessions, one visitor per session, zero minutes) and dropped.
| Company | Score | Sessions | Pricing views | Who to contact first | Role |
|---|---|---|---|---|---|
| US telecom and media, 8,430 employees | 80 | 77 over 7 days | 8 | B.S., SVP and Chief Information Security Officer (0.97) | Decision maker |
| J.R., Product Manager, Sales Technology (0.91) | End user | ||||
| UK brokerage, 668 employees | 83 | 13 over 3 days | 17 | N.P., Budget and Office Operations Manager (0.93) | End user |
| French web agency, 39 employees | 92 | 30 over 6 days | 12 | Not pulled: outside ICP |
The one line reason for the telecom: “Eight views of our pricing page in seven days from a team that owns sales technology.” The reason for the brokerage: “Seventeen pricing views across three days, with five countries in the visitor mix.”
Contact confirmed live via Lusha connector, October 13, 2026. Website Visits search costs no credits. Buying Group costs 1 credit per contact returned; this run used 6.
Lusha in Claude joins two things that usually live in different tabs: the Website Visits feed with its 0 to 100 score and high intent pages, and Buying Group for the committee inside each visiting company. The bot check matters because a hot score alone can be a crawler; one visitor per session at zero minutes is the pattern to drop. Website Visits identifies companies, not people, and the contacts come from Lusha’s own database, so the play stays GDPR and CCPA compliant. The visits call is free, and the connector quotes the credit cost before any reveal.
No. It identifies the company and scores its engagement. The people come from Lusha’s database of employees at that company, mapped by Buying Group.
A tracked domain, your high intent pages defined, and the pixel installed and verified in the Lusha platform. Website Visits is in beta and available on Pro and above.
Sessions, unique visitors, days visited, high intent page views, time on site and recency, combined into a 0 to 100 score with Hot, Warm and Cold bands.
Score measures intent, not fit. A one person agency can score 92 and still be outside your ICP. Pair the visits list with your Target Profile or an ICP fit score before spending credits.
The visits search is free. Buying Group is 1 credit per contact returned. Reveals are quoted first: 1 credit per email, 5 per phone.
One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.
