Close is a sales CRM built for teams that sell. It combines calling, email, SMS, pipeline management, reporting, and an AI sales agent named Chloe into a single platform.
Action Item Extraction
通用 AI Agent
Call Summary
Call Transcription
Conversation Intelligence
+5 more
SIGPIK VERDICT · Sep 2026
Close CRM visits were roughly flat in Sep (7.2%)
Close CRM’s direct traffic went from 1.2M to 1.3M visits in one month. In the same window, Close CRM’s Sitemap removed 2.1K pages, mostly under /blog. The timing overlaps — worth a closer look.
Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.
Keyword
Traffic
CPC
Rank
close crmBrand
24.7K
$6.04
1
closeBrand
12K
$0.78
2
closecrmBrand
1.4K
$9.12
3
close.comBrand
1.1K
$12.81
4
google calendarNon-brand
960
$1.11
5
Borrow: Search traffic is mostly branded, riding existing awareness; the non-brand needs it does not cover are open to you.
AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet
4.3K visits from AI assistants (previous month 4.1K), 0.3% of all traffic.
ChatGPT84%
Claude15%
Perplexity1%
Borrow: No need to follow yet; watch whether it scales next month.
03 · Full growth history
Close CRM Promotion History, Backlinks & Launch Timeline
Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what Close CRM did at each step, and gives you a sequence to follow.
Promotion timeline with original sources
Traffic before and after each channel
Exportable launch action list
Unlock Close CRM’s promotion research & launch action pack
Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Close CRM ships pages in bulk
We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.
Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.