When we set out to evaluate large language models for ChatGenie's core agentic workflow, we quickly realized that the benchmarks published by model providers — MMLU, HumanEval, MATH — told us almost nothing useful. We were not building a trivia assistant. We were running a production customer support automation system with real enterprise clients, live conversation volume, and service-level commitments that could not absorb experimental failure. The question we needed to answer was not "which model is smartest?" It was "which model behaves most reliably inside a constrained, multi-agent pipeline operating under production conditions?
Source: MrrTrack model
Estimated active users × assumed paying share × estimated monthly revenue per customer. We distinguish B2B, B2C and creator tools, and use comparable revenue when available. These are model assumptions, not measured sales.
Indicative range $95–$7.2k
Share of monthly visits
Map unavailable. Country shares are listed alongside.
Select a country to locate it
When we set out to evaluate large language models for ChatGenie's core agentic workflow, we quickly realized that the benchmarks published by model providers — MMLU, HumanEval, MATH — told us almost nothing useful. We were not building a trivia assistant. We were running a production customer support automation system with real enterprise clients, live conversation volume, and service-level commitments that could not absorb experimental failure. The question we needed to answer was not "which model is smartest?" It was "which model behaves most reliably inside a constrained, multi-agent pipeline operating under production conditions?
Share of monthly visits
Updated: 09/01/2026
Traffic, revenue and acquisition: the data behind the product.
Catalog updated on
When we set out to evaluate large language models for ChatGenie's core agentic workflow, we quickly realized that the benchmarks published by model providers — MMLU, HumanEval, MATH — told us almost nothing useful. We were not building a trivia assistant. We were running a production customer support automation system with real enterprise clients, live conversation volume, and service-level commitments that could not absorb experimental failure. The question we needed to answer was not "which model is smartest?" It was "which model behaves most reliably inside a constrained, multi-agent pipeline operating under production conditions?
Official website chatgenie.phChatGenie receives an estimated 8,814 visits in September 2026.
This represents a change of -58.1% compared with August 2026 (21,053 visits).
These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
| Month | Visits |
|---|---|
| 21,387 | |
| 21,053 | |
| 8,814 |
ChatGenie has an estimated monthly revenue of $830. This is an estimate, not company-reported revenue or payment-verified MRR.The model uses available product, traffic and comparable SaaS signals; its assumptions remain uncertain.
The leading countries for visits to ChatGenie are: Philippines (100.0%). These shares describe website traffic, not the location of paying customers.
The recorded channels include: Social (81.7%), Direct (13.2%), Search (5.1%).Coverage may be partial: a missing value does not establish that a channel is unused. These visits do not measure conversions or advertising returns.
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Explore acquisition dataThe selection of SaaS to compare includes Salesmate, Adastraa, Speakeasy, Chatfuel, Chatwoot, Nagent, Tidio, Maqsam.Similarity is assessed from available descriptions, categories and use cases. It does not guarantee equivalent features or pricing.
Answers based on the data available in this profile.
ChatGenie receives an estimated 8,814 visits in September 2026. These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
ChatGenie has an estimated monthly revenue of $830. This is an estimate, not company-reported revenue or payment-verified MRR.The model uses available product, traffic and comparable SaaS signals; its assumptions remain uncertain.
This represents a change of -58.1% compared with August 2026 (21,053 visits). These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
The leading countries for visits to ChatGenie are: Philippines (100.0%). These shares describe website traffic, not the location of paying customers.
The selection of SaaS to compare includes Salesmate, Adastraa, Speakeasy, Chatfuel, Chatwoot, Nagent, Tidio, Maqsam.Similarity is assessed from available descriptions, categories and use cases. It does not guarantee equivalent features or pricing.
The catalog data was last updated on October 17, 2026.The latest available traffic month is September 2026.Traffic periods, collection dates and revenue source dates can differ.
Matched by what the product does. Traffic only breaks ties.
US
45,1%
IN
16%
AE
3,2%
$4.6k
US
21,4%
IN
7,7%
DE
4,7%
$3.4k
CO
7,5%
PE
7%
IN
6,8%
$10.5k
CO
14,8%
KW
11%
IN
9,9%
$71.4k
US
37,7%
VN
35,6%
IN
19,2%
$880
Share calculated from Meta's reported reach breakdown. Spend by country is not published.
