Kixie vs Rox

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Rox is the stronger AI pick in Sales Engagement: it has a visibility score of 6.8 versus 0.9 for Kixie, and ranks ahead in 50% of the answers that name both.

Choose Kixie if…

Per seat pricing suits your budget better than usage-based

Choose Rox if…

You want the brand AI engines rank higher (6.8 vs 0.9)
You want a free plan to start
You need SOC 2 Type II or GDPR coverage
Usage-based pricing suits your budget better than per seat

AI visibility side by side

Latest weekly run · Nov 3

Metric	Kixie	Rox
Visibility score	0.9%	6.8%
Change vs last week	down−0.7%	New
Rank in Sales Engagement	#36	#17
Share of voice	0.5%	2%
Mentions this run	3	15
Positive in AI answers	0%	—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Kixie −0.7999999999999999pp · Rox +6.8pp over 1 weekly runs.

Engine by engine

Rox leads on 2 of 3 engines

ChatGPT

0.9%

AI Mode

0.9%

Perplexity

1.9%

19.4%

KixieRox

Head to head in AI answers

2 engine answers name both brands

1Kixie ranked higher

1Rox ranked higher

Prompt	Engine	Kixie	Rox
Official website of the top sales engagement platform vendors	Perplexity	#14	#16
Who makes the most used sales engagement platform?	Perplexity	#8	#6

Features, pricing & fit

Dimension	Kixie	Rox
Pricing model	Per seat	Usage-based
Entry price	Contact sales	Free; paid from $100 / mo
Free plan	No · 7-day trial	Yes
Deployment	—	Cloud, with infrastructure running on AWS
Compliance	—	SOC 2 Type II, GDPR
Support	US-based customer support, Live chat in the Kixie Dashboard, Support request form	Dedicated deployment and support team on the Enterprise plan
Founded	2013	2024
Headquarters	Santa Monica, California, United States	San Francisco, CA, United States
Employees	51–200	51–200
Funding	Seed	Round at about $1.2B valuation, led by General Catalyst (reported from unnamed sources) · $50M raised
Best for	Sales, business development, marketing, and inside sales teams that call and text prospects from within their CRM.	Global 2000 enterprise revenue teams