Codacy vs CodeRabbit

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

The short answer

CodeRabbit is the stronger AI pick in AI Coding Assistants: it has a visibility score of 1.2 versus 0.4 for Codacy, and ranks ahead in 100% of the answers that name both.

Choose Codacy if…

You want a free plan to start
You need SOC 2 Type 2 (cloud infrastructure) coverage

Choose CodeRabbit if…

You want the brand AI engines rank higher (1.2 vs 0.4)
AI answers describe it more positively (33% vs 0% positive)
You need SOC 2 Type 2 or GDPR coverage
You prefer a larger, established vendor (201–500 employees)

AI visibility side by side

Latest weekly run · Nov 3

Metric	Codacy	CodeRabbit
Visibility score	0.4%	1.2%
Change vs last week	New	New
Rank in AI Coding Assistants	#35	#24
Share of voice	0.2%	0.6%
Mentions this run	1	3
Positive in AI answers	0%	33%

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

Visibility score trend

Weekly runs over the last 60 days

Codacy 0pp · CodeRabbit 0pp over 0 weekly runs.

Engine by engine

CodeRabbit leads on 3 of 3 engines

ChatGPT

1.1%

AI Mode

Perplexity

1.3%

2.6%

CodacyCodeRabbit

Head to head in AI answers

1 engine answers name both brands

0Codacy ranked higher

1CodeRabbit ranked higher

Prompt	Engine	Codacy	CodeRabbit
Which AI coding assistant tools offer annual discounts?	Perplexity	#6	#5

Features, pricing & fit

Dimension	Codacy	CodeRabbit
Pricing model	Per seat	Per seat
Entry price	Free; paid from $18 per seat / mo	$24 per seat / mo
Free plan	Yes	No · 14-day trial
Deployment	Cloud-hosted	SaaS; self-hosting and company-selected SaaS regions available on Enterprise
Compliance	SOC 2 Type 2 (cloud infrastructure)	SOC 2 Type 2, GDPR
Support	Standard support via email and in-app chat, Priority support via screen sharing and video chat, Dedicated Customer Success Manager and Solutions Engineer on Business plan	Enterprise plan: support SLA, dedicated customer success, and technical enablement
Founded	2012	2023
Headquarters	Lisbon, Portugal	San Francisco, CA
Employees	51–200	201–500
Funding	Series B · $28M raised	Series C · $200M raised
Best for	Fast-paced engineering teams building fast-growing codebases	Engineering teams merging high volumes of pull requests, including AI-generated code from coding agents