Cognigy vs Dify

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

The short answer

Dify is the stronger AI pick in AI Agents: it has a visibility score of 5.2 versus 0.9 for Cognigy, and ranks ahead in 100% of the answers that name both.

Choose Cognigy if…

Recognised as a Forrester Wave Leader for conversational AI
Named among leading customer-service voice and chat platforms
Evaluated in Gartner's Conversational AI Platforms research

Choose Dify if…

You want the brand AI engines rank higher (5.2 vs 0.9)
You need a self-hosted or on-premises option
You need SOC 2 Type II or ISO 27001:2022 or GDPR coverage
Self-hosting and strong data control

AI visibility side by side

Latest weekly run · Nov 3

Metric	Cognigy	Dify
Visibility score	0.9%	5.2%
Change vs last week	New	New
Rank in AI Agents	#61	#22
Share of voice	0.4%	1.5%
Mentions this run	3	11
Positive in AI answers	—	27%

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

Visibility score trend

Weekly runs over the last 60 days

Cognigy 0pp · Dify 0pp over 0 weekly runs.

Engine by engine

Dify leads on 3 of 3 engines

ChatGPT

0.9%

9.8%

AI Mode

Perplexity

1.9%

3.9%

CognigyDify

Head to head in AI answers

2 engine answers name both brands

0Cognigy ranked higher

2Dify ranked higher

Prompt	Engine	Cognigy	Dify
Compare the leading AI Agents platforms	Perplexity	#15	#12
Which AI Agents vendors do analysts recommend?	ChatGPT	#27	#17

Features, pricing & fit

Dimension	Cognigy	Dify
Pricing model	—	Flat tiers
Entry price	—	Free; paid from $590 / mo
Free plan	—	Yes
Deployment	Standalone or inside NiCE CXone	Dify Cloud, customer VPC, or self-hosted (Docker, Kubernetes via Helm chart)
Integrations	110+	—
Compliance	—	SOC 2 Type II, ISO 27001:2022, GDPR
Support	—	Community Discord and forum support, Dedicated CSM and 24/7 support on Enterprise, Professional technical support on Enterprise
Founded	—	2023
Headquarters	Düsseldorf, Germany	—
Employees	201–500	—
Funding	Seed · $175M raised	Series Pre-A
Best for	Enterprise customer service and contact center teams	Enterprise teams and developers who need to take AI agents and workflows from prototype to production, including organizations that require private deployment, security review and audit.