Listed in the following categories:
Large Language Model Operationalization (LLMOps)
Kambrium
5.0 (2)
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This is how users rate the tool
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Ease of use
Category average: 92 %
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Customer support
Category average: 93 %
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Meets requirements
Category average: 92 %
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Ease of setup
Category average: 94 %
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Kambrium Reviews (2)
What users say about Kambrium
There are not enough reviews yet to create a summary.
“Increased our AI visibility significantly in just a few months”
5.0
A
In the last 6 months
Andrew
Validated Reviewer
Head of SEO at
ScalePad
- 51-1000 employees
- Industry: Internet
Use cases:
Generative Engine Optimization (GEO)
What did you like?
The AI content generation process is working very well. We tried other conent generation AI tools before but just got a lot of generic non-impact content. Kambrium integrated all our company and product data and - on the back of our prompt analytics data - created real usable content about our product that actually got cited. Therefore we were quickly able to increase our AI visiblity for some core prompts.
What did you not like?
Content generation takes a bit of time but therefore the quality is very high and does not need to be rewritten.
Which problems are you solving with the product?
We had no idea about our AI visibility before. Based on Kambriums prompt suggestions we quickly set up our relevenant prompts and measure our visibility. Additonally we had no idea what content to generate to acutally improve our AI search metrium. With Kambrium we were able to generate the necessary content that really increased our AI visibiltiy.
“Improves AI Visibility and does not just measure it”
5.0
M
In the last 12 months
Maria
Validated Reviewer
Head of Business Development at
GEO Agency
- 1-50 employees
- Industry: Marketing and Advertising
Use cases:
Generative Engine Optimization (GEO)
What did you like?
As a GEO Agency we use Kambrium for some of our enterprise and E-Commerce clients who have large and sometimes complex product portfolios. Kambrium uses AI to research and integrate complex product data as the basis for person creation, prompt identification and finally content creation that really has depth and inside company/product knowledge not just generic AI generated content.
What did you not like?
It took us a bit to get used to it as it has much more depth than other GEO tools we tested.
Which problems are you solving with the product?
For us (our GEO clients in the entprise space) it really helps tracking GEO scorings for large and complex product portfolios which goes way beyond a few simple prompts to see if a brand gets mentioned. It helps us to granularly understand AI visiblity at a product and feature level. Also it helped us to generate content at scale that is not the generic AI standard content.
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