
Otterly.AI
SEMRush
Ahrefs
LLMrefs
Am I on AI
Promptwatch
Diploria AI
Profound helps brands gain visibility in AI-generated answers, optimize their presence in LLM-based answer engines, and stay competitive in the zero-click world.

Jenkins
CircleCI
Travis CI
Helix ALM
GitLab
Git
GitHub
Visual Studio dev tools & services make app development easy for any platform & language. Try our Mac & Windows code editor, IDE, or Azure DevOps for free.

Which is more popular?
Based on our record, Azure DevOps seems to be more popular. It has been mentioned 105 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tryprofound.com | azure.microsoft.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Profound Tutorial & Review For Beginners 2026
More videos
Introduction to Azure DevOps
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Profound and Azure DevOps. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Profound offers a free 7-day trial with 50 daily prompts on ChatGPT, Gemini and AI Overviews. After that it's Enterprise only, priced on a demo call, with up to 9 engines.
Say they read the public interface: Miraqo, SE Ranking, Otterly.AI, Peec AI (logged out; its add-on models run through APIs) and Profound. Semrush says its answers are "captured from real requests and not via any APIs...
Profound gives a useful way to understand how brands appear across AI search and generative platforms. The platform helps surface visibility patterns, competitor presence, and broader shifts in how AI systems...
Azure DevOps is a cloud-based platform from Microsoft that offers a suite of tools and features for the entire software development lifecycle.
Azure Pipelines tightly integrates with GitHub to display pipeline statuses in your PRs, run jobs automatically in response to repository events, and automatically deploy your projects. The solution is also extensible...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Profound since Feb 2026.
The pattern runs on Azure DevOps, Azure Functions, and Azure OpenAI via AI Foundry. No preview program required — these are all generally available services. The full implementation walkthrough, including the ChatCompletionsClient setup... - Source: dev.to / 5 months ago
I also highly recommend Git and Azure DevOps for continuous delivery. - Source: dev.to / 11 months ago
CI/CD can take different forms. You might see it running through GitHub Actions, GitLab Pipelines, Azure DevOps, or AWS CodePipeline. In each case, the goal is to make deployments consistent, fast, and safe. - Source: dev.to / about 1 year ago
When comparing Profound and Azure DevOps, you can also consider the following products.

Stay ahead by monitoring and your content & brand across major AI Search Platforms. With Otterly.AI, you can automatically track brand mentions and website citations on Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini, and Copilot.
Compare Otterly.AI to Profound or Azure DevOps:

Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
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All-in-one Marketing Toolkit for digital marketing professionals.
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CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
Compare CircleCI to Profound or Azure DevOps:

Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!
Compare Ahrefs to Profound or Azure DevOps:

Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
Compare Travis CI to Profound or Azure DevOps: