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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.

GoSquared People Analytics
Currents by Parse.ly
Make My Persona
Lytical
Heap
SEMRush
Amplitude
Analytics for understanding audience attention

Which is more popular?
Based on our record, Parse.ly Analytics seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tryprofound.com | parse.ly |
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What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
No analysis of Parse.ly Analytics yet.
Walkthroughs and reviews on video.
Profound Tutorial & Review For Beginners 2026
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Profound and Parse.ly Analytics. 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...
We have no reviews of Parse.ly Analytics yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Tracking Profound since Feb 2026.
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: almost 4 years ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month,... - Source: Hacker News / over 5 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: over 5 years ago
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