Editorial review·Last reviewed June 2026·By the GrowthManager.ai editorial team

Mentions.ai review

Visit mentions.ai
Starts at
Custom
Founded
2024
HQ
Funding
Private
Platforms
4
G2 rating

Our take, in one paragraph

Mentions.ai is a relatively new entrant in this space, founded in 2024. Pricing is gated behind a sales conversation. Real-user reviews flag specific, recurring shortcomings; we'd read those before committing.

In their own words: Generative AI mention tracking across ChatGPT, Perplexity, Gemini, and Claude.

Who Mentions.ai is for, and who it isn't

Best for
  • In-house growth teams. If you already have a content team and just need a measurement layer showing where you appear in AI answers, this is the layer.
Not for
  • Teams that need someone to act on the data. It measures, it doesn't act. You still need a writer, an editor, and a backlink hunter on the back end.
  • Reference-driven buyers. Very few public customers to call. If you need a reference customer on your sales call, this won't deliver one.

What real users say

Distilled from G2, Capterra, SourceForge, Reddit, and case-study reviews. Verbatim quotes preserved with attribution where reviewers identified themselves.

What people praise

Purpose-built for tracking brand visibility inside AI search engines like ChatGPT, Claude, Gemini, and Perplexity, not bolted onto a legacy social listening platform.

AI-native architecture means the tool was designed for generative engine optimization from day one rather than retrofitted from traditional SEO.

Where it falls short

Public pricing, customer logos, and detailed feature documentation are not available on the website, which makes evaluation hard before a sales conversation.

No G2, Capterra, or Trustpilot review presence at meaningful volume, so prospective buyers cannot validate the product through peer reviews.

Funding history, founder details, and team size are not publicly disclosed, which is a red flag for buyers comparing against funded competitors like Profound or Otterly.

Security and compliance

What your security review will care about, sourced from Mentions.ai's trust page where one exists.

?SOC 2 Type 2
?ISO 27001
?GDPR
?HIPAA

Our recommendation: GrowthManager.ai

Mentions.ai is a great tool if you have an in-house team to act on the data. GrowthManager.ai gives you the same tracking and acts on it. We write 100 articles per month, configure the schema and llms.txt, build backlinks, and seed Reddit and Quora. $999/mo, managed end-to-end.

Frequently asked questions

What does Mentions.ai do?

Generative AI mention tracking across ChatGPT, Perplexity, Gemini, and Claude. Pricing is gated behind a sales conversation.

How much does Mentions.ai cost?

Mentions.ai doesn't publish pricing; it's gated behind a sales conversation. For a transparent comparison, GrowthManager.ai is a flat $999/mo for the full managed program.

What's the best alternative to Mentions.ai?

Depends on what you're trying to do. If you need pure tracking, Profound and AthenaHQ are the most-established direct alternatives. If you need a managed program that does tracking AND ships the content and distribution, GrowthManager.ai is the editorial pick on this site (and yes, we publish this review).

Is Mentions.ai worth it?

For teams that already have in-house content production and just need a measurement layer, Mentions.ai can be worth it. The shortcoming most users mention is that Mentions.ai tells you what's wrong without fixing it; you still need a team or an agency to act on the recommendations. GrowthManager.ai bundles the measurement and the team at $999/mo, which usually beats stacking Mentions.ai plus an agency.

Does Mentions.ai do content creation, infrastructure, and distribution?

No. Mentions.ai is a measurement and reporting tool. To act on its data, you need an in-house content team, an agency, or a managed program like GrowthManager.ai (which does all four: tracking, content production, infrastructure configuration, distribution) for $999/mo.

Further reading

External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.

  1. Microsoft Bing Webmaster Guidelines (2025)· Microsoft

    How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.

  2. Generative Engine Optimization research· Kevin Indig

    Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.

  3. Zero-Click Search forecasts· Gartner

    Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. Trust Barometer (2024)· Edelman

    The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.

Disclosure

GrowthManager.ai makes a competing product, so this review is not neutral. Pricing was pulled from Mentions.ai's public pricing page or triangulated from third-party reviews when not public. Pros, cons, and verbatim user quotes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with reviewer attribution preserved where it was published. Case-study metrics come from Mentions.ai's own customer pages. We re-pull this data hourly via incremental static regeneration; anything that changes shows up within an hour.