Mentioned

A closer look at Mentioned

Mentioned audits where a brand should appear in AI answers and listicles, finds the lists, comparisons and threads that decide a category, identifies pages that are factually wrong without the brand, and takes the correction to the person who can change the page, with a console for opportunities, pitches and tracking.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Mentioned

• Brands that appear in AI visibility tools as not mentioned and want the missing mentions fixed, not just reported.
• Marketing teams that want to track which listicles and comparisons mention them, which are wrong, and which pitches are ready to send.
• Companies that want a first audit to test the approach, since the homepage states the first audit is free, covering the best 10 of 60 pages read.

When to choose something else

• Brands that expect every opportunity to be pitched, since the console itself separates ready-to-send, weaker cases, already listed, wants-paying and not-pitching items.
• Teams that want more than one free audit per domain in a month, since the homepage states one per domain per 30 days.
• Users looking for a generic rank tracker, since Mentioned is built around remediation: finding wrong pages and taking corrections to the page owner.

A practical starting workflow

1. Request an audit and let Mentioned read the category pages to find where the brand should appear.
2. Review the console opportunities, pitches and tracking, and check which cases are ready to send.
3. Send the correction to the person who can change the page, then track whether the listing changes.

Check before committing

• Console figures on the homepage are labelled illustrative, with invented brand, competitor and publication names, so they must not be quoted as a real customer's results.
• The guessed pricing path returns a not-found page, so no plan prices are recorded here beyond the first-audit statement.

Common questions

Compare approaches for this task

• MESA — Shopify or Etsy sellers who want repetitive store tasks automated without writing automation rules from scratch.; Merchants who already know the rule they want, such as tagging high-value orders and alerting a warehouse channel, and want it running automatically.; Growing stores that need unlimited workflows and templates, with task allowances that scale with order volume.
• MentorClone — Founders and builders who want to ask experienced operators questions and check the answer against the original video or post.; Learners who want advice grounded in a specific person's own work, with links to where they said it.; Users who want to build a private mentor from someone they follow, by naming the person and ticking the sources.