Video summary
The landscape of how customers discover businesses has shifted dramatically due to the rise of artificial intelligence, meaning that failing to secure recommendations from AI engines effectively hands market share directly to competitors. The Moz AI Visibility tool addresses this critical need by providing a transparent view into how Large Language Models perceive, rank, and suggest brands relative to their rivals, allowing business owners to identify exactly when intervention is necessary. By navigating to the brand visibility section within the tool, users can filter results based on the specific AI platforms their target audience utilizes, ensuring they focus their efforts on the systems that truly matter to their stakeholders or clients.
To evaluate overall performance, the platform breaks down three key metrics regarding mentions and positioning that determine a brand's standing in AI search results. The first metric tracks the frequency of mentions, which helps users monitor their total share of voice volume against competitors. The second metric examines placement depth, where a lower percentage indicates that the brand appears earlier in the AI-generated answer, signaling stronger relevance. Finally, the tool highlights how often a brand is mentioned as the primary result, offering a significant competitive advantage by capturing attention before rivals can even be considered.
Beyond general metrics, the tool allows for deeper analysis by displaying a breakdown of specific product or feature terms that are driving brand mentions, helping users understand exactly what content resonates with AI models. Additionally, the performance over time section provides a week-over-week comparison showing how strategic adjustments allow a brand to outpace key competitors in both mention volume and placement depth. This granular data enables businesses to catch visibility shifts before they negatively impact revenue and gives leadership teams a solid, data-backed report card to present with confidence during important meetings.
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The way customers find your business has
completely changed. If AI engines aren't
recommending your brand, you're quietly
handing business over to your
competitors. [music]
Ma's brand visibility gives you a
crystal clear look at how LLMs view,
rank, and suggest your brand against the
competitors so you [music] know exactly
when to step in and take action.
Under AI visibility, click on brand
[music] visibility. Filter by the
specific AI engines your audience uses.
That way, you can speak directly to the
platforms your boss or client [music]
cares about. Check your results for big
picture performance. Scroll down to
mentions and positioning [music] to
break down three makeorb breakak
metrics. First, how often brands are
mentioned. This is where you can track
your total share of mention volume.
Then, how early brands are mentioned.
[music] Check your placement depth. The
lower the percentage, the earlier you
pop up in the answer. Then how [music]
often brands are mentioned first. These
are your ultimate bragging rights.
Getting mentioned is nice, but [music]
getting mentioned first steals the
spotlight before your competitors even
get a word in. [music] Click show terms
breakdown at the top right to uncover
which exact product or [music] feature
terms are carrying your brand mentions.
Scroll down to performance over time,
where you can show how your strategies
are outpacing a key competitor [music]
week over week, both in mentions
and placement.
Brand visibility gives you the story you
need [music] to step into your next
meeting with total confidence, catch
visibility shifts [music] before they
impact revenue, and hand your leadership
team a solid databacked AI report card.