Introducing the Tag Explorer

The new Tags page makes it easier to understand how your company performs across topics.

Get a quick overview of performance across all active tags, including both brand mentions and citations.

You can also analyze tag combinations, reflecting how AI search prompts typically include multiple attributes.

This helps teams quickly identify which topics and categories drive stronger or weaker AI visibility.

View Brand Mentions and Website Citations Breakdown by Tag

The overview table shows responses, mentions, citations, and share across your selected filters.

• Responses: Total number of responses where this tag is applied.

• Mentions: Number of responses where your brand is mentioned.

• Citations: Number of responses where your website is cited.

• Share: Share of responses where your brand is mentioned or cited (mentions ÷ total responses).

Note: Total responses can vary depending on how many prompts a tag is applied to.

Tag Combination Explorer

Tag combinations reveal how different attributes interact in AI search.

Unlike traditional search, AI prompts are often multi-dimensional and cover multiple attributes at once.

Here is how to read it:

• Anchor Tag: Primary tag being analyzed

• Modifier Tag: Secondary tag paired with the anchor

• Responses: Number of responses containing both tags

• SOV (A+B): Your share of voice for the combination

• SOV Baseline: Expected SOV based on individual tags

• Lift: Difference between actual and expected SOV

A positive lift indicates higher than expected visibility.
A negative lift indicates weaker performance for that combination.

Example 1
A B2B SaaS has 15% visibility for “Target Group: Start-up” and 12% for “Customer Service”. Combined, visibility increases to 25% indicating strong positioning for start-ups looking for great customer service.

Example 2
The same SaaS has 25% visibility for “Pricing”, but only 5% for “Pricing + Start-up”, suggesting weaker positioning for price-sensitive start-ups.

Note that by nature, due to the relative factor, not all combinations can be positive.

How it works

Open a report → go to Explore → Tags → apply filters → analyze the tables.

How to use Tag Insights to improve your AI visibility:

• Double down on high-performing topics

• Identify gaps where competitors dominate

• Prioritize content and optimization based on real AI visibility

• Use insights to guide deeper analysis

FAQ

Q: How often does tag data refresh?
A: Tag analytics update automatically as new responses are recorded.

Q: Do filters apply to tag tables?
A: Yes. All filters (date, model, language, etc.) apply to tag views.

Q: Can I analyze combinations beyond pairs (triples)?
A: The Tag Combination Explorer currently focuses on tag pairs to highlight the most actionable intersections. For broader intersections, export the data and run custom analyses externally.

Q: Do you charge extra for the new tags feature?
A: No. It’s included in all plans and helps you get more out of your existing analysis.