See how often your brand appears in AI answers, which competitors show up beside you, and which sources are shaping the response. Then use Moby to turn the recurring follow-through into reviewable work.
Sample topic: best products for a high-intent use case
Customers are asking AI what to buy, what to trust, and how brands compare. AI Visibility turns those answers into a measurable operating surface for ecommerce teams.
“We tried almost every AI visibility tool out there and this is the only one we kept using. It's built for ecommerce and actually helps you take action instead of just staring at dashboards.”
“LLMs are ushering in a new era of agentic shopping where intent and relevance matter more than ever.”
Trace the prompt, the brand mention, the competitors that appeared, and the citations that gave the answer its shape.
AI Visibility is built around individual prompt executions. That means the headline score is never the end of the story. You can inspect the topic, prompt, model, response preview, competitor mentions, and every cited URL behind it.
Start with the categories, use cases, comparisons, and purchase questions you want your brand to own. Triple Whale recommends beginning with five topics and roughly ten prompts per topic.
Each tracked run records the date, model, exact prompt, mention outcome, response preview, topic, competitor visibility, and citations. That is what makes the score inspectable.
Overlay tracked competitors on the same prompt set. See where another brand appears more often, which topic is creating the gap, and which questions deserve a closer look.
Identify the domains and exact URLs that answer engines cite. Then use that evidence to guide PR outreach, product-page updates, collection content, blog strategy, and the channels where your category already earns citations.
The current AI Visibility data model is purpose-built for prompt execution evidence, not vague “AI traffic” estimates.
Start with visibility percentage, then move through topic, prompt, model, response, competitor, and citation detail without leaving the same evidence system.
Visibility percentage is the share of prompt executions where your brand was mentioned.
Surface the source domains, exact URLs, and citation order attached to tracked responses.
Inspect every prompt run and its response preview instead of treating visibility as a black box.
Tracked competitor mention records make share-of-voice gaps visible at prompt and topic level.
Triple Whale’s help guidance starts with a focused prompt map, complete business aliases, and a competitive set you can actually act against.
Use product categories, industry questions, use cases, and comparison themes that reflect real purchase intent.
Balance informational, comparison, and navigational questions instead of duplicating slight wording variations.
Add name variations, abbreviations, and product-line names so legitimate mentions are counted.
Start with the brands customers truly compare, plus fast-growing challengers that appear in category answers.
Separate brand sites, publications, YouTube, Reddit, and other communities that repeatedly shape responses.
Use evidence to update product and collection pages, create focused editorial content, and pursue credible third-party placements.
Return to topic and prompt visibility after changes. Triple Whale notes that content updates often take 2–3 weeks to show.
Keep the prompt set aligned to new products, seasonal demand, customer questions, and the competitive landscape.
Moby can collect the signal, explain what changed, and prepare the next move. Your team still sees the source, the current state, and the recommendation before work moves forward.
AI Visibility shows where your brand is present, absent, or losing ground. Moby can turn a confirmed operating policy into a recurring, reviewable workflow that gathers the evidence, explains the change, and prepares the next move.
Collect the latest prompt, topic, competitor, response, and citation evidence.
Separate isolated misses from repeated topic, source, or competitor patterns.
Translate the evidence into content, PR, research, or page-level next steps.
Route the recommendation, current state, and supporting evidence for approval.
Once the prompt set is useful, the biggest advantage is consistency. These are practical recurring workflows Moby can help structure around the evidence, with the output delivered for review instead of buried in another dashboard.
Summarize what moved by topic and prompt, where competitors gained ground, and which source patterns changed.
Flag high-priority questions where a tracked competitor appears and your brand does not, then rank the gap by topic.
Group the domains and URLs that recur across valuable answers so content and PR teams can see where influence is concentrated.
Revisit the affected topics after a page, article, or placement changes and compare the new visibility pattern with the prior baseline.
Go deeper on how AI discovery works, how to run an audit, and how Triple Whale and Moby can turn recurring discovery signals into a reviewable operating rhythm.
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It is the percentage of tracked prompt executions where your brand was mentioned: number of mentioned executions divided by total prompt executions.
The AI Visibility table stores the event date and timestamp, execution ID, model, prompt and topic IDs, prompt text, mention flag, response preview, competitor visibility records, and cited source domains, URLs, and citation order.
Start from proven SEO themes and real customer questions. Triple Whale recommends five topics and roughly ten prompts per topic, balanced across informational, comparison, and navigational intent.
Yes. Each prompt execution can include repeated citation records with a source domain, exact source URL, and citation order, making it possible to identify the publications, communities, and brand pages shaping responses.
Yes. Competitor visibility records capture the tracked competitor, its URL, and whether it was mentioned in each execution, so you can compare mention frequency across the questions you care about.
Moby can help structure recurring briefs, competitor-gap checks, citation opportunity scans, and follow-up measurement around the prompt evidence. The workflow should preserve the exact metric, read window, target, permissions, and review or approval step your team defines.
Monitor the questions that matter, inspect the evidence behind every mention, and use Moby to keep the next content, research, and outreach decision moving with context and control.