Track each product across every reporting period
Follow ASICS SKUs across the same prompts, models, and completed reporting window.
See which products AI search recommends in your category. Track competitor shortlists, the buyer questions you miss and the sources behind each recommendation.
| Row | |||||
|---|---|---|---|---|---|
36% | 31% | 29% | 30% | 37% | |
29% | 27% | 18% | 26% | 30% | |
22% | 23% | 20% | 23% | 27% | |
13% | 20% | 21% | 21% | 15% | |
18% | 13% | 14% | 15% | 12% | |
9% | 13% | 10% | 10% | 12% |
| Prompt | #1 | #2 | #3 | #4 | #5 |
|---|---|---|---|---|---|
| Which daily trainer suits high mileage weeks? | |||||
| Best cushioned running shoes for beginners | |||||
| Which running shoe should I buy for a first marathon? | |||||
| Which trainer holds up best on wet roads? |
| Brand | Domain | Relative traffic | Share | Monthly visits |
|---|---|---|---|---|
| brooksrunning.com | 26% | 1.3M | ||
| hoka.com | 21.2% | 1M | ||
| newbalance.com | 18.7% | 899k | ||
| asics.com | 15.3% | 738k | ||
| saucony.com | 12.9% | 618k | ||
| asics.com | 5.8% | 281k |
Showing ASICS, All Models, Aug 4, 2026 - Sep 2, 2026
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A shopper can ask an AI assistant for a shortlist, see only competing products, and disappear before your analytics begins.
Start with a category prompt, compare each supported model, and inspect the sources behind the products it recommends.
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Compare product mentions, gaps by AI model, and cited sources using the same buyer questions.
Open the exact category prompt and compare every named product with your missing brand.
Separate a strong portfolio total from the individual SKU that never enters the answer.
Claude and Microsoft Copilot tracking are available as an add-on.
Inspect the publications and communities grounding the shortlist, then choose a measured next step.
Observed citations guide investigation. They do not prove future inclusion.
Keep the same SKUs, prompts, models, and reporting window attached to every movement.
Follow ASICS SKUs across the same prompts, models, and completed reporting window.
“I really appreciate the team at AI Peekaboo. We have their contact details on Slack, and they're always available to jump on a call. The usability of the platform is a big plus for me. The dashboard is super easy to use, and the UX/UI is really user-friendly. The information provided in terms of AI insights and competitor analysis is going to be crucial in the agentic commerce era. AI Peekaboo automates crawling through different LLMs, which used to be a manual task for us. The dashboard setup makes it easy to rank competitors versus us, and it's helpful to have direct contact with the team to answer questions and get support. Setup was super easy for my team member, with great onboarding support, including weekly calls with the AI Peekaboo team.”

Ellie BradfordContent ManagerPeekaboo tracks supported consumer interfaces and offers Claude API answers with web search. Scores and sources come together in a dashboard your whole team can read.
For most online stores, three names come up consistently: Reviews.io, Trustpilot and Judge.me. Reviews.io stands out for verified buyer reviews and
Captured from actual interfaces
Processed in real time
Track brand performance
Track prompt performance across every supported LLM from one workspace.
Book a demoUse your AI visibility data in the tools you already work in. Every paid plan can connect supported AI clients through MCP or use the REST API.
Check where we show up when buyers ask an AI for an agency, then tell me what to publish next.
Read 7 answers. Found 3 gaps worth fixing, and wrote the plan.
“It gave us an instant snapshot of value: within a short space of time we had something concrete enough to build benchmarks from, which is rare for a space this new. The team is also genuinely hands-on: they’ve shaped parts of the product around our needs off the back of our visibility data, rather than handing over a fixed tool and walking away. AI visibility is one of the hottest topics right now and they’re moving faster than most established brands could, guiding the conversation on what the data should actually do rather than just reacting to demand.”

Richard BallHead of Demand GenerationRead on G2Move the sliders and your price updates as you go. Every plan starts at $30 a month.
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1 brand 40 prompts checked every 2 days on 3 AI models
Free report: no credit card. Monitoring is separate. Book a demo.
Included in every plan
Change plans or cancel from your dashboard, any time.
Each brand gets its own prompts, competitors and dashboard.
The questions you want to rank for in AI answers.
Track fewer models and your price drops with them.
How often we re-run every prompt across the models you track.
Want a plan that suits your budget? Adjust the number of prompts and tracking frequency
Prioritize the product questions, competitors, and source patterns with the highest decision value.
Peekaboo became an essential part of our marketing intelligence stack. It gives us clear visibility into where and how our brand is mentioned across LLMs, and helps us identify the content being picked up and how we compare to competitors.
We knew LLMs were driving traffic, but we had no visibility into where we appeared. Peekaboo gave us clear insight into our mentions, our gaps, and opportunities. It is now essential for tracking and improving our share of voice across AI platforms.
The team behind Peekaboo has been great to work with. They're quick to help, open to feedback, and genuinely care about improving the product. It feels like they're partners in our success, not just software brands
Prompt and brand limits follow your selected plan or monitoring configuration. Prioritize product and category questions with the highest decision value, and review current pricing for the coverage your catalog needs.
Any account with REST API access can pull tracked prompts and scores into another system. There is no native Shopify or PIM connector.
If the supported surface returns it as a citation, inspect the thread or review beside the prompt, model, and competing entities in that observed response. Recurrence can guide prioritization, but it does not prove that one source caused the answer.
Use AI product recommendation tracking to see which competing products and sources appear in captured answers.
Check my AI Visibility2 minutes. No credit card.
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