AI prompt log
Turn AI visibility checks into page improvements.
Track prompts, sources, competitors, citations and page fixes without pretending AI visibility is a ranking report.
Log what AI systems actually say about your category before deciding what to change.
What AI visibility actually means for a Shopify store
AI-shaped search results — whether from Google's AI Overviews, Perplexity, ChatGPT Shopping, or similar systems — are increasingly answering product and category questions before a shopper clicks through to a website. For Shopify stores, this creates a new question: when a shopper asks an AI assistant about your product category, is your store mentioned, correctly described, or ignored entirely?
AI visibility is not a ranking metric. It cannot be measured on a dashboard in the same way as organic click volume or position. It is an observational quality — you test prompts, note what the AI says, identify which sources it cites, and compare that to what your store's pages actually say. The log captures those observations in a consistent format so they can be turned into page improvements rather than just screenshots.
The most common finding when stores first run these checks: the AI is describing the category correctly but citing a competitor's guide or comparison page, not the store itself. This usually means the store's own content is less clear, less specific, or less authoritative than the content the AI has been trained to trust. That is a page problem — solvable with clearer product evidence, better category descriptions and more explicit structured data.
How to write effective test prompts
The most useful AI visibility tests use prompts that match real shopper intent, not the store's own product language. Start with the category question: "What is the best [category] for [use case]?" or "What should I look for when buying [product type]?" These prompts reveal whether the AI recommends your category, mentions your store, or cites a competitor's buying guide instead.
Run the same prompt on multiple platforms — Google AI Overview, Perplexity and ChatGPT at minimum — because different systems source content differently. A store may be visible on one platform and completely absent from another. Log each result separately.
Note the exact URL or source that the AI cites. That source is doing something — structurally or in terms of content depth — that the AI trusts. Compare that page to your equivalent page and identify the gap. Common gaps: missing specifications, no clear comparison copy, thin product evidence, or category descriptions that are too broad to be useful in a specific buying query.
Track competitor mentions by name. If the same competitor appears repeatedly across different prompts and platforms, their content has earned a degree of AI trust in your category. Understanding what that content does well is more actionable than trying to understand how AI systems are trained.
How to use the result
The log converts observations into page fix actions. Each row captures a prompt, the platform it was run on, which source the AI cited, which competitor was mentioned, and what page fix follows from that. Download the log as CSV to share with a developer or content writer, or to track fixes over time.
Do not treat the log as a ranking report. AI outputs are not deterministic — the same prompt can produce different results on different days. Use the log to identify patterns across ten or more checks, not to track individual changes.
Do not paste private customer data, full order exports or anything sensitive into browser tools. Keep prompts focused on publicly available category information.