How can we show up in AI search results better? Our product details are incorrect when we ask, we don't appear often, and we don't know which sources are causing this.
Thinking...
⌃
I should inspect the channel before proposing new work and reuse any matching AI-search data already present.
The channel has an AI Search Audit dataset with 3,000 answers and citations, but I still need the product and claim to classify.
list_datasetscount_documentslist_tasks
I found 3,000 existing ChatGPT, Gemini, and Perplexity answers in AI Search Audit, including their cited sources. I can classify the answers against the product truth, then identify which domains overlap across inaccurate answers.
Which product should we test, and which inaccuracies should I watch for?
Here's the product: lumera.com/products/oil-control-moisturizer. They say it's not good for oily skin when it is.
Thinking...
⌃
I have the product URL, the exact claim to evaluate, and a matching dataset with the required answer and citation fields.
Before authoring the enrichment task, I need Siftree's current task contract and model guidance.
load_skillread_skill_resourceweb_fetch
I have what I need. I'll create an enrichment task that classifies the 3,000 existing answers, preserves their citations, and flags claims that incorrectly say the moisturizer isn't suitable for oily skin.
Approval requiredcreate_task
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Task: Classify AI search claims for Lumera Oil Control Moisturizer
Creates a saved task. The task will not run as part of this action.
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The task is saved but has not run. I'll queue a run now so we can generate the report from the enriched documents.
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Task ID: task_ai_search_audit
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