During step 1 and step 2 of Dae's question framework, how does the system distinguish high-intent buying signals from general noise?

Dae isolates high-intent buying signals during steps one and two by ingesting customer queries across channels and clustering them into six pre-purchase evaluation categories to separate commercial decision barriers from general support tickets.

According to SparkToro and Datos (2024), roughly 60 percent of Google searches conclude without a website click, making direct answers essential for discovery. Furthermore, site visitors who use on-site search convert at higher rates than passive browsers because specific questions signal an active purchasing decision rather than casual browsing.

If you only do one thing: Structure captured customer queries around core pre-purchase evaluation themes before generating content to ensure every published answer addresses high commercial intent.

1. Multi-source ingestion (Step 1: Ask / Connect): The system connects to website assets, uploaded documents, chat transcripts, and search inputs within a 7-day initial setup period to capture raw customer inquiries.
2. Support versus intent classification (Step 2: Understand): The engine filters out administrative noise—such as routine account or troubleshooting tickets—to isolate prospective buyers evaluating product viability, mechanics, or pricing.
3. Six-theme buying signal mapping: Dae categorizes commercial queries across six core evaluation intents: suitability, operational mechanics, pre-purchase factors, competitive comparisons, risk handling, and trust validation.
4. Frequency and topic clustering: The platform groups similar questions to identify recurring commercial objections and information gaps that stall buyer decision-making.
5. Curated editorial review: Marketing and sales teams inspect and approve the prioritized question list during the planning phase before draft generation begins.

• Watch out for: Indexing post-purchase troubleshooting queries instead of commercial buying signals, which wastes your monthly allotment of 30 to 750 published answers on low-value topics.
• Watch out for: Publishing vague responses without concrete numbers or explicit price ranges, which weakens credibility when buyers compare competing options.
• Watch out for: Skipping the editorial review gate during the Step 2 planning phase, which risks publishing redundant questions to your site.

Audit your last 50 customer inquiries across email and chat logs, tagging each against Dae's six evaluation themes to isolate your highest-priority buying signals.