Vertical stratigraphy of twelve weeks of asks.
QuerySilt
AI Search Query Diagnostic Platform
Your Users Already Told You What They Couldn't Find
Understand Failed Queries. Improve What Users Find. Mine The Queries Your Product Couldn't Answer.
Void
Depth
Surface
Emerging questions · Jul 2026
Intent compression · live silt
Surface · emerging asks
- Delete a teammate
- Remove workspace member
- Revoke user access
- Former employee still has access
True intent
Revoke workspace access for deactivated members
Search still routes to “Delete personal account” — wrong document, high click-then-bounce.
Scroll the bore or Drill — deeper strata compress rewrites into one intent.
Core relabeled
Public scan · sediment intake
Drop logs into the bore — watch silt settle
CSV, JSON, or search / AI chat exports. No upload cards — a feed chute into a live mini-core.
Settling preview
Awaiting silt — zero-result · rewrite trails · voids · misroutes will layer here.
Sample findings · Jul 2026
Twelve weeks of help-center silt on the tape
Zero-resultSSO revoke after offboarding41 expressions · void
MisrouteDelete teammate → personal accountdoc match wrong
EmergingUsage-based billing FAQafter 2026-06 launch
ResolvedExport CSV timeoutvalidated 2026-07-08
Diagnostic layer
Not zero-result counts — answers that change the product
QuerySilt is a Query Intelligence & Retrieval Quality Layer. Failed Queries Are Product Feedback.
- What users wanted — true intent under the silt of rewrites
- Where it failed — intent, document, answer, click, or resolution
- Docs or retrieval? — content gap vs stack misroute
- What to prioritize — volume × persistence × business impact
- Did the fix work? — re-eval against the same acceptance queries
Query Geology
Instruments for sedimented search failure
Each surface uses a different spatial structure — cores, trays, atlases, spectrometers, pits, tunnels, forges, tides, deltas. Never the same stage twice.
Layers where many phrasings compress to one need.
Fossil paths left when users rewrite the same ask.
High-frequency questions with zero coverage.
Stable docs that already answer an intent.
Breaks where the stack snaps mid-spectrum.
Intent volume rising before support tickets.
Real failed queries frozen for retrieval tests.
Decide
What the silt tells you to do next
Fix retrieval
Rewrites, ranking, or index gaps when docs exist but users never land.
Fill knowledge
Gap Briefs for intents with no coverage — owned by Docs, Support, or Product.
Adjust IA
When terminology and navigation teach the wrong mental model.
Not this
What QuerySilt deliberately is not
Not a new search engine
We diagnose the stack you already run.
Not generic analytics
Failed queries as product feedback — not vanity charts.
Not meeting editions or brick walls
Query cores, strata, voids — geology for retrieval.
Diagnostic toolkit
Open every Query Geology instrument
Built for B2B SaaS, AI support, developer tools, help centers, and enterprise search.
Failed Queries Are Product Feedback.
The Intelligence Hidden In Accumulated Queries.
QuerySilt is the Search Intent Diagnostic Layer for B2B SaaS, AI support, developer tools, and enterprise search — not a new search engine. Mine zero-result, rewrite, and retrieval failure silt into decisions.