Organic
How to find striking-distance ranking wins
striking-distance-sprint a saved expert workflow your assistant follows, in Claude, ChatGPT or Cursor
Find the quick wins sitting just off page 1 and size them with THIS site's own fitted click-through curve, a prioritized keyword→page worklist in about two minutes.
Try it
quick wins this week
Private beta Part of the quattr-ai-search plugin, rolling out org by org. Request access ↗
Say any of these
quick winsstriking distancelow-hanging fruitkeywords close to page 1what should we push nexteasiest traffic to winpositions 8 to 20where's the fastest upside
You never name the skill or a tool, the assistant routes on what you asked. These are the phrasings it recognises for this one.
And when it stays out of the way
Not for content-decay or refresh questions ("which pages decayed"), for title/meta rewrite audits, or for "why did we drop" causes.
Use it instead of keyword-gap or content skills when the ask is rank-nudge upside on keywords we already rank for; use search-pulse instead when they want just the headline.
What it runs
ctr_curve_modelstriking_distance
2 governed analyses, composed and scoped for you. Named here for transparency, not because you have to ask for them.
The numbers behind it
Metrics it reads, each defined in the reference
AI-Overview haircutAverage positionExpected CTR at positionFallback CTR priorHead-to-head rank gapKeyword rank gapModeled CTR gain to a target positionOrganic impressionsPosition-bucket supportPotential clicks, AI-Overview-adjustedPotential clicks, before the AI-Overview discountStriking-distance candidatesWeighted CTR at a position bucket
Reports these numbers feed
AI Overview and SERP feature reportCannibalization reportCompetitor search reportContent decay reportContent performance reportCTR opportunity reportInternal linking reportKeyword ranking and movement reportMonthly executive search reportPaid and organic overlap reportSearch market share reportSearch opportunity reportSERP volatility and algorithm update reportTechnical SEO audit reportWeekly search report
What it refuses to do
- Upside numbers are MODELED from the site's own fitted curve, the word "modeled" appears wherever they appear; never round up into promises.
- Never quote a generic industry CTR table, even as context, the whole point is the per-site fit.
- If the curve fit flags low-confidence buckets inside the chosen band, say the affected rows' sizing is weak rather than dropping them silently.
- Impressions history crossing Sept 2025 carries the num=100 reporting-change caveat when the window is stretched that far (keep windows recent).
What the answer looks like
What should we push next?
Analysis plan, every step, resolved for you
- Routed to the governed workflow
striking-distance-sprint - Dates bound explicitly
Jul 1 to Jul 31, 2026 - 2 analyses queued in parallel
ctr_curve_model · striking_distance - Honesty gates armed
scope echo · freshness
26 keywords sit at positions 8 to 20 with real upside, sized by this site's own click curve, AI-Overview haircut applied.
- Candidates
- 26 keywords positions 8 to 20, non-branded
- Modeled upside
- ≈3.8K clicks/mo own fitted CTR curve, 30% AI-Overview haircut, modeled, not promised
- Top pick
- "comparison checklist" position 9 → target 5 · ≈420 clicks/mo upside
Jul 1 to Jul 31, 2026organicnon-branded
⚠ Observationalas of Aug 1, 2026 (GSC lags 1 to 2 days)IllustrativeOpen in Quattr ↗
A two-minute worklist: 26 keyword→page pairs, biggest haircut-adjusted upside first.
A simulated conversation on fictional data. Scope, freshness and the ⚠ Observational marker are attached by the same director that renders every demo here, not written by hand.
Want this Skill running on your own accounts? Every Quattr customer works with an AI Search Strategist who sets it up with you.