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Utilities

How to ask Quattr what it can do for your setup

quattr-iq a saved expert workflow your assistant follows, in Claude, ChatGPT or Cursor

The Quattr platform brain, load this alongside ANY work that touches Quattr data so every analysis binds the right entities, dates, sources and vocabulary.

Try it

what can Quattr do here

Private beta Part of the quattr-ai-search plugin, rolling out org by org. Request access ↗

Say any of these

  • how is this measured
  • can I trust this number
  • what is market share here
  • prompts vs keywords
  • what is the source of your data
  • which data source should I use
  • why doesn't this match GSC
  • what can Quattr do
  • how does share of voice work

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 current-status checks a single tool answers directly ("is the data fresh right now", "what's connected", "list my dashboards"), for non-Quattr analytics products, or to answer a data question itself, it teaches; sibling skills and tools answer.

Use it instead of quattr-troubleshooter when you want to understand semantics; use quattr-troubleshooter instead when something looks broken.

What it runs

  • find_relevant_analysis
  • ai_visibility_overview
  • ai_visibility_citation_audit
  • ai_visibility_trend
  • ai_visibility_competitors
  • ai_visibility_drilldown
  • market_share_overview
  • growth_vs_market_share
  • market_share_breakdown
  • competitive_overview
  • competitive_trends
  • competitive_keyword_ranking
  • describe_data_sources
  • find_relevant_content
  • explain_analysis

15 governed analyses, composed and scoped for you. Named here for transparency, not because you have to ask for them.

The numbers behind it

What it refuses to do

  • This skill never answers a data question from memory, it routes to a verb or sibling skill.
  • Never present an unqualified market-share number, an unlabeled AI-surface metric, or a blended branded/non-branded story: those three rules are the platform's reputation.
  • Scores are relative ("who are you trying to beat"): healthy relevance ≈65 to 70, content quality → 100, launch at high-50s/60s, re-optimize on real signals 7 to 30 days post-launch; scores are content-side, interpretation is authority-adjusted.

What the answer looks like

Skill: Ask Quattr anything about your own setup. Simulated · illustrative

How does share of voice work?

Analysis plan, every step, resolved for you

  • Routed to the governed workflowquattr-iq
  • Dates bound explicitlyJul 1 to Jul 31, 2026
  • 2 analyses queued in parallelexplain_analysis · describe_data_sources
  • Honesty gates armedscope echo · freshness

Two different surfaces answer to 'share of voice', the platform brain keeps them apart.

SOV (answer engines)
your citations vs tracked competitors tracked prompts on ChatGPT, Perplexity, Gemini, AI Mode
Search market share
a different metric entirely CTR-modeled, of tracked demand
Never conflated
AI Overviews ≠ answer engines Google's on-SERP box vs external engines, named in every card

Jul 1 to Jul 31, 2026

⚠ Observationalas of Aug 1, 2026IllustrativeOpen in Quattr ↗

Suggested analyses

ai_visibility_overview

Citation rate, share of voice, mentions and sentiment per answer engine, the scorecard behind the phrase.

date_rangetracker

market_share_overview

The search-side equivalent: CTR-modeled search market share of tracked demand, versus tracked rivals.

date_rangesegment

Same words, different surfaces, every number arrives labeled with its basis.

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.

Consult an expert