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Quattr Platform

The AI visibility platform built on your first-party data

Quattr joins your first-party performance and business context with its daily view of search and AI surfaces. Every analysis inherits the right scope, permissions, freshness, and evidence before an Agent returns a decision.

Trace one decision Review data & controls

Read-only analytics · Provenance attached · How your data is handled

A settled decision Illustrative product demonstration
Why did non-brand clicks fall, and what should we do next?
Next moveRefresh the two how-to templates losing first-page positions before the next content cycle.
The drop is real (−11.8%, p = 0.004) and concentrated in how-to guides, AI Overview inclusion rose on the same queries.
⚠ Observational, correlated, stated as correlation
GSC as of 2 days ago · SERP observed daily Trace this decision ↓

scope acme.example · US · non-brand · organic  ,   12 weeks vs prior  ,   evidence attached

4.9/5on G2 · 67 verified reviewsG2 Users Most Likely To RecommendG2 Best Usability
  • Bluehost
  • Simpplr
  • Coursera
  • Gaylord Hotels
  • Housing.com
  • Men's Wearhouse
  • Eightfold.ai
  • HostGator

See the Platform at work

Trust the decision because you can trace it.

Illustrative product demonstration

Start at the recommendation. Follow it back through the evidence, business context, operations, sources, and permissions that made it possible.

The decision12 weeks vs prior
"Why did non-brand clicks fall, and what should we do next?"
Next moveRefresh the two how-to templates losing first-page positions before the next content cycle.

The drop is real and concentrated in how-to guides. AI Overview inclusion rose on the same queries, correlated, stated as correlation.

⚠ Observational

The answer is useful because every layer can be inspected.

TRACE 01 · EVIDENCE Non-brand clicks −11.8% vs prior 12 weeks, real, p = 0.004. Concentrated: how-to guides −22.4%; other page types flat (n.s.). Not seasonal, the same weeks last year were flat. Limit: AI Overview correlation is observational, not causal.
TRACE 02 · BUSINESS CONTEXT Resolved before analysis, attached to the answer:
tenant acme.examplesegment Core Productsmarket USnon-brand excludes "near me"weeks end Saturdaygoal Purchase
TRACE 03 · OPERATIONS & RULES gsc_dimensional_trend + market_share_breakdown → significance_check Named, bounded operations, never freeform queries. Each inherited the same rules:
scope resolved firstsources declaredsignificance before "it changed"observational before causal
TRACE 04 · SOURCES & ACCESS
Search Consoleyours · read-only · lags 1 to 2 days Results pageQuattr-observed · daily AI surfacesQuattr-observed · daily
Read under OAuth 2.1 with your existing Quattr permissions, bound to your organization. Nothing written.
"What's our paid share of this market?", Declined: Google Ads isn't connected for this tenant, so paid share can't be read. Connect it (read-only) or ask for organic share of tracked demand. Refusal, with the reason, never an approximation

Your data. Quattr's observations. Your definitions.

Three different inputs, kept visibly different. Select one to see what it contributes, what it unlocks, and what the Platform refuses without it.

Your first-party evidence, read with your permission
Search Consoleconnected · lags 1 to 2 daysGA4 / Adobe goalsconnected · your named goalsGoogle Adsnot connected · availableServer logsaccount-dependent
ContributesYour ground truth, clicks, queries, configured goals, spend, crawler fetches.
UnlocksFunnel and revenue reads bound to your goals; anomaly checks on your own demand.
Refuses without it: No configured goal → no revenue claim. Google Ads not connected → paid questions are declined, with the reason.
Source availability is account-dependent, connected sources are read with your permission, never assumed.
Quattr's observations, the daily outside view
Results pageobserved dailyAI surfacesobserved dailyLighthouseper page and templateSite crawlslink graph · indexability
ContributesWhat searchers and AI answers actually see, for you and your tracked competitors.
UnlocksSearch market share, AI visibility, SERP features, and competitor movement.
Refuses without it: An untracked market → no share verdict. Share stays CTR-modeled and directional, never presented as ground truth.
Source availability is account-dependent, connected sources are read with your permission, never assumed.
Your business context, resolved before anything runs
SegmentsOverall Market · Core Products · Getting startedNamed goalsPurchase · Trial signupCompetitorsthree tracked domainsMarkets & conventionsUS · UK · DE · weeks end Saturday
ContributesYour definitions, attached to every answer so scope is never a guess.
UnlocksTwo organizations asking the same words get correctly-scoped, comparable answers.
Refuses without it: Ambiguous scope → resolved from your context or asked back, never silently assumed.
Source availability is account-dependent, connected sources are read with your permission, never assumed.

Every source, its connection and freshness →

Your categories, intents and data, under your reports

Rules and labels you set sort pages into your categories and queries into your intents, and your reports break down by them. Where your account has them, Platform adds GSC Bulk Export as an organic source and shares work to Slack and Jira.

Search intents · Manage Queries

Your queries in your own intents

Label sample queries with your own intents and add rules; Deploy retrains the model and reclassifies every existing and future keyword.

Classification applies when you deploy, never live.

Search Console · GSC Bulk Export

Your Search Console data from Bulk Export

Where your account has it, one toggle switches an organic trend's source to GSC Bulk Export.

Organic only; availability varies by account.

Available where your account has GSC Bulk Export.

Search Console as a data source

Lists · Manage Lists

Saved lists of pages and keywords

Keep URL and keyword lists in Manage Lists, typed, uploaded as a CSV or saved from a drill-down export.

Integrations · Slack and Jira

Share to Slack, file to Jira

Share a saved trend or opportunity to a Slack channel, or file a Jira bug whose ticket id then shows on the item.

Available once Slack or Jira is set up for your account.

Categories come from designs, rules and assignments you approve; intents from your labels and rules. Deploying restates your reports with them.

One operating standard across every analysis.

Analyses are named, bounded operations, not freeform queries from a chat model. One specimen, inspectable:

market_share_breakdown
Answers"Where does share concentrate, and did it really move?"
ScopeResolved before filtering, segment, market, dates, medium.
Sourcesdeclared, search market share tracking · Search Console
ReturnsSegment table · deltas · significance verdict · freshness.
RefusesA missing source → decline with the reason. A causal claim → labeled observational.
The rules every operation inherits
p<.05Significance before "it changed"
⚠Observational before causal
as-ofFreshness stated per source
declineRefusal over guesswork
Platform supplies data, context, permissions, and bounded analyses. Skills define expert operating steps. Method defines the evidence and decision standard. Agents turn those capabilities into repeatable jobs. Skills → Method → Agents →

It knows what it can read, and where to stop.

OAuth 2.1 · read-only analytical scope · inherited Quattr permissions · organization isolation at the data layer · allowlisted clients · audit-logged

READ

The sources connected for your organization, nothing beyond them. Unavailable data returns "not available" or a reasoned decline.

WRITE

The Quattr analytical plane is read-only. Actions through another connected MCP or destination have their own permissions and approval path.

SCOPE

Yours. OAuth 2.1 sign-in with no API keys pasted into the client; conversations bound to one organization; existing Quattr permissions inherited.

Read the security details → See a refusal in the trace ↑

The client changes. The answer contract does not.

The same decision card, wherever your team asks. Client capability differences are stated plainly, never collapsed into "works everywhere."

Claudeconnected via the Quattr Agent Plugin
The drop is real (−11.8%, p = 0.004), concentrated in how-to guides, refresh the two templates losing positions. acme.example · US · non-brand GSC as of 2 days ago ⚠ observational

Built on the Agent Plugin standard, Claude, ChatGPT, Codex, and verified clients. Each client connects with the capabilities documented for it. See connection details →

See how Quattr grounds AI search in your data and business.

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