Surevisible

One platform · every channel

What do you actually know about your brand?

AI-native analytics with a 360° view. Universal reach across search, analytics, ads, revenue, CRM and support, unified into one view per brand, with answers you can act on from the dashboard, Slack or Claude.

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surevisible.com/dashboard
Every brand in one index, ranked by what changed, each with its own traffic trend.

Where reporting tools tap out

01

The context is scattered

Search lives in one tool, analytics in another, spend in a third. Nothing joins them, so the question that spans all three has no home.

02

The tools disagree

A session in one property is not a session in the next. Put two brands side by side and you are comparing definitions, not numbers.

03

The answer arrives late

By the time the exports are reconciled, the month they describe is over and the decision they were meant to inform has been made.

The 360° view

One brand, all the way round

Every source a brand runs on lands in one warehouse at a shared grain. Open a brand and you get the whole picture, not the slice one tool happened to keep.

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surevisible.com/dashboard/brands/searchfit-ai
One brand, all the way round

Surevisible AI

Ask in plain English, see the query

The model picks the question and the semantic layer answers it. Every response carries the query it ran, so you can check the number rather than trust it.

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Which brand lost the most organic traffic last month?

Mailable fell furthest: search clicks down 28.9% on the previous 28 days.

The query it ran

measures: [gsc_clicks]
dimensions: [brand]
compare: last_28d vs previous

Anywhere you work

In the dashboard, in Slack, in Claude

The same definitions behind every surface. Ask in a channel and the answer arrives in the thread. Point Claude at the MCP server and the numbers match the app exactly.

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One semantic layer, six ways in

  • Dashboard

    Boards you assemble

  • Chat

    Plain English, query shown

  • Slack

    Answers in the thread

  • Claude via MCP

    Six tools, same schema

  • Query API

    The layer over HTTP

  • Word and PDF

    For people with no login

Industry research

What scattered data costs

Surevisible does not fix data quality at the source. It fixes the part where the numbers you already pay to collect sit in a dozen tools that will not talk to each other.

$12.9M

the average annual cost of poor data quality to an organisation

Gartner2020

60-73%

of all data inside an enterprise is never used for analytics

Forrester2016

1.8 hrs

a day, per employee, spent searching for and gathering information

McKinsey Global Institute2012

Built for people running more than one

See every use case

What it replaces, and what it does not

Every comparison

vs GA4

Keep GA4. Add Surevisible when the question stops being about one property.

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vs Looker Studio

If you already have someone who maintains the blends and enjoys it, Looker Studio is free and flexible. If that person is you and you would rather not, this removes the job.

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vs a spreadsheet

For a genuinely one-off analysis, use a spreadsheet. For the same analysis every month, the spreadsheet is a job description.

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vs a BI stack

If you need marketing data joined to revenue, build the stack. If you need marketing data to be consistent across brands, this is that, without the quarter.

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vs a generic AI chat

A general chatbot is a good analyst on data you have already verified. The verification is the part this replaces.

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Integrations

Everything your brand runs on

Search, ads, revenue, CRM, support and your own warehouse, all landing in one place.

Google Search ConsoleGoogle Analytics 4Google AdsMeta AdsYouTubeX AdsLinkedIn AdsTikTok AdsMicrosoft AdsAmazon AdsReddit AdsPinterest AdsSnapchat AdsCloudflare Web AnalyticsBing Webmaster ToolsStripeIntercomSentryLinearPostHogClerkHubSpotSalesforcePipedrive
AttioShopifyKlaviyoMailchimpZendeskPostgreSQLMySQLSQL ServerOracle DatabaseMongoDBElasticsearchBigQuerySnowflakeDatabricksAmazon RedshiftClickHouseDuckDBAmazon S3SlackDiscordGoogle DriveGoogle DocsGoogle SheetsNotion
WordPressWebflowContentfulAhrefsSemrushMozAmplitudeMixpanelHotjarSegmentBrazeCustomer.ioTrustpilotG2WooCommerceBigCommerceGoogle Tag ManagerGoogle Business ProfileGoogle Merchant CenterApp Store ConnectGoogle Play ConsoleTypeformZapier
Browse every integration

Pricing

Priced by brands, not by rows

A portfolio does not get harder to answer because you asked more questions of it. It gets harder because there are more brands in it.

Save around 20% paying annually

Studio

An in-house team with a handful of brands to keep honest.

$99per month

billed annually

  • Up to 5 brands
  • 12 months of history
  • Every live connector
Get started

Agency

Most popular

The one most people are here for. Built around a roster.

$499per month

billed annually

  • Up to 30 brands
  • 36 months of history
  • Client-ready report exports
Get started

Enterprise

Unlimited brands, your own deployment, a named contact.

From $2,000per month

billed annually

  • Unlimited brands
  • Full history retention
  • Self-hosted or private cloud
Talk to us

Every tier carries the whole product: the full metric schema, unlimited dashboards, the query API and the MCP server. What changes is how many brands you run, how much history you keep, and how much of us you get.

Compare every plan

Studio$99 per monthAgency$499 per monthEnterpriseFrom $2,000 per month
Scale
Brands530Unlimited
Properties per brandUnlimitedUnlimitedUnlimited
History retained12 months36 monthsFull
Backfill on connect6 months6 monthsAs far as the source allows
Seats310Unlimited
The product
Metric schema
Brand index and movers
Ask in plain English
Charts and dashboardsUnlimitedUnlimitedUnlimited
Board templates
Word and PDF export
White-labelled exports
Building on it
Query API
MCP server
API rate limit60 / min300 / minNegotiated
Self-hosted deployment
Access and support
Workspace roles
Client read-only access
SupportEmailEmail and shared SlackNamed contact
OnboardingDocsGuided setupDone with you
Security review and DPA

Worth a look

Docs

Setup, the metric schema and the API

MCP

Query your own numbers from Claude

Pricing

Priced by brands, not by rows

Story

Why we stopped exporting CSVs

FAQ

The questions we actually get

Which sources are supported today?+

The catalogue spans search, analytics, advertising, revenue and commerce, CRM, support and your own warehouse. Search Console, Google Analytics, Stripe and Clerk are live now, and the rest are marked in the catalogue as they land. It is the same catalogue the app reads, so this page can never be ahead of the product.

How far back does it go?+

Six months on first connect, then continuously forward. Most sources revise recent days after first publishing them, so Surevisible re-pulls a trailing window on every sync rather than trusting the first answer it got.

Do I have to trust the AI?+

No, and you should not have to. Every chat answer shows the query it ran against the warehouse. You can read it, edit it, and save it as a chart: the model chooses the question, the semantic layer decides what the numbers mean.

Can I get the data out?+

Any answer exports to Word or PDF, any chart is a saved query you own, and the MCP server exposes the same semantic layer to any client that speaks it. There is no lock-in worth having.

Are my accounts safe?+

Every connector asks for read-only scopes and nothing else, so Surevisible cannot change a property, a setting or a campaign in any tool you connect. Refresh tokens and keys are encrypted at rest, and revoking access at the source revokes it here at the same moment.

See the whole brand

Search, analytics, ads, revenue, CRM and support, pulled into one view per brand and kept current. Connect the first source in a few minutes.

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