Ciny AI

Reporting Automation helps you decide what to repeat or change.

Reporting Automation is in build.

Book a walkthroughAll of Brand Social
In buildStatus today · Agent: Diane

Part of the Brand Social module. Part of this works today and part does not. The scope below says which is which.

Practical purpose

Facebook and Instagram post insights for the next brief.

In build. Decide what to repeat, revise or stop once insights run for your account.

Facebook and Instagram post insights and a learning loop that feeds them into future briefs are built. A report covers the channels that return data.

Service scope

Is this the right fit?

Who this is for

Teams needing a consistent view of published work and available channel results, rather than disconnected screenshots from individual tools.

What to bring

Connected reporting sources, a shared reporting window and agreed definitions for each metric. Note missing channels and attribution gaps.

What you receive

In build: Facebook and Instagram post insights and learning signals for the next plan.

Illustrative example

Compare how a carousel and a static post performed on the same channel before deciding which format deserves another test.

How to evaluate the work

Check completeness and period consistency before interpreting a trend. Platform-reported clicks and verified website enquiries are different observations.

How it works

The workflow, step by step.

  1. Everything published is tracked

    Each piece carries its format, channel, target term and panel score from the moment it is created.

  2. Performance is attached back to the piece

    Not a channel-level average. Facebook and Instagram insights are matched to the individual post.

  3. Formats are compared side by side

    Which format earns attention and which one is habit.

  4. The findings become the next brief

    Engagement becomes learning signals in future prompts, so the next briefs lean toward what worked.

Evidence and scope

Search context and workflow facts.

1,600US searches a month for social media analytics

Search volume: Google Keyword Planner, United States, pulled 31 Aug 2026. It is historical search demand, not a traffic forecast. Other figures describe the documented Ruh AI record, workflow scope or stated limitations. They are not promised results for your business. Read the Ruh AI evidence and measurement limits.

The system behind it

Brand Social insights + Client Dashboard

Post insights and the learning loop are built into the install that publishes for Ruh AI. The live reporting today is the Client Dashboard: captured enquiries, visitors, Search Console impressions and published content.

  • In build
  • built for Ruh AI first
  • approval controls depend on the workflow
Read the first-party Ruh AI case study

Signals in

  • Your data
  • Your brand pack
  • What worked last month

Diane · Brand Social insights + Client Dashboard

Agree the workflow

  • data and access
  • approval and delivery
  • checks and limitations

Questions

Before you get started

Prefer to talk it through? Email hello@ciny.ai.

Does it tell me which channel my leads came from?

It reports post engagement. Enquiry counts and visitor sources sit in the Client Dashboard, and tying a lead to a channel depends on tracking being in place.

Is this a dashboard?

Per-post performance shows in the Hub, and engagement becomes learning signals for the next briefs.

Can it track revenue?

It reports post engagement rather than revenue. Enquiries and visitor sources sit in the Client Dashboard.

Connected work

Work in practice

Read the evidence. Then talk about your business.

Two stories with different evidence levels. Read each source and its limits.

All case studies

First-party measurement

Ruh AI

Organic leads, with the evidence attached.

Weekly organic leads rose from 6 in early July to 20 in the week of 24 August 2026. August paid spend was $0.

  • PostHog lead events, test entries excluded. Google Ads. August 2026.
  • Measured on our own site. Observed results, not a guarantee or proof of causation.
Discuss your goals
Weekly organic leads
6 to 20
Evidence
First-party
Read the study

Published Ruh AI customer story

Rapid Innovation

A more connected marketing workflow.

Ruh AI reports 37% more leads for Rapid Innovation after introducing AI-supported research, publishing and lead qualification.

  • Source: the published Rapid Innovation story on ruh.ai.
  • Publisher-reported results. Measurement period and methodology are not disclosed. Not a measured Ciny result.
Discuss your goals
Reported leads
+37%
Source
Ruh AI story
Read the study

These studies explain the wider work behind Ciny. They do not establish results for every capability. Live, Available, In build and Planned labels still apply.

Explore Reporting Automation. Ask what works today.

Part of this works today. We show you exactly which part before anything is agreed.

Book a walkthroughExplore the case studies