Who this is for
Teams deciding whether to improve existing pages, investigate lost visibility or invest in a new topic before committing to ongoing SEO.
Start with your reported Search Console queries, page coverage and business priorities.
Not a module. This runs before anything is switched on, and you keep the output whether you buy a module or not.
Foundation service
Receive an ordered work list and the reasoning behind it. Pages are ranked by measured Search Console evidence, not by modelled revenue or promised clicks. Queries Google withholds cannot be assessed.
Service scope
Teams deciding whether to improve existing pages, investigate lost visibility or invest in a new topic before committing to ongoing SEO.
Search Console data, target markets, important offers and the current page inventory. Confirm the property, time period and filters with the export.
A page work list from the Focus queue, ranked by measured Search Console evidence and tied to relevant pages. No dollar values are included unless a paid keyword source is connected.
Illustrative example
Two pages receiving impressions for the same buying question may need clearer ownership, not another article. The audit distinguishes that from a genuine missing page.
Judge the audit by traceable findings and an actionable order of work. Subsequent ranking or enquiry changes require implementation and a separate comparison.
How it works
Use queries reported by Search Console without an added impression threshold. Check the date range, sync and missing data before interpreting coverage.
The Focus work queue orders pages from measured Search Console data and freezes a baseline when work starts. Dollar values need paid volume and cost-per-click data, which are off by default.
Search data surfaces coincidental rankings. Brand fit, 0 to 100, keeps vanity traffic off the work list, with its first live run at onboarding.
Page priorities, striking distance and coverage gaps, ranked by the evidence behind each. Click-through and page-overlap checks are in build.
The system behind it
The audit uses the same engine that runs for Ruh AI, synced on demand. On 10 Sep 2026 its Focus queue returned 7 page priorities, and its Create step proposed 0 new pages because none met the evidence bar. A 27 Aug 2026 read found 34 keywords on page two ready for review.
Signals in
Piper · Keyword tracker
What you get
Scope notes
This review connects reported search queries with page coverage and business priorities, then explains a proposed order of work. Tool capabilities vary. The useful distinction is the evidence and reasoning behind a recommendation, not whether the tool is free.
Yes. You keep the work list either way.
Not by default. A dollar value needs paid search-volume and cost-per-click data, which Ciny does not connect by default. The work list is ranked by measured Search Console evidence instead.
Work in practice
Two stories with different evidence levels. Read each source and its limits.
All case studiesFirst-party measurement
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.
Discuss your goalsPublished Ruh AI customer story
A more connected marketing workflow.
Ruh AI reports 37% more leads for Rapid Innovation after introducing AI-supported research, publishing and lead qualification.
Discuss your goalsThese studies explain the wider work behind Ciny. They do not establish results for every capability. Live, Available, In build and Planned labels still apply.
Tell us what you sell and where the work gets stuck. We agree the scope before any work starts.