For SEO managers tired of exporting
GSC into spreadsheets
You built the decay-detection workflow yourself. Twice.
It works — whenever you have time to run it. Which is the problem.
ORIGINAL
The meeting was very long and not useful to most people.
REFINED
The meeting ran overlong and added little value.
The quarterly GSC export → spreadsheet → backlog ritual, retired
You know this workflow because you built it. So did we — that's why this exists
Export the last 16 months by page. VLOOKUP against the previous export. Flag the position drops, eyeball which ones matter, cross-reference the keyword tool in another tab, sanity-check the page itself in a third. Write up the priorities. Hand them to content. Watch them enter the backlog. Repeat next quarter — if the quarter allows.
The workflow isn't wrong. It's unrunnable at the frequency decay actually happens. Positions move weekly; your analysis runs quarterly at best. A page that slid off page 1 in April is found in July — and with under 1% of clicks reaching page 2 [SEO consensus], the traffic loss finished compounding months before the spreadsheet caught it. The gap isn't skill. It's cadence — and cadence is exactly what automation is for.
YOUR WORKFLOW, MADE CONTINUOUS
Position and click monitoring
across every article — with drop detection built in
The same analysis you run by hand, running on every page, on every audit pass — with the signals you'd actually compute, not vanity aggregates.
Drop deltas, not snapshots
Per-page position history with computed drop deltas — including the flag that matters most: crossing the page-1 boundary. Trajectories, not point-in-time exports.
Prioritised by opportunity
Every flagged page carries a priority score built from drop severity, impression volume at stake, and classification — a triage queue, sorted by what's worth fixing first, with the scoring visible.
Keyword context on tap
Live volume, intent, and related-term data pulled per audit and per brief — the third-tab cross-reference, done automatically and kept current.
This doesn't replace your stack. It replaces the spreadsheet between the tools
Keep the rank tracker. Keep the crawler. What's missing is the layer that turns their signals into finished, reviewed fixes
- Continuous per-article decay and drift detection on your GSC data
- Content-level technical checks: titles vs. ranked queries, structure, internal links, metas
- Adds the dimensions your stack can't see: ICP alignment and brand drift
- Turns every flag into a brief and a reviewed draft — the fix, not another report
- Runs on data signals, not on whoever has bandwidth this quarter
- Rank trackers: keyword positions — but not what to change in the content
- Site crawlers: infrastructure health per URL — contextless of what each page ranks for
- Backlink suites: authority signals — a different job entirely
- All of them: end at a report; execution is a separate project
- All of them: analysis runs when you schedule it
Your findings stop dying in the content team's backlog
The most demoralizing part of the job isn't the analysis. It's watching the analysis go nowhere
You've written the doc: pages, drops, recommended fixes, business case. Content agrees it matters. Then the new-content calendar eats the quarter, and your Q1 priorities are still open in Q3 — not because anyone disputed them, but because a recommendation is a request for someone else's hours.
Here, the flag is the work order: the brief is researched and written, the draft is generated, and what reaches the content team is a review task, not a project to staff. Your technical findings ship inside the same rewrite — title, structure, and linking fixes applied in the draft, pending their approval. The handoff stops being a negotiation. Refreshed content recovers 60–80% of lost rankings within 30–45 days of publishing [upGrowth, 150+ client sites, 2026] — but only the published fixes count, and publishing is what the old workflow never got to.
What SEO managers ask us
The honest answers.
Run it against your own spreadsheet
Book a 30-minute demo — connect GSC and compare the audit's queue to your last manual analysis. If it doesn't catch things you missed, you've lost half an hour.
✓ 30 minutes ✓ Your real GSC data ✓ Every score shows its inputs