Tracks ranking decay across existing content libraries and prioritizes pages to refresh by revenue-at-risk, sold to enterprise SEO teams managing 500+ page libraries. · SEO content optimization
DEAD SLOW · CAUTIOUS
6.0 ShipScore / 10
Verified category spend is strongest; Google-data dependence and clone wave weakest.
Condition: Land 3 paid pilots at $500+/mo with enterprise teams proving revenue-at-risk math against their own GSC data before building beyond a dashboard.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
5
C5 — core signal is Google Search Console data; algorithm/API shifts dictate product
T7 — productized SaaS, but 500+ page enterprise accounts need sales touch
Scale
7
S7 — global enterprise SEO teams, high-ACV seats, no local limit
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry
How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need
Is demand proven with money rather than vibes?
T — Time
Can income detach from your hours, or did you buy yourself a job?
S — Scale
How far does it reach without linear cost?
Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.
02 — The pace test — $1M/yr
At $499/mo (assumed category price), you need 168 subscribers for a $1M/yr pace.
EarlySEO verified at $100k MRR proves real, recurring spend on SEO tooling.
Keytomic verified at $18k MRR — second paying data point in the lane.
Five distinct decay-refresh tools launched recently: builders see the same signal.
Zero Reddit signals and essentially no complaints — pull for THIS framing is unproven.
05 — Risks
Google algorithm or GSC API changes can invalidate the decay model overnight.
Revenue-at-risk requires analytics/CRM attribution buyers may refuse to connect.
Enterprise sales cycles will starve a bootstrapped build before payback.
Semrush/Ahrefs-class incumbents can ship decay prioritization as a checkbox feature.
06 — Kill switches — what kills this with one decision
Google Search Console API quotas or data granularity policy — Core decay signal degrades; product loses its only differentiated input.
Ahrefs/Semrush/DataForSEO rank-data pricing or terms — Unit economics break if bulk keyword tracking cost spikes at 500+ pages.
Incumbent SEO suite ships revenue-at-risk refresh queue — Enterprise buyers consolidate; standalone tool becomes an unrenewed line item.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot tell whether EarlySEO's $100k MRR is growing or eroding.
No data on enterprise SEO budget approval for a single-purpose decay tool.
Unknown whether revenue attribution per page is technically reliable at scale.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-19.
08 — The wedge & the next step
Sell the CFO-legible number, not the SEO feature: revenue-at-risk per page, tied to their own analytics, for libraries too large to audit manually — a scope the indie GSC clones can't handle.
Cheapest next step: Manually run the decay + revenue-at-risk analysis on one 500+ page site's exported GSC data and pitch the resulting priority list to three enterprise SEO leads for a paid pilot.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 6.0 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
One evidence-backed gap a day, free
Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.
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