PPC → SEO Arbitrage Prioritizer
Free, no signup. Find non-brand paid terms ranking 4–15 organically, then estimate the paid clicks an improvement could replace. The reverse tab turns converting paid-only terms into content-brief starters.
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Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
opportunities. Savings are modeled at 70–100% of incremental organic clicks that could replace paid clicks; validate with a controlled test.
| Term | Organic pos. | Paid cost | Replaceable clicks | Modeled $/mo |
|---|
converting paid-only topic clusters.
| Topic | Terms | Conversions | Paid cost | Brief direction |
|---|
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Runs entirely in your browser — nothing you paste is uploaded or stored. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
How to use it
- Paste an Ads search-terms export with clicks, cost, conversions, and ideally Avg. CPC.
- Paste a GSC Queries export for the same period and scope.
- Add brand terms to exclude and choose a target organic position from 1 to 10.
- Select Prioritize opportunities. Review modeled savings and converting paid-only briefs separately, then export the useful rows.
Sample report Example data — engine calculation
This static example was calculated with fictional rows and a target position of 3. Live runs fit a site-specific CTR curve from eligible imported GSC rows and fall back to the generic curve when the export is too sparse.
What the results mean
Replaceable paid clicks is the smaller of current paid clicks and modeled incremental organic clicks. Modeled monthly savings applies a 70–100% range to replaceable clicks times CPC; “monthly” assumes the exports represent a month. Content briefs aggregate converting paid-only terms by a transparent stem cluster and retain conversions and cost as evidence.
How it works
The engine excludes aggregate and supplied brand matches, then joins each Ads term to at most one exact or near-duplicate GSC query. Positions outside 4–15 are not savings candidates. For eligible rows, it estimates CTR at the target position, calculates positive incremental clicks, caps them at paid clicks, and values them at observed or derived CPC. Unmatched converting terms are clustered by query stems for the reverse content path.
Features
- Two-way workflow: paid-spend replacement scenarios and paid-only content evidence.
- Editable target position and typo-tolerant brand exclusion.
- CSV exports with the assumptions and underlying metrics.
- Browser-only processing.
Limitations
- The fitted site CTR curve still does not model SERP features, device, country, or query-mix changes; sparse imports fall back to a generic curve.
- Near-duplicate matching is lexical; synonyms can remain unmatched.
- Projected rank, replacement rate, and savings are scenarios—not causal or financial forecasts.
- Content-brief text is a starter based on stem clusters, not a SERP or intent analysis.
Frequently asked questions
Which terms qualify for modeled PPC-to-SEO savings?
A non-brand Ads term must match an exact or near-duplicate GSC queryA free Google service that reports how a site performs in Google Search and surfaces problems with how Google crawls, indexes, and serves it. It's first-party data straight from Google — but you don't need it to appear in results. at average position 4 through 15. The projected incremental organic clicks must be positive, and the Ads row needs a usable CPC.
How are modeled savings calculated?
The tool estimates clicks at the selected target position, subtracts current organic clicks, caps replaceable clicks at current paid clicks, then multiplies by CPC. The displayed range is 70 to 100 percent of that amount.
Are the savings a forecast or budget recommendation?
No. They are a prioritization scenario. Organic improvement is uncertain, paid clicks may be incremental, and conversions can change when ad coverage changes.
What creates a content brief candidate?
A non-brand paid search term with at least one conversion and no exact or near-duplicate GSC query is grouped with similar missing terms using transparent stem overlap.
Why should I add brand terms?
Brand search often has unusual CTR and paid-defense economics. Adding brand terms excludes exact, contained, and typo-tolerant brand matches from both opportunity paths.
Feature requests for Ppc Seo Arbitrage
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Common issues & how to fix them
- Information Paid spend can be displaced by an organic page Fix: Test reducing paid coverage on non-brand terms where the organic page already converts, while holding out a control to measure incrementality.
- Warnings Organic page ranks below the target position Fix: Improve the mapped organic page until it reaches the modeled target position before counting paid-spend displacement as achievable.
- Warnings Projected savings rely on weak conversion value Fix: Replace assumed conversion value with observed margin-adjusted conversion data before using projected savings for budget decisions.
- Needs review Arbitrage opportunity has low evidence confidence Fix: Increase matched query, conversion, and ranking evidence and run a paid holdout before acting on the opportunity estimate.