Which Pages Should I Work On?
Free, no signup. Build a modeled to-do list for pages with high-impression queries just outside the top results, CTR gaps, or stable-ranking decay.
Website properties only: do not paste an Instagram, TikTok, X, or YouTube platform-property export. The prioritization model is calibrated for pages on a website, not social posts.
Optional shortcut
Load directly from Search Console
Connect for this browser session, choose a property, and load two comparable 28-day periods. You will still choose Analyze below.
Privacy, dates, and data limits
Google's read-only access token exists only in page memory. It is not stored, sent to this site, used by telemetry, or transferred to Traverse. Ending the session clears the token and loaded analyzer data without revoking your Google grant.
This shortcut supports website properties only. Search Console platform properties for Instagram, TikTok, X, and YouTube are excluded because this analyzer's URL cohorts, page priorities, and cannibalization checks are designed for pages on a website, not social posts.
Dates use Search Console's Pacific-time calendar: 28 complete days ending two days ago, compared with the immediately preceding 28 days. Search Console returns top rows rather than a guaranteed exhaustive export; this shortcut also stops at 10,000 top rows per table to match the analyzer's safety limit. Upload an export when you need different filters or a separately preserved source file.
Optional value context
Add a one-session GA4 value overlay
Connect GA4 separately to identify scored pages with supplied key-event or revenue evidence. This does not change the GSC score.
Privacy and interpretation
GA4 is a separate analytics.readonly grant and token from Search Console. The token stays only in page memory, and requests go directly from this browser to Google's Analytics APIs. No token or GA4 row is sent to this site, telemetry, or Traverse.
The overlay loads up to 10,000 top value-ordered landing-page rows for the same 28 complete days ending two days ago. If the property has more rows, this is a partial overlay ordered by key events, revenue, then sessions. Revenue is shown in the property's source currency; this tool does not infer or convert a currency. Ending GA4 removes only its token, input block, and value context—the GSC input remains.
Paste GSC Pages first, GSC page×query export second; an optional prior Pages period goes third. Separate data sets with a line containing ---. Files never leave your browser.
Optional context: add a prior-period GSC Pages table and/or a GA4 landing-page table with Landing Page, Sessions, Key Events, and Total Revenue. Either optional table can come third or fourth.
Search Console export limit: the UI can return only about 1,000 representative rows, and privacy-anonymized queries are omitted. Treat every analysis as a view of the exported sample, not the complete query set.
Site passport Local context for this saved site
Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Rate this tool
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 the current GSCA 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. Pages export.
- Add
---, then paste the current combined page-by-query export for the same scope. - Optionally add another separator and an equal-length prior Pages export.
- Select Analyze. Review the highest scores, then use each row's reasons and query evidence to choose the actual work.
Example result Illustrative data
The values below are fictional and exist only to explain the output. Modeled upside is not a traffic forecast.
Pagehttps://example.com/technical-seo-audit/
- “technical seo checklist” is in striking distance at position 7.4.
- “website audit template” has a CTR gap against the modeled curve.
- Clicks declined 18% while position held.
What the results mean
Score sorts the list; it is a blend of signals and has no universal good/bad threshold. Upside clicks estimates the difference between actual clicks and a modeled CTR after moving three positions. Reasons identify striking distance, a CTR gap, or stable-ranking decline. Queries contains all supplied query rows joined to that normalized page, not only the trigger queries.
How it works
The engine joins page-by-query rows to page totals using normalized URLs. For positions 4–20, it estimates CTR at a position three places better and counts only positive click difference. It flags CTR gaps when a query has at least 50 impressions and less than 70% of modeled CTR. With a prior period, it adds a decay reason when clicks fell and average position moved by less than one position.
Features
- Sorted page backlog with query-level evidence.
- Optional period-over-period decay signal.
- Transparent reasons and modeled upside kept separate.
- CSV/manual input by default, with optional separate GSC and GA4 browser-session connections when Google OAuth is configured.
Limitations
- The model does not know business priority, page quality, SERP features, or implementation effort. An optional GA4 overlay can add observed value context, but it does not predict future value.
- Average position and a generic CTR estimate can hide device, country, and query-mix differences.
- Moving three positions is a scenario, not a prediction.
- Exports must share filters and the comparison periods should be equivalent.
Frequently asked questions
Which GSC exports do I need to prioritize pages?
Paste a current Pages export first and a combined page-by-query export second. You can optionally add a prior-period Pages export third to detect click decline while average position stayed stable.
What is a striking-distance query?
In this model it is a supplied query with average position from 4 through 20. The tool estimates click upside for moving it three positions, using a modeled CTR curve.
How is a CTR gap detected?
A query with at least 50 impressions is flagged when its observed CTR is below 70 percent of the model estimate for its average position.
What does the opportunity score represent?
It combines modeled upside clicks, a page-level bonus for CTR-gap evidence, and current clicks when stable-ranking decline is present. It is a prioritization heuristic, not predicted traffic.
Can I compare two periods with different lengths?
You can, but the decline reason would be misleading. Use equal-length periods with comparable filters, seasonality, and reporting completeness.
Feature requests for Which Pages Should I Work On
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Sobre a ferramenta
Grátis, sem cadastro. Build um modelado to-do listar para páginas com high-impression consultas just fora o top resultados, CTR gaps, ou stable-ranking decay.
Classificação GSC páginas por striking-distance, CTR-gap, e stable-ranking decay oportunidades.
Recursos
- Paste o atual Páginas exportar. Adicione --- , então paste o atual combined página por consulta exportar para o mesmo escopo. Optionally adicione outro separator e um equal-length anterior Páginas exportar. Selecione Analisar . Revisão o highest pontuações, então usar cada row's motivos e consulta evidência para escolha o real work.
- Um consulta com em least 50 impressions é flagged quando seu observado CTR é below 70 percent de o model estimate para seu average position.
- O engine joins página por consulta linhas para página totals using normalized URLs. Para positions 4–20, isso estimates CTR em um position three places better e counts somente positive click difference. Isso flags CTR gaps quando um consulta tem em least 50 impressions e menos than 70% de modelado CTR. Com um anterior período, isso adds um decay motivo quando clicks fell e average position moved por menos than um position.
- Sorted página backlog com query-level evidência. Optional period-over-period decay signal. Transparent motivos e modelado potencial kept separate. CSV/manual entrada por default, com optional separate GSC e GA4 browser-session connections quando Google OAuth é configured.
Como funciona
Isso combines modelado potencial clicks, um page-level bonus para CTR-gap evidência, e atual clicks quando stable-ranking queda é present. Isso é um priorização heuristic, não predicted tráfego.
Limitações
- O model faz não know business prioridade, página quality, SERP features, ou implementation esforço. Um optional GA4 overlay pode adicione observado value contexto, but isso faz não predict future value. Average position e um generic CTR estimate pode hide device, country, e query-mix differences. Moving three positions é um scenario, não um prediction. Exports deve participação filters e o comparação periods deve ser equivalente.
- Site propriedades somente: faça não paste um Instagram, TikTok, X, ou YouTube platform-property exportar. O priorização model é calibrated para páginas em um site, não social posts.
Perguntas frequentes
Quais GSC exportações do I precisa para prioritize páginas?
colar a atual páginas exportação primeiro e a combinado page-by-query exportação second. você pode optionalmente add a prior-period páginas exportação terceiro para detectar clique queda while média posição staydo estável.
O que é uma consulta em distância de alcance?
em esta modelo ele é a fornecido consulta com média posição de 4 por meio de 20. o ferramenta estimativas clique potencial para movndo ele three positions, usndo a modelada CTR curve.
Como é a CTR gap detectado?
A consulta com em pelo menos 50 impressões é flaggdo quando seu observdo CTR é abaixo de 70 por cento de o modelo estimar para seu média posição.
What faz o oportunidade pontuação represent?
ele combines modelada potencial cliques, a page-level bonus para CTR-gap evidência, e atual cliques quando stable-rankndo queda é presente. ele é a prioritização heuristic, não predictdo tráfego.
Posso comparar dois poríodos com durações diferentes?
você pode, but o queda motivo would be misleadndo. usar equal-length periods com comparable filters, seasonalidade, e reportndo completeness.