Idiomas

Content Gap Analyzer

Free, no signup. Identify topics a competitor wins, then optionally compare the ranking pages’ internal support to see whether inlinks, anchors, crawl depth, or stronger linking pages may help explain the gap.

Built by Patrick Stox

Paste your Ahrefs/Semrush keyword export first, then a competitor export. Optional paired crawl and internal-link exports add structural evidence. Separate data sets with a line containing ---. Files never leave your browser.

Optional structural comparison: add your crawl page export third and the competitor crawl page export fourth. To compare anchors and linking-source support too, add your internal-link export fifth and the competitor export sixth. Select uploaded files in that order.

Sample report

Illustrative example — based only on the supplied rows

Your export
Keyword,URL,Position,Volume
seo audit checklist,https://example.com/seo-audit/,18,1000
---
Competitor export
Keyword,URL,Position,Volume
seo audit checklist,https://competitor.com/guides/seo-audit/,3,1000
technical seo template,https://competitor.com/guides/seo-audit/,5,500
---
Your crawl pages
URL,Inlinks,Crawl Depth,Link Score
https://example.com/,120,0,100
https://example.com/seo-audit/,2,4,8
---
Competitor crawl pages
URL,Inlinks,Crawl Depth,Link Score
https://competitor.com/,160,0,100
https://competitor.com/guides/seo-audit/,24,2,62
  • seo audit checklist — they rank better; the supplied crawl also shows their page is shallower and sits higher in its own site’s inlink and Link Score distributions.
  • technical seo template — they rank, you do not; no matching URL is inferred from your ranking export.
  • Structural observations — diagnostic associations only. They do not change the directional-upside calculation or prove why Google ranks either page.

How to use it

  1. Export organic keywords for your site and one competitor with keyword, ranking URL, position, and volume columns.
  2. Paste your CSV first, add a line containing ---, then paste the competitor CSV.
  3. For structural comparison, add your crawl-page export third and the competitor crawl-page export fourth. Use URL plus any of Inlinks, Crawl Depth, Internal PageRank, or Link Score.
  4. Optionally add your internal-link export fifth and the competitor export sixth. Each needs Source, Destination or Target, and Anchor or Anchor Text.
  5. Choose Analyze. Check intent first, directional upside second, and structural observations third before deciding between a new page, an on-page improvement, or stronger internal support.
Local data

Saved targets, named lists, and recent check summaries remain only in this browser.

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.

Feedback
Report a bug

Found something broken in Content Gap Analyzer? Let us know what happened — this goes straight to a private triage queue, not a public list.

What will be sent 
 No tool inputs, uploads, pasted source, complete results, query parameters, or URL fragments are attached automatically. You can edit or remove the selected passage above. Browser and anti-abuse metadata is processed for spam prevention. 
  
 
  
 
 
  
 
 
      
How to read the result
  • They rank, you do not means no keyword match exists in your uploaded rows.
  • They rank better means your best observed position trails the competitor by at least five positions.
  • You win means that five-position gap is absent; its modeled upside is zero.
  • Structural observations compare supplied crawl and link evidence but do not claim an internal-link difference caused the ranking gap.
  • Topic is a transparent stem-overlap cluster, not an embeddingEmbeddings are dense numerical vectors — lists of floating-point numbers — that represent the meaning of text in a high-dimensional space. Semantically similar content lands close together, so search and AI systems can match by meaning, not just keywords. or SERP-intent classification.
 
Data sources & freshness
The browser parses the two ranking tables, normalizes recognized export headers, and keeps the best competitor row per keyword. Keywords are grouped when their normalized word stems overlap. Optional crawl-page exports add page inlinks, within-site inlink percentiles, depth, and an optional internal-rank percentile. Optional internal-link exports add unique source pages, topic-aligned anchors, generic or empty anchors, reused anchor labels, shallow source pages, and source pages in the top quartile of the supplied inlink or internal-rank distribution.
 
Features
  • Ahrefs- and Semrush-style ranking header recognition.
  • Screaming Frog-, Sitebulb-, and generic crawl/link column aliases.
  • Browser-only analysis with no account connection.
  • Three explicit competitive verdicts and observed URL mapping.
  • Separate structural evidence that never changes the directional-upside model.
  • CSV export with both raw structural metrics and transparent observations.
 
Limitations
Results are only as complete and current as the supplied exports. Crawl scope and site size affect raw inlink totals, so the report also compares each target’s percentile within its own supplied site. Anchor overlap is lexical and does not establish relevance, PageRank flow, or causation. Exact keyword matching can miss synonyms, while stem overlap can group queries with different intent. Search volume and positions are third-party estimates, the CTR curve is generic, and upside ignores conversion rate, backlinks, authority, SERP featuresSERP features are any element on a search results page beyond the classic ten blue links — featured snippets, People Also Ask, knowledge panels, sitelinks, image and video packs, AI Overviews, and structured-data-driven rich results. Google documents that losing rich-result eligibility doesn't affect ranking; their SEO relevance is CTR (they redistribute clicks). Some are unlocked by markup; most are purely algorithmic., content cost, and ranking probability.
 
Frequently asked questions
What data does the Content Gap Analyzer need?
The base analysis needs two Ahrefs- or Semrush-style keyword CSV tables: yours first and a competitor export second. For structural comparison, optionally add paired crawl-page exports with URL plus Inlinks, Crawl Depth, Internal PageRank, or Link Score. Paired internal-link exports with Source, Destination, and Anchor Text add anchor and linking-source evidence.
What does “they rank, you do not” mean?
The competitor export contains the keyword cluster but your export has no matching keyword row. It does not prove your site has no relevant page; it means no match was present in the supplied export.
Can internal links explain why a competitor ranks better?
They can reveal a plausible structural advantage, not prove causation. The report compares supplied inlinks, within-site percentiles, crawl depth, topic-aligned anchors, and linking-source support separately from the ranking and traffic-upside model.
Is estimated upside a traffic forecast?
No. Upside is a directional prioritization value: the best competitor position in the topic multiplied by its supplied search volume and a conservative default click-through-rate curve.
Does the tool call Ahrefs or Semrush?
No. You supply exports you are authorized to use, and analysis stays in your browser. The tool does not fetch rankings or enrich the files with live data.
 
 
Next stepHeading Structure Checker — verify it with a direct check.

People also explore
ToolAI Content Brief GeneratorToolLink AnalyzerToolImage SEO CheckerArticleHTTPS for SEOArticleIndexingArticleTechnical SEO
 
 
 
Feature requests for Content Gap Analyzer
 

Upvote what you want most. New ideas can be submitted from the floating Feedback menu;
      requests appear here once approved, and the most-wanted rise to the top.

   
Loading…
  
  ➕ Request a feature   
New requests are reviewed before they appear here.
 
     
  
  
 
 
 
 
     
   
Sobre a ferramenta
Grátis, sem cadastro. Identifique tópicos em que um concorrente vence e, opcionalmente, compare o suporte interno das páginas ranqueadas para ver se links internos, âncoras, profundidade de rastreamento ou páginas com links mais fortes ajudam a explicar a lacuna.
Compare keyword exports e optional rastreamento/link exports para encontrar topic gaps, mapa classificação URLs, e inspecionar internal-link, anchor, depth, e page-support differences.
Recursos
  • O base analysis precisa dois Ahrefs- ou Semrush-style keyword CSV tables: yours primeiro e um competitor exportar second. Para structural comparação, optionally adicione paired crawl-page exports com URL plus Inlinks, Rastreamento Depth, Internal PageRank, ou Link Pontuação. Paired internal-link exports com Origem, Destino, e Anchor Texto adicione anchor e linking-source evidência.
  • Dados origens & freshness O navegador parses o dois classificação tables, normalizes recognized exportar cabeçalhos, e keeps o best competitor linha por keyword. Keywords são grouped quando seus normalized word stems overlap. Optional crawl-page exports adicione página inlinks, within-site inlink percentiles, depth, e um optional internal-rank percentile. Optional internal-link exports adicione unique origem páginas, topic-aligned anchors, generic ou empty anchors, reused anchor labels, shallow origem páginas, e origem páginas em o top quartile de o fornecido inlink ou internal-rank distribution.
  • Como ler o resultado: Eles ranqueiam, você não significa que não existe correspondência de palavra-chave nas linhas enviadas. Eles ranqueiam melhor significa que sua melhor posição observada fica pelo menos cinco posições atrás da do concorrente. Você vence significa que essa lacuna de cinco posições não existe; o potencial modelado é zero. Observações estruturais comparam evidências de rastreamento e links fornecidas, mas não afirmam que uma diferença de links internos causou a lacuna de ranking. Tópico é um agrupamento transparente por sobreposição de radicais, não uma classificação de intenção de SERP.
  • Como usar Exportar organic keywords para seu site e um competitor com keyword, classificação URL, position, e volume columns. Paste seu CSV primeiro, adicione um line containing --- , então paste o competitor CSV. Para structural comparação, adicione seu crawl-page exportar third e o competitor crawl-page exportar fourth. Usar URL plus qualquer de Inlinks, Rastreamento Depth, Internal PageRank, ou Link Pontuação. Optionally adicione seu internal-link exportar fifth e o competitor exportar sixth. Cada precisa Origem, Destino ou Alvo, e Anchor ou Anchor Texto. Escolha Analisar . Verificação intenção primeiro, directional potencial second, e structural observações third antes deciding entre um novo página, um on-page improvement, ou mais forte internal sustentam.
Como funciona
Dados origens & freshness O navegador parses o dois classificação tables, normalizes recognized exportar cabeçalhos, e keeps o best competitor linha por keyword. Keywords são grouped quando seus normalized word stems overlap. Optional crawl-page exports adicione página inlinks, within-site inlink percentiles, depth, e um optional internal-rank percentile. Optional internal-link exports adicione unique origem páginas, topic-aligned anchors, generic ou empty anchors, reused anchor labels, shallow origem páginas, e origem páginas em o top quartile de o fornecido inlink ou internal-rank distribution.
Limitações
  • Limitations Resultados são somente como Concluído e atual como o fornecido exports. Rastreamento escopo e site size affect raw inlink totals, so o relatório also compares cada target’s percentile within seu own fornecido site. Anchor overlap é lexical e faz não establish relevance, PageRank fluxo, ou causation. Exato keyword correspondente pode miss synonyms, enquanto stem overlap pode group consultas com different intenção. Pesquisa volume e positions são third-party estimates, o CTR curve é generic, e potencial ignores conversion taxa, backlinks, authority, , conteúdo cost, e classificação probability.
  • They pode reveal um plausível structural advantage, não prove causation. O relatório compares fornecido inlinks, within-site percentiles, rastreamento depth, topic-aligned anchors, e linking-source sustentam separately de o classificação e traffic-upside model.
Perguntas frequentes
De quais dados o conteúdo Gap Analyzer precisa?
o base analysis precisa two Ahrefs- ou Semrush-style palavra-chave CSV tabelas: yours primeiro e a concorrente exportação second. para estrutural comparação, optionalmente add pairdo crawl-page exportações com URL plus Inlinks, rastrear Depth, Internal PageRank, ou link pontuação. Pairdo internal-link exportações com fonte, Destinação, e Anchor texto add anchor e linking-source evidência.
What A “eles ranquear, você do não” significar?
o concorrente exportação contém o palavra-chave cluster but seu exportação tem não correspondência palavra-chave linha. ele faz não provar seu site tem não relevant página; ele significa não corresponder was presente em o fornecido exportação.
links internos podem explicar por que um concorrente ranqueia melhor?
eles pode reveal a plausível estrutural vantagem, não provar causação. o relatório compara fornecido inlinks, within-site percentiles, rastrear depth, topic-aligndo âncoras, e linking-source suporte separatemente de o ranqueamento e traffic-upside modelo.
é estimado potencial a tráfego previsão?
não. potencial é a direcional prioritização valor: o best concorrente posição em o tópico multiplido por seu fornecido pesquisa volume e a conservadora padrão click-through-rate curve.
faz o ferramenta chamar Ahrefs ou Semrush?
não. você fornecer exportações você are autorizado para usar, e analysis stays em seu navegador. o ferramenta faz não buscar classificações ou enrich o arquivos com ao vivo dados.