--- title: "#competitor-analysis — seo-mcp" description: "SEO tips tagged Competitor Analysis." url: "https://seo-mcp.io/tag/competitor-analysis" --- # #competitor-analysis 15 published tips tagged “Competitor Analysis”. - [Find keyword families competitors rank for but you don't](https://seo-mcp.io/t/find-keyword-families-competitors-rank-for-but-you-dont) — Compare your site with three main competitors in Search Console to list the keyword families they rank top 10 for and you do not. Record volume, the page type Google ranks and the winning competitor page, sort by commercial intent, then decide which families an existing page can cover and which need a new collection. - [Filter keywords for AI Overviews before you target them](https://seo-mcp.io/t/filter-keywords-for-ai-overviews-before-you-target-them) — Before committing content to a keyword, Google it and read the AI answer as a searcher would. If the answer fully resolves the query, target being named in the cited pages instead of the click; if it does not, rank normally. Record which pages the answer cites, which brands they name, and turn the gaps into an outreach list. - [Map which source types each AI engine cites for buyers](https://seo-mcp.io/t/map-which-source-types-each-ai-engine-cites-for-buyers) — Write ten buyer-intent questions, run each through ChatGPT, Claude, Perplexity and Gemini with web search on, and record the URLs each engine cites. Then group those URLs by source type to see which engines favour Reddit, review sites, listicles or your own pages, so content effort goes where citations already come from. - [Find information gain gaps in the top 10 search results](https://seo-mcp.io/t/find-information-gain-gaps-in-the-top-10-search-results) — Audit what the top 10 Google results, relevant YouTube videos and user forums already say about your target keyword, then find the questions none of them answer. Quantify the pattern from a real sample and open the article with that original finding so the page offers something the existing results do not. - [Audit SERPs for parasite platforms outranking your own pages](https://seo-mcp.io/t/audit-serps-for-parasite-platforms-outranking-your-own-pages) — Third-party hosted pages such as Spotify episodes, Jimdo and Site123 sites can outrank a brand's own pages on its target keywords. Export your keyword set with top rankings, match result domains against a maintained list of strong parasite platforms, then decide per keyword whether to publish on that platform or strengthen your own URL. - [Find sites using Stripe Checkout via Similarweb referrals](https://seo-mcp.io/t/find-sites-using-stripe-checkout-via-similarweb-referrals) — Open Similarweb, search checkout.stripe.com and open Referral -> Incoming Traffic. The referring websites are products that sell through Stripe Checkout. Take the interesting domains into Semrush -> Organic Rankings -> Positions to see which non-brand keywords bring them search traffic, then study what they sell, how they price and how they acquire demand. - [Publish competitor comparison pages as direct answers](https://seo-mcp.io/t/publish-competitor-comparison-pages-as-direct-answers) — Create a dedicated page for every head-to-head comparison buyers search (your tool vs each alternative) and open each page with a short, direct answer before any tables or feature lists. This makes the page easy for both searchers and AI assistants to extract and quote when someone asks which tool to pick. - [Mine Similarweb subdomain reports for new keyword ideas](https://seo-mcp.io/t/mine-similarweb-subdomain-reports-for-new-keyword-ideas) — Open Similarweb, search vercel.app, and open the Organic landing pages report. Set the range to the last 1 to 12 months and tick "newly discovered" to list subdomains that recently started ranking; each one is a live niche test. Validate the queries it ranks for in Google Trends before building your own page. - [Find SEO Wins Where Google Ranks the Wrong Content Type](https://seo-mcp.io/t/find-seo-wins-where-google-ranks-the-wrong-content-type) — Find queries where Google's top results are the wrong content type, such as generic blog posts or forum threads for a commercial query. Classify the dominant format on each SERP, flag mismatches with the format you can realistically build, then publish the missing format and monitor rankings over the following weeks. - [Triage SEO wins by impact versus effort before shipping fixes](https://seo-mcp.io/t/triage-seo-wins-by-impact-versus-effort-before-shipping) — A link-only post pointing to a list of high-impact SEO wins without naming any. The transferable habit it points at is triage: collect candidate fixes from your audit and Search Console data, score each by expected impact and effort, and ship the highest-scoring items first instead of working through a checklist in arbitrary order. - [Audit Live Google SERPs Across Niches Before Planning Content](https://seo-mcp.io/t/audit-live-google-serps-across-niches-before-planning) — Instead of relying only on keyword-tool volume, sample live Google result pages for target queries spanning several niches and record who ranks and which SERP features appear. A published analysis covered 238 live US searches across twelve niches. Use the observed patterns to prioritise content formats, then verify impact against Search Console data. - [Track competitor content through their sitemap.xml](https://seo-mcp.io/t/track-competitor-content-through-their-sitemap-xml) — Open the competitor's sitemap.xml to list every page they have published. If the file does not load, read robots.txt for the Sitemap: line, then open each sitemap it lists. Copy the URLs into a sheet and use them to spot content they have launched that is not ranking yet. - [Connect Search Console data before AI keyword research](https://seo-mcp.io/t/connect-search-console-data-before-ai-keyword-research) — Before asking an AI model for keyword ideas, give it real data: install Claude Desktop, point it at one site folder, and connect Search Console plus a SERP and volume provider. A model with no data connection still answers, inventing volumes and difficulty scores, so the connection is what makes the research usable. - [Sort AI visibility gaps into six buckets before fixing them](https://seo-mcp.io/t/sort-ai-visibility-gaps-into-six-buckets-before-fixing-them) — Group each AI-visibility gap into one of six buckets: visibility, narrative, topic, format, web mentions or demand. Counting gaps per bucket shows which one or two cause most of the problem, so remediation effort goes there instead of being spread evenly across every prompt where the brand is absent. - [Rebuild store pages per country instead of translating](https://seo-mcp.io/t/rebuild-store-pages-per-country-instead-of-translating) — For each new country, collect the local-language terms buyers use for your top collections with volume data, flag where a literal translation is not the searched term, and rewrite those pages and collections around the local queries. The products stay the same; the wording matches local demand.