How to Do Competitor Keyword Analysis: Step-by-Step Guide

Competitor keyword analysis shows which queries drive rivals' organic traffic and where your site can win. This guide on how to do competitor keyword analysis walks through the practical steps: what data to pull, which competitors to include, bulk extraction methods, prioritization frameworks, and how to turn findings into content clusters that move the needle. Read on to learn specific exports, scoring formulas, and a repeatable workflow you can run monthly.

TL;DR:

• Focus on the top 3–5 SERP competitors with the highest overlap; expect to find 500–5,000 unique overlapping keywords per competitor.

• Prioritize keywords with commercial intent and low difficulty using a scoring matrix and the keyword golden ratio (KGR) for long-tail quick wins.

• Turn top-priority keywords into 1–3 pillar pages plus 8–20 cluster posts and use internal links from clusters back to pillar pages for rank consolidation.

Step 1: Prepare — Tools, Access, and Prerequisites

What You Need (accounts, Data, and Permissions)

Start with three core data sources: Google Search Console (GSC) for your site, a keyword/SEO tool that can export competitor data (examples: Ahrefs, Semrush, Moz, or similar), and Google Ads Keyword Planner for volume and CPC ranges. For quick DIY exports use GSC’s CSV export of queries and pages. For scale, use a tool API or the export features that Ahrefs/Semrush provide.

Grant read-only GSC access to anyone running analysis. That prevents accidental changes while letting analysts pull query-level data, impressions, clicks, and average position. If you use Google Analytics, connect it to compare landing-page behavior after you identify opportunities.

For authoritative reading on setting up competitor analysis and data requirements see this guide on how to perform competitor analysis from Coursera. For Search Console specifics, consult Google’s Search Console help pages.

Key Metrics to Track From Day One

Track these fields in every export:

• Search volume (monthly)

• CPC (as an intent signal)

• Keyword difficulty or a KD proxy

• Current rank and historical rank (if available)

• Estimated organic traffic per keyword (tool-provided)

• SERP features present (local pack, featured snippet, shopping) These let you calculate potential traffic gain and short-term wins.

Set Up a Shared Workspace for Keyword Lists

Use a centralized spreadsheet or an SEO content platform. For small teams, a shared Google Sheet with these columns works: Keyword, Volume, CPC, KD, Intent, Competitor source, Our rank, Notes. For scaling, use an automated platform to store exports and run clustering. SEOTakeoff replaces manual clustering and internal-link planning by automating topic clustering and direct CMS publishing, which reduces copy/paste work for teams that want to generate 30+ SEO articles per month.

If your team needs a primer before large exports, see this SEO basics for non-technical teams.

Step 2: Identify Which Competitors to Analyze

Different Competitor Types: Direct Vs. SERP Competitors

Distinguish two categories:

• Business competitors: companies selling the same product or service in your market.

• SERP competitors: sites that rank for the same queries even if they sell something different (blogs, affiliates, directories).

For keyword analysis, SERP competitors often matter more than business rivals because they control the SERP positions you want. Track both types but prioritize the sites that consistently appear in the top 10 for your target queries.

How to Find SERP Competitors Manually

Run 10–20 seed queries you already rank for or want to target. Use an incognito browser and note repeat domains in the top 10. Record their share of appearances — a site appearing in 40% of your seed queries is worth a deep export. Tools can automate this discovery, but manual checks reveal local packs, featured snippets, and knowledge panels you may need to plan for.

When to Include PPC and Affiliate Sites

Include PPC/affiliate sites if they occupy valuable SERP real estate for commercial queries. High CPC on a keyword suggests commercial intent, and seeing the same domains in both organic and paid results signals heavy investment and a priority to target. For local businesses, include directories and local pack winners as part of the competitor set; see local examples in our local competitor examples.

For a repeatable SERP-competitor list, pick the top 5 domains with the highest overlap and the next 10 with occasional top-10 appearances. That sample gives both high-volume targets and niche long-tail opportunities.

Step 3: Extract Competitor Keywords (bulk Methods)

Use Tool Exports and Keyword Gap Reports

Export domain-level keyword reports from Ahrefs, Semrush, or Moz for each competitor. domain-level exports show all keywords a competitor ranks for plus estimated traffic per keyword. Run a keyword gap (or "content gap") report to find keywords they rank for that you don’t. For a visual walkthrough of exporting competitor keyword lists and running a gap report, watch this short demo — it shows the exact UI steps and CSV handling viewers will need:

Watch this step-by-step guide on doing competitor gap analysis using ubersuggest:

Scrape SERP Features and Organic Snippets

Capture the titles, meta descriptions, H1s, and page headings of competitor top pages. These reveal the target phrases and variants they optimize. Also note SERP features (featured snippet, People Also Ask) because matching a different content format can be the difference between ranking and not ranking. Use the exported snippets to build long-tail question lists.

For automated grouping of large lists, run your exports through an automated clustering tool. That groups thousands of keywords into actionable topics quickly.

Capture Question and Long-tail Keywords

Pull question-format queries from competitor FAQs and People Also Ask. Use a tool like our find question keywords to extract who/what/why/how questions at scale. For local queries, add modifiers like city or service area using a local keyword ideas generator.

When deciding between single-URL exports and domain-level exports, use domain-level for broad discovery and single-URL when you want to replicate a top-performing page. For scale, prefer API exports to avoid UI limits.

Step 4: Analyze and Prioritize Competitor Keywords (how to Do Competitor Keyword Analysis)

Define Scoring Criteria (intent, Difficulty, Value)

Create a scoring model. Columns to include:

• Intent score: 1 (informational), 2 (research), 3 (commercial/transactional)

• Value score: combine monthly volume and CPC to approximate revenue opportunity

• Difficulty score: tool KD or a proxy based on domain authority of current top-ranking pages A simple formula: Priority = (Intent × Value) / (Difficulty + 1). Normalize scores to 0–100 and sort.

Use keyword intent tagging to separate educational content from buyer-intent pages. Tag intent manually for top 1,000 keywords; automate tagging for larger sets using pattern matching on terms like "best", "buy", "compare", "how", "tutorial".

Apply a Prioritization Framework (low-hanging Fruit to Strategic Targets)

Segment keywords into three tiers:

• Quick wins: Low difficulty, some volume, clear intent. These are candidate cluster posts or KGR targets.

• Medium effort: Moderate difficulty or volume; may need quality content + links.

• Strategic targets: High volume/intent but high difficulty; require pillar content, link-building, and time.

Estimate traffic share using rank-position CTR models. For example, if a keyword has 1,000 monthly searches and the top result typically gets 25% of clicks, a #1 rank could deliver ~250 clicks monthly. If your site can realistically reach top-3 for a subset, calculate expected incremental traffic by multiplying clicks by expected conversion rates.

Use KGR and Traffic-share Estimates to Find Quick Wins

For long-tail low-volume keywords, apply the keyword golden ratio (KGR): number of Google results with the exact phrase in title divided by monthly search volume. KGR < 0.25 suggests an attainable target for new sites. Try our KGR calculator to score candidates.

Automate scoring when possible. Tools can tag intent, compute KGR, and suggest cluster assignment. For a template to turn prioritized keywords into briefs, use the how-to guide template. For automation options and tool comparisons, see our AI SEO tools list.

Step 5: Turn Competitor Keywords Into Content Clusters and Internal Links

Map Prioritized Keywords to Pillar and Cluster Pages

Assign high-intent, high-volume keywords to pillar pages (one per major topic) and map supporting long-tail keywords to cluster articles. Recommended cluster sizes:

• Small site: 5–8 cluster posts per pillar

• Growing site: 8–15 cluster posts per pillar

• Aggressive campaign: 15–30 cluster posts per pillar

Each cluster post should internally link to the pillar page with a contextual anchor and include a canonical tag where necessary. Use the pattern: cluster post → pillar page (primary link) and supplemental cross-links between related clusters.

Create Briefs and Assign Intent-driven Formats

Write briefs that specify:

• Primary keyword and 3–5 semantic variants

• Target intent (informational, commercial, transactional)

• Suggested headings and required schema (FAQ schema for question pages)

• Internal link instructions (e.g., anchor text pointing to pillar)

If you want to speed production, an automated pipeline can create briefs and full drafts. SEOTakeoff supports automated topic clustering, internal link building, brand voice customization, and direct WordPress/CMS publishing to reduce editorial bottlenecks. Small teams can produce 30+ SEO-optimized articles per month with an automated pipeline instead of hiring multiple writers.

For publishing workflows and CMS connections see CMS integration tips. If you prefer to move data automatically into editorial tools, consider Zapier-focused automations; our guide to Zapier automations has examples.

Automate Internal Linking and Publish to CMS

Set rules: every cluster post links to the pillar using a primary anchor plus 1–2 secondary anchors. Use your CMS or platform to enforce link counts (e.g., at least three internal links to the pillar from the cluster set). If your team prefers external help, check our outsourced SEO option for full cluster production.

Balance speed and quality: automated generation handles volume, but editorial review keeps relevance and accuracy high.

Step 6: Monitor Performance, Run Audits, and Troubleshoot Common Mistakes

Set Up Regular Monitoring and Site Audits

Establish a cadence:

• Weekly: rank checks for priority keywords and CTR changes in GSC

• Monthly: traffic and conversion review by landing page

• Quarterly: full content audit and gap analysis refresh

Track KPIs: organic sessions, clicks from target keywords, ranking positions for priority terms, and number of internal links pointing to each pillar. Use site audits to flag technical issues that block rankings; SEOTakeoff has a site audit capability to find structural problems quickly. For deeper technical checks, use this technical SEO checklist.

When to Re-optimize vs When to Build New Content

Re-optimize when:

• A page ranks on page 2 with decent impressions but low clicks.

• CTR falls after SERP feature changes.

• The content is thin against competitors' comprehensive coverage.

Build new content when:

• The keyword has distinct intent that warrants a separate page.

• There's a topical cluster gap around a pillar.

A practical rule: try three rounds of on-page optimization (content refresh, new headings, schema, internal links) over 6–12 weeks before deciding a keyword needs a new dedicated page.

Common Mistakes and Troubleshooting (rank Drops, Cannibalization, Wrong Intent)

Common issues and quick checks:

• Keyword cannibalization: find multiple pages ranking for the same intent. Fix by consolidating content, canonicalizing, or changing one page’s target intent.

• Rank drops after updates: inspect SERP feature changes and competitor content updates. Use the technical checklist and monitor for new competing pages or algorithm announcements.

• Chasing low-value keywords: high volume doesn’t equal value; ignore low-conversion informational queries unless they feed an acquisition funnel.

See vertical examples for monitoring frequency and iteration in our property manager SEO example and photographer SEO tips.

The Bottom Line

How to do competitor keyword analysis: gather exports from GSC and a keyword tool, pick SERP competitors, extract keyword lists in bulk, score by intent/difficulty/value (use KGR for long-tail wins), and map top terms into pillar-cluster pages with deliberate internal links. Automate clustering and CMS publishing where possible; teams can scale to 30+ high-quality articles per month starting at $69/mo.

Frequently Asked Questions