Keyword Research
Find Rankings You Can Win
Advanced keyword analytics tool with Ahrefs, SEMrush, and Moz integration. Automated competitor analysis, website crawler for content gaps, and AI-generated content briefs. Discover high-opportunity keywords with low competition and high traffic potential.
Enterprise Keyword Analytics Integration
Connect your existing SEO tools or use our built-in research engine with 8 billion+ keywords from Google, Bing, Amazon, and YouTube.
Ahrefs API Integration
Enterprise-grade SEO data
Connect your Ahrefs account to access their industry-leading keyword database with 19.2 billion keywords, backlink analysis from 35 trillion links, and SERP data updated every 15 minutes. Perfect for agencies and SEO professionals who need the most accurate keyword difficulty scores.
Data Available:
- ✓Keyword difficulty (0-100 scale based on backlinks)
- ✓Global and country-specific search volumes
- ✓Click-through rate estimates and traffic potential
- ✓SERP features (featured snippets, PAA, etc.)
- ✓Parent topic clustering and keyword grouping
Best For:
- →Competitive link analysis and gap research
- →Content marketing teams needing reliable data
- →Agencies managing multiple client campaigns
- →Advanced SERP analysis and ranking tracking
Automated Website Analysis
Our intelligent crawler scans your entire website to identify ranking opportunities, content gaps, and optimization issues—automatically analyzing thousands of pages to surface actionable keyword insights.
On-Page Keyword Extraction
The crawler analyzes every page element: title tags (60 character optimization), meta descriptions (155 characters), H1-H6 heading hierarchy, body content with TF-IDF analysis, image alt text, and internal anchor text. Natural language processing identifies primary and secondary keywords with density scoring.
- •Semantic HTML parsing extracts structured content
- •Schema.org markup detection for rich snippets
- •Keyword density calculation avoids over-optimization
- •LSI term identification for semantic relevance
Content Gap Analysis
Compares your site structure against top-ranking competitors to identify missing topics and keyword opportunities. The system crawls up to 10 competitor domains simultaneously, mapping their content architecture to reveal gaps where you're not competing for valuable search traffic.
- •Identifies keywords competitors rank for (you don't)
- •Thin content detection (pages under 300 words)
- •Orphan page discovery (no internal links)
- •Cannibalization warnings (multiple pages, same keyword)
Internal Linking Intelligence
Maps your site's internal link graph to identify authority distribution and anchor text optimization opportunities. The crawler follows every internal link, building a complete topology that reveals which pages have strong internal linking and which are isolated.
- •PageRank-style authority flow visualization
- •Anchor text analysis for keyword relevance
- •Broken internal link detection and fixing
- •Suggests contextual links between related content
Crawler Configuration
Customizable crawl settings respect your server resources while maximizing data collection. Set crawl depth limits, concurrent request thresholds, and scheduling preferences. The crawler identifies itself properly and respects robots.txt directives.
- •Automatic crawl scheduling (daily/weekly/monthly)
- •Rate limiting prevents server overload
- •JavaScript rendering for React/Vue/Angular apps
- •Incremental crawls detect only changed pages
How the Crawler Works
1. Discovery Phase
The crawler starts with your sitemap.xml and homepage, then follows every internal link to discover all accessible pages. It respects robots.txt disallow rules and nofollow directives. The system identifies the site architecture, detecting blog posts, category pages, product pages, and static content based on URL patterns and HTML structure.
2. Content Extraction
For each page, the crawler extracts: title tags, meta descriptions, all heading tags (H1-H6), body text content, image alt attributes, link anchor text, canonical URLs, and schema.org structured data. TF-IDF analysis identifies the most important keywords on each page based on term frequency and inverse document frequency across your entire site.
3. Keyword Mapping
The system maps discovered keywords to specific pages, creating a matrix of which pages target which terms. This reveals keyword cannibalization (multiple pages competing for the same keyword) and opportunities for consolidation. The crawler also identifies pages with no clear keyword focus that need optimization.
4. Competitive Comparison
After crawling your site, the system crawls competitor domains (up to 10) using the same methodology. It compares keyword coverage, content depth (word count), topical authority, and SERP feature optimization. The gap analysis highlights keywords where competitors have content but you don't, representing immediate opportunities for new content creation.
Outrank Your Competition
Deep competitor keyword analysis reveals exactly what's working for others in your niche. Track competitor rankings, discover their content strategies, and identify weaknesses you can exploit.
Keyword Gap Analysis
Compare up to 5 domains simultaneously to identify keyword gaps—terms your competitors rank for but you don't. The system prioritizes gaps based on search volume, difficulty, and relevance to your business. Export gap reports with recommended content priorities.
SERP Position Tracking
Monitor your rankings and competitor positions for target keywords daily. Track SERP features (featured snippets, People Also Ask, knowledge panels) and get alerts when competitors move. Historical data shows ranking volatility and identifies opportunities when competitors drop.
Backlink Keyword Analysis
Analyze the anchor text of competitor backlinks to discover keywords they're building authority around. Identify their link-building strategies and find sites that link to competitors but not you. Export target lists for outreach campaigns with prioritized opportunities.
- ✓Anchor text keyword extraction from backlinks
- ✓Identify sites linking to competitors (not you)
- ✓Domain Authority scoring for link prospects
- ✓Toxic link detection to avoid penalties
Content Strategy Insights
See which content types work best in your niche. The system analyzes top-ranking pages for word count, multimedia usage, heading structure, and readability. Discover whether listicles, guides, or comparison articles perform better for specific keyword types.
- ✓Average word count for top 10 results
- ✓Content format analysis (list, guide, comparison)
- ✓Multimedia usage (images, videos, infographics)
- ✓Readability scores and grade-level recommendations
Search Intent & Semantic Keywords
Modern SEO isn't just about exact-match keywords. Our NLP engine understands search intent and discovers LSI keywords that help you rank for topic clusters, not just isolated terms.
Search Intent Classification
Our AI analyzes keyword phrasing and SERP features to classify search intent into four categories. Understanding intent ensures your content matches what searchers actually want, improving rankings and engagement.
User wants to learn something. Keywords: "how to", "what is", "guide", "tutorial". Content type: blog posts, guides, explainers.
User seeks specific website/page. Keywords: brand names, login pages. Content type: homepage, product pages, brand pages.
User ready to buy/convert. Keywords: "buy", "discount", "deal", "coupon". Content type: product pages, checkout, pricing.
User researching before purchase. Keywords: "best", "vs", "review", "comparison". Content type: reviews, comparisons, roundups.
LSI Keyword Discovery
Latent Semantic Indexing (LSI) keywords are terms semantically related to your target keyword. Google uses LSI to understand content context and topic comprehensiveness. Including LSI terms improves topical authority and rankings.
These semantically related terms should appear naturally throughout your content to signal topical comprehensiveness to search engines.
AI-Generated Content Briefs
Stop starting from blank pages. Every keyword research session generates detailed content briefs with everything writers need to create comprehensive, SEO-optimized articles that rank.
What's in a Content Brief
Target Keyword & Intent
Primary keyword with search volume, difficulty score, and classified intent (informational, transactional, etc.)
Recommended Word Count
Target length based on average word count of top 10 ranking articles (typically 1,800-3,500 words)
Heading Structure
Suggested H2 and H3 headings based on topics covered in top-ranking competitor content
LSI & Secondary Keywords
15-25 semantically related terms to include naturally throughout the content for topical depth
Questions to Answer
People Also Ask questions from Google SERP plus related questions from Reddit, Quora, forums
Competitor Analysis
Breakdown of top 3-5 ranking articles: their structure, word count, topics covered, strengths/weaknesses
✓Export briefs as PDF, Notion, Google Docs, or Markdown
✓Share with writers via link (no account needed)
✓Track brief completion status in dashboard