Competitor Research for
SERP Analysis

See Where Your Page Stands
vs Top 10 SERP Winners

Then know exactly what to fix, what to skip, and what's wasted effort
backed by mathematical analysis of your keyword's actual ranking factors.

Available through our Competitor Research tool
analyzing what's actually ranking for your keywords right now.

Your Page
- vs -
The Top 10

See where your page ranks against the top 10 winners. The chart shows each position, the trend line, and where your page falls on the range.

SERP analysis scatter plot showing First Contentful Paint ranking correlation for SEO Software keyword. Chart displays top 10 search results as blue data points with red trend line, plus optimal range indicator showing user's page performance at 2,737ms compared to top-ranking competitors.

Each blue dot is one of the top 10 ranking pages. The red line shows the correlation trend. The range bar shows where values cluster among winners - and where your page falls in that range.

SEO Resource Allocation

Every ranking factor sorts itself into four categories. This shows you what to prioritize, what to test, and what to skip.

SEO Priority Guide dashboard organizing ranking factors into four strategic categories: Critical table-stakes metrics, Opportunity factors for competitive advantage, Avoid low-impact elements, and Gamble optimizations. Shows metrics for multiple keywords including SEO Software, SEO Strategy, and SEO Report Builder.
CRITICAL - Table stakes. All top pages have these. You must match them or you won't rank.
OPPORTUNITY - Strong patterns, high confidence. Fixing these should help you rank better.
AVOID - Low correlation, low confidence. Don't waste hours here, these don't matter for your keyword. This knowledge alone is worth the cost.
GAMBLE - Might help, but we're not sure. Test these last if you have time.

What Makes This Different

You just saw how our analysis works. Other tools can't show you this because they're built on generic advice, not keyword-specific SERP analysis

Correlation Without Context

Tools show "longer content ranks better" but don't tell you if that's real or just random noise.

Guesswork Optimization

Without knowing the right range or if the data is good, you're just guessing - and hoping you're right.

"Trust Me Bro" Analysis

Most tools hide their data behind black boxes. You see their answers but never the real numbers.

Each metric pairs statistical rigor with plain-language breakdowns, so you understand both the data and what to do with it. No statistical expertise required to make confident decisions.

This tool provides the most statistically rigorous, transparent analysis of keyword-specific ranking patterns available.

It analyzes the complete top 10 population using multiple validation methods, combines data from comprehensive sources, and presents findings with full statistical context so you can make evidence-based optimization decisions instead of following generic advice.

The "correlation is not causation" objection is mathematically valid but operationally irrelevant.

Strategic resource allocation demands statistical confidence, not causal certainty.

When rigorous statistical analysis reveals solid relationships with 90%+ confidence across your keyword's SERP winners, that means actionable intelligence.

This is better than conventional SEO wisdom, regardless of whether we comprehend Google's causal architecture.

Keyword-Based Analysis That Reveals
What Actually Works

Choose your keywords, hit submit, and our Competitor Research tool analyzes the top-ranking pages to separate SEO myth from measurable reality

Algo-Change Proof Analysis

We check live search results for your keywords. We see what ranks right now, even after Google updates. No guessing, just real data.

Correlation Scoring (0-100)

Based on Pearson correlation coefficient (r), showing how strongly each factor relates to ranking position for your specific keywords.

Bottom Line: Is this factor actually a thing for your keyword?

Confidence Scoring (0-100)

Based on statistical p-value, indicating how certain we are that each relationship is real versus random chance.

Bottom Line: Can you trust that assessment?

Influence Scoring (0-100)

Based on linear regression analysis, measuring how much each factor actually impacts ranking changes.

Bottom Line: What do you have to gain?

Table Stakes Detection (CV < 15)

Exceptionally tight ranges across SERP winners indicate requirements rather than competitive advantages - know what's mandatory versus optional.

Bottom Line: When everyone gets it right, it's not optional.

Technical Factors We Analyze Statistically

Never assertions, always determinations.
We go beyond simple correlation to let the SERP winners tell us what actually matters for your keywords.

We track metrics that many seasoned SEO professionals wouldn't consider valid ranking factors. The difference? Real or rumored, our tool reveals when these factors are statistically irrelevant for your specific keywords - and when they're not. Every metric shows the observed range among SERP winners, the optimal target range, and exactly where your pages stand in comparison.

This approach lets newcomers see what actually works while giving experienced SEOs hard data to support or challenge their assumptions. No factor is dismissed without measurement, and no recommendation is made without statistical backing from current SERP winners.

From Statistics to Action

Mathematical analysis translates into clear, prioritized optimization recommendations

Strategic Decision Framework

Our 3 core metrics (Correlation, Confidence, Influence) automatically sort every factor into clear buckets: what works, what doesn't, what's critical, what's a good gamble, and what you can safely ignore.

Plain Language Verdicts

Complex statistics translated into clear optimization recommendations you can actually act on.

Confidence-Based Recommendations

Critical pieces get priority. Opportunities for competitive advantage are strong secondaries, and then good gambles - high reward potential, even if less certain.

Proximity Gap Analysis

See exactly how far your pages are from statistically optimal values with numerical gap scores.

Professional-Grade Analysis Pricing

Investment in statistical certainty vs. guesswork - because serious optimization deserves serious analysis

Standard Tier

$30 per keyword
Crawler-based SERP analysis
  • Live SERP data collection
  • 3 core metrics (Correlation, Confidence, Influence)
  • Statistical significance testing
  • Table stakes detection
  • Page matching analysis

Premium Tier

$50 per keyword
Standard + premium data sources
Minimum 6 keywords
  • Everything in Standard
  • Ahrefs backlink data integration
  • Keyword competition metrics
  • Enhanced competitor intelligence
  • Premium data source correlation

Note: Match up any page on your site to see exactly where it stands in relation to the leading SERP results. Stop guessing about optimization priorities - get mathematical proof of what moves rankings.

Real Analysis Example

See how keyword-specific analysis transforms vague correlations into actionable optimization insights

Traditional SEO Tool

"Content length shows positive correlation with rankings"

Correlation: 0.66

Problems:

  • Generic across all keywords
  • No confidence measurement
  • No influence quantification
  • No specific target guidance

Keyword-Specific SERP Analysis

Keyword: "SEO Report Builder"
Factor: LCP (Page Load Speed)
Correlation: r = 0.66 (Strong positive)
Confidence: p = 0.10 (90% confident)
Allocation: OPPORTUNITY
SERP Winner Range: 3,780-13,170ms
Your Page: 2,855ms (Below range)

SEOLinkMap does both:

The Code making decisions: Deterministic measurement and statistical analysis

The LLM translation: Faster page loading speed is the most important factor for ranking well with "SEO Report Builder." Pages that load content quickly (measured by LCP) rank significantly better for this keyword. Your page measures 2,855ms (2.9 seconds), placing you well below the observed winner range of 3,780-13,170ms. This factor is already optimized beyond typical SERP winner performance for this keyword - direct optimization resources to other ranking factors showing gaps.

Justify Every Recommendation

Show stakeholders the raw data behind each metric so you can prove why optimization priorities matter - or why they don't

Raw Data Access

See the actual measurements from each ranking page, not just summary statistics. Prove to clients exactly why recommendations are valid.

Score Breakdown

Every Correlation, Confidence, and Influence score shows the underlying data points that generated it. No black-box calculations.

Range Evidence

Show stakeholders the exact range of values among SERP winners. Prove why targets are realistic and necessary.

Non-Factor Identification

When factors don't matter for your keywords, the data proves it. Stop wasting time on irrelevant optimizations with evidence.

Competitive Intelligence

See exactly what your ranking competitors are doing differently. Back up strategy decisions with measurable competitor data.

Requirement Proof

When tight ranges indicate mandatory factors, show the data that proves it's table stakes, not competitive advantage.

Why Mathematical SERP Analysis Wins

While competitors guess, you'll have statistically-proven optimization strategies

Replace Guesswork with Mathematical Certainty

Know exactly which factors have statistically significant impacts on rankings and which are just noise. Stop wasting time on optimization tactics that don't move the needle.

Precision-Targeted Optimization

Maximum likelihood estimation calculates optimal target values with confidence intervals. You'll know exactly what to aim for, not just "more is better."

Strategic Decision Framework

Based on correlation strength, statistical confidence, and how tightly winners cluster, we sort factors into 4 strategic buckets. No more wondering if you should optimize something.

Bottom Line: Know exactly what to prioritize, what to test, and what to skip entirely.

Confidence-Weighted Decisions

Every recommendation comes with confidence levels. Critical insights get priority, competitive advantages get strong consideration, and good gambles are clearly identified.

Ready for Statistically-Proven SEO?

Stop guessing about ranking factors. Start with mathematical certainty.

The Mathematics Behind the Analysis

Understanding the statistical methods ensures you can trust the insights

Pearson Correlation Coefficients

We calculate correlation strength between ranking factors and SERP positions, providing both the coefficient value and its statistical significance.

Example: Content length correlation of 0.67 (p < 0.001, n=150)
Translation: Strong positive correlation, highly significant, large sample size
In Plain English: We measure how tightly a factor connects to rankings, then tell you if that connection is real or just coincidence.

Confidence Intervals

Every correlation comes with 95% confidence intervals showing the range of likely true values, not just a single point estimate.

Example: Correlation 0.67 [CI: 0.52, 0.78]
Translation: True correlation is between 0.52-0.78 with 95% confidence

Maximum Likelihood Estimation

Calculate the statistically optimal target value for each ranking factor based on top-performing pages in your keyword's SERP.

Example: Optimal content length: 2,847 words [MLE CI: 2,634-3,061]
Translation: Target 2,847 words with 95% confidence the optimal range is 2,634-3,061

Statistical Significance Testing

Clear p-value reporting tells you when correlations are real patterns versus random noise in the data.

Example: Page speed correlation (p = 0.003)
Translation: Only 0.3% chance this correlation is due to random chance