M.

MKTG.Directory

Core service

Rank = Relevance × Quality. Measure the half everyone ignores.

Most SEO tools measure quality — backlinks, domain authority, page speed. This service scores the other half of the ranking formula: how well does each SERP result actually match the query?

Keyword Intelligence

marketing intelligence

12 keywords
KeywordVolumeDifficultyTrend
marketing intelligence8,100
42
+24%
market research tools12,400
67
+3%
competitor analysis6,200
38
+18%
growth strategy4,800
51
+12%
brand tracking software3,600
29
+31%

Clusters identified

Intelligence toolsResearch & analysisBrand monitoring
Primary job
Relevance scoring

Score query-to-document fit for each SERP result

Scoring inputs
4 dimensions

Title, snippet, intent, and format alignment

Key insight
Relevance gaps

Where the SERP is weakest — your entry point

Deliverable
Content blueprint

Optimized for maximum relevance

What gets scored

Four dimensions of relevance, weighted by impact.

Relevance is not one number. We break it into the four factors that search engines actually evaluate when matching a document to a query.

Title keyword match

25% weight

Checks whether SERP results contain the exact query or key terms in their title tags — the strongest on-page relevance signal.

Snippet content alignment

30% weight

Measures how well each result's description covers the query terms and core entities the searcher expects to see.

Intent alignment

25% weight

Scores whether each result matches the primary search intent — informational, commercial, transactional, or strategic.

Format fit

20% weight

Evaluates whether the content format matches what the query type demands — how-to, listicle, comparison, definition, etc.

Competitive Landscape

marketing intelligence

4 competitors
CompetitorDATrafficYour gap
semrush.com912.1MContent depth
similarweb.com891.8MSEO focus
crayon.co62180KPricing
klue.com58120KAudience intel

Your advantage

Unified intelligence — competitors are siloed by channel
Action-first output — they show dashboards, you show decisions
Mid-market gap is wide open — no clear winner under $200/mo

Workflow

From query to exploitable relevance gaps in one run.

1. Enter a target query

Type the keyword or question you want to rank for. The service pulls the live SERP and your keyword data.

2. Score each SERP result

Every result gets a relevance score (0–100) broken down by title match, snippet alignment, intent fit, and format fit.

3. Find the relevance gaps

The service identifies where the current SERP is weakest — title mismatch, mixed intent, wrong format, or thin content — and ranks them by impact.

4. Get a content blueprint

Receive a blueprint optimized for relevance: recommended title, format, must-cover topics, semantic terms, word count, and differentiator strategy.

Outputs

The other half of the ranking formula, made visible.

Quality metrics tell you how strong a page is. Relevance scores tell you how well it actually answers the query. Now you can see both.

What you get

Per-result relevance scores, exploitable gaps in title/intent/format/depth, a content blueprint, and ranking formula insights showing whether relevance or quality is the bottleneck.

What this replaces

Manual SERP analysis where you open each result, read the content, and try to guess why it ranks. This makes the relevance axis visible and measurable.

Who this is for

SEO practitioners who want to compete on relevance rather than authority. Especially valuable for newer sites, niche publishers, and anyone targeting queries where the SERP is poorly aligned.

Sample output

Relevance Analysis — "b2b content marketing strategy"

SERP avg relevance58 / 100Opportunity score: 42
Top gapTitle keyword match — avg 45%Impact: high · Most titles miss exact query
Intent alignmentMixed — informational + commercial signalsGoogle still testing intent → exploit with clear single intent
Format gapExpected: long-form guide · Actual: mixedOpportunity in definitive guide format
Blueprint titleB2B Content Marketing Strategy: Complete GuideExact query + format signal
Formula insightTop result only 67% relevant — relevance alone can winQuality floor: low

How it works

Five data sources, one relevance score.

The scoring engine combines live SERP data, keyword metrics, trend signals, and audience intent to evaluate how each result performs on the relevance axis.

Serper

SERP data

Live SERP snapshots with title, snippet, position, and URL for each organic result — the raw material for relevance scoring.

DataForSEO

Keyword signals

Keyword volume, difficulty, and SERP features that inform intent classification and expected content depth.

Google Trends

Trend signal

Demand trajectory and seasonal patterns that refine whether the query is gaining or losing relevance over time.

Reddit

Audience intent

Audience discussions surface the implied needs and pain points behind the query — used to score content depth alignment.

Scoring engine

Synthesis

Weighted multi-factor scoring across title match (25%), snippet alignment (30%), intent fit (25%), and format fit (20%).

Why this matters

The ranking formula has two sides. Most SEOs only see one.

PageRank, Navboost, and backlink profiles are all part of “quality.” But search engines also evaluate how well a document actually matches the query. That relevance axis is where newer sites can compete.

Based on the ranking formula

Every search engine uses Rank = Relevance × Quality. This service measures the relevance half that most SEO tools ignore.

Multi-dimensional scoring

Relevance is not one number. The service breaks it into title match, content alignment, intent fit, and format — each with independent weights.

Actionable gaps, not just scores

The service doesn't just score — it identifies which relevance dimension is weakest and tells you exactly how to exploit it.

Find the relevance gaps. Exploit them before competitors do.

Run a relevance check on any keyword to see how well the current SERP matches the query — and get a blueprint for the most relevant page possible.