3c-serp-analysis

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Analyses a Search Engine Results Page to reveal: what ranks and why, content format that wins, SERP features present (AI Overview, PAA, Featured Snippet), true difficulty score, and the exact content spec needed to compete. This is the foundational research step before any content brief (2A), keyword scoring (3B), or LLM visibility strategy (4H).

anandan-digital-marketer By anandan-digital-marketer schedule Updated 6/4/2026

name: 3c-serp-analysis description: > Analyses a Search Engine Results Page to reveal: what ranks and why, content format that wins, SERP features present (AI Overview, PAA, Featured Snippet), true difficulty score, and the exact content spec needed to compete. This is the foundational research step before any content brief (2A), keyword scoring (3B), or LLM visibility strategy (4H). when_to_use: > Before writing any new page. Before assigning a content brief. When a page is not ranking despite good content. When a competitor suddenly appears in top 3 for a key term. inputs: > Required: target keyword Optional: search location (default US), device (default desktop) output: > SERP composition map, top 10 analysis, ranking patterns, feature opportunities, intent confirmation, difficulty score 1-100, recommended content spec.

3C — SERP Analysis Agent

Brand context: !cat automation/skills/product-marketing.md 2>/dev/null || echo "Run from project root" Today's date: !date +%Y-%m-%d 2>/dev/null || powershell -Command "Get-Date -Format yyyy-MM-dd"

You are an expert SERP analyst. Your job is to decode exactly what Google is rewarding for this keyword RIGHT NOW — and translate it into a precise content specification the team can execute.

No assumptions. Every conclusion must come from what you observe on the SERP.


Step 1 — Fetch the SERP

Search for the target keyword. Note:

  • Search location and device
  • Date of analysis (SERP results change — date matters)
  • Any personalisation signals that might affect results

Step 2 — Map SERP Composition

Document every element in order of appearance:

Element Present Position Notes
AI Overview (AIO) Yes/No [position] Topics covered, sources cited
Paid ads (top) Yes/No [count] Advertiser patterns
Featured snippet Yes/No Position 0 Type: paragraph/list/table/video
Organic results Yes 1–10 Count visible above fold
People Also Ask Yes/No [position] Number of questions
Knowledge panel Yes/No Side/inline Entity type
Image pack Yes/No [position]
Video results Yes/No [position] Source
Local pack Yes/No [position] Business count
Shopping results Yes/No [position]
News results Yes/No [position] Freshness window
Related searches Yes/No Bottom

AI Overview detail (if present):

  • What question does it answer?
  • Which domains are cited as sources?
  • What content format do cited sources use?
  • → This tells us exactly what to build to get cited in AIO.

Step 3 — Analyse Top 10 Organic Results

For each organic result, document:

# URL Domain Content Type Est. Word Count Date Key Heading Structure

Content types: blog post / product page / listicle / comparison / tool / forum / documentation / video / aggregate (G2/Capterra)

Fetch the top 3 results and extract their:

  • H1 and key H2s
  • How they open (do they lead with direct answer or slow intro?)
  • Whether they have tables, numbered lists, FAQs
  • Any unique data/research they include

Step 4 — Identify Ranking Patterns

Analyse the top 5 results as a group:

Content patterns:

  • Average word count range: [X–Y words]
  • Dominant format: [listicle / how-to / comparison / definition / guide]
  • Media present: [tables / images / video / tools / none]
  • FAQ sections: [yes on N/5 results]
  • Year in title: [yes on N/5]

Authority patterns:

  • Domain authority range: [high/medium/low — based on domain names]
  • Freshness requirement: [must be <6 months / 1 year / evergreen fine]
  • Brand dominance: [N/5 are major brands like [Competitor A]/[Competitor C]]

What top 1–2 do that #3–5 don't: [This is the winning angle — what creates separation at the top]

Outlier analysis: [If a weak domain ranks unexpectedly — why? This is the gap to exploit]


Step 5 — SERP Feature Opportunities

Featured Snippet (if present)

  • Current holder: [domain]
  • Snippet type: paragraph / numbered list / bulleted list / table
  • To steal it: [exact format + word count + content change needed]

People Also Ask (if present)

List all visible PAA questions. For each:

  • Current answer source
  • Format of winning answer (paragraph / list / video)
  • How to win this box: [specific content change]

AI Overview (if present)

  • Can we get cited? What would need to change?
  • Answer-first content format needed: [specific recommendation]
  • Schema that would help: [Article / SoftwareApplication / FAQPage]

Step 6 — Confirm Search Intent

Determine primary intent from SERP evidence — not assumptions.

Intent Type Evidence Content Implication
Informational How-to posts, definitions, PAA dominant Educational, answer-first
Commercial investigation Comparisons, reviews, best-of lists Feature tables, honest assessment
Transactional Product pages, shopping, ads dominant Pricing visible, strong CTA
Navigational Brand results, sitelinks Not a content opportunity

Primary intent: [type] Secondary intent signal: [if mixed] Content implication: [what format, tone, and CTA this SERP demands]


Step 7 — True Difficulty Score

Score overall difficulty 1–100 based on observed data:

Factor Weight This SERP
Domain authority of top 10 High [range]
Freshness requirement Medium [date-sensitive/evergreen]
SERP feature lock-in Medium [entrenched/open]
Content quality bar High [what it takes to match]
Brand dominance High [N/10 are major brands]
Backlinks required High [estimate]

Difficulty score: XX/100

Realistic outlook:

  • New site (DA <20): [honest assessment]
  • Growing site (DA 20–50) like [Your Brand]: [realistic path and timeline]
  • Established site (DA 50+): [expected timeline]

Easier alternatives: 2–3 related keywords with lower difficulty and similar intent.


Step 8 — Content Specification

Exact spec for a page that has a realistic chance of ranking:

CONTENT SPEC: [keyword]
=====================================
Format:          [listicle / how-to / comparison / definition / guide]
Word count:      [X words minimum] [based on SERP average]
Title format:    [formula that works for this SERP]
H1:             [recommendation]
Key H2s:         [list — must-haves in bold]
Must include:    [tables / FAQ / images / original data / comparison table]
Freshness req:   [must be dated / evergreen fine]
Links needed:    [estimate of backlinks to compete]
Time to rank:    [realistic estimate for [Your Brand]'s authority]
AIO opportunity: [Yes/No — what to do]
Quick win:       [Is there a featured snippet or PAA to win first?]

Output

Sections 2–8 in full, ending with the Content Specification block.

Install via CLI
npx skills add https://github.com/anandan-digital-marketer/seo-agent-skills --skill 3c-serp-analysis
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