content-intent-agent

majiayu000's avatarfrom majiayu000

Verifies content matches user search intent to maximize sales, leads, digital sales, and mailing list growth through 34 verification modules and 16-part scoring system

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When & Why to Use This Skill

This Claude skill provides a comprehensive 34-module verification framework and a 16-part scoring system designed to align digital content with user search intent. It acts as an automated conversion engineer, auditing landing pages and marketing assets to maximize sales, lead generation, and ROI while ensuring strict adherence to global regulatory compliance standards.

Use Cases

  • Landing Page Audit: Automatically evaluate landing pages against 34 specialized modules to ensure headlines, CTAs, and trust signals perfectly match the user's specific search intent (Transactional, Commercial, or Informational).
  • Ad-to-Page Parity: Verify consistency between ad copy and landing page content to maintain 'conversion scent,' improve quality scores, and reduce bounce rates.
  • Regulatory & Legal Compliance: Scan marketing claims and testimonials for compliance with FTC, ACL, and GDPR regulations to avoid massive fines and protect brand reputation.
  • AI Search Optimization: Optimize content for conversational AI engines (like Perplexity, SGE, and Claude) by validating answer completeness and semantic structure for better visibility in LLM-driven search.
  • Conversion Friction Reduction: Identify and eliminate UX bottlenecks, such as excessive form fields or missing mobile hand-offs, using the 16-part Conversion Readiness Scorecard.
namecontent-intent-agent
descriptionVerifies content matches user search intent to maximize sales, leads, digital sales, and mailing list growth through 34 verification modules and 16-part scoring system

Content Intent Agent Skill

Purpose

Verifies every piece of content matches user search intent to maximize:

  • Sales (e-commerce, products, services)
  • Leads (quotes, consultations, demos)
  • Digital sales (courses, memberships, digital products)
  • Mailing list growth (email subscribers, newsletter signups)

34 verification modules + 16-part scoring system = Complete conversion optimization framework with veto power.

Prerequisites

Requires .claude-project-config.json in project root with:

  • Jurisdiction & compliance frameworks
  • Target demographics (age, income, disabilities, location)
  • Psychographics (pain points, desires, fears, buying triggers)
  • Conversion goals (primary and secondary)
  • Intent rules (query classification, required modules)
  • Offer library (lead magnets, calculators, coupons)
  • KPI requirements (analytics events to track)
  • Conversion optimization settings

User must research and populate all sections before using skill.


THE 34 VERIFICATION MODULES

TRADITIONAL SEARCH INTENT (1-15)

1. Deep Semantic Intent Matching

Verifies headlines/CTAs mirror search query + intent modifiers ("buy", "how", "reviews").

Veto if: H1 missing primary keyword, intro doesn't address query in first 100 words.

2. Query Classifier & Stage Inference

Auto-classifies: transactional/commercial/informational/navigational/local/branded/problem-aware Maps to: BOFU/MOFU/TOFU

Veto if: TOFU content with hard "Buy Now" CTA, BOFU with weak "Learn More".

3. Intent-Template Validator

Enforces required components per intent:

  • Transactional: above-fold price/CTA, trust badges, phone tap, financing, FAQ, returns
  • Commercial: comparison table, pros/cons, "best for" segments, social proof, soft CTA
  • Local: NAP, service area map, call button, hours, GBP cues
  • Informational: answer box, step list, FAQ schema, lead magnet

Veto if: Missing any required module for detected intent class.

4. Dynamic User Intent Feedback Loop

Simulates persona flows - validates target users can complete desired actions.

Veto if: Persona simulation shows confusion, can't complete conversion, trust insufficient.

5. Competitor Intent Gap Analysis

Analyzes top 10 SERP competitors for same keywords, flags missing USPs/trust elements.

Veto if: Missing critical elements present on all top 3 competitors.

6. SERP Pattern Mirror & Differentiation

Parses top-10 patterns (lists, tables, FAQs, calculators), enforces common modules + 1 unique element.

Veto if: Missing patterns present in 70%+ of top 10, or zero differentiation.

7. Ad-to-Landing Parity Guard

Validates headline/USP/price/phone consistency between ads and landing pages.

Veto if: Ad keyword not in H1, price differs, phone number differs, USP absent.

8. Negative-Intent & Disqualifier Filter

Detects mismatched sub-intents ("free", "DIY", "jobs"), forces alternate offers.

Veto if: Hard conversion CTA on "free" intent, no lead magnet on informational query.

9. Offer/Lead Magnet Selector

Maps offer type to intent + persona: pricing PDF for BOFU B2B, coupon for ecommerce.

Veto if: Wrong offer type for intent, no offer for MOFU/TOFU traffic.

10. Trust Signal Orchestrator

Manages persona-weighted placement of logos, testimonials, certifications, guarantees.

Veto if: No trust signals above fold BOFU, outdated proof, trust density insufficient for high-ticket.

11. Conversion Readiness Scorecard

Computes 16 scores (0-100 each): Intent Fit, Scent, Trust, UX Friction, Accessibility, Offer Fit, LLM Optimisation, Affiliate Performance, Momentum Flow, Objection Coverage, Urgency Integrity, Exit-Rescue, Revenue Expansion, Multi-Device, CRM Tagging, Zero-Friction.

Veto thresholds: See config - typically 75-100 per score.

12. Schema-by-Intent Enforcer

Validates structured data: Product/Service, FAQ, Review, LocalBusiness, HowTo, ItemList, Breadcrumb.

Veto if: Missing required schema for intent class.

13. Calculator/Quote Trigger

Detects pricing intent ("cost", "price", "calculator"), enforces working estimator.

Veto if: Pricing intent without calculator/quote form, or non-functional.

14. Language/Locale & Variants Guard

Enforces jurisdiction-specific: spelling (US/UK/AU/CA), currency, units, date/phone formats.

Veto if: Wrong spelling variant, wrong currency, wrong measurement units, generic examples.

15. Cannibalisation & Routing Check

Detects multiple pages targeting same intent/keyword, suggests consolidation.

Veto if: New page duplicates existing page intent without clear differentiation.


COMPLIANCE & TRACKING (16-17)

16. Compliance & Claims Gate

Jurisdiction-aware enforcement:

  • US (FTC): Material connection disclosure, testimonials reflect typical results, health claims substantiated, up to $43,792 per violation
  • Australia (ACL): Testimonials genuine/verifiable, "results not typical" required, up to $1.1M fines
  • UK (ASA): Claims substantiated pre-publication, comparative claims need proof
  • EU (GDPR): Privacy policy required, right to be forgotten, environmental claims substantiated
  • Canada: Performance claims need testing, "regular price" must be genuine

Veto if: Superlative without proof, fake testimonials, medical claims without disclaimers, missing compliance for jurisdiction.

17. KPI Instrumentation Hooks

Asserts events: view_item, generate_lead, begin_checkout, phone_click, scroll_depth, form_error.

Veto if: Missing required events, phone not clickable (tel: link), UTM parameters malformed.


ADVANCED CONVERSION (18-21)

18. Golden Path & Fallback CTA

Primary CTA + friction-reduced fallback (phone, chat, "email me pricing", WhatsApp).

Veto if: Only one CTA, fallback not truly reduced friction, no low-commitment option TOFU/MOFU.

19. Automated UX & Accessibility Scans

Scans forms/CTAs for: touch targets (44-48px), contrast (WCAG AAA for elderly), labels, mobile responsiveness.

Veto if: Touch targets <44px (elderly demographic), contrast below WCAG AAA, form missing labels, mobile broken.

20. AI-Powered Content Personalisation

Proposes segment-specific adjustments: headline variations for elderly vs B2B, CTA rotation for new vs repeat.

Veto if: No personalisation strategy for multi-persona pages, single message for conflicting personas.

21. Intent-Driven A/B Testing Protocol

Mandatory split-testing: headline, CTA button, trust elements per intent.

Veto if: No testing plan for new high-value pages, can't measure results.


LLM/AI SEARCH (22)

22. LLM/Conversational Search Intent

Optimizes for ChatGPT, Claude, Perplexity, SearchGPT, Google SGE, voice assistants.

Components:

  • Conversational Intent Classifier (question type, user stage, pain level)
  • Answer Completeness Validator (primary + all sub-questions answered)
  • Context Awareness Checker (acknowledges user's situation)
  • Follow-up Question Anticipator (pre-answers obvious next questions)
  • Citation/Source Optimisation (complete sentences for LLM extraction)
  • Conversational Tone Matcher (matches tone to query emotion)
  • Multi-Modal Answer Structure (voice, visual AI, code extraction)
  • Natural Language Query Mapping (tracks queries to content sections)
  • AI Search Behaviour Adaptation (platform-specific preferences)

Veto if: Primary question answered <150 words (too shallow), obvious sub-questions not addressed, key facts in bullet fragments LLMs can't extract.


AFFILIATE CONTENT (23)

23. Affiliate Offer Intent Matching

A. Offer-Intent Alignment: Recommended product genuinely solves stated problem, budget appropriate, commission vs quality resolved in user's favor.

B. Recommendation Credibility: Clear methodology, specific testing details, cons disclosed, update dates visible.

C. Affiliate Disclosure Compliance (Multi-Jurisdiction):

  • US (FTC): "We earn from qualifying purchases" - clear & conspicuous, $43,792 per violation
  • Australia (ACL): Plain English before links, $1.1M fines
  • UK (ASA): "#ad" or "Advertisement" labels
  • EU: "Advertising" or "Sponsored" required
  • Canada: Material connection per recommendation

D. Comparison Fairness: Objective criteria, all relevant products, better non-affiliate options included.

E. Multi-Merchant Conversion: Multiple retailers, price comparison, in-stock status.

F. Trust Architecture: Editorial independence, expert credentials, testing transparency.

Veto if: Product doesn't meet requirements, budget ignored, no disclosure, disclosure non-compliant, comparison biased.


CONVERSION ENGINEERING (24-34)

24. Conversion Momentum Sequencing

Enforces micro-commitments: quiz → results → email → consultation (not giant leap).

Impact: +35-60% conversion. Veto if: Jumps straight to hard conversion, no micro-options, dead ends.

25. Intent-Matched Objection Handling

Pre-answers objections at decision points:

  • BOFU pricing: "Why this price?" below price
  • Local: "What if not in my area?" above service map
  • Elderly: "Is this safe/easy?" near CTA
  • B2B: "What's ROI?" before pricing

Impact: +20-35% completion. Veto if: Obvious objections not addressed, objections buried.

26. Post-Search Proof Density Guard

Zone-based minimums:

  • Hero: 1 trust signal above fold
  • Mid-page: 2-3 proof elements
  • CTA zone: 2 within 300px (3-4 for high-ticket)

CRITICAL - FAKE TESTIMONIAL DETECTION (ZERO TOLERANCE):

✅ Required:

  • Real people: Full name, city, photo with permission
  • Verifiable: Can provide proof if challenged
  • Current: Within 18 months or marked [year]
  • Disclosure: If paid/incentivized, must disclose

❌ INSTANT VETO:

  • Stock photos
  • AI-generated reviews
  • Generic names ("John S.")
  • Unverifiable claims
  • Exceptional results without disclaimer

Consequences: FTC $43,792 per fake, ACL $1.1M, reputation destroyed.

Impact: +15-40% lift. Veto if: Zero proof above fold, ANY fake testimonials = INSTANT VETO.

27. Ethical Urgency & Scarcity Automation

✅ Allowed: Real inventory, actual calendar, genuine promos, true batch limits.

❌ Blocked (INSTANT VETO): Countdown resets, "Only X left" with infinite stock, fake counters, manufactured urgency.

Impact: +30-80% conversion. Veto if: ANY fake scarcity = INSTANT VETO.

28. Lead-Rescue Automation

Exit intent + idle triggers with intent-matched offers.

Impact: +20-50% additional capture. Veto if: No exit capture, intrusive, triggers repeatedly.

29. Revenue Expansion Layer

Upsells/cross-sells at decision point.

Impact: +15-40% AOV. Veto if: No expansion options, poorly positioned, forced bundles.

30. Multi-Device CTA Continuity

Hand-offs: Mobile→Desktop, Desktop→Mobile, cross-session.

Impact: +20-35% from multi-device users. Veto if: No hand-off, cart doesn't persist.

31. Search-Intent CRM Tagging

Tags leads: intent_type, funnel_stage, query, device, engagement.

Impact: +25-60% email→sale conversion. Veto if: Leads without intent tags, follow-up not differentiated.

32. Zero-Friction Conversion Paths

Express checkout, guest checkout, pre-filled forms, social login, max 5 fields.

Impact: -30-50% abandonment, +40-60% mobile conversion. Veto if: No express checkout, account required, >5 required fields.

33. Exit Intent Precision Rescue

Behavior-specific (not generic): viewed pricing → discount, used calculator → save results.

Impact: 20-40% of abandoning visitors captured. Veto if: Generic popup, triggers <10 seconds, covers content.

34. Live Engagement & AI Agent

Real-time assistance at high-value moments: pricing, comparison, checkout.

Impact: +20-35% for high-ticket/B2B. Veto if: No live option for high-ticket (>$2,000), chat missing on pricing.


16-PART CONVERSION READINESS SCORECARD

All scores 0-100:

  1. Intent Fit (< 85 = veto) - H1/intro/body/CTA alignment
  2. Scent (< 80 = veto) - Ad↔landing parity
  3. Trust/E-E-A-T (< 70 = veto BOFU) - Proof variety/recency
  4. UX Friction (< 75 = veto) - Form fields, mobile, load
  5. Accessibility (< 80 = veto elderly) - Contrast, labels
  6. Offer Fit (< 75 = veto) - Lead magnet appropriate
  7. LLM Optimisation (< 75 = veto conversational) - Answer completeness
  8. Affiliate Performance (< 75 = veto affiliate) - Credibility, disclosure
  9. Momentum Flow (< 85 = veto) - Micro-commitments present
  10. Objection Coverage (< 80 = veto) - Top 3 objections addressed
  11. Urgency Integrity (100 required) - NO fake scarcity
  12. Exit-Rescue (< 75 = veto) - Exit capture present
  13. Revenue Expansion (< 70 = veto) - Upsell opportunities
  14. Multi-Device Continuity (< 75 = veto) - Hand-offs exist
  15. CRM Intent-Tagging (100 required) - All leads tagged
  16. Zero-Friction (< 75 = veto) - Express checkout, min fields

CONFIG FILE SCHEMA

Create .claude-project-config.json in project root:

{
  "project_name": "Your Project",
  "jurisdiction": {
    "primary_country": "AU",
    "compliance_frameworks": ["ACL"],
    "language_locale": "en-AU",
    "currency": "AUD",
    "measurement_units": "metric"
  },
  "target_demographics": {
    "age": "65-85",
    "income": "middle to upper middle",
    "disabilities": "mobility impaired",
    "location": "Australia"
  },
  "psychographics": {
    "pain_points": ["loss of independence", "fear of falls"],
    "desires": ["maintain dignity", "stay active"],
    "buying_triggers": ["doctor recommendation"]
  },
  "conversion_goals": {
    "primary": "phone_enquiries",
    "secondary": ["email_leads"]
  },
  "intent_rules": {
    "classes": ["transactional", "commercial", "informational", "local"],
    "required_modules": {
      "transactional": ["price_block", "primary_cta", "trust_cluster"]
    },
    "schema_required": {
      "transactional": ["Product", "FAQ"]
    }
  },
  "offer_library": [
    {"id": "buyers_guide", "fits": ["informational"], "goal": "email"}
  ],
  "kpi_assertions": {
    "required_events": ["generate_lead", "phone_click"],
    "utm_policy": "required"
  },
  "psychological_triggers": {
    "elderly": ["safety", "independence", "dignity"]
  },
  "conversion_optimization": {
    "momentum_sequencing": {"enabled": true},
    "urgency_rules": {"fake_scarcity_blocked": true},
    "exit_rescue": {"enabled": true},
    "zero_friction": {"express_checkout_required": true}
  },
  "veto_thresholds": {
    "intent_fit": 85,
    "urgency_integrity": 100,
    "crm_intent_tagging": 100
  }
}

USAGE

Activation

PM orchestrator directs agent when verification needed:

Create landing page for "buy mobility scooter Brisbane"
then verify with content-intent-agent skill

Agent:

  1. Reads .claude-project-config.json from project root
  2. Evaluates content against all 34 modules
  3. Computes 16-part scorecard
  4. Returns APPROVED or VETO with detailed feedback

Feedback Format

VETO - Critical issues prevent shipping

Intent Fit: 72 (threshold 85) ❌
Momentum Flow: 68 (threshold 85) ❌

CRITICAL ISSUES:

1. Line 12, H1: Missing transactional intent modifiers
   Why: Informational framing on BOFU query depresses conversion 50-70%
   Fix: Change to "Buy Kymco Mini Comfort - Price & Free Delivery"
   
2. Module 26: Stock photo testimonial detected
   Why: FTC violation $43,792, destroys trust
   Fix: Remove stock photo, use real customer with signed release

EXPECTED RESULTS

With all 34 modules:

  • Overall conversion: +60-120%
  • Lead capture: +50-80%
  • Phone calls: +40-60%
  • AOV: +15-40%
  • Mobile conversion: +40-60%
  • Email→sale: +25-60%
  • CPA: -30-50%

CRITICAL COMPLIANCE

ZERO TOLERANCE:

  1. Fake testimonials (stock photos, AI, unverifiable) = FTC $43,792 per, ACL $1.1M
  2. Fake scarcity (countdown resets, false "only X left") = Regulatory violations
  3. Deceptive claims (superlatives without proof) = Fines + reputation damage

VERSION

v1.3.0 - Complete with 34 modules + 16-part scoring


SUMMARY

Complete conversion optimization system verifying content against 34 criteria to ensure maximum sales, leads, and list growth.

Key principles:

  1. User intent first
  2. Conversion engineering
  3. Ethical compliance (zero fake tactics)
  4. Multi-platform (traditional + AI search)
  5. Data-driven (16-part scorecard)

Every visitor has a job to be done. This skill ensures content helps them do that job while achieving business goals.