Customer Team

Customer Intelligence
MCP Services

MCP services for customer sentiment analysis, experience benchmarking, satisfaction monitoring, and engagement intelligence for Network Security.

1Customer Intelligence Website Analyzer

Scrapes and analyzes websites in the Customer Intelligence space using AI to extract key intelligence — content quality, service offerings, pricing signals, and competitive positioning — tailored for Network Security Customer Team teams.

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MCP Tool Definition
Web Scraping GPT-4o Domain DB
customer_intelligence_website_analyzer domain: string — Target website domain to analyze depth: string — "quick" (homepage) or "deep" (all pages) focus_areas: array — Specific aspects to analyze
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape target domain homepage, /about, /services, /pricing pages Step 2: Query domain DB for IAB category, PageRank, domain age, country Step 3: Send scraped content to GPT-4o with Customer Intelligence-specific analysis prompt Step 4: Extract key intelligence: offerings, pricing, team, partnerships Step 5: Score against industry benchmarks from domain DB peers Step 6: Generate structured assessment with recommendations
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Example Output
MCP RESPONSE — customer_intelligence_website_analyzer ════════════════════════════════════════════════════════════ targetcompany.com PageRank: 5.8/10 Age: 2,847 days ANALYSIS SUMMARY Content Quality:78/100 — Professional, well-structured content Service Offerings:12 services listed, 3 appear recently added Pricing Transparency:No public pricing — enterprise-only model Digital Maturity:High — Modern tech stack, responsive design, API docs present KEY FINDINGS: Strong Customer Intelligence positioning with clear market differentiation Recent expansion into adjacent services (3 new pages in 30 days) Competitor gap: No self-service option vs. industry trend toward automation RECOMMENDATION: Monitor for pricing changes and service expansion signals

2Customer Intelligence Competitor Scanner

Discovers and analyzes competitors in the Customer Intelligence sector by querying the 100M domain database for companies in matching IAB categories, then scrapes and compares their web presence for competitive intelligence.

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MCP Tool Definition
Domain DB Web Scraping GPT-4o
customer_intelligence_competitor_scanner domain: string — Your company domain for peer matching max_competitors: integer — Number of competitors to analyze (default: 15) compare_on: array — ["pricing","features","content","tech_stack"]
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Look up target domain's IAB category and PageRank in domain DB Step 2: Find top N domains in same IAB category by PageRank Step 3: Scrape key pages (/pricing, /products, /about) for each competitor Step 4: Use GPT-4o to extract and compare service offerings Step 5: Build competitive matrix with feature/pricing comparison Step 6: Rank competitors by threat level and identify gaps
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Example Output
MCP RESPONSE — customer_intelligence_competitor_scanner ════════════════════════════════════════════════════════════ SECTOR: COMPETITORS FOUND: Top 15 analyzed COMPETITIVE MATRIX: PageRank Features Pricing Content leader-corp.comp Highp95/100 challenger-inc.comw Midw68/100 yourcompany.comw Hiddenp78/100 newcomer.iop Loww62/100 THREAT ASSESSMENT: newcomer.io — High threat: rapid feature growth, aggressive pricing challenger-inc.com — Moderate: expanding into your service areas leader-corp.com — Low immediate threat: different market segment

3Customer Intelligence Opportunity Finder

Queries the 100M domain database to discover business opportunities in Customer Intelligence — identifying growing companies, underserved market segments, and emerging trends based on domain registration patterns, PageRank growth, and IAB categorization.

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MCP Tool Definition
Domain DB GPT-4o Web Scraping
customer_intelligence_opportunity_finder iab_category: string — Target IAB category to search country: string — Geographic filter (ISO code) min_pagerank: float — Minimum PageRank threshold growth_signal: boolean — Filter for growing domains only
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Query domain DB for domains matching IAB category and filters Step 2: Identify domains with rising PageRank (growth signal) Step 3: Filter by country, domain age, and web filtering category Step 4: Scrape top opportunities for business model and size signals Step 5: Score and rank opportunities by potential value Step 6: Generate opportunity report with actionable recommendations
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Example Output
MCP RESPONSE — customer_intelligence_opportunity_finder ════════════════════════════════════════════════════════════ SEARCH: Country: US RESULTS: Top 20 scored TOP OPPORTUNITIES: fastgrow-solutions.comp PageRank: 5.2 → 6.8 (+31% in 90 days) Signal: Rapid hiring (47 new roles), new product launch detected emerging-tech.iop PageRank: 3.8 → 4.9 (+29%) Signal: Series B funding detected, API documentation added scale-platform.comw PageRank: 4.1 → 4.8 (+17%) Signal: Geographic expansion (3 new country pages) SECTOR TREND: Net growth of 12% in new domain registrations QoQ

4Customer Intelligence Compliance Checker

Scans websites in the Customer Intelligence sector for regulatory compliance indicators — checking for required disclosures, privacy policies, terms of service, accessibility standards, and industry-specific regulatory requirements using AI content analysis.

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MCP Tool Definition
Web Scraping GPT-4o Vision AI
customer_intelligence_compliance_checker domain: string — Target domain to check frameworks: array — Compliance frameworks to check against include_visual: boolean — Screenshot pages for visual compliance check
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /privacy, /terms, /legal, /compliance pages Step 2: Screenshot key pages for visual compliance indicators Step 3: Run GPT-4o analysis against selected compliance frameworks Step 4: Check for required disclosures, badges, and certifications Step 5: Identify missing elements and compliance gaps Step 6: Generate compliance scorecard with remediation priorities
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Example Output
MCP RESPONSE — customer_intelligence_compliance_checker ════════════════════════════════════════════════════════════ target-business.com Compliance Scan Results COMPLIANCE SCORE: 64/100 Privacy Policy:Present, last updated 2025-11-15 Terms of Service:Present, covers key areas Cookie Consent:Missing — no cookie banner detected Accessibility:Partial — missing alt tags on 34% of images Data Protection:GDPR notice present but CCPA rights missing Security Certs:SSL valid, SOC2 badge found on /security GAPS IDENTIFIED: 1. No cookie consent mechanism — required under GDPR/ePrivacy 2. CCPA consumer rights notice absent — required for CA users 3. Accessibility score 62/100 — below WCAG 2.1 AA standard PRIORITY: Cookie consent mechanism — highest regulatory risk

5Customer Intelligence Sentiment Monitor

Monitors and analyzes sentiment across Customer Intelligence websites by scraping press releases, blog posts, and news content, then using AI to detect tone shifts, emerging topics, and reputation signals relevant to Network Security.

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MCP Tool Definition
Web Scraping GPT-4o
customer_intelligence_sentiment_monitor domains: array — List of domains to monitor content_types: array — ["press","blog","news","reviews"] lookback_days: integer — Analysis window (default: 90)
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /press, /blog, /news pages from each domain Step 2: Extract and parse individual articles with dates Step 3: Run GPT-4o sentiment analysis on each piece of content Step 4: Classify tone: POSITIVE / NEUTRAL / DEFENSIVE / CRISIS Step 5: Detect emerging topics and language pattern shifts Step 6: Calculate trend and generate sentiment trajectory
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Example Output
MCP RESPONSE — customer_intelligence_sentiment_monitor ════════════════════════════════════════════════════════════ DOMAINS MONITORED: ARTICLES ANALYZED: 127 SENTIMENT OVERVIEW: company-alpha.comp Trend: Stable company-beta.comw Trend: Declining company-gamma.comn Trend: Sharp decline TOPIC SHIFTS DETECTED: "AI integration" — mentioned 34 times across sector (+200% QoQ) "cost optimization" — emerging defensive language pattern "restructuring" — appeared 8 times in company-gamma.com content ALERT: company-gamma.com showing pre-crisis language pattern Recommendation: Enhanced monitoring, review exposure/relationship

6Customer Intelligence Technology Detector

Detects and analyzes the technology stack, digital tools, and platform choices of companies in the Customer Intelligence space — identifying frameworks, CMS platforms, analytics tools, and AI adoption by scraping websites and analyzing source code.

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MCP Tool Definition
Web Scraping GPT-4o Domain DB
customer_intelligence_tech_detector domain: string — Target domain to analyze categories: array — ["frontend","analytics","cms","security","ai"] compare_peers: boolean — Compare against IAB category peers
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape target website HTML, headers, and JavaScript references Step 2: Detect frameworks, libraries, CMS, analytics, and CDN providers Step 3: Identify AI/ML tool adoption from API calls and script references Step 4: Query domain DB for peer comparison in same IAB category Step 5: Benchmark technology adoption against sector standards Step 6: Generate technology profile with maturity scoring
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Example Output
MCP RESPONSE — customer_intelligence_tech_detector ════════════════════════════════════════════════════════════ target-tech.com Technology Stack Analysis TECH STACK DETECTED: Frontend:React 18.2, TypeScript, Tailwind CSS CMS:Headless WordPress API Analytics:Google Analytics 4, Mixpanel, Hotjar CDN:Cloudflare (Enterprise) Security:Cloudflare WAF, reCAPTCHA v3 AI/ML:OpenAI API detected, Intercom AI chatbot MATURITY SCORE: 82/100 (Above sector average of 61) Sector Percentile: 89th percentile in Network Security NOTABLE FINDINGS: Early AI adopter — OpenAI integration ahead of 87% of peers jQuery 3.6 still loaded alongside React (legacy debt signal) Modern security posture with enterprise-grade CDN

7Customer Intelligence Leadership Tracker

Tracks executive team changes across Customer Intelligence companies by scraping /about, /team, and /leadership pages — detecting departures, new appointments, title changes, and organizational restructuring as business intelligence signals.

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MCP Tool Definition
Web Scraping GPT-4o Vision AI
customer_intelligence_leadership_tracker domains: array — List of company domains to track roles_of_interest: array — ["CEO","CTO","CFO","VP","Director"] baseline_date: string — Compare against this date snapshot
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /about, /team, /leadership pages for each domain Step 2: Screenshot team pages for visual analysis with AI Vision Step 3: Extract names, titles, and photos using GPT-4o Step 4: Compare against historical baseline Step 5: Classify changes: DEPARTURE / NEW_HIRE / PROMOTION / RESTRUCTURE Step 6: Score organizational stability and flag alerts
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Example Output
MCP RESPONSE — customer_intelligence_leadership_tracker ════════════════════════════════════════════════════════════ DOMAINS TRACKED: BASELINE: 90 days ago CHANGES DETECTED (7 events across 4 companies): company-alpha.com DEPARTURE: CFO Jane Smith — removed from /team page (2026-02-01) TITLE_CHANGE: VP Ops → "Interim CFO" (2026-02-05) company-beta.com NEW_HIRE: CTO Mike Chen — former VP Engineering at BigTechCo NEW_HIRE: VP Product — expanding product team company-gamma.com DEPARTURE: CEO and COO both removed in same week STABILITY SCORES: company-beta.com: 91/100 (Growth mode — strategic hires) company-alpha.com: 52/100 (Finance leadership gap) company-gamma.com: 23/100 (CRITICAL — dual C-suite departure)

8Customer Intelligence Brand Assessor

Evaluates brand presence and positioning for companies in Customer Intelligence by analyzing website design quality, content sophistication, social proof, and market messaging using AI vision and content analysis.

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MCP Tool Definition
Web Scraping Vision AI GPT-4o Domain DB
customer_intelligence_brand_assessor domain: string — Target domain to assess dimensions: array — ["visual","content","authority","trust"] benchmark_against: array — Optional competitor domains to compare
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Screenshot homepage, key landing pages, and about page Step 2: Analyze visual design quality with AI Vision (layout, typography, imagery) Step 3: Scrape and assess content quality (clarity, professionalism, consistency) Step 4: Extract social proof: customer logos, case studies, testimonials, awards Step 5: Check domain authority indicators from domain DB (PageRank, age) Step 6: Generate brand strength scorecard with positioning analysis
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Example Output
MCP RESPONSE — customer_intelligence_brand_assessor ════════════════════════════════════════════════════════════ brand-target.com Brand Assessment for Network Security BRAND STRENGTH SCORE: 67/100 Visual Design:81/100 — Modern, clean, professional design Content Quality:62/100 — Inconsistent tone, some outdated pages Social Proof:48/100 — Only 4 case studies, no customer logos Domain Authority:72/100 — PageRank 5.4, established domain (3,200 days) POSITIONING ANALYSIS: Strong visual identity — premium look and feel Messaging unclear — value proposition not immediately visible Weak social proof — competitors average 15+ case studies VS COMPETITORS: Rank: 3rd of 5 assessed TOP RECOMMENDATION: Add customer logos and expand case studies

9Customer Intelligence Partnership Mapper

Maps the partnership and integration ecosystem for Customer Intelligence companies by scraping /partners, /integrations, and /ecosystem pages, then cross-referencing with the domain database to assess partner health and identify collaboration opportunities.

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MCP Tool Definition
Web Scraping Domain DB GPT-4o
customer_intelligence_partnership_mapper domain: string — Target company domain depth: integer — 1 = direct partners, 2 = extended network include_health: boolean — Assess partner health from domain DB
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /partners, /integrations, /ecosystem, /marketplace pages Step 2: Extract partner company names and domains via AI entity extraction Step 3: Look up each partner in 100M domain DB for enrichment Step 4: Assess partner health (PageRank, domain age, IAB category) Step 5: Map partnership network with relationship types Step 6: Identify gaps and potential new partnership opportunities
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Example Output
MCP RESPONSE — customer_intelligence_partnership_mapper ════════════════════════════════════════════════════════════ your-company.com Partnership Ecosystem Map PARTNERS DISCOVERED: TECHNOLOGY PARTNERS (12): techpartner-a.comp Healthy Strategic integration platform-b.iop Healthy API partnership legacy-tool.netn Declining Risk: dependency on weak partner CHANNEL PARTNERS (8): reseller-one.comp Active referral program ECOSYSTEM HEALTH: Overall: 74/100 — Strong technology partnerships Risk: 3 partners showing PageRank decline (potential instability) Gap: No partnerships in Asia-Pacific region OPPORTUNITY: 14 potential partners identified in domain DB (matching IAB category, high PageRank, no existing partnership)

10Customer Intelligence Trend Reporter

Generates comprehensive trend reports for the Customer Intelligence sector by aggregating signals from the 100M domain database — analyzing new domain registrations, PageRank distribution shifts, content trend analysis, and competitive dynamics.

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MCP Tool Definition
Domain DB Web Scraping GPT-4o
customer_intelligence_trend_reporter iab_category: string — Target IAB category for analysis country: string — Geographic focus (ISO code or "global") timeframe: string — "quarterly" or "annual" trend analysis top_n: integer — Number of top trends to surface (default: 10)
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AI Processing Pipeline
PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Aggregate domain DB statistics for target IAB category Step 2: Analyze new domain registration trends and growth rates Step 3: Track PageRank distribution shifts (rising vs. falling domains) Step 4: Sample and scrape top domains for content trend analysis Step 5: Use GPT-4o to identify emerging themes and strategic shifts Step 6: Generate executive trend report with visualizable data
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Example Output

Sector Trend Report

Customer Intelligence SECTOR TREND REPORT — Q1 2026 ════════════════════════════════════════════════════════════ MARKET OVERVIEW Total domains in sector: New registrations: Average PageRank: TOP TRENDS: 1. AI Integration — 34% of top domains now mention AI capabilities (+120% YoY) 2. Sustainability Focus — ESG/sustainability pages up 45% across sector 3. Pricing Pressure — 23% of domains reduced pricing tiers this quarter 4. Consolidation — 12 acquisitions detected from press page analysis 5. Talent Competition — Average job postings up 28%, retention language emerging GROWTH LEADERS: fast-mover.comp (+91% — fastest growth in sector) innovator.iop (+29% — strong content strategy) STRATEGIC IMPLICATIONS: Sector in growth phase — increasing digital investment across the board AI adoption becoming table stakes — non-adopters risk falling behind Pricing pressure may squeeze margins for mid-market players
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