arielcoro
UserAI solutions for car dealerships: open-source agent skills for AI readiness, dealer SEO/AEO/GEO, BDC, fixed ops, equity mining, reviews, and VDP merchandising.
Categories
Indexed Skills (12)
dealer-ai-readiness-audit
Run the 75-point Dealer AI Readiness Audit on a franchise or independent car dealership. Use when the user asks to "audit dealer AI readiness", "run the dealer readiness checklist", "is my dealership AI-ready", "score my dealership", "evaluate my dealership's preparedness for AI", "find AI gaps at my dealership", "what AI should I buy for my dealership", "do an AI assessment of our store", or any request to assess a car dealer's preparedness for buying, piloting, or scaling AI tools. Also activates when discussing dealership operational gaps, governance for AI vendors, FTC Safeguards readiness in the context of AI, or AI strategy for franchise auto retail. Authored by Ariel Coro of Dealer AI Guy.
dealer-ai-referral-analytics
Audit a car dealership's AI-referrer traffic across GA4, Google Search Console, and server logs. Use when the user asks to "audit AI referral traffic for my dealer," "how much traffic am I getting from ChatGPT," "are dealers seeing ChatGPT traffic," "audit AI-engine referrals to my dealership," "set up AI referral tracking for my dealer," "audit AI Overview traffic," "audit Perplexity referrals," "are AI bots crawling my dealer site," "set up AI bot traffic reporting," "audit AI search traffic to my dealership," "AI referrer GA4 audit," "audit AI bot vs human traffic on my dealer site," or any request to measure traffic and engagement from AI search platforms. Distinct from dealer-aeo-audit (the cause side), dealer-ai-visibility (citation presence), and dealer-ai-sentiment-monitor (how engines describe). This skill measures what actually arrives on the dealer's site from AI engines and how those visitors engage. Authored by Ariel Coro of Dealer Growth Hackers, publisher of Dealer AI Guy.
dealer-ai-sentiment-monitor
Audit how AI search engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Copilot) describe and characterize a car dealership. Use when the user asks to "audit AI brand sentiment for my dealer," "what is ChatGPT saying about my dealership," "audit Perplexity sentiment on my Buick GMC store," "monitor AI tone on my dealership," "is Gemini badmouthing my dealer," "check AI engine reputation," "audit how AI describes my dealer vs competitors," "AI brand sentiment for car dealers," "are AI engines accurate about my dealership," "audit AI hallucinations about my dealer," or any request to assess the tone, accuracy, and competitive framing that AI engines use when answering questions about the dealership. Distinct from dealer-customer-sentiment-analyzer (which reads Google reviews) and dealer-ai-visibility (which tracks citation presence). This skill reads what AI engines SAY about the dealership in natural-language form, classifies sentiment, flags hallucinations, and identifies remediation paths. Authored
dealer-call-tracking-audit
Audit a car dealership's call tracking platform configuration (CallRail, Invoca, Marchex) for attribution accuracy, conversation intelligence, and integration with GA4 and Google Ads. Use when the user asks to "audit my CallRail," "audit my call tracking," "audit my Invoca setup," "audit Marchex configuration," "my phone leads are not attributed correctly," "audit call attribution at my dealer," "audit conversation intelligence," "call tracking pool sizing audit," "audit dynamic number insertion," "fix call source attribution," "validate call tracking integration with Google Ads," "audit DNI on my dealer site," "audit my dealer phone call conversions," or any audit request on a dealer's call tracking stack. Covers number pool sizing, dynamic number insertion (DNI), source mapping, conversation intelligence (call scoring, keyword spotting, transcripts), Google Ads conversion sync, GA4 event sync, CRM integration, attribution categories, and dealer-specific call routing. Platform-specific sections for CallRail,
dealer-call-transcript-classifier
Classify car dealership call transcripts into five categories with strict honesty rules. Use when the user asks to "classify call transcripts", "audit our BDC calls", "how many sales calls did we get", "review our call recordings", "analyze our CallRail dump", "classify these transcripts", "dealer call audit", "are these sales calls", "categorize our inbound calls", "how many were actual sales calls", "filter sales calls from this batch", or any request to evaluate and categorize a single call transcript, a batch of transcripts, or a CallRail/CRM export. Produces a five-class classification (Sales / Service / Parts / Finance / Other) with a strict definition of Sales that never inflates the count. For Sales-classified calls, extracts vehicle of interest, lead source, and whether contact was captured. Designed for dealer principals, GMs, BDC managers, and agencies who need honest top-of-funnel numbers. Authored by Ariel Coro of Dealer AI Guy.
dealer-customer-sentiment-analyzer
Analyze car dealership customer reviews across multiple dimensions and surface honest patterns, themes, and named-staff mentions. Use when the user asks to "analyze our reviews", "what are customers saying about us", "audit our Google reviews", "DealerRater sentiment analysis", "customer sentiment analysis", "review themes for my dealership", "what's our biggest customer complaint", "who's getting named in our reviews", "trend our review sentiment", "find which reviews need a response", or any request to evaluate, summarize, or extract insights from a dealer's customer reviews. Reads reviews from Google, DealerRater, Cars.com, Yelp, BBB, Facebook, or any pasted/exported source. Auto-detects input format (single review, batch paste, CSV export, URL-based fetch when agent has tools). Produces an honest sentiment report broken down by department (sales, service, F&I, parts), top recurring themes with quoted evidence, named-staff mentions (both positive and negative), trend analysis when time-series data is avail
dealer-equity-mining-campaign-builder
Build a complete equity mining campaign for a car dealership. Use when the user asks to "build an equity mining campaign", "design a service-to-sales campaign", "create equity mining outreach", "S2S campaign", "lease return campaign", "mine my CRM for trade opportunities", "outreach for customers in positive equity", "design a multi-channel campaign for upgrades", "trade-up campaign", or any request to plan and write campaigns targeting current customers who could trade, upgrade, or buy their next vehicle. Outputs both a campaign blueprint (cadence, channels, gates, KPIs) and ready-to-use messaging templates (SMS, email, ringless voicemail) across the 3-channel cadence. Includes compliance guardrails (opt-in gates, suppression checks, frequency caps) baked into every touch. Authored by Ariel Coro of Dealer AI Guy.
dealer-ga4-tracking-audit
Audit a car dealership's GA4 and Google Ads conversion tracking stack end-to-end. Use when the user asks to "audit my GA4," "audit my Google Analytics," "audit my conversion tracking," "fix my GA4 setup," "my conversion count looks wrong," "audit my Enhanced Conversions," "set up offline conversion import for dealer," "audit GA4 events on my dealer site," "audit my Google Ads conversion tracking," "audit cross-domain tracking on my dealer site," "audit my GTM dealer setup," "GA4 attribution audit dealer," "Google Ads + GA4 integration audit," "why are my reported leads off," "my CRM lead count does not match GA4," or any measurement-stack audit request for a dealer. Covers GA4 property configuration, event taxonomy, key events, audiences, Enhanced Conversions configuration, GA4-to-Google-Ads import, offline conversion import from CRM, cross-domain tracking, server-side tagging assessment, GTM hygiene, and dealer-specific failure patterns. Authored by Ariel Coro of Dealer Growth Hackers, publisher of Dealer AI
dealer-gbp-audit
Audit a car dealership's Google Business Profile (GBP) for local SEO and local pack performance. Use when the user asks to "audit my Google Business Profile," "audit my GBP," "audit my Google Maps listing," "score my dealer GBP," "why is my dealership not showing in Google Maps," "fix my Google Business Profile," "audit my Google My Business," "improve my local pack ranking," "audit my dealer location pages," "Google review velocity audit," "fix my GBP categories," or any local-SEO request tied to a dealer's Google presence. 10-dimension, 100-point framework covering categories, NAP consistency, hours, services, attributes, photos, posts, Q&A, review signals, and review responses. Single-rooftop default with multi-rooftop dealer-group section. Distinct from dealer-seo-audit (traditional Google web SEO), dealer-aeo-audit (AI engine citation), and dealer-site-score (technical site grading). Pairs with dealer-customer-sentiment-analyzer for review analysis. Authored by Ariel Coro of Dealer Growth Hackers, publis
dealer-new-customer-onboarding
Design a comprehensive 90-day post-sale customer onboarding program for a car dealership. Use when the user asks to "build a new customer onboarding program", "design post-sale follow-up", "90-day onboarding sequence", "sales-to-service handoff", "S2S handoff", "new vehicle owner onboarding", "post-delivery customer journey", "design our delivery process", "first service introduction program", "owner onboarding for a dealer", or any request to plan and document what happens with a customer in the first 90 days after they purchase or lease a vehicle. Produces a complete multi-channel program covering day 0 (delivery) through day 90 (first service intro), including email touchpoints, SMS sequences, in-person handoffs, OEM connected-services activation, review request timing, and the critical sales-to-service handoff that determines whether the customer returns for paid maintenance. Pairs with dealer-equity-mining-campaign-builder (which picks up at month 6+), dealer-email-flows (which covers the broader lifecyc
dealer-search-strategy
Generate a comprehensive search strategy document for a car dealership covering SEO (Search Engine Optimization), AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization). Use when the user asks to "build a search strategy", "SEO strategy for my dealership", "AEO strategy", "GEO strategy", "AI search strategy", "LLM SEO plan", "ChatGPT SEO strategy", "Perplexity strategy", "Gemini visibility", "comprehensive search plan", "organic search strategy", "dealer SEO plan", "dealer AEO plan", "dealer GEO plan", "how to rank in Google and ChatGPT", "search visibility strategy", "integrated search plan", "how to rank in AI search", "generative search optimization", or any request to plan the dealer's strategy for being found in both traditional search engines (Google, Bing) and AI answer engines (ChatGPT, Perplexity, Gemini, Claude, Copilot). Clarifies the difference between SEO, AEO, and GEO and produces a unified strategy that addresses all three. Pairs with dealer-aeo-audit, dealer-site-score, dea
dealer-seo-audit
Run a comprehensive traditional Google SEO audit on a car dealership website. Use when the user asks to "audit my dealer SEO", "SEO audit for my dealership", "why am I not ranking", "technical SEO audit for dealer", "on-page SEO audit", "indexation issues", "keyword cannibalization at my dealership", "internal linking audit", "hreflang audit for bilingual dealer", "Spanish-language SEO", "local SEO audit for car dealer", "site SEO health check", "my dealer site isn't ranking", "Google update hit my dealership", "lost rankings", "crawl errors", or any request to evaluate or improve traditional Google search ranking for a car dealer site. Covers crawlability, indexation, on-page SEO (titles, metas, headings, keyword targeting), content quality and E-E-A-T, internal linking, URL structure, local SEO (NAP, GBP, location pages, "near me" optimization), inventory feed SEO (Vehicle schema, VDP freshness, no duplicate descriptions), hreflang for bilingual sites, and dealer-specific patterns (aged inventory, OEM-manda
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