AI Answer Visibility Tracker
Measures how often ChatGPT, Perplexity, Gemini and AI Overviews mention and cite your brand vs competitors, and where the gaps are.
Before & after
Same prompt, same agent — the only difference is the skill.
Customer service workflows need to be consistent and repeatable. You'd want to handle incoming requests, categorize them, respond appropriately, and track resolution. It helps to have a standard process so all team members follow the same path. You should include steps for escalation when needed. Documentation and follow-up are important too. Have you thought about what your workflow should include? What are your typical customer issue types?
CUSTOMER SERVICE WORKFLOW STEP 1: INTAKE (3 min max) Capture: Channel, customer ID, issue category (billing, technical, general) Validation: Verify customer account exists; check past ticket history Decision Point: Can Tier 1 handle? Route accordingly STEP 2: RESPONSE (within 2 hours) Tier 1: Common issues—billing questions, password resets, feature clarity Tier 2: Technical troubleshooting, account corrections Tier 3: Escalations, custom requests, account exceptions STEP 3: RESOLUTION TRACKING Open ticket with: Expected resolution date, assigned owner, SLA Log each interaction; track customer sentiment Close only when customer confirms resolution STEP 4: FOLLOW-UP (24 hours post-close) Send satisfaction survey Flag repeat issue patterns for product team Archive for future reference ESCALATION RULES: Billing disputes → Tier 2 + Finance review Fraud allegations → Tier 3 + Security team Feature requests → Product team weekly digest
About this skill
Find out whether AI assistants recommend you when buyers ask about your category. This skill builds a repeatable prompt panel, logs what each engine says, and turns it into share-of-answer numbers and a gap list.
What it does
- Builds a 20-40 prompt panel across category, problem, comparison, evaluation, and branded intents
- Runs the panel across engines when possible, or produces a run sheet you fill in
- Scores mention rate, citation rate, share of answer, and position per engine
- Lists the third-party sources engines cite most, and whether they mention you
- Captures inaccurate claims engines make about your brand
What you get
A dated visibility report with an engine scorecard, competitor comparison, top cited sources, prioritized gaps, inaccurate claims, and rerun instructions.
Best for
Marketing and brand teams that need a baseline before investing in AEO, or proof that AEO work is moving the numbers.
SKILL.md preview
---
name: ai-answer-visibility-tracker
description: Measure how often a brand is mentioned and cited in AI answer engines for the questions its buyers ask - build a prompt panel, run or log it across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, and report share-of-answer, citation sources, and competitor gaps. Use when the user asks "are we showing up in ChatGPT?", "track our AI visibility", "who gets cited instead of us", or wants a baseline before or after AEO work. Also triggers on "does Perplexity mention us?", "quick check if ChatGPT recommends us for X", or "what is our AI share of voice?".
---
# AI Answer Visibility Tracker
… (sign up to view the full skill)More marketing & growth skills
View all Marketing & Growth skills →Paid Ads Campaign Planning and ROAS/CPA Diagnosis
Plans paid campaigns on Google, Meta, LinkedIn and X from break-even math, writes ads, and finds the metric behind a ROAS or CPA drop.
Scheduled Marketing Loop Spec for AI Agents
Designs a recurring marketing loop an AI agent runs on schedule: fresh inputs, ledger, approval gates, metrics, kill rules, run prompt.
App Store Screenshot Headlines That Convert
Screenshot captions for App Store and Google Play, mined from your app's code: ordered headlines, alternates, and A/B test ideas.
Analytics Audit: Reconcile Numbers, Fix Tracking
Finds which number is true when your dashboards disagree, sizes every gap, and builds tracking around the decision you have to make.