AI & ChatGPT Optimization

SOP-05: AI Search Optimization (AEO) — Future Priority

Last Updated: 2026-03-26 Owner: SEO Specialist Status: Strategic Development (Not Yet Full Implementation)

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Overview

This SOP outlines AI Search Optimization (AEO) strategy currently under development. Nick is enrolled in an advanced AEO training program, and this SOP will be expanded as the strategy solidifies. For now, this SOP focuses on immediate executable components (audience avatars, basic monitoring) while the broader AEO framework is being developed.

Current Status:

• Audience avatar creation: ACTIVE (foundational work)
• Basic AI visibility baseline: ACTIVE (monitoring only, not yet driving strategy)
• Comprehensive AEO strategy: IN DEVELOPMENT (full rollout TBD)

Reference:

• “AI Search Optimization” training transcript (Nick’s internal research)

Escalation Path: SEO Specialist → CSM → Ops Lead → Nick

All communication in Task Tracker (not Slack)

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SECTION 1: AUDIENCE AVATAR CREATION

Trigger

• P0 phase: start of new client engagement
• Quarterly review and update

Owner

SEO Specialist (with Claude Code support)

Avatar Generation Process

Audience avatars are customer personas that guide ALL content strategy. These are used across multiple SOPs (technical SEO, GBP management, content creation).

Steps

1. Generate Avatars via Claude Code

   • Use prompt from 13-ai-prompt-library.md: “Create customer avatar for [service] business in [city]”
   • Request 1-3 distinct personas (typically: quick buyer, researcher, high-value enterprise)
   • Output includes: demographics, pain points, decision-making process, information sources

2. Document Avatar Details

   • Name: Give avatar a memorable name (helps team internalize)
   • Demographics: Age, job title, household income, family status
   • Business challenges: What problem brings them to search?
   • Objections: What concerns hold them back? (Price? Warranty? Timeline?)
   • Decision process: How do they choose a provider? (Reviews? Recommendation? Price shop?)
   • Information sources: Where do they research? (Google, social, reviews, word-of-mouth?)
   • Preferred communication: Phone? Email? Chat? Social DM?

3. Save in Client Folder

   • Store avatars in Task Tracker: /client-files/[CLIENT]/Audience-Avatars/
   • Format: simple document or spreadsheet (easy to reference)
   • Share with team so everyone references same avatars

4. Use Across Content Strategy

   • Technical SEO (SOP-03): FAQ questions generated from avatar pain points
   • GBP Management (SOP-02): Post topics shaped by avatar interests
   • Service pages: Voice and tone matched to avatar communication style
   • Internal linking: Page organization driven by avatar journey

5. Quarterly Review & Updates

   • Every 3 months: revisit avatars based on new client feedback
   • Have avatars changed? (New market segment? Different buyer profile?)
   • Update if needed; share updated versions with team
   • Document updates in Task Tracker

QC Checklist

• 1-3 audience avatars generated via Claude Code
• Each avatar documented with name, demographics, pain points, decision process, info sources
• Avatars saved in client folder in Task Tracker
• Team trained on avatars (understand who they are)
• Avatars used in content strategy decisions (documented cross-reference)
• Quarterly reviews scheduled and completed
• Updates documented when avatars change

KPIs

• Avatar creation: 100% of new clients (within 2 weeks of P0 start)
• Avatar documentation: complete (all fields filled for each persona)
• Quarterly review execution: 100% (zero missed quarters)
• Content alignment: 80%+ of content strategy decisions reference avatars

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SECTION 2: BASIC AI VISIBILITY MONITORING

Trigger

• P4 phase: ongoing (monthly monitoring)
• Monthly check-in (by 15th of each month)

Owner

SEO Specialist

Monitoring Process

This is MONITORING ONLY at this stage. We’re tracking AI visibility but not yet driving comprehensive AEO strategy. Tracking data will inform future strategic decisions.

Steps

1. Create AI Query Test List

   • 10-15 test queries covering client’s primary services and locations
   • Include: direct recommendation queries, advice queries, comparison queries
   • Example: “Who’s the best plumber in Denver?”, “What’s a good HVAC service near me?”, “How much does landscaping cost?”

2. Baseline Test (P4 Phase Start)

   • Run all queries in ChatGPT: does client appear? In what context?
   • Run in Perplexity: which sources are cited? Does client appear?
   • Run in Google AI Overviews: does client appear in overview section?
   • Take screenshots of results
   • Create baseline scorecard: query | platform | client appears? | position/context | notes

3. Monthly Re-Test

   • By 15th of each month, re-run same query list across platforms
   • Compare current results to previous month
   • Document changes: new platform appearances, position shifts, accuracy
   • Note: competitor changes (are different competitors appearing?)

4. Document Findings

   • Monthly update to baseline scorecard
   • Track: improving, stable, or declining across platforms
   • Note any inaccuracies in AI responses (if AI mentions client but with wrong info)
   • Save month-over-month comparisons in Task Tracker

5. Include in Monthly Report

   • Section: “AI Visibility Tracking Update”
   • Current status (on which platforms appearing, context)
   • Trend (month-over-month)
   • Areas of strength and gaps
   • Note: “Full AEO strategy under development”

QC Checklist

• AI query test list created (10-15 queries, diverse types)
• Baseline scorecard completed (P4 phase)
• Monthly re-tests executed on schedule (by 15th)
• Screenshots captured for all platforms
• Trend analysis documented (improving/stable/declining)
• Competitor mentions tracked
• Accuracy notes recorded (any misinformation in AI?)
• Monthly report section drafted
• Data saved in Task Tracker

KPIs

• Baseline completion: within 2 weeks of P4 start
• Monthly monitoring: 100% (zero missed months, by 15th of each month)
• Query coverage: 10-15 distinct queries tested
• Platform coverage: ChatGPT, Perplexity, Google AI Overviews
• Documentation consistency: monthly scorecards filed

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SECTION 3: FOUNDATIONAL SETUP FOR FUTURE AEO STRATEGY

Current Foundation Work

These elements are foundational to comprehensive AEO strategy (to be fully implemented as Nick’s training develops):

1. Audience Avatars (Section 1)

   • Already implemented and maintained quarterly
   • Guides all content decisions

2. Schema Markup Completeness (per SOP-03, Section 5)

   • LocalBusiness schema with full properties
   • Service schema on all service pages
   • FAQPage schema with 20+ questions
   • sameAs linking all directory citations
   • Importance for AEO: Rich schema helps AI models understand business structure and services

3. Citation Presence (per SOP-04)

   • 40+ citations across all tiers
   • High-quality profiles on Tier 1 (Google, Apple, Bing) and Tier 2 (Yelp, BBB)
   • Importance for AEO: AI models train on directory and review data; strong presence increases citation visibility

4. Content Quality (per SOP-03, Section 2)

   • Service pages with direct answers to customer queries
   • Location pages with local specifics
   • FAQ pages addressing common questions
   • E-E-A-T signals (expertise, experience, authoritativeness, trustworthiness)
   • Importance for AEO: AI models pull from content as source material; comprehensive, accurate content improves citation in AI responses

5. GBP Optimization (per SOP-02)

   • Complete profile with photos, hours, service area
   • Monthly posting schedule
   • Positive reviews and engagement
   • Importance for AEO: GBP is a primary data source for AI models

Connection to Training Program

Nick’s AI Search Optimization training is developing:

• Refined audience targeting strategies
• Content optimization specifically for AI consumption
• Emerging AEO tools and tactics
• Measurement frameworks for AEO impact
• Competitive positioning in AI-driven search

This SOP will be expanded as training insights are integrated and tested.

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SECTION 4: CURRENT CONSTRAINTS & FUTURE EXPANSION

Why Full AEO Strategy Isn’t Implemented Yet

1. Tools are nascent — AEO-specific tools and best practices are still evolving
2. Google AI Overviews still rolling out — Coverage and behavior changing monthly
3. ChatGPT search still new — Feature set and behavior still being defined
4. Training in progress — Nick’s program developing comprehensive methodology
5. Measurement uncertainty — How to attribute traffic/conversions to AEO changes unclear yet

What Will Expand This SOP

1. Content optimization specifically for AI extraction

   • Formatting for AI preference (direct answers, specific data points)
   • Keyword strategy adjusted for conversational AI queries
   • Structure optimization for AI citation pull

2. Competitive AEO positioning

   • How to beat competitors in AI recommendations
   • Brand positioning in AI context
   • Authority-building for AI-driven recommendations

3. Tool integration

   • Potential AEO-specific monitoring tools (as they mature)
   • AI citation tracking automation
   • Visibility metrics and dashboards

4. Measurement framework

   • How to measure AEO impact on traffic and conversions
   • Attribution model for AI-driven inquiries
   • KPIs specific to AI search visibility

5. Tactical implementation

   • Content calendar changes for AEO optimization
   • FAQ expansion for AI consumption
   • Entity linking strategy for AI entity recognition

Expected Expansion Timeline

• Q2 2026: Training program completion, initial findings integration
• Q3 2026: Pilot testing with 3-5 clients, measurement framework development
• Q4 2026: Full rollout of revised AEO strategy, expanded SOP
• Q1 2027: Optimization and refinement based on performance data

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Communication & Escalation

All Communication Location

Task Tracker (not Slack). Document all monitoring results, baseline updates, and AEO observations in Task Tracker.

Escalation Path

Scenario	Action	Timeline	Escalation
Client not appearing in any AI platform	Document in baseline, note as gap, continue monitoring	Monthly	No immediate escalation; note for future strategy
Client appears but with inaccurate info	Trace to source (directory? website?), correct source, re-test in 1 month	Within 1 week	SEO Specialist → CSM if client reputation issue
Competitor appearing in AI, client not	Document competitive gap, note for future AEO strategy	Monthly	No escalation yet; strategic discussion when AEO expands
Client asks about AI visibility	Share monthly monitoring data, explain we’re tracking and developing strategy	Same day	CSM with SEO Specialist backup
New AI platform emerges (Perplexity alternative?)	Add to test list, include in next month’s testing	Within 1 week	SEO Specialist notes for future expansion

Cadence for Recurring Tasks

• Monthly (by 15th): Re-test AI query list, update baseline scorecard, document findings
• Quarterly: Review monitoring trends, assess if patterns emerging
• Quarterly: Avatar review and update (if applicable)
• Annually: Strategy review with Ops Lead/Nick, discuss expansion based on training progress

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Related Documentation

• 00-client-lifecycle-playbook.md — Project phases and timelines
• 01-role-seo-specialist.md — SEO Specialist responsibilities
• 02-sop-gbp-management.md — GBP optimization (foundational for AEO)
• 03-sop-technical-seo.md — Schema markup and content (foundational for AEO)
• 04-sop-offsite-seo.md — Citation building (foundational for AEO)
• 13-ai-prompt-library.md — Avatar generation prompts

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Tools & Skills Reference

• ChatGPT — Test platform for AI recommendation visibility
• Perplexity — Test platform (shows sources, useful for source attribution)
• Google AI Overviews — Google’s native AI response feature
• Claude Code — Audience avatar generation
• Task Tracker — Baseline and monitoring documentation

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Summary: Current vs. Future State

Component	Current (2026 Q1)	Future (2026 Q4)
Audience avatars	ACTIVE (created, maintained quarterly)	ACTIVE (refined based on AEO insights)
AI visibility monitoring	ACTIVE (baseline + monthly tracking)	ACTIVE (expanded metrics, attribution)
Content optimization for AI	PARTIAL (good content practices in SOP-03)	EXPANDED (AI-specific formatting, extraction optimization)
Competitive AEO positioning	NOT YET (observing only)	ACTIVE (competitive strategy, content gaps)
Measurement framework	NOT YET (tracking only)	ACTIVE (traffic attribution, KPIs)
Tool integration	Manual testing only	EXPANDED (automation, dashboards)
Strategy maturity	Foundation-building	Full implementation

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Document Version: 2.0 (Rewritten per Nick’s Review - Future Priority Status) Last Updated: 2026-03-26 Owner: SEO Specialist (with Ops Lead oversight) Next Review: 2026-06-26 (or upon training program completion, whichever comes first)