AEO Marketing Plan: Step-by-Step 90-Day Implementation

A structured AEO marketing plan transforms answer engine optimization from concept to results. This 90-day implementation guide provides a phase-by-phase approach to building AI visibility, from initial audits through scaled optimization.

Research shows measurable AEO results typically emerge within 30-90 days depending on tactics and baseline authority. This plan structures activities to maximize impact within that timeline.

Why 90 Days for AEO Implementation?

The 90-day timeframe balances urgency with realistic execution. Technical optimizations can show results within weeks, but authority signals and content optimization require sustained effort before AI systems recognize changes.

Key timeline considerations:

  • Weeks 1-4: Foundation building produces minimal visible results
  • Weeks 5-8: Initial visibility improvements begin appearing
  • Weeks 9-12: Compounding effects generate measurable outcomes

Organizations seeing the fastest AEO results follow systematic implementation rather than scattered optimization efforts.

Phase 1: Foundation (Days 1-30)

The foundation phase establishes baselines, identifies opportunities, and prepares infrastructure for optimization.

Week 1: Audit Current AI Visibility

Begin by understanding your current position across answer engines.

Audit activities:

  • Query ChatGPT, Perplexity, Claude, and Google AI Overviews with 50-100 brand-relevant questions
  • Document when and how your brand appears in responses
  • Record competitor visibility for identical queries
  • Note sentiment and context of all mentions
  • Identify priority queries where you should appear but don't

Document findings: Create a baseline visibility report capturing citation frequency, competitor comparisons, and content gaps. This becomes your measurement benchmark.

Week 2: Technical Infrastructure Assessment

Evaluate technical factors enabling or blocking AI visibility.

Technical audit checklist:

  • Review robots.txt for AI crawler access (GPTBot, ClaudeBot, PerplexityBot)
  • Check page speed and Core Web Vitals scores
  • Assess schema markup implementation across priority pages
  • Verify content renders without JavaScript dependencies
  • Identify pages blocked from AI crawlers unnecessarily

Fix blocking issues immediately: Crawler access problems eliminate visibility regardless of content quality. Address these first.

Week 3: Content Gap Analysis

Analyze existing content against AEO requirements.

Content assessment areas:

  • Do priority pages provide direct, extractable answers?
  • Are question-based headers matching conversational queries present?
  • Does content include standalone statements AI can cite?
  • Are FAQ sections comprehensive and well-structured?
  • Does comparison content address competitive queries?

Prioritize content: Identify 10-20 high-value pages for immediate optimization in Phase 2.

Week 4: Tool Selection and Setup

Establish measurement systems for tracking progress.

Monitoring options:

  • Enterprise: Bluefish, Conductor, Profound
  • Mid-market: Semrush AI Toolkit, SE Visible
  • Budget-friendly: Otterly.AI, Rankscale.ai, manual tracking

Configure tracking:

  • Set up automated citation monitoring for priority queries
  • Establish competitive benchmarking
  • Create reporting templates for weekly reviews
  • Document baseline metrics for comparison

Phase 1 Checkpoint: By day 30, you should have baseline visibility documented, technical issues identified, priority content flagged, and monitoring systems operational.

Phase 2: Implementation (Days 31-60)

Phase 2 deploys optimization across technical infrastructure and content.

Week 5: Technical Optimizations

Execute technical fixes identified in Phase 1.

Technical implementation:

  • Configure robots.txt allowing all relevant AI crawlers
  • Implement comprehensive schema markup (Organization, FAQPage, Article, HowTo)
  • Optimize page speed targeting Core Web Vitals thresholds
  • Fix content accessibility issues preventing AI extraction
  • Deploy structured data across priority pages

Validate implementations: Test schema markup with Google's Rich Results Test. Verify crawler access through server logs.

Week 6: Priority Content Optimization

Restructure priority content for AI extraction.

Content optimization tactics:

  • Add direct answer statements to opening paragraphs
  • Implement question-based headers matching conversational queries
  • Create standalone sentences designed for citation
  • Add FAQ sections with comprehensive question-answer pairs
  • Include comparison tables for competitive queries
  • Ensure content completeness addressing related questions

Optimize 10-15 priority pages this week, focusing on highest-traffic and most commercially important content.

Week 7: Supporting Content Development

Create content addressing visibility gaps identified in Phase 1.

Content development priorities:

  • Develop pages for queries where competitors appear but you don't
  • Create educational content establishing topical authority
  • Build comparison content for competitive evaluation queries
  • Add use case content addressing specific buyer questions
  • Develop FAQ pages consolidating common questions

Quality over quantity: Focus on comprehensive, authoritative content rather than volume.

Week 8: Authority Signal Development

Begin building authority signals AI systems recognize.

Authority building activities:

  • Ensure consistent brand information across all platforms
  • Update business directories and knowledge bases
  • Secure expert contributions to authoritative publications
  • Generate coverage through PR outreach
  • Build presence in communities AI systems reference (Reddit, industry forums)

Start original research: Commission or conduct research generating proprietary data AI systems can't find elsewhere.

Phase 2 Checkpoint: By day 60, technical optimizations should be complete, priority content restructured, new content published, and authority-building underway.

Phase 3: Scale (Days 61-90)

Phase 3 expands successful tactics and optimizes based on data.

Week 9: Performance Analysis

Evaluate Phase 2 impact and identify what's working.

Analysis activities:

  • Compare current visibility against Phase 1 baseline
  • Identify which content optimizations produced results
  • Note platform-specific performance variations
  • Assess competitor visibility changes
  • Calculate improvement trends across priority queries

Document learnings: What optimization tactics produced the strongest results? Which content types earned citations? What competitive gaps remain?

Week 10: Expanded Content Optimization

Apply successful tactics across broader content library.

Scaling activities:

  • Optimize additional 20-30 pages using proven tactics
  • Update existing high-performing content with AEO enhancements
  • Create additional content addressing emerging visibility opportunities
  • Refine unsuccessful content based on learnings
  • Expand FAQ coverage to additional topic areas

Week 11: Advanced Optimization

Implement more sophisticated optimization tactics.

Advanced tactics:

  • Develop content clusters establishing deeper topical authority
  • Create original research generating unique citation opportunities
  • Build strategic partnerships expanding external validation
  • Implement personalized content addressing specific buyer segments
  • Optimize for platform-specific preferences (ChatGPT vs. Perplexity vs. AI Overviews)

Week 12: Establish Ongoing Processes

Create sustainable systems for continued optimization.

Process development:

  • Establish monthly visibility review cadence
  • Create content refresh schedule for maintaining freshness
  • Document optimization playbook based on learnings
  • Assign ongoing ownership for AEO activities
  • Set quarterly KPIs based on baseline improvements

Phase 3 Checkpoint: By day 90, you should see measurable visibility improvements, have proven tactics documented, and sustainable processes established.

90-Day Success Metrics

Track these metrics to evaluate plan effectiveness.

Visibility metrics:

  • Citation frequency improvement vs. baseline
  • Share of voice vs. competitors
  • Platform coverage breadth
  • Query expansion (new queries triggering visibility)

Quality metrics:

  • Citation context and sentiment
  • Primary vs. secondary mention ratio
  • Description accuracy in AI responses

Business metrics:

  • AI referral traffic where trackable
  • Branded search volume correlation
  • Lead quality from AI-discovered visitors

Common Implementation Mistakes

Avoid these pitfalls that derail AEO marketing plans.

Rushing Phase 1: Skipping thorough audits leads to misdirected optimization efforts. Invest time in foundation work.

Neglecting technical basics: Content optimization fails if AI crawlers can't access pages. Prioritize technical fixes.

Expecting immediate results: AI visibility builds over weeks. Maintain consistent effort through the full 90 days.

Optimizing in isolation: AEO succeeds when integrated with SEO and content marketing, not treated separately.

Abandoning measurement: Without tracking, you can't identify what's working. Maintain monitoring throughout implementation.

Beyond 90 Days: Ongoing AEO

The 90-day plan establishes foundations, but AEO requires continuous effort.

Post-implementation priorities:

  • Monthly visibility monitoring and reporting
  • Quarterly content refresh cycles
  • Ongoing authority building through publications and research
  • Continuous competitive intelligence
  • Adaptation to platform algorithm changes

Organizations completing this 90-day plan establish competitive advantages that compound over time as AI search visibility becomes increasingly valuable.

FAQs

Can this plan work for small teams?

Yes. Prioritize Phase 1 audits and Phase 2 technical fixes first, then scale content optimization based on available resources. The framework adapts to team size.

What if we don't see results by day 90?

Evaluate whether foundational elements are complete. Often delayed results trace to incomplete technical implementation or insufficient content optimization. Review Phase 2 execution before expanding efforts.

Should we pause traditional SEO during AEO implementation?

No. AEO complements rather than replaces SEO. Research shows 87% of AI citations come from content ranking in organic positions 1-10. Maintain SEO investment alongside AEO implementation.


Related Articles:

Get started with Stackmatix!

Get Started

Share On:

blog-facebookblog-linkedinblog-twitterblog-instagram

Join thousands of venture-backed founders and marketers getting actionable growth insights from Stackmatix.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

By submitting this form, you agree to our Privacy Policy and Terms & Conditions.

Related Blogs