Get Recommended By AI
Your brand shouldn’t be misrepresented or missing in AI-driven discovery. With the right AEO strategy and implementation, it won’t.
Buyers Are Talking to AI Before They Talk to You.
AI is now shaping how brands are understood, compared, and trusted before buyers ever reach your website. If AI cannot interpret your brand clearly, it will not recommend you. ZINC applies a proven AEO framework to ensure your brand shows up accurately and credibly when AI systems guide early buyer decisions.
Give AI the Clarity It Needs.
ZINC’s AEO framework brings together four core components required to earn visibility in AI driven search. Together, these components ensure your brand is understood, trusted, and recommended when buyers turn to AI for guidance.
AEO Strategy & Planning
Define how AI responds to buyer questions.
- Clarify buyer personas and AI search intent
- Map high-impact prompts across the buying journey
- Identify visibility gaps and priority opportunities
Technical Implementation
Make your site interpretable by AI systems.
- Implement structured data and schema for AI interpretation
- Ensure crawlability, indexing, and AI-accessible site architecture
- Resolve technical blockers that prevent visibility
Answer-Led Content
Create content AI can confidently cite and recommend.
- Structure content around clear, authoritative answers
- Align pages to high-intent prompts and buyer questions
- Strengthen topical depth and entity clarity across key pages
Measurement & Refinement
Track visibility and improve over time.
- Monitor visibility and citations with AEO monitoring platform
- Track prompt coverage, gaps, and shifts in AI responses
- Refine content and technical signals based on real AI output
Start with an AEO Sprint.
The AEO Sprint is a focused, time bound engagement designed to establish AI visibility quickly and correctly. It applies ZINC’s AEO framework to your site, content, and signals so your brand is positioned to be recommended by AI.
Baseline AI Visibility Assessment - We evaluate how AI systems currently interpret your brand, including accuracy, coverage, and gaps across key buyer questions.
Priority Question and Page Mapping - We identify the highest value questions your buyers ask AI and map them to the pages, content, and signals AI should reference.
AEO Foundation Implementation - We implement the essential technical, structural, and content updates required for AI systems to confidently understand and reference your site.
Answer Ready Content Activation - We create or refine a small set of high impact pages designed specifically for AI retrieval and recommendation.
Measurement and Next Step Roadmap - We establish tracking, document early signals, and deliver a clear plan for what to expand next based on results.
ZINC didn’t just advise—they built a working AI strategy that transformed how our team operates. Their process gave us clarity, momentum, and a measurable edge
AEO Readiness Checklist
A step-by-step checklist you can use to compare your website, content, and structure against what AI systems look for when recommending brands.
Website structure and page hierarchy
Schema, metadata, and technical essentials.
Core content AI uses to understand your business.
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Insights and Trends
Explore our latest articles on digital marketing strategies.
FAQs
Find answers to your questions about our AI Enablement services and implementation processes.
AEO (Answer Engine Optimization) is the practice of optimizing your website and content so it appears directly in AI-generated answers from platforms like ChatGPT, Perplexity, Claude, and Google’s AI experiences.Rather than competing for links or rankings, AEO focuses on making your content clear, authoritative, and structured so answer engines can confidently cite it when users ask questions in natural language.AEO combines technical foundations (structured data and schema), answer-ready content strategy, and ongoing measurement of visibility and referrals from AI-driven discovery.
SEO optimizes for rankings. AEO optimizes for being the answer.Traditional SEO focuses on keyword-based searches and search engine results pages. AEO focuses on conversational prompts and inclusion within AI-generated responses.
Key differences include:
- Query type: keywords vs. natural-language questions.
- Objective: rankings vs. citations and recommendations
- Content structure: blog-first vs. answer-ready formats
- Technical depth: basic on-page SEO vs. structured data and schema
- Measurement: search rankings vs. AI visibility and referral tracking
AEO and SEO work together. Content optimized for answer engines also performs better as Google continues shifting toward AI-powered search experiences.
Yes. ZINC offers two AEO-focused engagement models:
- 1. AEO Sprint: A focused, short-term engagement designed to establish AEO foundations quickly. The sprint includes strategic prioritization, prompt and topic mapping, technical recommendations, and the creation of initial answer-ready content. It’s ideal for teams that want fast clarity, early visibility, and a concrete roadmap for scaling.
- 2. Ongoing AEO Retainers: A continuous optimization program for companies that want sustained visibility across answer engines. Retainers include ongoing content development, technical refinement, prompt coverage expansion, competitive monitoring, and monthly measurement and optimization. Many clients start with an AEO Sprint and transition into a retainer once early traction and priorities are validated.
Many clients start with an AEO Sprint and transition into a retainer once early traction and priorities are validated.
AEO is critical for B2B organizations whose buyers use AI tools to research solutions before engaging with sales.
This includes:
- B2B SaaS and technology companies
- Professional services and consultancies
- Manufacturing and industrial businesses
- Technical depth: basic on-page SEO vs. structured data and schema
- Fintech, cybersecurity, and regulated industries
AEO is especially valuable for companies with longer sales cycles, competitive markets, and existing investments in content and SEO.
If buyers are asking answer engines for recommendations in your category and you’re not included you’re invisible at the moment of discovery.
We measure AEO performance across three levels:
Answer Engine Visibility
- Presence and frequency in AI-generated answers
- Citation position and context
- Competitive coverage across priority prompts
- Sentiment and framing of mentions
Traffic & Engagement
- Referral traffic from ChatGPT, Perplexity, and Google’s AI experiences
- Conversion rates from answer-engine visitors
- Engagement metrics and assisted attribution
Pipeline Impact
- MQLs and SQLs influenced by AEO visibility
- Opportunity creation and pipeline value
- Revenue attribution tied to AI-assisted discovery
Reporting is delivered monthly and used to continuously refine strategy.
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