Vibe Coding for AEO

AI is no longer just writing copy or blog posts—it’s starting to ship code and shape how technical SEO and site performance are handled. For marketers and SEO teams, this is where a new workflow comes in: vibe coding—the practice of guiding AI to write and refine code from natural language prompts.

At Aeo.vc, we see vibe coding as a bridge between non-technical marketers and deeply technical implementation. If you can describe what you want clearly, you can now influence your site's code, schema, and structure—without becoming a full-time developer.

What Is Vibe Coding?

Vibe coding is the emerging practice of using AI to generate functional code directly from natural language instructions. Instead of opening a code editor and manually writing HTML, CSS, JavaScript, or config files, you run a conversational loop with AI that looks like this:

1. Describe what you want.
2. Let the AI write the code.
3. Run it and observe what happens.
4. Refine your prompt based on the results and repeat.

The term “vibe coding” was popularized in early 2025 by AI researcher and OpenAI founding team member Andrej Karpathy. His philosophy is to “fully give in to the vibes, embrace exponentials, and almost forget the code exists.” The focus isn’t on hand-crafting every line—it’s on iterating quickly until the output works.

For marketers and SEO professionals, this is powerful: you don’t have to be a developer to change how your site loads, how structured data is implemented, or how clearly your content is presented to search engines and answer engines.

Is “Vibe Coder” a Real Job? (And Why Marketers Should Care)

You probably won’t see “Vibe Coder” as a formal job title on LinkedIn (yet), but the skill behind it is already valuable: the ability to direct, critique, and refine AI-generated code and technical configurations through precise prompting.

This lives at the intersection of:

• Prompt engineering – structuring inputs to get reliable, high-quality outputs from AI.
• Technical SEO & AEO – shaping how websites are crawled, rendered, understood, and cited by search engines and LLMs.

For marketers and SEO teams, mastering vibe coding means you can:

• Generate clean, SEO-friendly code for site structure, schema markup, and performance tweaks.
• Automate repetitive technical tasks like schema updates, redirect logic, robots.txt rules, or lazy loading images.
• Align AI-generated changes with brand and compliance standards instead of shipping “black box” code.

In other words: you become the AI Director of your technical implementation, even if you’re not the one manually writing the code.

How to Vibe Code for SEO

Instead of waiting for dev cycles for every small technical fix, you can increasingly leverage AI for code generation and modification. Here’s how vibe coding maps directly to core technical SEO workflows.

1. Optimizing Core Web Vitals With AI-Generated Code

Improving Core Web Vitals (LCP, CLS, INP) usually requires direct code changes. With vibe coding, you can ask AI to:

• Inspect performance bottlenecks on specific pages.
• Suggest concrete HTML, CSS, and JavaScript changes.
• Propose server-side optimizations and caching rules.

Example prompts

• “Analyze the loading behavior of [URL] and suggest specific HTML/CSS/JS code changes to improve Largest Contentful Paint (LCP) and reduce Cumulative Layout Shift (CLS).”
• “Provide `.htaccess` directives to enable browser caching for static assets like images, CSS, and JS.”
• “Generate JavaScript code to lazy-load all images on [URL] and ensure it doesn’t interfere with existing scripts.”

2. Automating Structured Data Creation & Refinement

Structured data is now central to rich results, AI Overviews, and LLM understanding. It’s also one of the best playgrounds for vibe coding. You can use AI to:

• Generate JSON-LD markup for entities like Product, Article, FAQ, LocalBusiness, and more.
• Iterate until Google’s Rich Results Test or schema validators return clean output.
• Fix missing fields, incorrect nesting, and type mismatches via prompt feedback.

Example prompts

• “Generate JSON-LD Product schema for [URL] with fields for name, price, currency, availability, brand, and review rating.”
• “The schema for [URL] is missing `aggregateRating`. Add valid JSON-LD that includes `ratingValue` and `reviewCount`.”
• “Update the Article schema on [URL] to include `dateModified`, `author`, and `headline` properties.”

3. Streamlining Crawling & Indexing Management

Vibe coding is perfect for the kinds of small but important code/config changes that affect crawling and indexing. You can prompt AI to:

• Suggest or generate robots.txt rules.
• Propose canonical tag implementations in templates.
• Read and interpret Search Console crawl errors and recommend fixes.

Example prompts

• “Suggest a `robots.txt` configuration that disallows crawling of [path] and blocks [user agents] from [specific directories].”
• “Given this error from Google Search Console: [error message] about a redirect loop on [URL], provide the Nginx or Apache config needed to fix it.”
• “Generate HTML for a <meta name="robots" content="noindex,follow" /> tag for pages under `https://www.example.com/legacy/`.”

4. Enhancing Mobile Optimization & Accessibility

Mobile-first indexing and accessibility both impact technical SEO. AI can help you refactor layout and markup for better usability and compliance.

• Rewrite CSS for responsive layouts and common breakpoints.
• Add semantic HTML and ARIA attributes to improve accessibility.

Example prompts

• “Refactor the CSS for [element or section] to make it responsive across common mobile breakpoints, including small, medium, and large phones.”
• “Suggest ARIA roles and labels for these interactive elements: [list] to improve accessibility on [URL].”
• “Propose a semantic HTML5 structure using <header>, <nav>, <main>, <section>, <footer> for the layout on [URL].”

5. Semantic SEO & Entity Recognition

Semantic SEO is all about making relationships between entities clear—both in content and in code. Vibe coding lets you embed that understanding more deeply into your markup and structure.

• Add or refine entity-focused Schema.org markup that reflects real people, places, products, and concepts.
• Better connect related entities via schema relationships and HTML attributes.
• Support topical authority with code that mirrors concept clustering in your content strategy.

Example prompts

• “Generate Schema.org `AboutPage` or `mentions` markup for [entity] based on the content at [URL].”
• “Suggest HTML and Schema improvements to better connect [entity A] and [entity B] on this page: [URL].”
• “Provide `itemprop` attributes for [specific data point] in the existing HTML on [URL] to help search engines recognize it as [type].”

How to Vibe Code for AEO (Answer Engine Optimization)

SEO focuses on ranking pages. AEO focuses on being the answer—inside LLMs, AI Overviews, and voice assistants. Vibe coding for AEO means structuring your website so that AI systems can easily:

• Parse your content.
• Extract direct answers.
• Trust your site as a canonical source.

1. Optimizing for LLMs & AI Overviews

Answer engines love content that’s well-structured, clear, and embedded in machine-readable formats. With vibe coding, you can:

• Generate HTML structures optimized for lists, tables, and definitions.
• Identify pages where better structure would turn content into stronger answer candidates.

Example prompts

• “Generate HTML for a concise <ol> list summarizing the top 5 benefits of [product/service] suitable for inclusion in an LLM-generated answer.”
• “Analyze [URL] and suggest additional questions we should explicitly answer on the page using headings, lists, or Schema to target AI Overviews.”
• “Provide <dl> HTML that defines these terms for a glossary section: [Term 1, Term 2, Term 3].”

2. Voice Search Optimization

Voice queries are conversational and demand short, direct responses. With vibe coding, you can:

• Shape content into one-sentence, spoken-friendly answers.
• Use FAQ structures and schema that align with typical voice assistant output.

Example prompts

• “Generate a single, concise HTML <p> answer to ‘What is [topic]?’ that a voice assistant could read aloud.”
• “Provide FAQPage Schema for these voice-style questions about [product]: [list of questions].”
• “Update the HTML on [URL] so price and availability are clearly marked up and easy for voice assistants to parse.”

3. Optimizing for Multimodal AI Search & Accessibility

Modern AI search doesn’t just read text—it “looks” at layout, media, and UX. Vibe coding helps align your code with that reality.

• Generate alt text and VideoObject schema for images and videos.
• Add ARIA roles and logical heading structures to improve accessibility.
• Clean up layout so it’s visually and semantically coherent to AI systems.

Example prompts

• “Generate descriptive alt text for this product image: [description], including relevant keywords but keeping it natural.”
• “Provide `VideoObject` JSON-LD for the tutorial video at [URL], including name, description, uploadDate, thumbnailUrl, and duration.”
• “Suggest ARIA labels and semantic HTML updates for the navigation menu on [URL] to improve accessibility and machine understanding.”

4. International AEO & Multilingual Optimization

AI search is global. Vibe coding makes it easier to support multiple languages and regions at the code level. You can use AI to:

• Generate accurate hreflang tags for language/region variants.
• Create LocalBusiness schema tuned to specific markets and locations.
• Translate meta tags and structured data fields while preserving structure.

Example prompts

• “Generate hreflang tags for [URL] with versions in en-US, es-ES, and fr-FR.”
• “Provide LocalBusiness Schema for [Business Name] at [Address], including phone number, opening hours, and geo coordinates.”
• “Translate the product description field inside this JSON-LD Product schema into German while keeping the structure intact.”

Best Practices for Vibe Coding in Technical SEO & AEO

You don’t need to be a developer to do this well—but you do need to be a good director of AI. These principles help ensure the code you ship is accurate, safe, and effective.

1. Be Clear & Specific in Your Prompts

Ambiguous prompts lead to messy code. When you request code from AI:

• Be explicit about your goal: performance, schema, layout, redirects, etc.
• Specify the format: “Return JSON-LD only”, “Give me pure CSS”, “Nginx config lines”, “HTML snippet”, and so on.
• Define scope: global site behavior vs. one template vs. one component.

2. Treat It as an Iterative Loop

First drafts from AI are rarely perfect. That’s expected in vibe coding. Don’t copy-paste straight to production:

• Test changes in staging or with visual previews.
• Give targeted feedback: what worked, what broke, what needs adjustment.
• The tighter your feedback, the better the next output.

3. Manage Context Carefully

AI works best when it has the right amount of context—not too little, not too much.

• Provide the relevant code snippet (not the entire codebase or site).
• Include exact error messages or warnings if you’re debugging.
• Describe the desired behavior clearly: what you want to see or measure.
• Avoid huge, unfocused prompts that mix multiple issues together.

4. Keep Human Oversight Non-Negotiable

AI is a powerful assistant—not an autonomous dev team. Your oversight stays critical:

• Review everything: logic, security, performance, SEO impact, and brand compliance.
• Validate using tools like Lighthouse, Search Console, schema validators, and accessibility checkers.
• Make sure changes align with legal and security requirements in your organization.

5. Watch for Inefficiencies, Security Issues & Bias

AI-generated code can be verbose, inefficient, or insecure if you don’t prompt and review it carefully. It can also carry subtle biases.

• Refine prompts to encourage simpler, more maintainable solutions.
• Double-check anything that touches authentication, redirects, cookies, or user data.
• Treat AI suggestions as proposals, not truth—your review catches what the model can’t see in your real environment.

Conclusion: Vibe Coding as a Core Skill for the AEO Era

Vibe coding isn’t just a developer trend—it’s becoming a foundational skill for modern marketers, SEO specialists, and growth teams. By learning how to guide AI to generate and refine code, you can:

• Improve Core Web Vitals and overall performance.
• Ship better schema and semantic structures.
• Make your site more machine-readable for LLMs, AI Overviews, and voice search.

You don’t have to write every line yourself. You just need to know how to describe what you want, critique what the AI gives you, and iterate. If you’re serious about Answer Engine Optimization, now is the time to start vibe coding your technical SEO and AEO stack—and treating AI not as a gimmick, but as a core collaborator in how your site shows up in the next generation of search.