Technical AEO for cannabis

HTTPS Security: All cannabis business websites must use HTTPS. This is non-negotiable for SEO and AEO alike. Unsecured sites are penalized heavily in both domains. Implement SSL/TLS certificates and redirect all HTTP traffic to HTTPS.

Mobile Responsiveness: Your website must function perfectly on mobile devices. Test on iPhone, Android, tablets, and desktop. AI systems evaluate mobile experience as quality signal. Websites that work poorly on mobile get lower evaluation scores.

Core Web Vitals: Google's Core Web Vitals metrics (Largest Contentful Paint, First Input Delay, Cumulative Layout Shift) influence Gemini visibility. A website with excellent Core Web Vitals (LCP under 2.5 seconds, FID under 100ms, CLS under 0.1) gets referenced in Gemini answers more frequently than slower sites. Use Google's PageSpeed Insights tool to measure and improve Core Web Vitals.

Site Architecture: Organize your website logically with clear hierarchy. Main categories (home, products, blog, about), subcategories, and individual pages should follow logical structure. This helps AI systems understand your content organization.

XML Sitemaps: Implement XML sitemaps for your website and submit to Google Search Console. This helps Google (and through it, Gemini) discover and index your content.

Robots.txt: Use robots.txt to guide crawlers away from duplicate content, authentication pages, and non-public content. Proper robots.txt prevents AI systems from indexing unhelpful pages.

Proper schema markup is a critical technical AEO requirement. (See detailed guide: AEO Schema Markup for Cannabis)

LocalBusiness schema: For dispensaries, implement LocalBusiness schema with complete business information. Product schema: For strains and products, implement Product schema with descriptions, images, and pricing. Organization schema: For brands, implement Organization schema with company information. Review schema: Implement review and rating schema for business credibility.

Use JSON-LD format for schema implementation. Validate schema using Google's Rich Results Test before deploying to production.

Page speed influences both traditional SEO and AEO performance. Slow websites underperform in both systems.

Optimization tactics:

1. 1Image Optimization: Compress images without quality loss. Use modern formats (WebP) where possible. Implement lazy loading for images below the fold.

1. 1Caching: Implement browser caching to store static assets locally. Set appropriate cache headers for content that changes infrequently.

1. 1Content Delivery Network (CDN): Use CDN to serve content from locations geographically close to users. This reduces latency and improves load times globally.

1. 1Minification: Minify CSS, JavaScript, and HTML to reduce file sizes. Remove unnecessary characters without affecting functionality.

1. 1Code Splitting: Break JavaScript bundles into smaller chunks. Load only necessary code for each page rather than loading entire application upfront.

1. 1Database Optimization: If your website queries databases, optimize queries to reduce latency. Use indexes for frequently queried fields.

Target metrics: LCP under 2.5 seconds, FID under 100ms, CLS under 0.1, overall load time under 3 seconds on 4G connection.

If your cannabis content is behind authentication or paywalls, AI systems may not be able to access it. For AEO purposes, ensure critical content (strain guides, product information, educational content) is publicly accessible without authentication.

Content restrictions for sensitive information (customer accounts, personal data) are appropriate, but public content should be public.

If your cannabis business serves multiple countries or languages, implement proper hreflang tags to specify which version of content applies to which region/language. This prevents AI systems from mixing versions.

Most cannabis businesses operate in single jurisdiction, so this may not apply.

Age Verification: If your website requires age verification, implement it in way that allows content to be indexed. Avoid blocking all AI crawlers from accessing content.

Restricted Content: Cannabis content is subject to regulations in various jurisdictions. Implement proper geo-blocking if necessary, but ensure you're not unnecessarily restricting AI access to content that should be publicly accessible.

Product Information: Ensure product information (cannabinoid profiles, lab testing data) is properly structured and accessible to AI systems. Don't lock critical product information behind forms or authentication.

Track these technical metrics monthly:

Core Web Vitals (LCP, FID, CLS) Overall page load time Mobile vs. desktop performance SSL certificate validity Crawl errors (from Google Search Console) Rich result status (from Google Search Console) Broken internal links 404 error rates

Improving these metrics directly improves AEO visibility.

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Gemini and Perplexity prioritize mobile versions of websites over desktop versions when evaluating content. This means cannabis websites with incomplete mobile versions are significantly disadvantaged. If your website's mobile version omits content (product descriptions, business information, important details), AI systems will see the incomplete version. Testing your website's mobile version is critical AEO practice. Verify that all critical content (strain descriptions, dispensary hours, regulatory information, product details) is fully visible and functional on mobile devices. Websites with equivalent desktop and mobile content will outrank those where mobile version lacks critical information.

Schema markup helps AI systems understand content with precision that plain text cannot provide. A page with proper LocalBusiness schema tells every AI system definitively that the page represents a business at a specific location with specific hours and contact information. Without schema, AI systems must infer this information from page content, which introduces error probability. For cannabis businesses, this markup distinction is particularly important because regulatory and location information must be understood accurately. Cannabis websites implementing complete schema markup will be understood more accurately by AI systems, while competitors without schema will experience inference errors that reduce visibility.

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