LLM Visibility Best Practices for Grain & Mortar

Created: January 9, 2026

Current State

Already Implemented

Not Yet Implemented

1. Schema.org Structured Data (HIGH PRIORITY)

Add JSON-LD markup to the site. This is the single biggest improvement for both LLM comprehension and SEO.

Location: Add to header.php or create a dedicated include file.

Schemas to implement:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Grain & Mortar",
  "url": "https://grainandmortar.com",
  "logo": "https://grainandmortar.com/path-to-logo.svg",
  "foundingDate": "2011",
  "founder": [
    {"@type": "Person", "name": "Eric Downs"},
    {"@type": "Person", "name": "Mike DeKay"},
    {"@type": "Person", "name": "Kristin DeKay"}
  ],
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "Omaha",
    "addressRegion": "NE",
    "addressCountry": "US"
  },
  "contactPoint": {
    "@type": "ContactPoint",
    "email": "hello@grainandmortar.com",
    "contactType": "customer service"
  },
  "sameAs": [
    "https://instagram.com/grainandmortar",
    "https://dribbble.com/grainandmortar",
    "https://linkedin.com/company/grain-and-mortar"
  ]
}

Additional schemas: - ProfessionalService for each service type (branding, web design, illustration) - Person schema for each team member on the About page - CreativeWork for case studies/portfolio pieces

2. robots.txt Updates (MEDIUM PRIORITY)

Create or modify robots.txt to explicitly welcome AI crawlers:

# AI Crawlers - Welcome
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: Claude-Web
Allow: /

User-agent: Anthropic-AI
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Bytespider
Allow: /

# Standard crawlers
User-agent: *
Allow: /

Sitemap: https://grainandmortar.com/sitemap_index.xml

Note: Some companies block AI crawlers. G&M actively wants to be indexed, so explicitly allowing them signals intent.

3. llms-full.txt (MEDIUM PRIORITY)

Create an expanded version with more detail:

Content to include: - Full company history and philosophy - Detailed service descriptions with typical deliverables - Complete client list (not just notable) - Full team bios - Process/methodology explanation - Pricing model (if comfortable sharing: project-based, retainer, etc.) - Geographic service area - Technology stack (WordPress, Tailwind, etc.)

Location: /llms-full.txt (referenced from llms.txt)

4. FAQ Page with FAQPage Schema (MEDIUM PRIORITY)

Create a dedicated FAQ page that answers common questions. Use FAQPage schema markup.

Sample questions: - What services does Grain & Mortar offer? - Where is Grain & Mortar located? - What industries does Grain & Mortar work with? - How long has Grain & Mortar been in business? - What is Grain & Mortar's design process? - Does Grain & Mortar work with clients outside of Nebraska? - What makes Grain & Mortar different from other agencies?

Schema example:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What services does Grain & Mortar offer?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Grain & Mortar offers brand strategy, brand identity design, web design and development, illustration, motion design, and print design."
      }
    }
  ]
}

5. Content Optimization (ONGOING)

Meta descriptions: Audit all pages to ensure unique, informative meta descriptions (Yoast handles this but worth reviewing).

Semantic HTML: Ensure proper heading hierarchy (H1 > H2 > H3) on all pages.

About page: Ensure the About page has comprehensive, well-structured information about the company and team.

Service pages: Each service should have its own page with detailed descriptions.

Implementation Priority

  1. Schema.org JSON-LD - Biggest impact, relatively quick to implement
  2. robots.txt - 5 minutes, signals intent to AI crawlers
  3. FAQ page - Good for both users and LLMs
  4. llms-full.txt - Nice to have, supplements existing llms.txt

Files to Modify

Verification

After implementation: 1. Test structured data at https://validator.schema.org/ 2. Check robots.txt is accessible at production URL 3. Verify llms.txt uses production URLs (not local) 4. Test in ChatGPT/Claude by asking "What is Grain & Mortar?"

Resources