LLMS SEO 101
Think of AI like this:
- Robots.txt = permission
- Sitemap = inventory
- Internal links = meaning
- LLMS.TXT = like an AI-friendly table of contents, not a crawler control file
LLMS.TXT
🧠 What This File Is
Contrary to robots.txt, which tells crawlers what they can or cannot crawl, llms.txt is meant to be:
✅ A structured, Markdown-style sitemap for AI systems
✅ A curated list of important pages and resources
✅ A file that helps AI language models understand your site content better in context
It’s more like an AI-friendly table of contents, not a crawler control file.
Internal Linking
Internal linking went from “nice SEO hygiene” to core AI-visibility infrastructure.
🧠 Why Internal Linking Matters MORE for AI than Old-School SEO
- Internal links = crawl paths + PageRank flow
AI search & LLMs (semantic cluster):
- Internal links = semantic map of the business
- They tell the model:
- What the company does
- What’s important
- How concepts relate to each other
🤖 How AI Actually Uses Internal Links
When AI systems ingest a site (directly or via search indexes), they look for:
1️⃣ Content Hierarchy
Internal links show:
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Primary services
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Supporting services
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Sub-topics
├── Custom Trade Show Exhibits
│ ├── Large Island Booths
│ ├── Double Deck Exhibits
│ └── Rental vs Purchase
├── Project Management
└── Install & Dismantle
This tells AI:
“This company specializes in custom exhibits, and these are core sub-offerings.”
2️⃣ Concept Reinforcement (Entity Strength)
When multiple pages link to the same page using similar anchor text, AI learns:
“This phrase = this service”
Example:
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“custom trade show exhibits”
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“custom trade show booth design”
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“bespoke trade show exhibits”
All Linking to:
🔥
This page becomes the entity authority for that concept.
3️⃣ Contextual Meaning (THIS is Huge)
AI cares where the link appears.
Weak <a href="/services/"> Click here </a>
StrongWe design and fabricate < a href="/custom-trade-show-exhibits/" >custom trade show exhibits < /a > for national brands.
AI understands:
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Service type
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Action
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Industry context
This is LLM food, not just SEO.
🔗 Internal Linking Patterns AI LOVES
✅ Hub → Spoke Model (Perfect for Your Clients)
You already use this instinctively — now we weaponize it.
Hub Page:
Services or Custom Trade Show Exhibits
Spokes:
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Design
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Fabrication
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Project Management
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Install & Dismantle
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Storage
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Logistics
Each spoke:
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Links back to hub
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Links to at least 1–2 sibling services
This forms a semantic cluster.
✅ FAQ → Service Links (Gold for AI Answers)
FAQ pages are AI candy.
Example:
Q: Do you offer install and dismantle services?
A: Yes, our <a href=”/install-and-dismantle/”>install and dismantle team</a> handles…
AI now:
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Knows the answer
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Knows which page to cite
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Knows this is a first-party capability
✅ Blog → Service (Authority Transfer)
Every blog should answer:
“Which service does this support?”
Example:
Blog:
“How to Budget for a Large Trade Show Booth”
Links to:
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Custom Exhibits
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Rental vs Purchase
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Project Management
Now AI sees:
“These services solve this problem.”
🚫 Internal Linking Mistakes That Hurt AI Visibility
❌ Orphan Pages
Pages with no internal links pointing to them may as well not exist to AI.
❌ Overusing Generic Anchors
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“Click here”
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“Learn more”
AI learns nothing from these.
❌ Footer-Only Links
Footer links help crawlability, but body links carry meaning.
🧩 Internal Links vs Schema (How They Work Together)
Schema tells AI:
“This page is a Service.”
Internal links tell AI:
“This Service relates to these problems and these solutions.”
When both align:
🔥 You get AI-ready entity clarity.
🛠 Practical Internal Linking Rules You Can Apply Today
Every Important Page Should Have:
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3–10 contextual internal links
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At least:
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1 from homepage or services hub
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1 from blog or FAQ
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1 from a sibling service page
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Anchor Text Rule:
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Use natural variations
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Keep it human
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Stay on-topic
🔮 The Big Shift (Why You’re Early)
Google used links to rank pages.
AI uses links to understand reality.
If a business:
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Has clear internal structure
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Reinforces service concepts
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Answers real questions
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Links those answers properly
➡️ AI will trust, summarize, and recommend it.