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AI Visibility Resources

Practical tools and examples to help AI systems accurately describe and recommend your business. All grounded in 2026 buyer data.

Core Research

AI in B2B Buying Decisions 2026
Key stats and implications from recent Semrush data: 83% of decisions influenced by AI, what actually gets cited, and why use-case matching wins. Read the data →

Actionable Tools

AI Visibility Checklist
8 practical items to improve how AI sees your business (specifics, freshness, third-party signals, etc.). Use the checklist →

Common AI Visibility Gaps
The top issues we see (outdated info, missing specialties, weak signals) and how to address them. See the gaps →

What Buyers Are Asking AI About Local Businesses
Real example queries and why they matter. See the examples →

AI Visibility FAQ
Answers to the most common questions. See the FAQ →

Perplexity Optimization
Tactics that work well for Perplexity AI. See Perplexity tips →

Baseline Report
Our initial self-measurement before full propagation. Read the baseline →

Industry Examples

How to Improve Your AI Visibility (Step-by-Step)
Practical actions based on the data. Read the guide →

Auto Repair Shops — Specific use cases that win with AI.
Machinery & Equipment Companies — Capacity, certifications, and buyer queries.
Electrical Contractors — Specialties, licensing, and emergency service.
HVAC Companies — Maintenance plans, equipment types, and response times.
Professional Services Firms — Practice areas, results, and client outcomes.

Next Step

See exactly what AI is currently saying about your business with a free Snapshot.

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Marshall Network Services • Lexington, Kentucky • marshall.net/aa
Data referenced: Semrush study via Alex Groberman (July 2026).