AI Visibility & LLM Optimization in Dartmouth

Be named when a procurement team asks an assistant for a Dartmouth supplier shortlist

Procurement teams increasingly use assistants for initial supplier discovery — 'name three commercial electrical contractors in Burnside', 'which industrial coating firms serve Woodside'. The answer names two or three and stops, and if your firm is not one of them, the shortlist is written from names the assistant did name.

Le problème

Your competitors are the ones assistants name in your Dartmouth industrial or B2B category, and your buyers are asking assistants before they ask their team.

Notre solution

We build the structured data, entity clarity, and citation footprint required to be named in AI answers — audited per assistant, monitored monthly as answers change.

Ce que vous obtenez

✓Baseline audit across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews

✓llms.txt and llms-full.txt deployment

✓Full structured data for Organization, Service and jurisdiction

✓Citable content on your capabilities and past projects

✓Presence on the reference sources assistants draw from

✓Competitor visibility benchmarking

✓Monthly per-assistant monitoring and reporting

2-3

firms named in a typical assistant answer

wks

for schema improvements to shift assistant answers

Zones desservies

AI visibility work applies across every Dartmouth commercial category and reaches into every out-of-market buyer running an assistant search.

Tarifs

LLM setup: $600 CAD one-time. Monthly AI visibility monitoring: $450/month.

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