Hyphen Strategies, LLC
Digital Visibility for EDOs

What does AI say when a site selector asks about your community?

Site selectors are using AI tools to build long lists before they ever issue an RFI. If your sites, incentives, and workforce data aren’t readable by those tools, you may never get the call.

We test what AI says about your community, compare it to your competitors, and tell you exactly what to fix.

The Problem

The shortlist is being built before you know you’re in the running

Early-stage corporate location searches increasingly involve AI-assisted screening — a site selector or their research team asking an AI tool: “Which markets in the Midwest have available industrial sites above 100 acres with 138kV transmission access?”

The communities that appear in that answer are the ones that make the long list. Communities that don’t appear don’t get considered — even if they have exactly what the project needs.

Your website, your site database, your incentive documentation, and your third-party data presence all feed into what AI can say about you. Most of it wasn’t designed for machine consumption.

AI query simulation
Q:Which Midwest communities have sites 50+ acres with 138kV within 1 mile?
AI:Based on available data, communities with documented large-site inventory and confirmed transmission access include...
Q:What incentives does [your community] offer for manufacturing projects?
AI:Limited structured data available for that community. Competitor communities have published detailed incentive frameworks including...
Engagements

Four modular engagements. Start where you are.

Each engagement stands alone. Begin with the audit to understand your current position, then continue as far as makes sense for your organization.

1

Competitive AI Response Audit

Find out what AI says about your community — and your competitors.

  • Live testing across ChatGPT, Perplexity, Google AI Overviews, and Copilot
  • Structured comparison: your community vs. three to five direct competitors
  • Site inventory, incentives, and workforce data visibility scoring
  • Identification of factual errors, outdated information, and gaps in AI output
  • Root-cause analysis: what's missing from your web presence that AI can't read
Deliverable — A plain-language report you can hand to staff or present to your board without translation.
2

Content Format & Data Inventory

What you have. What format it's in. What AI can actually use.

  • Audit of your current site data: certified sites, shovel-ready inventory, utility availability
  • Incentive documentation review — what's published, what's machine-readable, what's buried in PDFs
  • Workforce and labor market data format assessment
  • Community profile content audit: headlines, structured data, schema markup presence
  • Gap list, prioritized by what site selectors query most
3

Machine-Readable Presence Strategy

A roadmap your comms team can execute — or use to brief a vendor.

  • Content format recommendations by data type (sites, incentives, workforce, utilities)
  • Schema markup and structured data specification
  • Website architecture recommendations for AI crawlability
  • Editorial calendar: what to publish, in what format, in what order
  • Vendor specification if technical implementation requires outside help
Deliverable — Written to be actionable by a staff member or handed to a web vendor as a spec.
4

Ongoing Visibility Monitoring

Track whether it's working. Catch new gaps before they calcify.

  • Quarterly AI response re-testing across the same query set
  • Competitor visibility benchmarking
  • New platform coverage as AI tools evolve
  • Content refresh recommendations based on query drift
Independent advisoryNo SEO product to upsellNo vendor partnershipsNo referral fees
Questions

Common questions

How do site selectors actually use AI in location searches?

Early-stage screening increasingly relies on AI tools to build long lists before RFPs are issued. If your community can't be accurately described by those tools — sites, power capacity, incentive programs, labor availability — you may never receive the RFI in the first place.

Does AI pull from our website?

Partially. AI tools aggregate from your website, third-party databases, news coverage, and other sources. Your website matters, but it's one input. This audit tells you where the gaps are across all of them.

We have a good website. Do we need this?

A well-designed website and a machine-readable website are different things. Most community websites are built for human readers. AI tools consume data differently — structured, factual, and consistent. The audit finds the gap between the two.

What if we find errors in AI outputs about our community?

Correction is possible for some platforms and impossible for others. We tell you which is which, and where editorial strategy on your end is the faster fix.

How long does this take?

The Competitive AI Response Audit delivers in three to four weeks. The full strategy through engagement three is typically completed in eight to ten weeks.

Can we start with just the audit?

Yes. Every engagement stands alone. The audit is the logical first step — it tells you where you are. You can stop there, hand it to staff to act on, or continue with us.

Find out what AI says about your community

We’ll run a free initial visibility check on your community before you commit to anything.

The Competitive AI Response Audit is the fastest way to know where you stand.

Book an Intro Call

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