When someone asks AI who to hire, can it verify your business?
Dugan AI is a Pittsburgh-area fixed-scope consultant for AI visibility audits covering ChatGPT, Claude, Gemini, Grok, Perplexity, Google AI Overviews, and Maps-style answers. Work starts with the free AI Visibility Snapshot and the $350 Readiness Audit. Ownership, running costs and support are agreed in your proposal.
Dugan AI is a Pittsburgh-area fixed-scope consultant for AI search visibility. If that information is missing, inconsistent, or hard for machines to parse, the model has no reliable basis to name you. Dugan AI helps Pittsburgh-area businesses measure those signals, prioritize the gaps, and build the agreed foundation.
No guaranteed rankings, citations, or recommendations.
Answer engines do not “rank a page” the way a classic blue-link list does. They retrieve entities they can resolve with confidence. For a Pittsburgh-area service business, that usually starts with four public-signal groups:
A complete, accurate Google Business Profile - categories, services, hours, service area, and description that match how the business actually operates.
Consistent name and phone details across the site and the public listings a model can cross-check.
A practical review presence the business can maintain, plus a plan for requesting and responding to reviews.
Structured data and clear page structure so search systems can parse the organization, location, and services without guessing.
That framing follows Google’s own generative-AI search guidance: strengthen the local business profile, keep technical structure crawlable and indexable, and publish information people can use. It is not a promise that any model will cite the business.
Start with the level that matches what you know today. The Snapshot is an initial view. The Audit is a scored diagnosis. The Foundation implements the agreed priority layer. The Tune-Up refreshes existing signals after a significant change.
Diagnostic
Free AI Visibility Snapshot
$0
A limited Dugan AI review of what leading AI tools can verify about your business for representative buyer-intent questions. Delivered within 2 business days.
Value: You leave with a plain-English first look - not a guess and not a multi-week audit.
A good starting point when:
You do not know how your business appears when a buyer asks an AI tool for help in your market.
You want an initial view before paying for a deeper review.
You can provide the business, audience, geography, and service information needed for a representative check.
What it is: A limited Snapshot based on representative questions.
What it is not: A comprehensive audit, ranking report, implementation plan, or guarantee of future visibility.
A focused build of the foundational signals: Google Business Profile, review strategy, name and phone consistency, and structured data. Larger scope is quoted as a fixed-price build.
Value: You leave with the agreed foundation implemented and documented, not a list of recommendations sitting in email.
Best for: A business ready to correct and strengthen the agreed foundational layer rather than stop with a diagnosis.
Why these four elements:
Google’s guidance for generative AI features on Search still starts with foundational SEO and accurate local-business details. The Foundation stays inside that layer.
Google Business Profile foundations. Complete and align the profile fields search and AI systems already use for local entities: identity, categories, services, hours, and service area.
Name and phone consistency. Reduce conflicting public details that make a business harder to resolve as one entity.
Practical review strategy. Define how the business requests and responds to reviews in a way it can actually maintain. This is not purchased reviews and not a rating guarantee.
Structured data. Add machine-readable organization and service information on agreed pages so crawlers do not have to infer the basics from unstructured text. Structured data supports overall SEO. It is not a special AI ranking hack.
The engagement focuses on:
Google Business Profile foundations.
A practical review strategy.
Consistent business name and phone information.
Structured data that helps machines understand the business.
A closing summary and ownership handoff.
The exact implementation scope must be agreed before work begins. The Foundation does not guarantee inclusion, placement, ranking, citations, leads, or revenue. It does not include ongoing posting, review generation as a managed service, or a monthly visibility retainer.
A refresh of visibility signals after a name change, a location change, a service-area change, or a significant content update. For existing clients. Never recurring.
Value: You correct drift after a real business change without signing a maintenance plan.
Best for: A prior or established visibility foundation that needs to be checked and refreshed after a material change.
This is not an automatic maintenance plan or subscription. Scope and price are confirmed before work begins.
An Audit fee is not credited toward implementation. Nothing here guarantees inclusion, citation, ranking, or recommendation by any AI model or search engine.
How AI visibility applies to your market
See how AI visibility shows up for specific Pittsburgh-area audiences.
Review what AI tools and public sources can find and verify within the agreed scope. Separate foundational gaps from optional work.
2Step 2: Build
For implementation engagements, complete the agreed priority layer in the appropriate accounts, pages, or technical assets.
3Step 3: Validate
Review the completed work against the agreed scope and fix what falls short.
4Step 4: Hand off
Document the result and transfer ownership.
The work is collaborative, but it is not left as a stack of recommendations. The engagement is designed to leave you with documented decisions and usable operating assets.
How the Foundation actually runs
The Foundation is not a stack of recommendations sitting in email.
I diagnose the public signals first. Then I write the priority layer so the client’s existing vendor can implement it without guessing at scope. I check the live result against that layer. Then ownership goes back to the client.
Diagnose. Build. Validate. Hand off.
Highlights from two active engagements are summarized below.
Foundation · Real estate
South Hills residential real estate team
A producing residential team already had a marketing vendor on the live site. Dugan AI does not take over that site. I diagnose what answer engines can actually verify, then write a vendor-ready specification the existing team can deploy.
How I worked
Diagnose: crawler access, structured data, and identity conflicts across the website, Google Business Profile, listing portals, the brokerage profile, and LinkedIn. One missing credential signal was blocking a clean luxury-entity read.
Build: a site-schema and crawler spec for the vendor; an entity-consistency kit (one name, phone, and identity across every public profile); editorial briefs in the agent’s voice for the questions buyers actually ask AI tools; a dated, repeatable local market-report template the team can refresh each quarter.
Validate: the vendor deploys; I check the live pages and Rich Results. Market figures have to be first-party. Third-party portal stand-ins are labeled and replaced before publish.
Hand off: the client keeps the vendor relationship and names who owns the quarterly refresh. Dugan AI does not stay on the site.
What this reinforces: I work through the people already on the account. I do not replace the agency. I do not log in and “just fix the site.”
Foundation · Local clinic
South Hills multi-provider health clinic
A clinic that had changed locations. Public listings still mixed the old city, the old address, and duplicate provider records. The website lives on a healthcare platform, so implementation goes through that vendor, not through a Dugan AI login.
How I worked
Diagnose: a scored baseline of what ChatGPT, Gemini, Grok, and Perplexity could verify. Entity consistency was the ceiling. Until name, address, phone, and credentials matched, new content would not land.
Build: one canonical identity record and a directory-correction kit; Google Business Profile rebuilt for the current location; a schema and robots.txt spec the platform vendor can apply; service-page drafts held until schema is live and the clinicians have approved the copy; a practical in-office review request and response routine the staff can run.
Validate: source-pull the homepage schema until address, phone, hours, and providers actually appear. Clinical copy is not published until both doctors sign off. No patient information is used.
Hand off: remaining profile photos, review process, and posting cadence stay with the clinic team. The last Foundation artifact is a locked baseline of the same buyer questions, so later Tune-Ups have a starting line.
What this reinforces: identity first, then structure, then content. I spec for the platform of record. The client owns approvals, and they own the result.
AI visibility is whether ChatGPT, Gemini, Perplexity, Google AI Overviews, and similar tools can find and verify your business when someone asks a buying question in your market. It depends on public signals those systems can retrieve - not on a private prompt you type once.
The free Snapshot is a limited initial review using representative buyer-intent questions, delivered within 2 business days. The $350 Audit is a deeper scored review delivered with a prioritized fix list.
The Audit diagnoses and prioritizes. The Foundation implements the agreed foundational visibility layer: Google Business Profile, review strategy, name and phone consistency, and structured data.
No. Dugan AI can improve the clarity, consistency, and machine-readability of the agreed public signals. Third-party platforms control their own sources, models, and answers. The Foundation does not guarantee inclusion, placement, ranking, citations, leads, or revenue.
Those labels get used for the same visitor problem: can an answer engine verify the business? The work itself is the foundational layer - profile, consistency, reviews, and structured data - not citation hacks, AI-only text files, or content written for machines instead of people.
No. The Tune-Up is available after a significant change. It is client initiated and never recurring automatically.
Not sure where to begin?
Start with the free Snapshot if you need an initial view. Discuss a project if you already know you need diagnosis or implementation.
