Visibility in AI assistants.

Local search is bifurcating. Google is still where most discovery happens — for now. But a growing share of customers, especially higher-income ones, ask an AI assistant first. ChatGPT alone reports hundreds of millions of weekly users. Perplexity, Gemini, and Claude add tens of millions more. When these assistants get asked "best [service] in [town]," they answer with specific business names. The names they pick are not random.

This is the new frontier of local marketing, and almost no local business is doing anything about it. The window to claim ground is now — before every plumber in Greenwich figures it out.

How AI assistants decide who to recommend

Different assistants use different sources, but the common ground is:

• Your own website, read with extreme attention to clear structure, schema markup, and explicit "what we do / where / for whom" statements. AI assistants are language models — they need text that tells them, in clear words, what you are. Sites that rely on imagery or vague marketing copy are invisible.
• Your Google Business Profile, which is in the corpus most assistants read from Google's web index. A complete, fresh GBP gives the assistant the facts it needs to recommend you confidently.
• Third-party reviews and listings: Yelp, BBB, Angi, neighborhood blogs, Reddit threads, Quora answers, local Patch articles. Assistants triangulate across these to decide which business is the "consensus best" for a query.
• Content you have published — blog posts, case studies, guides — that demonstrate expertise and link to your site. Cited content is the strongest signal an assistant has that you know what you are doing.
• Schema markup, which is the most direct way to tell a machine what you are. LocalBusiness, Service, FAQPage, Review schema — all of it makes the assistant's job easier and your inclusion more likely.

What we build

• Website rewrite for AI readability. Clear copy, explicit service / location / price information, well-structured headings, no copy that hides behind imagery, no JavaScript-rendered text without a fallback.
• Comprehensive schema markup. Layered schema across LocalBusiness, Service, FAQPage, BreadcrumbList, Review, and aggregate ratings. Validated against Google's structured-data tools.
• FAQ pages that mirror how customers actually ask. Assistants synthesize answers from FAQ-shaped content directly. We harvest your real customer questions and answer them on the site in machine-parseable ways.
• Citation network expansion. Beyond standard NAP citations — into the niche directories, neighborhood blogs, trade publications, and Reddit / Quora communities that assistants read.
• Content that demonstrates expertise. Case studies, guides, before-and-after pieces. AI assistants reward businesses that "show their work" publicly.
• Ongoing monitoring. We periodically query the major assistants about your category and geography to see how recommendations are shifting and what signals are working.

What this looks like in practice

We publish anonymized AI Visibility Audits for client and demo businesses regularly — including a recent one on a garage door company that found, predictably, that the business was almost entirely invisible to AI assistants. Read the audit →

What it costs

AI-assistant visibility is usually bundled into website, profile, content, and review work because the inputs overlap. After the foundation is rebuilt, lightweight maintenance can include periodic AI-answer monitoring and small content/profile fixes in the $200-$500/month range. The free visibility check includes a snapshot of how the top AI assistants currently answer queries about your business and category.

Get your free AI visibility check

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