It overlaps with SEO, but the focus is different. SEO helps you rank in traditional search results. AI visibility focuses on whether AI systems can understand, trust, cite, and recommend your business inside generated answers.
No. We do not guarantee recommendations from third-party AI platforms. We improve the public signals that make your business easier to understand and more credible, then measure progress over time.
For the audit, no. For implementation, yes, or we can coordinate with your existing web vendor.
We use "How did you hear about us?" fields on intake forms, unique call tracking numbers, AI-specific landing pages, promo codes like AI10, and monthly share-of-voice reporting.
The report is generated in minutes after intake. The timing question is usually when you want to schedule the walkthrough so we can review the findings together.
AI systems form recommendations from public signals: your website's clarity, structured data (schema markup), business listings across directories, reviews, citations on third-party sites, and the depth of your FAQ and service-area pages. Helping AI find your business means making each of those signals consistent and unambiguous: complete Google Business Profile, accurate listings on Yelp/Apple/Bing, FAQ pages that answer real customer questions, schema markup describing your services and location, and consistent review velocity. Our audit tests which signals AI is currently reading correctly and identifies the gaps.
Almost always one of three reasons: (1) your business signals are weak or inconsistent across the web: different addresses, hours, or service descriptions across directories, so AI can't form a confident answer; (2) competitors have stronger signals: more reviews mentioning specific services, deeper FAQ content, more directory citations; or (3) your website is unclear about what you do, where, and for whom: AI prefers businesses it can describe in one sentence. The audit identifies which of these applies to your business specifically.
Traditional SEO optimizes for ranking in a list of links: keywords, backlinks, page speed. AI search optimization is about being understood and cited in a synthesized answer. AI weighs different signals: structured data accuracy, review depth and recency, citation consistency across the web, content clarity, schema markup, and whether your business is described unambiguously. SEO and AI visibility overlap heavily, but the priorities and weighting differ.
Generative engine optimization (GEO) is the practice of making your business or content easier for the AI engines your customers use to understand, trust, and cite in their generated answers. It's the AI equivalent of SEO. It's becoming a distinct discipline because the signals that move AI recommendations differ from the signals that move Google rankings.
The major signals: business listing accuracy and consistency (NAP — name, address, phone — across Google, Yelp, Apple Maps, Bing, BBB, and industry directories), review count, recency, and topic specificity, structured data on your website (schema.org markup describing services, location, hours, pricing), content depth on dedicated service and FAQ pages, third-party citations (mentions on news sites, neighborhood guides, industry directories, blogs), and clear signals about who you serve and where. Our audit scores each.
AI search is a new layer, not a replacement. Google itself is integrating AI into its results (Google AI Overviews, Gemini), and Bing has done the same with Copilot. The bigger shift is that customers increasingly start with AI assistants for research and recommendations before — or instead of — a search engine. The right framing: AI search is now part of the discovery funnel, and the businesses that show up in both Google and AI tools have a major advantage over businesses that show up in only one.
Each audit includes: a calibrated buyer-intent prompt set tested across the AI engines your customers use to measure where you appear and where competitors appear instead; a competitor visibility comparison; a website clarity audit reviewing schema, FAQ depth, and trust signals; a local authority review across Google Business Profile, Yelp, Apple Maps, Bing, and industry directories; a 0–100 visibility readiness scorecard with mention rate, top-spot rate, website citation, and description accuracy; and a 30-minute live walkthrough call. The report is at your fingertips after intake.
Every audit includes a 30-minute live walkthrough call where we go through your scorecard, the priority fixes, and your questions. Retainer clients get a monthly live strategy call. The deliverable is never just a PDF in your inbox.
Yes — and we publish enough of the methodology that motivated business owners can. Our AI Visibility Checklist walks through the full DIY framework. Most owners, however, don't have the time to run a calibrated buyer-intent prompt set across four AI platforms, audit listings on a dozen directories, and score themselves objectively. The audit exists so you don't have to. If your time is worth more than the audit price, the math is clear.
Primarily yes. Our methodology works best for businesses where one new customer can justify the investment — local service businesses (dentists, attorneys, med spas, roofers, HVAC, vet clinics, financial advisors), specialty retail, and high-ticket service providers. We don't currently work with pure e-commerce, low-ticket retail, or businesses without a local or service-area component.
You can implement the fixes quickly — and we encourage it. But the results don't land instantly. The AI engines your customers use re-read and re-evaluate the public web on their own schedule, so it typically takes weeks for your changes to show up in the answers people see. Once they do, the new results reveal the next set of gaps to close — and competitors keep improving in the meantime. That's why AI visibility works like SEO: it's a measure, fix, re-measure loop, not a one-time checklist. The audit and fixes get you moving; the ongoing cadence is what compounds the gains and protects them.