AI-citation audit in National City.
See what ChatGPT, Claude, and Perplexity say about your National City business right now. Free as a self-serve tool, or hire me to fix the gaps and prove the change ninety days out.
See what ChatGPT, Claude, and Perplexity say about your National City business right now. Free as a self-serve tool, or hire me to fix the gaps and prove the change ninety days out.
National City runs on the Mile of Cars, on logistics, on trades, on cross-border commerce, and on a thick layer of family retail. A lot of that business is bilingual and a lot of it is word-of-mouth. None of that reputation reaches an AI model on its own. When a South Bay buyer asks ChatGPT "best used-car dealer on the Mile of Cars" or a shipper asks Perplexity for a warehouse-services provider near National City, the answer is built from whatever the model can read — and the typical National City business site gives it almost nothing.
The audit shows you where you land. I run the prompts a real buyer would use — in the language they would actually use — across every model that matters, and hand back a plain snapshot: where you get named, where a competitor gets the recommendation, and where the category sits open with nobody owning it. For a market this dense with established operators, the gap between local reputation and AI visibility is often the widest I see anywhere in the county.
A note on scope. My sister studio XALA handles AI-citation work for clinics, dental practices, and real-estate brokerages — separate playbooks, clean hand-off if that is you. Auto, logistics, trades, cross-border commerce, and family retail across National City run through me.
An independent dealer on the Mile of Cars. A fixture for years, named on "National City car dealers" in ChatGPT only as a chain reference, never on "family-owned used-truck dealer near National City." I deepen the audit, ship an inventory-and-specialty page in readable text — bilingual where the buyers are — add AutoDealer schema, and seed two primary-source listings. The day-90 snapshot puts them in two of four model answers.
A logistics and warehousing operator near the port. Solid regional contracts, invisible to Perplexity for "warehouse and distribution services near National City." The free tool returns nothing. I run a paid engagement: a capabilities page that names actual capacity and service lines, one indexable Service-schema page per offering, and a primary-source company profile. By day 90 they show in Claude and Perplexity for two of three queries.
A family-retail business in Lincoln Acres. Loyal bilingual customer base, absent when a newcomer asks Claude "good local shops near National City." I rewrite the site around what they actually carry, in readable text, add LocalBusiness schema, and land a primary-source profile. The day-60 panel names the business directly.
This is an audit and a focused remediation, not a brand overhaul. I do not promise a citation count and I do not run paid ads. Where it helps the models read you, I will structure the readable content in both English and Spanish. If the site has structural problems that block AI crawlers entirely, I name them in the report and either fix the load-bearing pieces inside scope or quote a separate rebuild. The free tool tells you most of what you need before you pay me a dollar.
San Diego is studio headquarters, and National City is inside thirty minutes through the South Bay. I can meet in person when it helps; most of the work runs remote, but the first conversation can be wherever is easiest.
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