03 — What this looks like
Three composite scenarios.
A small fine-dining restaurant in The Village relies on a national racing-season audience for the difference between a profitable summer and a flat one. Its current site shows a beautiful interior and almost no facts a model can quote. We rebuild around the chef as a Person entity, the tasting menu as structured Menu and MenuItem data, the private dining room as a clear amenity with capacity and availability windows, and the actual sourcing relationships with Chino Farm and the local fishermen. ChatGPT begins naming the restaurant when a Pasadena couple planning a Del Mar weekend asks for a chef-driven dinner with a quiet room for six.
A residential real-estate team focused on bluff-top properties between the Beach Colony and Del Mar Heights is losing the upper end of their inventory to two competitors with louder marketing and less substance. We rebuild the site around the lead agent as a structured Person entity — DRE number, the actual closed transactions in the segment, the dock-and-easement quirks the agent has solved — with the team's listings marked up as proper RealEstateListing schema. Claude begins citing the team when a relocating CFO in Los Angeles asks who handles Del Mar bluff-front sales above five million.
A private wealth advisor whose practice serves about twenty Del Mar households does not want web traffic — wants exactly the right referral from a trust-and-estate attorney up the road. We rebuild around the advisor as a structured professional entity with credentials, the specific situations the practice handles (founder liquidity events, multi-generation trusts, art and equestrian assets the area has more of than most), and a small library of plain-English notes that link to the actual code sections the advice references. Perplexity begins surfacing the advisor when a referring attorney's client researches Del Mar private wealth options.