STRUCTURED DATA AND METADATA

For each template I recorded a live example page, the current markup, the types to add and remove, and a priority. On place pages I specified the best-fit type in place of the generic LocalBusiness: Park, PerformingArtsTheater, TouristAttraction, StadiumOrArena or a transit type.

The table is the March 2026 version of the October 2025 audit, with the itinerary row revised in July 2026.

I matched each recommended type to the search features it can unlock, from event results to Knowledge Panels and AI Overview citations, sorted them into three tiers, and ordered the build by which types depend on others. The six first-tier types define the site’s identity and core content.

The plan for developers followed one rule: each page gets one definition of what it is, and markup never describes anything visitors can’t see. Add the base layer, add each template’s main type, remove conflicting types, validate each template in the Rich Results Test, launch Priority 1, and watch Search Console before starting Priority 2.

I wrote a full JSON-LD example for every template except Attraction Tours. This one, abridged, is for Photo Galleries.

The July 3, 2025 crawl reported 9,409 broken-link rows. I traced 8,089 of them to one sitewide link to brooklynhistory.org and filtered those out, which left a worklist of page-specific problems on 957 pages, led by links to nycgo.com, NYC Tourism’s own former domain.

I applied the same method to three more crawls. In September the sitewide cause became a link to Historic Richmond Town’s Decker Farm page.

A September 9, 2025 sitemap check turned up 13 URLs that didn’t belong: 5 broken pages and 8 redirects, six of them Bronx neighborhood pages still listed under an old address.

I exported all 12,673 entries from Contentful (8,292 venues, 3,256 calendar events, 1,031 articles and 94 landing pages) and measured every title against 60 characters and every description against 160.

A third of the entries had no meta description, and three quarters of the titles were short, averaging 22 characters. Most entries flagged as duplicates were blank descriptions sharing the same empty value.

I audited the descriptions for missing copy, short or long text, and true duplicates, then organized the findings into a cleanup worklist. This was an audit and recommendation process, not a rewrite of every description.

In July 2025 I rewrote 18 article titles to put the search term first, such as “Chinatown Restaurants” and “NYC Pride 2025.”