Danly Properties: Eighteen Buildings Google Could Not See

Danly Properties has owned and operated commercial real estate in Austin since 1990: retail centers, office, mixed-use and land, eighteen properties across Central Texas. They came to us in August 2026 for a website refresh and search work. We rebuilt the site instead.

Why a refresh was not enough

Every property lived behind a single URL, with the specific property selected by the part of the address after the #. That part never reaches the server, so a search engine reading the site saw one page eighteen times, and the page it saw said “Property Not Found”. Eighteen buildings, nothing indexable.

Legacy URLs from an earlier version of the site had ranked and were returning errors. On phones the menu covered its own close button. The tenant page led nowhere. None of that appears in an analytics report. It appears as people leaving.

That is not a content problem, and no amount of keyword work fixes it. The structure had to change first.

What we built

We rebuilt the site page by page in Danly's own palette and type, taken from their logo. Roman handled design and front end. I handled infrastructure and search. Ten days, start to finish.

Each of the eighteen properties got a real URL and a real page: photography, overview, tenants, leasing contacts, a current flyer. Every property page carries two blocks of structured data naming the owner, the phone number, the tenants and the coordinates, plus breadcrumbs, so a machine can state exactly what the page is without inferring it. We collected street addresses from the owner for fifteen of the eighteen and put them in the data. The remaining three are raw land, where a city is the honest level of precision.

Every legacy URL that had rankings got a 301 to its replacement. A sitemap and a clean robots file went up. Search Console was verified, and analytics records the three actions a leasing business is actually paid for: a flyer download, a phone tap, an email click.

Deploys run from a push to the repository, which is what lets us promise any edit inside 48 hours.

Where it stands

As of mid-September, all eighteen property pages are live, indexable and in the sitemap, each carrying its structured data, and every legacy URL that had rankings resolves to a real page. We verified that with our own crawler rather than taking the deploy's word for it.

Two flyer buttons died silently after launch and our QA caught them. That is the reason monitoring is part of the engagement now rather than an add-on. A broken button produces no error and no complaint. It produces a slightly quieter week.

One limitation worth stating before the numbers, because it shapes all of them. Search Console was verified on 22 August, the day the rebuild started, so the account holds nothing from before the engagement. There is no true before-and-after in it. Everything below is measured against the property pages' own first week.

The property pages are carrying the site. They started at zero and now appear across 162 different searches at an average position of 7.9, with daily appearances nearly doubling between that first week and the most recent three days. Set aside the people typing the company's name and the property pages take 41% of the site's clicks, rising to 60% in the most recent full week. Every one of those is somebody searching for a building rather than for the company.

The ranking claim, stated precisely: 17 of the site's 22 ranking pages sit on page one of Google, six of them in the top five, for searches about specific addresses and centre names. Searching the company's own name does return Danly first, but it would have done that anyway, so that is not a result and we do not count it as one.

What comes next

The foundation is the point of the first phase: real pages, structured data, verified addresses, and measurement that ties back to leasing rather than to traffic.

The next gain is the click rather than the position, and it is a finite piece of work. One property page is shown 58 times for its own tenant's name from position 11.9, another 57 times from 7.7. The rankings already exist; sharpening the titles and descriptions on the highest-appearance pages converts attention that is being won and then dropped.

After that it is GEO. Prospects now ask ChatGPT and Perplexity for retail space on a particular corridor, and those systems cite pages with clean structure and real content, which is what this rebuild produced. The work from here is content depth per property, entity and citation building, and tracking where the answers mention Danly and where they do not yet.

If your properties are invisible to search, this is the work.