Tenants, brokers, capital partners, and their analysts increasingly ask ChatGPT, Google AI, and Perplexity who builds and develops before they ever call. This audit measured what those engines can see about Hernandez Development & Construction — 17 million square feet, 24 years, $2B+ delivered — and found two problems, one of them urgent.
Verified August 14, 2026, across the homepage and multiple routes.
buildwithhernandez.com is built as a JavaScript app whose pre-rendering isn't finishing the job. A human with a browser sees your site. But any machine that reads pages the fast way — AI crawlers, answer engines, most link previews — receives this on your homepage:
To every AI system indexing your company, the front door of a $2 billion firm reads "Page Not Found." Your own build notes show per-page titles are supposed to be injected at build time — the mechanism exists; it isn't firing. This is days to fix, not months. It's finding #1 because everything else builds on it.
Who gets named when buyers ask the machines.
Firms a fraction of your size own the answer — one is cited for 6M sq ft while your 17M sq ft goes unmentioned. The track record isn't the problem. The machine-readability of the track record is. Full multi-market battery (Florida, Indianapolis, Chicago, Atlanta; tenant, broker, and capital-partner prompts): pilot week one.
You run an Investment Portal — you raise capital and win development deals on reputation. When an LP's analyst, a tenant's broker, or a land seller's advisor asks AI about Hernandez tonight, the answer is built from what machines can read: right now, that's a broken title tag and thin third-party scraps. One deal influenced by what AI says about you is worth more than a hundred of these engagements.
Honest scoping: your posting also asks for an InDesign artist and an events producer — that's human craft, and you should hire it. This is the other half of the posting: the systems half, built as machines.
Repair the pre-render so every page tells machines what it tells humans; publish llms.txt + full schema (Organization, projects, the portfolio). Run the prompt battery across FL, Indy, Chicago, Atlanta — tenant, broker, and capital-partner questions — scored with screenshots.
Auto-generated project pages from your drone/photo pipeline (every milestone becomes machine-readable proof), a LinkedIn thought-leadership engine for leadership, press-release distribution, and HubSpot drip automation for lead capture and capital-partner nurture.
The battery re-runs every month. Visibility trends land on a one-page Monday brief. You watch everything on a private live dashboard — the same kind of page you're reading now.
Actual first drafts in your voice, produced while building this page.
Everyone promises schedule certainty. We built our firm so we don't have to promise it — we control it. Land, capital, preconstruction, procurement, GC: one platform, one accountability. That's the Hernandez Way, and it's why our repeat partners keep handing us the next site before the last ribbon is cut. #ClassA #IndustrialRealEstate #SouthFlorida
Engine: 2–3 posts/week in leadership voice, drafted from real project milestones, approved before anything publishes.
Every milestone your drone pilots capture becomes public, structured proof of execution — the raw material AI uses to recommend you.
Same engine that publishes a live market instrument every morning at jwgre.com — headless, no human in the loop.
The 90-day pilot fixes the "Page Not Found" problem in week one, then builds the machine that makes your $2B track record legible to every AI a tenant, broker, or capital partner will ever ask. 90-day pilot: $12,500 flat. After: $3,500/month. A fraction of the salary in your posting — and it's the systems half, so the person you do hire can be a pure craftsperson.