Demo / Kessler Vance / InfrastructureSample data

Step 2

Then we make sure AI can read your website

Most brokerage sites are a listings database behind JavaScript. We find what is stopping AI from seeing you, then fix it.

Technical grade today

58 / 100

4.8s

LCP

Largest Contentful Paint

310ms

INP

Interaction to Next Paint

0.21

CLS

Cumulative Layout Shift

1.1s

TTFB

Time to First Byte

We crawl your whole site and run 80+ checks across eight categories, the same suite Google and the AI engines judge you on. For Kessler Vance, 41 issues are live right now across 212 pages.

Three of these stop AI engines cold

Every availability renders client side, so crawlers see 180 empty listing pages
GPTBot, ClaudeBot & PerplexityBot are blocked in robots.txt
No llms.txt, and no schema on any broker bio or availability

Every category we check

Site posture

AI crawlers, llms.txt, HTTPS, sitemap

6 to fix

Schema (JSON-LD)

Structured data AI engines read

11 to fix

Meta & tags

Titles, descriptions, canonicals

7 to fix

Content & AEO

Direct answers, FAQ schema, structure

6 to fix

E-E-A-T

Broker bios, credentials, freshness

3 to fix

Performance

Core Web Vitals, page weight

4 to fix

Link health

Broken links, redirects, orphans

2 to fix

Images

Alt text, modern formats

2 to fix

Then we fix all of it

Performance, schema, links, meta, images, every category. Ready-to-ship files, not a to-do list.

Site health

today

41 issues open

Server-rendered availabilities

Floor, size, submarket and asking rent readable without JavaScript

Patched robots.txt

AI crawlers explicitly allowed in

Generated JSON-LD

RealEstateAgent, Person and FAQ schema across bios and market pages

llms.txt + IndexNow

A map of your market content, pushed to engines on publish

The files we actually ship

Written for your site, not a template.

robots.txtAI crawlers now allowed

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

Sitemap: https://kesslervance.com/sitemap.xml

RealEstateAgent schema (JSON-LD)added to the firm and broker pages

{
  "@context": "https://schema.org",
  "@type": "RealEstateAgent",
  "name": "Kessler Vance",
  "areaServed": [
    "Midtown Manhattan",
    "Midtown South",
    "Downtown Manhattan",
    "Downtown Brooklyn"
  ],
  "knowsAbout": [
    "Tenant representation",
    "Agency leasing",
    "Investment sales",
    "Office subleasing"
  ],
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "New York",
    "addressRegion": "NY"
  }
}

llms.txta guide to your market content for AI

# Kessler Vance
> Full-service commercial real estate in New York City: tenant
> representation, agency leasing, investment sales, management.

## Key pages
- /tenant-representation: What a tenant rep does, and who pays for one
- /market/midtown-south: Asking rents, availability, what is actually trading
- /guides/loss-factor: Why your 10,000 feet is really 8,200

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