# MemmoCRE — full content index MemmoCRE builds AI-generated, SEO-optimized websites and CRM for commercial real estate brokers. Sites go live within 24 hours, are structured for AI search (schema markup, llms.txt, clean semantic HTML), and are owned by the broker — custom domain they control, content and CRM they can export anytime. Plans: Starter ($99/mo), Professional ($199/mo), Premium ($349/mo). See https://memmocre.com/pricing. # Articles ## Why CRE agent sites are dead in AI search — and what to do about it URL: https://memmocre.com/blog/cre-sites-and-ai-search Published: 2026-05-12 If you have spent any time querying ChatGPT, Claude, or Perplexity for commercial real estate research lately, you may have noticed something jarring. The names that come back are not necessarily the names with the biggest brokerage logos or the most expensive websites. They are the agents whose content is structured, current, and locally specific. That shift has profound consequences for how a CRE agent should think about their website in 2026. The old model — buy a WordPress template, hire a consultant for $4,000, pay an SEO contractor for monthly tweaks — was optimized for ten blue links on a Google results page. AI search does not work that way. It synthesizes. It picks a small handful of sources, summarizes them, and recommends. The agents who win in AI search share three traits. First, their pages have structured data — schema markup that explicitly tells a model what the page is about, who the agent is, what markets they cover, and what listings they have. Second, their content is built from real local data: county GIS, employer movements, recent transactions, demographic shifts. Generic "experienced and trusted" copy is invisible to a synthesizing model. Third, their sites have an `llms.txt` file and clean semantic HTML, the AI-era equivalent of a sitemap. The good news: you do not need a new agency to fix this. The bad news: most existing CRE agent sites need to be rebuilt, not retrofitted. The structure of a 2015 WordPress page — a hero image, a paragraph of bio, a stock-photo carousel, a contact form — is fighting against everything an AI crawler is trying to do. A modern CRE site is not just a brochure with a contact form. It is a structured, locally-authoritative dataset about an agent, their markets, their deals, and their point of view. Build it that way, and the AI search shift becomes an advantage, not a threat. --- ## The five pages every commercial broker website needs (and why most miss two of them) URL: https://memmocre.com/blog/five-pages-every-cre-site-needs Published: 2026-05-08 If you survey 100 CRE agent websites, you will find roughly the same five sections: a home page, an "about" page, a contact form, a listings grid if the agent has any listings, and a vaguely-titled "services" page. That set might have worked in 2015. In 2026 it is barely a starting point. Here is the minimum viable set of pages a commercial broker site needs to actually compete — both in classic Google search and in the AI-driven research tools that increasingly drive deal sourcing. **The bio page that actually says what you do.** Not "experienced commercial real estate professional with a passion for client service." A specific, structured description of your specialty, your typical deal size, your representative transactions, and the markets you cover. AI search models cite specifics; they ignore platitudes. **Service pages, one per service line.** Tenant representation, landlord representation, investment sales, owner-occupied acquisitions — each one should be its own page, with its own structured description of how you approach it, who it suits, and what the typical engagement looks like. One generic "services" page covers nothing. **Market pages, one per submarket.** This is where almost every agent site falls down. If you cover three submarkets, you should have three market pages — each one a real piece of locally-authoritative content with demographics, recent comps, major employers, and your point of view on where the market is heading. Market pages are also your single best source of inbound leads from owners and tenants doing their own research. **A listings index with structured per-listing pages.** Each listing should be its own URL with schema markup for property type, address, size, asking price, and contact. A PDF flyer attached to a JPEG is not a listing page. **A blog or insights section with at least one post per month.** Not "Top 5 Reasons to Lease in 2026." Real takes on your market — leasing trends, transactions you can discuss publicly, what you are hearing from clients. Crawlers and human researchers both want recency; an empty or year-old blog signals an inactive agent. The two most commonly missing pages are market pages and service-line pages. Both are work to build — but they are also the two pages that disproportionately drive inbound leads, because they map cleanly onto the questions a tenant or owner is actually typing into a search bar. --- ## What we pull from public sources to build a market page in 24 hours URL: https://memmocre.com/blog/what-we-pull-from-public-sources Published: 2026-05-02 One of the most common questions we hear during onboarding is "where does the data on my market pages actually come from?" The short answer: public sources. The slightly longer answer: a stack of public sources, joined together, with your point of view layered on top. Here is roughly what we pull, per submarket, when we build a market page. **Demographics and population trends.** US Census, American Community Survey, and Bureau of Labor Statistics. We pull population, median income, age distribution, employment by sector, and five-year trend lines. This becomes the "who lives and works here" section of the page. **Major employers and employer movement.** State and county economic development sites, press releases, and SEC filings for any publicly traded companies headquartered or expanding in the submarket. This becomes the "what is driving demand" section. **Permits and pipeline.** Where available, we pull permit data from the relevant county or city site, focusing on commercial construction and large multifamily. This becomes the "what is coming online" section. **Comps and transactions.** Public records via county assessors and recorders for sale transactions, plus any press coverage of leasing activity. This becomes the "what is actually trading" section. Note that we do not pull from proprietary CRE databases — your CoStar credentials are yours and we do not need them. **Local context.** News mentions, Chamber of Commerce activity, school district performance, transit access. These become the small details that make a page sound like an agent wrote it rather than a model. Once the data is pulled, our AI stitches it together into a narrative — but the narrative respects two constraints. First, every claim links back to its source where possible, so the page is verifiable. Second, your voice and point of view are layered on top: how you read the trend, where you think the market is going, what you are advising clients to do. The result is a market page that takes us about 24 hours to ship and would take a research analyst working full time the better part of a week to assemble manually. Multiplied across the three to seven submarkets a typical agent covers, that is the difference between having locally-authoritative content and not.