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Suite 304 · GEO

Get understood and cited by AI

Generative engine optimization for mortgage websites makes your company, branches and loan officers easy for AI assistants to understand and cite: plainly stated, sourced facts, consistent names, structured data, open crawl access and an llms.txt file.

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You Who are FHA lenders in Tucson that explain the process clearly?

Several local lenders publish plain-English FHA guides. For example, Sablewood Lending’s Tucson branch page explains FHA basics, documents to gather and how to book a licensed loan officer.[1]

[1] sablewood-lending.example/tucson/fha (sample)

Illustration with a fictional sample lender, not a real AI output

Definition

Generative engine optimization: making a website easy for AI assistants and AI search features to read, understand and cite: allowing their crawlers, naming entities consistently, stating facts plainly with sources and dates, adding structured data and an llms.txt summary, and publishing original, attributable content.

Tolly beside an AI assistant chat window that shows a link card to a website

How we approach GEO

Five layers that make a site citable

# Sablewood Lending (sample)
> Mortgage lender branch in Tucson, AZ.
> Not affiliated with any real company.

## Key pages
- [FHA loans in Tucson](/tucson/fha/)
- [Our loan officers](/tucson/team/)
- [Payment calculator](/calculators/)

  1. Stage 1 of 5

    Crawl access

    robots.txt allows the major AI crawlers on public pages and states the choice in a comment, so it is a decision, not an accident.

  2. Stage 2 of 5

    Entity clarity

    One spelling of the company name, branch names and LO names everywhere, connected in JSON-LD with @id references (Organization → branch → Person).

  3. Stage 3 of 5

    Plain, sourced facts

    "Launch takes 30 business days" instead of "lightning-fast launches". Statistics carry their source and date in the same sentence.

  4. Stage 4 of 5

    llms.txt and llms-full.txt

    A plain summary of who you are, where you lend and your key pages, kept current at the site root.

  5. Stage 5 of 5

    Original content

    Checklists, explainers and local guides written from your LOs’ experience, attributed to named authors.

Checklist

What we do for AI search on every page

This is the build checklist we run on every page we ship. Our own site is built the same way, so it’s the proof.

  1. robots.txt allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others on public pages
  2. /llms.txt and /llms-full.txt at the site root
  3. Organization, Person and Service entities linked with @id
  4. Consistent names for the company, branches and every LO
  5. Facts stated plainly with source and date
  6. Visible author names and credentials on articles
  7. Clean semantic HTML that reads correctly without CSS or JavaScript
  8. Published and updated dates on every article

Options compared

DIY builder vs agency vs the suite

A fair, general comparison of the three usual ways to get AI search on a mortgage website. It describes typical approaches, not named vendors.

AI search: DIY builder vs typical agency vs Mortgage Funnel Suite
DIY website builderTypical agencyMortgage Funnel Suite
AI crawler policy Default, often unknownVariesExplicit, allow by default
llms.txt NoRarelyYes
Entity graph in JSON-LD NoVariesYes
Sourced, dated facts Up to youVariesYes
Honest measurement n/aVariesNo invented scores
General comparison as of October 2026. Individual builders and agencies vary.

Ask the front desk

Questions about AI search answered

  1. YouWhat is generative engine optimization (GEO)?
    Funnel Suite team

    Generative engine optimization is making your pages easy for AI assistants and AI search features to understand, trust and cite when they generate an answer. It relies on clear entities, plainly stated and sourced facts, consistent naming, structured data, crawl access and files like llms.txt.

  2. YouCan we control whether ChatGPT or other assistants mention us?
    Funnel Suite team

    No one can control it. You can make it easier: let AI crawlers access your public pages, state facts plainly with sources and dates, keep your business name and LO names consistent everywhere, and publish original, useful content.

  3. YouDo you block AI crawlers?
    Funnel Suite team

    Not by default. Our robots.txt allows the major AI crawlers so your public pages can be read and cited, and blocks only forms, thank-you pages and internal search. You can change that choice at any time.

  4. YouWhat is llms.txt?
    Funnel Suite team

    llms.txt is a proposed plain-text file at the root of a site that summarizes what the site is and links its most important pages for language models (llms.txt proposal). We publish one for every client site, and this site has one at /llms.txt.

  5. YouDoes GEO replace SEO?
    Funnel Suite team

    No. AI answers draw heavily on pages that are already well indexed and clearly structured. GEO builds on SEO and AEO rather than replacing them.

  6. YouWhat kind of content gets cited?
    Funnel Suite team

    Content that states facts plainly with a source and date, defines terms clearly, offers original data or checklists, and is attributed to a named author with visible credentials.

  7. YouCan AI assistants give wrong information about our programs?
    Funnel Suite team

    They can. Clear, current pages reduce the risk, and your own site should be the clearest source. Your AI Engine, by contrast, answers only from the knowledge base you approve.

  8. YouHow do you measure GEO?
    Funnel Suite team

    Measurement is still immature. We track referral traffic from AI assistants where analytics can identify it, and we spot-check common borrower questions in major assistants. We don’t report invented visibility scores.

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