Websites & SEO · 5 min read

SEO, AEO and GEO for mortgage websites: getting found by search and cited by AI

How mortgage websites get found in search, extracted as answers and cited by AI assistants: speed, schema, answer-first writing, llms.txt, crawl access and entity clarity.

By Renata Vossberg (Head of Suite Strategy) · Published · Updated

Blog cover: Getting Cited by AI Search, with Tolly the puffin holding a glowing answer card

Key takeaways

  • SEO gets a page ranked, AEO gets a passage extracted as the answer, GEO gets a site cited by AI assistants.
  • All three reward the same foundations: fast pages, clear structure, structured data and plainly stated, sourced facts.
  • Google’s “good” Core Web Vitals thresholds: LCP ≤ 2.5 s, INP ≤ 200 ms, CLS ≤ 0.1.
  • Allow AI crawlers on public pages if you want to be cited, and publish an llms.txt.
  • Keep the company, branch and LO names identical everywhere; entity consistency drives attribution.

Borrowers now find lenders three ways: a search results page, an answer box or voice result, and an AI assistant that summarizes the web. Each rewards slightly different things, but they share one foundation. This guide explains SEO, AEO and GEO for mortgage websites in practical terms, and what a company, branch or LO page needs to compete in all three.

What is the difference between SEO, AEO and GEO?

SEO vs AEO vs GEO
SEOAEOGEO
Goal Rank a pageBe the extracted answerBe cited by AI assistants
Where it shows Search resultsFeatured snippets, People Also Ask, voiceAI answers and AI search features
Key levers Relevance, structure, speed, linksQuestion headings, 40–60 word answers, lists, tablesEntity clarity, sourced facts, crawl access, llms.txt
Measured by Rankings, clicksSnippet ownershipReferrals from AI tools, spot checks

Why does speed come first?

Because slow pages lose people before any of the rest matters, and Google uses page experience as one input. Google’s Core Web Vitals define "good" as Largest Contentful Paint within 2.5 seconds, Interaction to Next Paint under 200 milliseconds and Cumulative Layout Shift under 0.1, measured at the 75th percentile of real visits.

Google’s “good” Core Web Vitals thresholds

LCP (ms)2,500INP (ms)200CLS (×1000)100
Source: Google Search Central, Core Web Vitals, checked 2026-10-19. CLS shown ×1000 for scale.
Show the data table
ItemThreshold
LCP (ms)2,500
INP (ms)200
CLS (×1000)100

A Deloitte study for Google ("Milliseconds Make Millions", 2020) found that a 0.1-second improvement in mobile site speed was associated with an 8.4% increase in conversions for retail sites and 10.1% for travel sites. Mortgage wasn’t in the study, but the principle holds: people abandon slow pages on phones.

8.4%
More retail conversions per 0.1 s faster mobile loadDeloitte for Google, 2020
2.5 s
LCP “good” thresholdGoogle Search Central
200 ms
INP “good” thresholdGoogle Search Central

What does mortgage SEO need?

  1. A keyword map: one primary keyword per page so pages don’t compete ("fha loan tucson" owned by one page).
  2. Structure: program pages, branch pages and LO pages linked as hubs and spokes.
  3. Local signals: consistent name, address and phone; a Business Profile linked from the branch page.
  4. Helpful content written for borrowers, with sources and dates.
  5. Clean technicals: canonicals, sitemaps, one-hop redirects, descriptive titles.

How do you write for answer engines?

Put the answer first. Under a question-shaped heading, write a 40–60 word paragraph that directly answers it, then expand. Use numbered steps for processes and tables for comparisons, and mark up page-specific FAQs.

How long does a mortgage pre-approval last? A pre-approval letter is typically valid for 60 to 90 days, depending on the lender. After that, the lender usually re-checks credit, income and assets before issuing an updated letter.
(Example of an answer-first paragraph)

How do you get cited by AI assistants?

Definition

Generative engine optimization (GEO): 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.

  • Allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others) on public pages, and say so in robots.txt.
  • Publish llms.txt, a plain summary of who you are and your key pages.
  • Be consistent: the same company, branch and LO names everywhere, connected in JSON-LD.
  • State facts plainly: "Our Tucson branch has six loan officers" beats "a dynamic local team".
  • Cite sources with dates, especially for market data.
  • Show authorship: named authors with visible roles.

Which schema types matter for mortgage sites?

Schema by mortgage page type
PageCore typesAdd where it applies
HomeOrganization, WebSite + SearchActionService list
BranchBranch business data, BreadcrumbListFAQPage, Person per LO
LO profilePerson, ProfilePageFAQPage
Program pageService, FAQPage, BreadcrumbListHowTo
Blog postBlogPosting, PersonFAQPage, ImageObject
Schema by mortgage page type

Schema types on a typical LO profile page (illustrative)Illustrative example

6 nodes
  • Organization + WebSite: 2
  • Person + ProfilePage: 2
  • BreadcrumbList: 1
  • FAQPage: 1
Illustrative breakdown of JSON-LD nodes in one page graph.
Show the data table
SegmentValue
Organization + WebSite2
Person + ProfilePage2
BreadcrumbList1
FAQPage1

How do you measure all three?

SEO: rankings and clicks in Search Console. AEO: which questions you own snippets for. GEO: referral traffic from AI tools where analytics can identify it, plus periodic spot checks of common borrower questions. Be wary of anyone selling an "AI visibility score" without explaining how it is measured.

Every Mortgage Funnel Suite site is built on these foundations: built to score 90+, schema per page type, answer-first writing and llms.txt with open AI crawl access.

A 90-day plan for a branch website

  1. Weeks 1–2: foundations. Fix speed issues, confirm one H1 and a unique title per page, add Organization, Person and BreadcrumbList schema, submit sitemaps, publish llms.txt and review robots.txt.
  2. Weeks 3–4: keyword map. List the program-plus-place terms, LO names and borrower questions you want to own, and assign each to exactly one page.
  3. Weeks 5–8: answer-first rewrites. Rewrite the top program and branch pages with question headings, direct answers and page-specific FAQs.
  4. Weeks 9–12: local depth. Add genuinely local content to the branch page, link the Business Profile and ask closed clients for reviews.
  5. Ongoing: one sourced, dated article a month, and refresh pages when programs or data change.

None of this requires tricks. Search engines and AI assistants are both trying to find the clearest, most trustworthy answer to a borrower’s question. Your job is to make sure that answer lives on your site, is easy to read, loads quickly and clearly belongs to your company and your loan officers.

Does SEO content need compliance review?

Yes. Blog posts and program pages are advertising if they promote your products. Educational content citing market data with sources and dates is generally lower risk, but anything that states rates, payments or terms needs the right disclosures. Route content through the same approval workflow as the rest of the site.

Myths about SEO and AI search for lenders

  • “AI search makes SEO irrelevant.” AI answers lean heavily on pages that are already indexed, fast and clearly structured. The foundations are the same.
  • “More pages always help.” Thin, duplicated pages per city or per LO compete with each other and can make the whole site look low-quality.
  • “Schema is a ranking hack.” Structured data helps engines understand pages and can make them eligible for rich results; it does not replace helpful content.
  • “Blocking AI crawlers protects our content.” It also removes you from AI answers. Decide deliberately, page type by page type if needed.
  • “Someone can guarantee first page.” No one controls rankings or AI citations. Be wary of guarantees.

The common thread is that shortcuts rarely work for long. Clear, accurate, fast pages written for borrowers are what search engines and AI assistants are built to find.

Sources

  1. Google Search Central: Core Web Vitals
  2. Deloitte for Google: Milliseconds Make Millions (2020)
  3. Google Search Central: Intro to structured data
  4. llms.txt proposal

Statistics are attributed to the source and date in the text. Examples marked “illustrative” use made-up numbers. This article is general information, not legal, compliance or financial advice.

#SEO#AEO#GEO#schema#page speed

Ask the front desk

Questions readers ask about this topic

  1. YouWhat is AEO?
    Funnel Suite team

    Answer engine optimization: structuring pages so engines can extract a direct answer (featured snippets, People Also Ask, voice).

  2. YouWhat is GEO?
    Funnel Suite team

    Generative engine optimization: making a site easy for AI assistants to understand and cite.

  3. YouDo I need different content for each?
    Funnel Suite team

    No. Well-structured, fast, sourced, answer-first content serves all three.

  4. YouShould mortgage sites block AI crawlers?
    Funnel Suite team

    If you want to be cited by AI assistants, allow them on public pages. Blocking removes you from those answers.

  5. YouWhat is llms.txt?
    Funnel Suite team

    A proposed plain-text file at your site root that summarizes your site and links key pages for language models.

  6. YouHow fast should a mortgage website be?
    Funnel Suite team

    Aim to pass Core Web Vitals: LCP ≤ 2.5 s, INP ≤ 200 ms, CLS ≤ 0.1, and score 90+ on PageSpeed Insights.

  7. YouDoes schema guarantee rich results?
    Funnel Suite team

    No; it makes pages eligible and easier to understand. Google decides what to show.

  8. YouDo FAQ blocks still help SEO?
    Funnel Suite team

    They help engines and readers understand and extract answers, even where FAQ rich results are limited.

  9. YouHow long does mortgage SEO take?
    Funnel Suite team

    Months for competitive local terms; faster for LO names and long-tail questions.

  10. YouCan AI assistants get our programs wrong?
    Funnel Suite team

    Yes. Clear, current pages on your own site are the best defense.

Related reading

Fast, found and cited from day one

Every suite site ships with speed, schema, answer-first pages and llms.txt built in.

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