How AL Watson Turned AI Search Into 5 Funded Loans in 60 Days Through Local SEO

A Practical Guide

Artificial intelligence is changing how consumers discover businesses, compare services, and find professionals. For mortgage loan officers, this shift creates a new opportunity: becoming the lender an AI-powered search tool recommends when someone needs financing.

In a LoanOfficerPodcast.com episode hosted by Chris Johnstone, mortgage professional Al Watson shared his experience attracting prospects through Google and AI search. His approach highlights several important lessons for mortgage professionals: focus on a specific market, develop expertise in clearly defined loan products, publish useful content consistently, and track where every lead originates.

Watson works primarily in non-qualified mortgage (non-QM) and private lending markets, including hard-money lending, fix-and-flip financing, debt-service coverage ratio (DSCR) loans, and new construction. He also developed a specialized focus on helping eligible business owners explore financing options when property taxes and other financial obligations put their property at risk.

During the interview, Watson explained that he began committing himself to AI in January. Google leads started appearing around April or May, followed by AI-generated referrals around July or August. By the time of the October interview, he estimated that four to five loans had been funded through AI referrals since August.

His experience provides a practical starting point for loan officers who want to understand AI search optimization and apply it to their own mortgage businesses.

What Are AI Search Leads in the Mortgage Industry?

AI search leads are prospective customers who discover a mortgage professional through an AI-powered search or recommendation experience.

Instead of simply typing a keyword into a traditional search engine, a consumer might ask an AI assistant questions such as:

• Who is a local mortgage lender experienced in DSCR loans?

• Which lender can help finance an investment property?

• Where can I find a local lender for a fix-and-flip project?

• What financing options might be available to a business owner with significant property equity?

• Can a local lender help me compare financing options for a new construction project?

The AI tool may provide information, compare potential options, or recommend businesses based on information available to it.

For loan officers, the opportunity is to build a strong, accurate online presence that makes their location, expertise, services, and customer value easy to understand.

AI recommendations are not guaranteed, and there is no single technique that guarantees a business will appear in every AI answer. However, a clear niche, useful content, credible business information, and consistent publishing can support discoverability across online search experiences.

How Al Watson Started Receiving AI-Generated Mortgage Leads

Watson did not describe AI visibility as an overnight success. He explained that he made a commitment in January to learn, work with, and apply AI consistently.

According to his interview, the timeline developed gradually:

• January: Watson committed to working on AI visibility and learning how to use the technology.

• April–May: He began seeing leads coming from Google.

• July–August: AI-driven referrals started coming in.

• By the October interview: He estimated that four to five loans had been funded through AI referrals since August.

Watson also estimated that he was receiving approximately five to nine AI-originated inquiries per week at the time of the interview.

These figures are his reported experience, not a guarantee of results for other mortgage professionals. Lead volume, lead quality, funding rates, and the time required to establish visibility will vary by market, competition, services, and execution.

The broader lesson is that AI search visibility should be approached as a long-term marketing investment rather than an instant source of mortgage leads.

A mortgage professional may need to spend months developing content, improving local relevance, refining their positioning, and learning which topics attract appropriate prospects.

Step 1: Focus on Your Local Mortgage Market

One of Watson’s most important strategies was to focus on his own backyard before trying to compete everywhere.

Based in the Chicago area, he chose to develop a stronger local identity instead of attempting to compete directly with large national businesses that may have substantially larger marketing budgets.

This approach makes sense for mortgage professionals because financing decisions often involve local market knowledge, property-specific considerations, and personal trust.

A prospective borrower may prefer to speak with a lender who understands the area where they are purchasing or investing. A loan officer who can explain local property markets and discuss a project in person may offer a more personal experience than a remote, unfamiliar provider.

Why local SEO matters for mortgage lenders

Local SEO helps search engines understand where a business operates and which customers it serves.

For a mortgage loan officer, local SEO can include:

• Maintaining accurate business information wherever the business is represented online.

• Publishing useful pages about lending services available in the relevant market.

• Explaining the types of properties and borrowers the lender serves.

• Creating content that answers questions specific to the local market.

• Keeping relevant business profiles and contact details consistent.

• Earning genuine reviews and professional mentions where appropriate.

• Building relationships with local real estate professionals and investors.

For example, rather than publishing only a broad page about investment property loans, a Chicago-area lender could create useful resources explaining DSCR financing for eligible investment properties in Chicago and surrounding Illinois communities.

The content should offer genuine information, not simply repeat a city name across dozens of nearly identical pages.

Become a recognizable local expert

Watson explained that prospects valued working with someone who knew the area. He also described visiting clients’ projects and maintaining a personal connection with borrowers.

These actions help differentiate a local lender from competitors.

For a loan officer, local expertise can be demonstrated through educational articles, clear service descriptions, relevant project discussions, community involvement, and practical explanations of financing options.

The objective is not to claim expertise without evidence. It is to make real expertise visible online and reinforce it through the customer experience.

Step 2: Specialize in Specific Loan Products

Many mortgage professionals try to appeal to every possible borrower. Watson’s experience suggests that a more focused approach can help a lender communicate a clearer identity.

His work centers on non-QM and private lending products, including hard-money loans, fix-and-flip financing, DSCR loans, and new construction financing.

He also developed a particularly specific focus: helping business owners facing tax-sale situations explore whether financing secured by eligible property equity could help address outstanding taxes and protect their businesses.

That focus gives prospective customers a more precise reason to seek him out.

What is a non-QM loan?

A non-qualified mortgage, commonly called a non-QM loan, is a mortgage that does not meet the Consumer Financial Protection Bureau’s definition of a qualified mortgage. Non-QM lending can provide alternative underwriting approaches for certain borrowers, depending on the lender and loan program.

Availability, eligibility, documentation, rates, and terms vary. Borrowers should confirm the requirements of the specific loan product rather than assume that every non-QM program offers the same flexibility.

What is a DSCR loan?

A debt-service coverage ratio (DSCR) loan is commonly used to finance investment property, with qualifying decisions often emphasizing the property’s rental income relative to its debt obligations.

Investors may search for DSCR financing when evaluating rental properties or expanding an investment portfolio. A lender who clearly explains their DSCR loan process, property criteria, documentation requirements, and geographic coverage can provide a useful resource for these prospects.

What is fix-and-flip financing?

Fix-and-flip financing is designed for eligible real estate investors who purchase properties, renovate them, and intend to sell them or otherwise exit the investment according to their plan.

Because projects can differ significantly in purchase price, renovation scope, timeline, and borrower experience, educational content should explain the factors lenders may consider without promising approval or a particular return.

Why niche positioning supports AI search visibility

A clear specialty helps a business explain exactly whom it serves and what problems it can address.

A lender who publishes detailed, useful information about DSCR loans may be more relevant to a consumer asking about rental-property financing than a website that only says, “We offer all types of mortgages.”

The same principle applies to local private lending and specialized business-property financing.

Start with a manageable set of products and customer needs. Build useful resources around them. Expand into additional subjects as the business develops the expertise and supporting content to serve those audiences well.

Step 3: Create Helpful Content Consistently

Watson said he publishes content every day. He also reviews the subjects where AI visibility appears strongest and identifies topics that need more attention.

Consistent publishing gives a mortgage business more opportunities to answer relevant questions and demonstrate expertise. However, publishing frequency alone does not guarantee rankings or AI recommendations. Quality, accuracy, relevance, and usefulness matter.

Build content around real borrower questions

Start by listing the questions your ideal customers ask before contacting a lender.

For a mortgage professional specializing in investment properties, these questions might include:

• How does a DSCR loan work?

• What documents may be needed for a DSCR loan?

• What is the difference between a conventional mortgage and a non-QM loan?

• How does fix-and-flip financing work?

• What should investors understand before financing a new construction project?

• What factors may affect eligibility for a private loan?

• What financing options might a business owner explore when property taxes are overdue?

Each question can become a detailed guide, frequently asked question, video, or educational social media post.

The goal is to explain the subject clearly and help the reader understand their next step.

Use a practical mortgage content strategy

A sustainable content plan could include:

Educational blog posts: Publish detailed guides about the loan products and borrower situations you understand best.

Short-form videos: Answer one specific question in each video. Explain a term, outline a process, or identify questions borrowers should ask before applying.

Frequently asked questions: Create concise answers to recurring questions and link them to more comprehensive resources.

Local content: Explain relevant local market considerations and the areas you serve, where you can provide accurate information.

Case studies: With appropriate consent and privacy safeguards, describe a real financing challenge, the options considered, and the outcome. Do not disclose confidential borrower information or imply that every borrower will receive the same result.

Professional updates: Share meaningful updates about your services, lending criteria, or educational resources, ensuring that all claims remain accurate and current.

Repurpose content thoughtfully. A comprehensive guide might provide material for several short videos, but each format should be adapted to its audience rather than duplicated without purpose.

Step 4: Make Your Expertise Easy for AI Systems to Understand

AI-powered search tools use different methods and sources to produce recommendations. No single checklist guarantees inclusion. Nevertheless, clear website content and consistent business information make it easier for both people and search systems to understand a lender’s services.

Explain who you help

Your website should clearly identify:

• Your service area.

• The types of borrowers or investors you work with.

• The loan products you offer.

• The property types you finance, where applicable.

• The situations in which your services may be relevant.

• How prospects can contact you.

Avoid vague descriptions that could apply to almost any mortgage business.

For example, a more informative service description might explain that a lender works with eligible real estate investors seeking DSCR financing for rental properties in specified Illinois markets. The description should match the lender’s actual capabilities and licensing.

Build detailed service pages

Consider creating separate pages for each major lending specialty instead of placing every product on one generic page.

A service page for DSCR loans could explain the basic concept, common use cases, the information a borrower may need, key eligibility considerations, and how to begin a conversation.

A page about tax redemption funding could explain the specific business-owner problem the lender aims to address, how property equity may be relevant, and why eligibility must be assessed individually.

Use plain language, descriptive headings, accurate terminology, and links to related resources. Avoid creating thin pages that merely substitute one keyword or city name for another.

Strengthen trust and accuracy

Mortgage lending involves important financial decisions, so trust matters.

Provide accurate information about the lender and the services offered. Keep contact details current, explain limitations, and avoid unsupported claims about approval rates, pricing, or funding timelines.

Where appropriate, identify the author or professional responsible for the content and explain their relevant experience. Review content regularly to ensure that it remains accurate.

Structured data can also help search engines interpret certain website information when implemented correctly, but it does not guarantee rich results or AI recommendations.

Step 5: Track Where Every Lead Comes From

One of Watson’s most practical habits was asking prospects how they discovered him.

He emphasized asking early in the conversation, before the prospect moves into a detailed explanation of their financing needs. He also said he records the answer prominently in his notes.

This matters because a business cannot reliably evaluate its marketing if it does not know which channels are generating inquiries and which inquiries are turning into funded loans.

Ask the right attribution question

When a new prospect calls, ask:

“How did you first hear about me or find my business?”

If the answer is vague, follow up politely:

“Was it through Google, an AI assistant such as ChatGPT, a referral, social media, or somewhere else?”

Record the prospect’s own answer rather than assuming the source based on how the call feels.

If the prospect says they used AI, ask which tool they used and what they searched for, if they remember.

Track the entire mortgage lead journey

A basic lead-tracking spreadsheet or CRM can include:

• Date of inquiry.

• Prospect name or internal lead ID, handled securely.

• Reported lead source.

• Search platform or AI tool, if known.

• Loan product requested.

• Geographic market.

• Qualification status.

• Application status.

• Approval status.

• Funding status.

• Reason a deal did not proceed, when known.

Use appropriate privacy and access controls, particularly when storing financial or personal information.

Measure lead quality, not just lead volume

Watson explained that some inquiries initially looked promising but could not be funded because of issues discovered later in the process. He adjusted his wording and positioning to attract prospects whose needs were better aligned with his financing options.

This illustrates an important point: more leads do not automatically mean more revenue.

Track whether inquiries match your lending criteria, progress to applications, receive approvals, and ultimately fund. Review the reasons qualified prospects move forward or drop off.

That information can help you refine website messaging, content topics, and the type of customers you attract.

Step 6: Refine Your Messaging to Attract Better-Fit Borrowers

Watson openly acknowledged that his early positioning attracted some people who needed help but could not obtain financing through his available products.

He began adjusting his wording to attract more suitable prospects. He reported that the number of better-fit inquiries was initially smaller, but he was starting to see improvement.

The lesson is not to make your marketing less welcoming. It is to make it more precise.

Describe your ideal customer clearly

Consider the difference between these two messages:

Broad message: “We help everyone find financing.”

More specific message: “We work with eligible real estate investors seeking financing for rental properties, fix-and-flip projects, and new construction in our service area.”

The second message helps readers determine whether the lender’s services are relevant to their situation.

For specialized financing, explain the types of circumstances your product is designed to address and identify the information needed to assess eligibility. Be transparent that a consultation does not guarantee approval.

Review the language your prospects use

Look at the actual questions and phrases that appear in inquiries, consultations, and customer feedback.

If multiple prospects ask about a specific financing problem, consider whether your website adequately explains it. If many inquiries fall outside your lending criteria, review whether your content or advertising is attracting the wrong audience.

Use these observations to improve the relevance of your marketing instead of simply adding more keywords.

Step 7: Develop a Specialized Niche That Solves a Real Problem

One of the most distinctive parts of Watson’s interview was his focus on business owners facing tax-sale situations.

He described working with a financing product intended to help certain business owners refinance property, address past-due property taxes or other obligations, and potentially protect a property tied to their business.

He also discussed business owners who may have property equity but face challenges qualifying for conventional financing because of their tax returns or bank statements.

This is a specialized situation, and not every borrower will qualify. The important marketing lesson is that a clearly defined customer problem can give a lender a stronger identity than a broad claim to offer every type of loan.

Why problem-specific content can be powerful

People often search for solutions to a specific situation rather than for an abstract financial product.

A business owner concerned about a tax sale may not know which type of financing to investigate. A detailed educational resource can explain the issue, outline questions to ask a qualified lender, and clarify which factors may affect eligibility.

Content about specialized financing should be especially careful and transparent. Do not imply that financing will always prevent a tax sale, that credit history never matters, or that a particular loan is appropriate for every distressed property owner.

Explain that timing, equity, ownership, legal circumstances, lender criteria, and applicable requirements can affect available options. Readers facing an imminent tax sale should also seek appropriate legal or tax advice when needed.

Turn expertise into a useful resource library

Watson mentioned writing a book called The Tax Redemption Funding Guide. That reflects a broader strategy: turn specialized knowledge into a resource that answers the questions of a clearly defined audience.

A lender could develop a collection of resources around a niche, such as:

• An introduction to the relevant financing option.

• Common eligibility considerations.

• Questions to ask before applying.

• Documents borrowers may need to gather.

• Important risks and limitations.

• Explanations of common industry terminology.

• A guide to preparing for an initial consultation.

Each resource should offer meaningful information rather than merely repeat a target keyword.

Step 8: Build Trust Beyond Search Rankings

Watson said AI-referred prospects sometimes told him that an AI tool had ranked him first or second in their search. He also compared the early stages of those relationships favorably with other lead sources, while noting that some deals could not proceed to funding.

This suggests that an AI recommendation can be a useful starting point for a conversation. It does not remove the need to establish trust or assess a borrower’s needs.

Make the first conversation valuable

When a prospect contacts you, focus on understanding their goals and circumstances before discussing a specific product.

Ask relevant questions, explain the process clearly, and be transparent about what you can and cannot determine during an initial conversation.

If the borrower is not a fit, communicate that respectfully and, when appropriate, explain what other type of professional or resource may help.

Support your online presence with real service

Watson also emphasized local relationships and visiting projects. Those personal interactions help make his business more distinctive than a website alone.

For other loan officers, the same principle may translate into stronger communication, useful educational consultations, dependable follow-up, and genuine relationships with real estate agents, investors, and local business owners.

Online discoverability can introduce a prospect to your business. The quality of the subsequent experience helps determine whether that prospect becomes a customer or refers someone else.

A 90-Day Action Plan for Mortgage Loan Officers

AI search optimization is an ongoing process. Instead of expecting instant results, use a structured plan to improve your positioning, content, and measurement.

Days 1–30: Establish Your Foundation

1. Define your niche. Choose the loan products, customer types, and geographic markets that match your expertise and lending capabilities.

2. Audit your online presence. Review your website, service pages, business profiles, contact details, and existing educational content for accuracy and consistency.

3. Identify customer questions. Collect the questions prospects ask most often and prioritize the subjects that align with your services.

4. Improve key service pages. Make your location, lending specialties, target customers, and next steps clear.

5. Set up lead attribution. Record how prospects find you and establish a consistent way to track inquiry quality and loan outcomes.

Days 31–60: Publish Useful, Focused Content

1. Create detailed guides. Publish educational content about your core loan products and the problems they help eligible borrowers address.

2. Publish consistently. Choose a realistic schedule for articles, short videos, FAQs, or other formats you can maintain.

3. Improve local relevance. Create genuinely useful local resources that demonstrate your knowledge of the markets you serve.

4. Connect related content. Link articles and service pages so readers can move from a basic explanation to more detailed information.

5. Review incoming inquiries. Look for patterns in lead sources, borrower questions, and qualification outcomes.

Days 61–90: Refine and Improve

1. Review performance. Examine search visibility, website engagement, reported lead sources, qualified inquiries, applications, approvals, and funded loans.

2. Expand successful topics. Add useful depth to subjects that attract relevant prospects and fit your business goals.

3. Refine your messaging. Adjust content that generates frequent mismatches between prospect expectations and your actual loan products.

4. Update older resources. Correct outdated information and improve articles that no longer answer the questions readers have.

5. Keep testing. AI search experiences change, so continue learning and measuring instead of treating one month’s results as permanent.

This plan is a practical framework, not a promised ranking or funding timeline. Results depend on the market, competition, content quality, lending criteria, and the consistency of execution.

Common Mistakes to Avoid When Optimizing for AI Search

1. Trying to rank for every loan product

A broad message can make it harder for prospective borrowers to understand your expertise. Start with the services and customers you can serve well.

2. Publishing content solely to insert keywords

Repeating phrases such as “AI mortgage leads” or “best mortgage lender” unnaturally can make an article difficult to read. Use relevant keywords where they accurately describe the subject, and prioritize answering the reader’s question.

3. Expecting instant results

Watson described a gradual process, with Google inquiries preceding AI referrals. His experience does not establish a universal timeline. Build a sustainable process and evaluate performance over time.

4. Ignoring lead quality

An inquiry is not the same as a qualified borrower, an approved application, or a funded loan. Track each stage of the process.

5. Neglecting local expertise

A lender may be better positioned by developing a strong presence in a defined market than by publishing generic content intended to appeal to everyone.

6. Making unsupported financial claims

Do not promise approval, guaranteed funding, specific savings, or universal eligibility. Describe loan features accurately and explain that individual underwriting and lender requirements apply.

7. Forgetting to ask how prospects found you

Without lead-source information, it is difficult to determine whether inquiries came from traditional search, AI tools, referrals, advertising, or another channel.

Frequently Asked Questions About AI Search for Mortgage Loan Officers

How can mortgage loan officers get leads from ChatGPT?

Start by making your business easy to understand online. Clearly explain your location, lending specialties, and target customers. Publish accurate, helpful content that answers real borrower questions, maintain trustworthy business information, and track whether prospects report discovering you through ChatGPT or other AI tools. There is no guaranteed method for obtaining a recommendation.

Does local SEO help mortgage lenders appear in AI search?

Local SEO can support discoverability by helping search systems understand a business’s location, services, and relevance to local searches. Accurate business details, useful local content, and clear service pages are sensible foundations. However, local SEO does not guarantee that an AI assistant will recommend a lender.

How long does AI search optimization take?

There is no universal timeline. In his interview, Al Watson said Google leads began appearing around April or May after he started in January, while AI referrals began around July or August. His results are one individual’s experience, not a benchmark that every mortgage professional should expect.

What type of content should a mortgage loan officer publish?

Create content that reflects your actual lending expertise and answers questions borrowers ask before applying. Examples include explanations of non-QM loans, DSCR financing, fix-and-flip loans, new construction financing, eligibility considerations, and local market questions. Each article should be accurate, specific, and useful to its intended reader.

Are AI-generated mortgage leads better than traditional leads?

Lead quality depends on the customer’s needs, expectations, and eligibility—not simply on the source. Watson said he viewed AI-referred prospects as promising, but also explained that some inquiries could not be funded after further review. Track qualification, application, approval, and funding outcomes before comparing lead sources.

Why should mortgage lenders focus on a niche?

A clear niche helps prospective customers understand which problems you specialize in solving. It also gives you a more focused foundation for creating educational content. A niche should reflect real expertise and products you can offer, not simply a keyword you want to rank for.

Can a mortgage lender guarantee that AI will recommend their business?

No. AI-generated recommendations depend on the system, the user’s question, the information available, and other factors that a business cannot fully control. Focus on accurate information, useful content, a clear specialty, and a strong customer experience rather than promises of guaranteed AI rankings.

Final Takeaway: Build a Mortgage Business That Is Easy to Find and Trust

Al Watson’s experience illustrates how a mortgage professional can approach AI search with patience, local expertise, focused positioning, consistent content, and disciplined lead tracking.

His reported results—approximately five to nine AI-originated inquiries per week and four to five loans funded through AI referrals since August, as discussed in the October interview—show why the channel was worth investigating for his business. They should be understood as his experience, not as a forecast for other loan officers.

The practical lesson is straightforward: define the customers you serve, explain your loan products clearly, publish information that answers real questions, and ask every prospect how they discovered you. Then measure which inquiries turn into qualified applications and funded loans.

AI search is another way prospects may discover mortgage professionals. The strongest long-term approach is to pair discoverability with accurate information, relevant expertise, and service that earns trust.

If you want to review your marketing strategy and identify opportunities to improve your online visibility and lead generation, book a one-on-one conversation.