Anonymous mortgage client results

Tampa Mortgage SEO Case Study: Search and AI Results

This Tampa mortgage SEO case study shows how an existing broker website gained search visibility after I took over on August 31, 2026. The reports show more Google clicks, more impressions, and a better average position. The broker’s name and website address are kept private.

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Quick Summary
  • An existing mortgage website, with a clear work-start date and a measured search baseline.
  • Search results and Google AI visibility are shown separately. Neither report is a count of leads or closed loans.

An existing website, not a new launch

I began work on this mortgage website on August 31, 2026. To show the starting point, I compared the 28 days before that date with a later, complete 28-day period. Both use Google Web search data from the same website.

My goal is to help people who are looking for mortgage answers find useful pages and a clear way to ask for loan help. These reports measure the search part of that goal. They do not tell us which individual change caused the growth.

Google Web search results

More search visibility and website visits

The site earned 143 Google clicks in the later 28-day period, compared with 127 before I took over.

Site-level Google Web search comparison
Measure Earlier 28 daysAugust 3–30, 2026 Later 28 daysSeptember 18–October 15, 2026 Change
Google clicks127143Up 13%
Search impressions22,18336,492Up 65%
Average search position32.614.6Lower is better

An impression means a link appeared in search results. A click means someone followed a search result to the website. Average position improved from 32.6 to 14.6 across the report; this does not mean every page or keyword ranks in the same place.

See page examples and how the numbers were checked
  • 2-1 buydown calculator: 1 → 17 clicks
  • DSCR calculator: 0 → 9 clicks

The calculator pages also drew more search clicks in a separate comparison: August 21–September 17 versus September 18–October 15. The first window overlaps the start of my work. These page results show interest in useful tools, not how many people requested a loan.

Source: Google Search Console data retrieved through Windsor.ai. Site totals were checked against daily rows. Average position is weighted by impressions and rounded to one decimal place. Page totals use a different counting method and should not be added to site totals.

Google generative AI results

More visibility in Google’s AI search features

The supplied Generative AI report shows 6.86K impressions in its “Last 3 months” window, compared with 1.53K in “Previous 3 months.” That is about 4.5 times as many impressions, using the rounded numbers shown.

Anonymous client Generative AI report: 6.86K impressions in the latest three months versus 1.53K in the previous three months
The latest three-month window includes time before my August 31 takeover. This is a website-level comparison, not a claim that I produced every impression in that window. It is separate from the 28-day SEO comparison above.

An AI impression means a link to the site appeared in a Google AI search feature. It is not a website visit or a new lead. The report covers features such as AI Overviews and AI Mode, not ChatGPT. Google includes this visibility in the overall search report, so the two impression totals should not be added together.

How Google explains its generative AI reports

What this means for your website

For a loan officer, the useful lesson is that program pages and tools can give people a reason to visit. Pair those answers with a clear request for personal help. More search exposure creates more chances to be considered, but it does not prove more leads or funded loans.

These results describe one client. They are not a forecast for another business. See the work available through mortgage broker SEO services or AI search visibility services.

Want a clearer plan for your mortgage website?

Send your website, market, and loan programs. I’ll check availability and discuss which pages or tools could help your buyers. Tim works with one mortgage client per city.

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