We took a real estate brokerage's blog from 0 seller leads a month to 51 in July 2026. Our first articles went live in April 2025, and the brokerage's CRM started tracking blog leads in September 2025. From January through September 2026, the blog brought in 298 seller leads, about 33 a month.
Along the way, the site went from showing up in Google AI Overviews for 51 keywords (May 2025) to 420 (March 2026), and the brokerage got its first seller leads from Gemini and Perplexity.
When we started in April 2025, the blog produced no seller leads. It got some traffic, but nobody had tied it to the sales pipeline, and the brokerage barely showed up in AI answers. In May 2025, its site appeared in Google AI Overviews for 51 keywords.
The site also carried hundreds of thousands of thin pages that Google had found and refused to index.
So we set one goal for the program: seller leads the sales team could see in their CRM. Traffic would be supporting detail.
We ran 4 pieces of work at the same time.
We pointed the plan at people who have already decided to sell and need to do it fast, as-is, or for cash. We also wrote plain explainers for a selling program the brokerage already offered, and those became some of the blog's best lead sources.
Broad, early-stage posts drew clicks but rarely leads, so we moved them down the list.
We also pushed the brokerage to track blog leads in its CRM. That tracking went live in September 2025, so every lead number on this page comes from the brokerage's own sales system.
Our editors publish long-form articles every month and interview people inside the business for the details a generic article can't fake. We also refresh older posts when they slip, because a page that already brings in leads is the cheapest one to keep growing.
We surveyed 548 home sellers about how they felt about selling and published the findings in October 2025. The report earned 62 links from 24 sites. Original data is something only this brokerage could publish, which is why other sites cite it. (More on how we run content-led PR.)
Over 15 months, alongside the content work, we told Google to ignore the thin pages it wouldn't index. Pages Google found but didn't index fell from 863,323 in March 2025 to 12,222 in September 2026.
We also report AI Overview appearances and AI mentions every month next to leads, and audit the questions sellers ask AI tools to see which companies get recommended. (Here's how our AI search and SEO work fits together.)
Before we started, the blog produced no seller leads. The first month of CRM tracking, September 2025, showed 9. July 2026 brought 51, the best month so far. August came in at 33 and September at 34.
| Period | Blog seller leads |
|---|---|
| Before April 2025 | 0 a month |
| September 2025 (first tracked month) | 9 |
| September to December 2025 | 55 total |
| July 2026 (best month) | 51 |
| January to September 2026 | 298 total, about 33 a month |
| September 2026 | 34 |
The number of keywords where the site shows up in Google AI Overviews went from 51 in May 2025 to 420 in March 2026, then peaked at 476 in April 2026. It was 274 in September 2026. AI Overviews come and go from search results, so this number swings from month to month.
Mentions of the brokerage across ChatGPT, Google AI Overviews, and Google AI Mode went from 223 in October 2025 to 650 in March 2026, after a peak of 797 in February 2026. They were at 262 in September 2026.
By August 2026, Gemini had referred 3 seller leads and Perplexity had referred 1. 4 leads is a small number. We care about it more than the AI counts above, because it shows AI assistants sending this brokerage people who want to sell a house.
Report on leads first. This brokerage's AI numbers climbed fast and came back down, while the blog kept bringing in about 33 seller leads a month. If your reporting starts with traffic or AI mentions, you'll worry about dips that don't touch revenue.
Add AI tools to your CRM lead sources now. Add ChatGPT, Gemini, and Perplexity to the lead source options this week. This brokerage only knows about its first 4 AI-referred leads because the tracking was already in place.
Write for people who are ready to act. The pages that brought leads answered a specific seller situation or explained a program the brokerage already had. For a lender, that means explaining your own loan programs better than anyone else does.
Give other sites a reason to cite you. One survey of 548 sellers earned 62 links from 24 sites. Original data is hard for a competitor to copy.
About the numbers: lead counts come from the brokerage's CRM. AI Overview keywords and AI mentions come from Semrush, and indexing counts from Google Search Console. All numbers run through September 2026. We don't name clients without their written permission.
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