Cindy Kelly Real Estate

Inside the first ninety days ofour SEO and AI SEO program, Cindy secured a $3.5 million Kirkland condo listingfrom a seller who found her organically through a ChatGPT search.

client review

n5 mETHOD

Competitive Analysis
Keyword Research
SEO
AI SEO
LLM Optimization

PROJECT URL

cindykelly.com

the n5 difference

“Thanks to N5’s SEO and AI SEO strategy, our visibility in the Eastside luxury market changed dramatically. Within the first ninety days, we secured a $3.5M Kirkland listing from a seller who found us through ChatGPT. The work positioned us in front of the exact buyers and sellers we wanted to reach.”

149%
Increase in organic clicks in 6 months
$3.5M+
Luxury listing sourced through ChatGPT
153
Indexable pages optimized across the site
369%
Growth in organic sessions

The Context

Cindy Kelly leads a Compass affiliated luxury real estate team based at the Totem Village office in Kirkland, Washington, serving the Eastside of the Greater Seattle market. The Eastside (Kirkland, Medina, Bellevue, Sammamish, Snoqualmie, Redmond, and out to the surrounding submarkets) is one of the most valuable residential corridors in the Pacific Northwest. Tech wealth from Microsoft, Amazon, and the broader Seattle technology economy concentrates here. Kirkland in particular has become a premier address for new wealth that wants water access, walkable downtown, and proximity to the Eastside corporate campuses.

Cindy and her team carry over forty years of combined experience in the Eastside and Greater Seattle market. The active listing book ranges from roughly $1.3 million through $5.7 million, with concentration in Kirkland waterfront, Medina, Yarrow Bay, and the West Bellevue corridor. The credentials, the closed transactions, and the local relationships were already in place when we started working together. What was missing was a digital footprint that matched the depth of the market knowledge. Cindy's Eastside expertise was not visible on Google. Her Kirkland specialization was not visible to AI assistants. New sellers and high net worth buyers researching the Eastside online were not finding her.
We came in to fix that.

The Flagship Outcome

A $3.5 million Kirkland condo listing secured organically from a seller who found Cindy through ChatGPT inside the first ninety days of the program. To our knowledge, this is one of the first publicly attributable luxury real estate listings sourced through an AI assistant in the Pacific Northwest. The economics of one listing of this size pay for the SEO and AI SEO program many times over.

The Challenge

The Eastside luxury real estate search market is competitive. Zillow, Realtor.com, Redfin, and a handful of established luxury brokerages dominate the head terms. The brokerages affiliated with Sothebys, Christies, Compass, and Coldwell Banker Global Luxury all have decades of organic authority. Beating them on "Eastside luxury homes" was not the goal. Beating them on the queries that matter to Cindy's actual buyer and seller audience was.

Three things had to happen.

First, Cindy needed neighborhood and search hub pages built across the Eastside that captured the local SEO universe. Buyers and sellers research by neighborhood and submarket: Lakemont, Bridle Trails, Houghton, Yarrow Bay, Juanita, downtown Kirkland. Each needed depth.

Second, Cindy needed AI search visibility. Sellers of three million dollar plus properties are increasingly asking ChatGPT, Perplexity, and Google AI Overview to recommend the best luxury agent in their market. The answers cite a small number of sources. We needed Cindy to be one of them.

Third, the work had to compound. SEO is a six month minimum proposition before it really shows up. AI SEO can move faster but requires the foundational work to support it. The early months had to set up the later months for everything to compound rather than scatter.

The Approach

The engagement covers five workstreams. Two were scoped at the start of the relationship as foundational work: Competitive Analysis and Keyword Research. Three run on an ongoing monthly cadence: SEO, AI SEO, and LLM Optimization. The foundational work scoped the strategy. The ongoing programs execute against it. Done correctly, the work compounds, and Cindy's results over the first six months suggest that is exactly what is happening.

Competitive Analysis

Before any content went live, we ran a competitive analysis across the Eastside luxury real estate search market. The brief was specific: identify the brokerages, individual agents, and aggregator sites currently ranking on the queries that matter for Cindy's actual buyer and seller audience, score each on domain strength and content depth, and map out where the ranking gaps actually live. The output framed the strategy for everything that followed. Trying to outrank Zillow on "Kirkland luxury homes" is a losing fight. Outranking specific agents on neighborhood and lifestyle queries is winnable, and we knew exactly which ones.

Keyword Research

The keyword research mapped the Eastside luxury real estate query universe end to end. Neighborhood queries (Lakemont, Yarrow Bay, Houghton, Juanita, downtown Kirkland), lifestyle queries (waterfront, view, mid century architecture, coffee shops, dining, schools), market queries (property taxes, home value, market trends), and buyer intent queries by price tier and property type. The research produced a prioritized content roadmap covering the first nine to twelve months of the engagement and gave Cindy clear visibility into which queries were worth chasing and which were not.

SEO

Phase one focused on building out the Eastside foundation. Neighborhood pages and search hubs across Kirkland, Bellevue, Mercer Island, Redmond, and Sammamish. Blog content tied to local lifestyle, market analysis, and the supporting structure that gives Google clear semantic signals about what Cindy specializes in. The content was written around the queries Cindy's actual buyer and seller audience runs, not generic "homes for sale" searches.

Phase two pivoted to Kirkland depth. Kirkland is where Cindy's expertise is strongest, and the search universe rewards specialization. Coffee shops, dining, waterfront lifestyle, neighborhood guides, market commentary. Pages built specifically around the lifestyle research a buyer or seller runs before they pick an agent.

Phase three (this month) shifted to making every existing page work harder. A full metadata audit touched all 153 indexable pages, with 95 meta description rewrites and 67 title tag rewrites. Every search listing in Google now leads with the right primary keyword in the first 60 characters and ends with a compelling reason to click.

AI SEO

The AI SEO foundation was built alongside the SEO foundation from day one. Schema markup across the site (LocalBusiness, RealEstateAgent, Place, RealEstateListing types) so AI assistants can extract Cindy's business information accurately. Content structured for extractive answers, with named entity rich responses to the questions a buyer or seller actually asks an AI assistant. Citation building through earned coverage and consistent business information across the directories AI models reference during training.

The single biggest outcome from this workstream was a $3.5 million Kirkland condo listing that came from a seller who found Cindy through a ChatGPT search inside the first ninety days of the program. The seller asked ChatGPT for recommendations on Kirkland luxury agents. ChatGPT named Cindy. The seller reached out. Cindy listed the condo. This is the kind of attribution that almost nobody in real estate can yet produce. We can, because we built the citation pathway deliberately.

LLM Optimization

LLM Optimization layered on top of AI SEO to extend Cindy's presence across the AI search environment over time. Where AI SEO focuses on getting Cindy cited in real time AI responses, LLM Optimization focuses on the slower moving game of getting Cindy referenced in the source material that future model updates train on. That includes content production designed to be cited by lifestyle press and trade publications, structured data updates as schema standards evolve, and ongoing monitoring of citation share across ChatGPT, Perplexity, Claude, and Gemini.

The Outcome

The numbers below compare the most recent three months (February through April 2026) against the previous three months (November 2025 through January 2026). The data is pulled directly from Google Search Console and Google Analytics on Cindy's site.

Google Search Console


Total clicks: 668 versus 268, up 149 percent Total impressions: 81,900 versus 34,900, up 135 percent Average ranking position: 11.4 versus 17.9, an improvement of 6.5 spots Click through rate: holding steady at 0.8 percent, with the April metadata work expected to lift CTR over the next reporting period

Google Analytics organic traffic


Organic sessions: 657 versus 140, up 369 percent Engaged sessions: 376 versus 80, up 370 percent Engagement rate: holding steady at 57 percent, indicating quality traffic Event count: 3,009 versus 676, up 345 percent

Page level wins


Cindy's "Lowering Property Taxes in Washington" post moved from outside the top 15 to position 10.8, a 600 percent increase in clicks The Kirkland coffee shops post grew 738 percent in clicks at position 8.3 The MCM architecture blog post ranks at position 8.3, with the underlying "mcm architecture" keyword ranking at position 5.1 "Seattle Tech Boom and Real Estate" debuted at position 5 "Skyline Views in Bellevue" reached position 8 with 250 percent growth The branded "Cindy Kelly" query now ranks at position 4

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