Case study
How 10xSearch helped The Kink Team, a Woodlands, Texas real estate team, close the visibility gap with national portals and start appearing in AI-generated search results, all inside a single 45-day execution window.
By Rick Janson, JD, MBA·Founder, 10xSearch·
Executive summary
ChatGPT, Gemini, Google AI Overviews, and Perplexity now answer the queries that used to deliver clicks. For a local real estate team, being absent from those answers is the same as being invisible to a buyer who never sees a SERP.
AI assistants pick which sources to cite based on entity consistency, structured data, topical depth, and verifiable authority signals. Local teams who do not actively engineer those signals get filtered out before the answer is generated.
The findings on this page describe what was observable in public surfaces (Google, Google Maps, AI assistant responses) during the 45-day engagement. Outcomes are documented qualitatively. We do not publish proprietary client metrics.
The challenge
Zillow, Realtor.com, and HAR sit at the top of nearly every local query, backed by enormous link graphs and entity weight. A local team optimizing for the same keywords without a different game plan loses by design.
Generative search engines refuse to cite a source they cannot verify. If your entity is fragmented across the web, your reviews live in five places, and your structured data is inconsistent, the model defaults to the safer national source.
Most local real estate sites publish content for humans only. AI engines need explicit structure: schema markup, clear entity associations, topical clusters, and Q-and-A formatting that maps directly to the questions buyers actually ask.
The 10xSearch methodology
Every engagement runs through the same ten pillars. Each one maps to specific deliverables and to the signals that AI search engines weigh when deciding which sources are worth citing.
45-day execution timeline
Entity audit, knowledge graph mapping, and topical model build. We catalogued every signal Google, Bing, and the AI engines were already reading about The Kink Team and identified the gaps between what was published and what was crawlable.
Structured content rollout: location pages, neighborhood guides, market reports, and entity-aligned bio and review schema published in batches with daily indexing checks. AI-readable Q and A formatting applied across the new content set.
Active monitoring across SERPs, Google Maps, and AI assistants. We tracked when ChatGPT, Gemini, and Google AI Overviews started returning kinkteam.com as a recommended source for Woodlands real estate queries and tightened the structured data where pickup was slow.
Outcomes
Documented qualitatively. We do not publish ranked metrics or proprietary traffic data for client engagements. Each item below is observable in public surfaces (Google search, Google Maps, ChatGPT, Gemini, Google AI Overviews) during the tracking window.
kinkteam.com began appearing alongside national portals (Zillow, Realtor.com, HAR) for relevant local queries during the tracking window, where previously the team was buried beneath them.
When prompted for top-rated real estate teams in The Woodlands, TX, ChatGPT began surfacing The Kink Team in its response set, an entity-trust signal that compounds across other AI assistants.
The team moved into a leading position in Google Maps results for the Woodlands real estate cluster, tied to consistent NAP, structured data, and verified entity references across the web.
Across the 45-day window the broader signal set, mentions, structured citations, topic coverage, and crawl health, moved consistently in the right direction. We treat this as the substrate that AI engines read, not a single rank number.
Proprietary insight
IAMF is the conceptual model 10xSearch uses internally to prioritize and sequence work across the ten pillars. It weighs entity strength, topical depth, structural readiness, and AI-citation surface area to decide where the next 30 days of engineering effort should land.
Note. IAMF is an internal prioritization framework, not a public score. We reference it here so clients understand how decisions get made, not as a measurable benchmark to compare against other vendors.
Further reading on the public signals AI engines weigh: the Core Web Vitals reference from web.dev and the Generative Engine Optimization study (arXiv 2311.09735).
Leadership
Frequently asked
The Kink Team is a residential real estate team operating in The Woodlands, Texas, competing against national portals like Zillow, Realtor.com, and HAR for local search visibility and against other established local teams for AI-generated recommendations.
Per client confidentiality, we do not publish proprietary keyword rankings, traffic counts, or conversion data. The outcomes documented here are observable in public surfaces (Google search, Google Maps, AI assistant responses) and were verified during the engagement.
It is the methodology we apply to every engagement: entity clarity, intent modeling, topical authority, local relevance, AI search optimization, structured content engineering, trust signals, technical crawl health, engagement alignment, and continuous monitoring. Each pillar maps to specific deliverables and signals AI search engines weigh when selecting which sources to cite.
It can move it meaningfully, but the work is best treated as the launch phase of a longer program. AI assistants update their reference sets continuously, so visibility gained in 45 days needs to be defended and expanded with ongoing structured content and signal hygiene.
Traditional SEO targets the ranked list of blue links. AEO targets the answer itself. AEO requires content formatted for direct extraction (clear questions, scannable answers, structured data), strong entity associations, and authority signals that AI assistants treat as trustworthy enough to cite.
Schedule your AI visibility and brand audit
10xSearch is a done-for-you Answer Engine Optimization (AEO) agency that builds a media company for your brand. Book a 30-minute call and we will walk through what your current AI visibility looks like, and what 45 days of focused work could change.