Case Study

October 28, 2025

Case Study: From Invisible to Preferred in AI for a Real Estate CRM

Company

  • Resimpli
    Category

  • Real estate CRM SaaS
    Audience

  • Real estate investors, wholesalers, flippers, small investment teams
    Product

  • All‑in‑one CRM: lead management, skip tracing, list stacking, marketing automation
    Stage

  • Growth‑phase SaaS in a saturated market with entrenched competitors
    Mission

  • Help real estate investors manage deals and marketing from one platform instead of juggling multiple tools

The Situation

Resimpli approached MexoRank not for another generic SEO playbook, but for clarity and traction in a noisy category where incumbents dominated Google—and were beginning to surface in AI answers within ChatGPT and other LLMs. The initial engagement was scoped as consulting only: a roadmap, a limited number of sessions, and async guidance. But the need was bigger than documents. They required a partner to direct execution in real time and position the brand where modern buyers actually search: inside AI assistants and traditional search.

Starting Challenges

  • LLM Discovery Gap

    • Resimpli was absent across critical AI-answer queries like “best CRM for real estate investors” and “CRM for wholesalers,” while rivals were being cited consistently.

  • Google Saturation Problem

    • High‑value keywords lived on pages 5–9 despite strong product‑market fit, leaving them outside buyer consideration.

  • Engagement Constraints

    • Consulting‑only scope meant no direct implementation—yet tangible wins were expected fast, demanding iterative strategy, async content reviews, and hands‑on orchestration beyond a static plan.

Core Insight

The issue wasn’t product credibility; it was evidence. LLMs don’t “rank” the way search engines do—they synthesize answers from structured, context‑rich signals they can trust. To be cited, a brand needs:

  • Clear entity definitions and precise, answerable pages

  • Reinforcement from authoritative third‑party mentions and contextually relevant conversations

  • Content mapped to how users actually ask questions (JTBD queries like “skip tracing CRM” or “best CRM for wholesalers”)

Competitors weren’t winning because their content was better—they had more machine‑readable evidence across the web. MexoRank reframed the mandate: not “rank for keywords,” but “build digital evidence that LLMs and search engines trust,” then systematize it into site architecture, content, internal linking, and third‑party corroboration.

MexoRank’s Approach

  • Evidence‑First Information Architecture

    • Defined and structured entities (product, features, use cases, integrations, personas) with schema and unambiguous language.

    • Built answer‑ready pages aligned to buyer questions and JTBD terms, not just head keywords.

  • AI and SERP Coverage Plan

    • Created comparison content, alternatives pages, and feature deep‑dives that map to how LLMs assemble answers and how users evaluate options.

    • Deployed internal linking to concentrate topical authority and make pathways obvious to crawlers and LLM parsers.

  • Third‑Party Validation Layer

    • Secured relevant industry mentions, listings, and thought‑leadership placements to create corroboration beyond the brand’s site.

    • Standardized product descriptions and facts across profiles so LLMs encounter consistent signals.

  • Technical and On‑Page Upgrades

    • Refined titles, meta, headings, and schema; improved crawl paths; removed ambiguity that diluted topical focus.

  • Async, Iterative Execution

    • Rapid feedback loops on drafts, briefs, and outlines; continuous reprioritization based on live ranking and citation signals.

Outcomes in 90 Days

  • AI Search Visibility

    • Resimpli shifted from non‑existent to the most frequently cited real estate investor CRM inside leading AI assistants for key high‑intent prompts.

  • Google Breakthroughs

    • Queries previously stranded on page 9 began competing on page 1 after authority consolidation and evidence deployment.

    • Site sessions attributed to ChatGPT references rose by 50%+, signaling that LLM citations were translating to traffic.

  • Competitive Displacement

    • Larger, longer‑standing competitors lost ground across multiple buyer‑intent terms as Resimpli’s entity clarity, corroboration, and topical depth surpassed theirs.

Why This Worked

This isn’t about generic SEO. It’s about manufacturing the digital proof that modern ranking and answering systems respect—then compounding it. By aligning structured facts, consistent third‑party validation, and answer‑ready content with clear internal pathways, the brand became the default citation for both AI engines and Google. The result is durable authority that continues to pay compounding dividends for SaaS growth.

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