📈 Version 2 — Updated with Council of 5

Marketing Strategy Implementation

Own the category "Pre-Application Intelligence" in organic search, AI engines, and industry mind share — while building three compounding product advantages that no competitor can replicate without the same deal volume.

⚠ Validate Before You Build

Interview 5–10 real estate investors before touching any of the below. Ask:

"How do you describe your problem when you need to know if a deal will get approved?"
"What would you search online if you wanted certainty before applying for a loan?"
"What was the last thing you didn't know about a deal that cost you time, money, or the deal?"

Map H1s, meta descriptions, and remediation language to their exact words. If they don't say "Pre-Application Intelligence," your SEO targets need to reflect what they actually say.

Now 0 – 60 days

Foundation: Two parallel tracks — start simultaneously

Track A · Technical SEO

Search Presence & Landing Pages

①

Homepage Copy Update

Within first 100 words, answer "What is Pre-Application Intelligence?" — define it, don't assume the reader knows.

②

/dscr-deal-analyzer

H1: "DSCR Deal Analyzer: Know If Your Deal Pencils Before You Apply"

→ dscr deal analysis tool · dscr calculator for real estate investors

③

/capital-readiness-score

H1: "Capital Readiness Score: Your Deal's Fundability Rating"

→ will my real estate deal get approved · loan readiness score

④

/deal-fundability-analysis

H1: "Deal Fundability Analysis: AI-Powered Pre-Application Review" — must surface Remediation Output when deal fails. Not complete without it.

→ deal fundability analysis · pre-application deal review

⑤

/ai-lender-matching

H1: "AI Lender Matching: Find Lenders Who Will Actually Fund Your Deal"

→ find DSCR lenders · AI lender matching real estate

⑥

/what-is-pre-application-intelligence

Structured Q&A for AI snippet capture. Every other page must link here with anchor text "Pre-Application Intelligence."

⑦

/llms.txt (root)

Declares Underlytix to AI crawlers: category, primary use case, products. Signals the entity to ChatGPT, Perplexity, Gemini.

⑧

Schema Markup (all pages)

SoftwareApplication + FAQPage on every landing page. Internal linking rule: every page links to /what-is-pre-application-intelligence.

Track B · Product Data Infrastructure

Strategic Moat — Starts Day 1, Never Stops

Deal Outcome Capture

Supabase table: deal_outcomes — deal_id, funded (bool), lender_name, actual_rate, actual_ltv, actual_dscr, source.

Automated email/in-app prompt at 30 days post-analysis. Gate remediation confidence scores until 50+ outcome records.

Remediation Output Engine

When deal fails: return criterion, current_value, required_value, gap, and 2–3 concrete remediation paths with specific numbers. Handle multi-criterion failures ranked by severity.

Must surface on /deal-fundability-analysis. Page is incomplete without it.

Lender Criteria Versioning

Supabase table: lender_criteria_versions — never overwrite rows, always insert with new effective_date. This is a versioned log, not a current-state table.

Update manually monthly. Architecture matters more than automation at this stage.

Next 60 – 120 days

Data Assets + Product Expansion

Unlocks only after: outcome capture live, remediation deployed on /deal-fundability-analysis, lender versioning has 90+ days of entries.

Product

UX + Intelligence Expansion

→

Deal Comparison View

Run 2–3 deals simultaneously — fundability scores, lender matches, remediation paths side by side. Highest-value UX after remediation engine. Do not build until single-deal remediation is working.

→

Investor Profile Layer

Persistent deal history and capital deployment patterns. Every analysis references prior deals. Requires outcome data — do not build without it.

→

Event-Driven Notifications

"Lender X tightened DSCR requirements. Your saved deal #4 no longer qualifies." Retention mechanism that doesn't require users to return unprompted. Requires lender criteria versioning.

Content & Data Reports

Authority Assets Built on Real Data

📄

Florida DSCR Trends Report

PDF + /florida-dscr-trends-report. Aggregate anonymized deal data, approval rate proxies from outcome data, lender criteria changes from versioning. Gate: email capture. Do not publish with synthetic data.

📊

Investor Fundability Index

Quarterly benchmark at /investor-fundability-index. Capital Readiness Score distributions, most common remediation paths, lender criteria movement. "The only benchmark for pre-application deal quality in South Florida."

🏗

Fix & Flip Capital Report — South Florida

/fix-flip-capital-report-south-florida. Avg LTV funded (from outcome data), lender preferences by deal size, rehab budget benchmarks.

Later 120 – 240 days

Authority + GEO + Lender Appetite Intelligence

Begins only after at least one data report is live with real underlying data.

Lender Appetite Intelligence

The Proprietary Data Product

▸

/lender-appetite-index

Once versioning has 6+ months: "DSCR minimums across South Florida lenders have increased 0.08 pts since Q1." Press-worthy. Phase 3 hook for outreach and podcasts.

▸

Outreach Sequence

1. FL DSCR Report → South Florida Board of Realtors for co-branding. 2. Miami Realtors newsletters — pitch findings, not features. 3. DSCR/private lending podcasts — lead with outcome accuracy data. 4. CRE guest posts — link to report pages.

▸

AI Engine Optimization (GEO)

Monitor brand mentions in ChatGPT, Perplexity, Gemini monthly. Co-citation target: every external publish uses "Underlytix, the Pre-Application Intelligence platform." Increase structured Q&A on /what-is-pre-application-intelligence if not appearing.

Do Not Build Yet

Explicitly Deferred

Blog posts

Thin, slow, low ROI without domain authority.

Social content calendar

No category-defining content to distribute yet.

Podcast appearances

No data hook until reports are live with real data.

PR outreach

Hook is the Lender Appetite Index or Fundability Index. Build those first.

Exit strategy modeling

Phase 3+ at earliest. Significant data modeling + investor education required.

⛓ Sequencing Dependencies (Hard Gates)

Outcome Capture live →50+ records→Remediation confidence scores enabled →90+ records→Fundability Index publishable →180+ records→Accuracy claims in marketing copy

Lender Criteria Versioning live (Day 1) →90 days→Lender match annotations in UI →180 days→Lender Appetite Index publishable →360 days→Lender Appetite Intelligence as press-worthy data product

Remediation Output deployed →Deal Comparison View buildable →Event-Driven Notifications buildable →Investor Profile Layer meaningful

Data Reports live with real data →Phase 3 outreach begins →Podcast pitches credible →PR angles viable

Effort Allocation

Revised Priorities

Bucket	Alloc	Window
Validation	35%	0–60d
Technical SEO + Remediation	30%	0–90d
Data Infrastructure	20%	Ongoing
Data Asset Reports	10%	60–120d
Authority / PR	5%	120d+

Original framework had 30% authority, 10% content. Those proportions are inverted from what this stage requires. You cannot borrow credibility you haven't earned.

Unvalidated Assumptions

Risk Register

"Pre-Application Intelligence" resonates

● HIGH RISK — Validate phrase before committing SEO to it

Target users search for this problem online

● HIGH RISK — If they call a broker first, SEO is an 18-month play

Investors will self-report deal outcomes

● MED RISK — Consider incentivizing with free analysis unlock

Sufficient deal volume for credible reports

● MED RISK — Synthetic data damages credibility permanently

Remediation paths accurate enough to trust

● MED RISK — Gate confidence scores behind 50+ outcome records