Here's our side.
"$100-150k to build the algorithm. $50k/month to maintain. Small realtors haven't touched the data - 4 weeks later, still haven't used it."
Data infrastructure already built. Intent signals already flowing. Algorithm already learning.
Small realtors not activating the data. Weeks pass. The algorithm waits.
We extend your algorithm into AI search - where buyers and agents already look. Per-lead Opus personalisation at record level.
Storm Sniper platform. Per-lead agent assignment. $3k/install, 15% commissions.
evergreen4life.com. 3-brand-identity problem. Audit complete.
Wholesale solar distribution. Audit in progress.
Tidalwave + Chat&Social AI verified. NMLS #1660690. Not pitching NEXA-wide.
Parent holding entity. Citation anchor role. Audit in progress.
propertymaxsaas.com. Realtor data activation. Audit in progress.
Four distinct layers. Each extends your existing algorithm investment - none replace it.
Bespoke copy from your schema at the VIN / property / realtor level. Not a template - a generated message per record.
Structure your portfolio for ChatGPT, Perplexity, Google AI Overviews. When buyers ask AI, your properties appear.
Closed-loop signal from AI citation back to your algorithm. Each AI referral trains the next intent-scoring cycle.
Future layer: micro-settlement per AI-referred lead. Aligns with your AMP commission architecture.
Each row runs through Claude Opus. Three copy variants generated per record. Best-scored variant auto-selected for send.
Every AI-referred lead trains the next scoring cycle. The loop closes the gap between citation and algorithm.
Buyer asks ChatGPT. Evergreen cited.
UTM-tagged. Source = AI citation tracked.
Lead type, source, geo logged against your schema.
AI-citation leads feed back into intent scoring. Loop tightens.
Opus generates three distinct copy approaches from a single data record. Same input, different intent angles. 20 real Orlando-zip records run live on call.
"Mark, your 2024 volume in Ocoee puts you in the top 8% of local agents. We have 340 homeowner solar signals in that exact zip no agent has touched. Want first access?"
"Mark - three agents in your zip are already in this pipeline. The data's live. Are you in or do I move to the next name on the list?"
"Mark, James at KW zip 32819 closed 4 deals from this same signal pool last quarter. You're a natural fit for the next batch. 15 minutes?"
On call: we'll run your live schema through Opus and show 20 generated records in real time. You pick the winning angle.
"Small realtors haven't touched the data. 4 weeks later, they still haven't used it."
Agents get raw data access. No AI-generated warm-up showing their specific zip signal.
When realtors ask AI "what is AMP Storm Sniper," nothing surfaces. Trust gap at first touch.
Installs not tied back to lead quality. Agents can't see whether the data converts.
Day-1 Opus personalisation shows each agent their exact zip signal. Activation rate rises.
Agents Googling or asking AI about AMP find content and structured data. Not silence.
Agents see their AI-citation referral count monthly. Retention through visible ROI.
Current score → 90-day projection. Sparkline = trajectory. Hover any cell for detail.
| Business | AI Visibility | Tech Health | Citations | GBP | Priority | Verdict |
|---|
Competitors with comparable install histories appear in every Florida solar AI query. Evergreen does not appear in any.
Google AI Overviews appear on 30%+ of local service queries. Early movers hold citation position - this window is narrow.
Consumer-facing name. No schema. No entity relationship to other domains.
Operational domain. Used for some outreach. No canonical link to Evergreen brand.
sameAs schema links both domains to one parent entity. AI treats them as one business. Citation authority consolidates.
AI models build knowledge graphs. Fragmented brand signals produce fragmented entity records. Consolidated schema = single citable entity with accumulated authority. One fix, permanent compounding effect.
Full audits completing Wed. Initial signals below from domain and entity-layer analysis.
Wholesale B2B - AI visibility strategy differs from consumer. Full audit Wed.
Corporate layer - valuable as citation anchor for sub-entities.
When agents ask AI "what is PropertyMax," there's no answer yet. Blocks AMP adoption.
NEXA has deployed real AI infrastructure. We're noting it as a credibility anchor, not a target.
You're already an AI builder. OO adds visibility and feedback loops - not fundamentals you don't have.
We haven't been able to audit AMP's internal structure - no public surface to scrape. If you're comfortable doing a quick screenshare, we can give you a live entity-gap read in real time.
Completely optional. One line answer either way is fine.
Monthly retainer. AI visibility for Evergreen Solar. Schema, citations, monitoring, attribution. OO owns delivery.
Per-agent personalisation copy at sign-up. OO generates Opus copy per record, delivered via API or batch.
Joint campaign targeting solar-intent homeowners and active realtors via AI-indexed content. OO runs traffic, Al provides data layer.
Full portfolio AI strategy across all 5 businesses + AMP. Delivered 2026-05-02. One-off engagement.
nextouthalf@gmail.com
Schema already drafted from the audit. We could go live 48 hours after green light.