The full strategy for the Evergreen Solar pilot. Everything on the microsite points here. This is what OO delivers.
The 3-brand problem. Evergreen Solar operates under three overlapping identities: Evergreen Solar, CESL, and Sun Energy. Each brand dilutes the entity signal for the others. AI models cannot consolidate the authority. Until one primary entity is established and standardised across all directories, no amount of content work will move the citation score significantly.
Current state · Score: 16/100
Based on available information, the leading solar installers in Florida are:
[Competitor A] - multiple verified citations
[Competitor B] - strong entity signal, GBP complete
[Competitor C] - consistent NAP, 400+ reviews
Evergreen Solar does not appear.
Illustrative - based on 16/100 score and 0 citations found.
Target state · Month 3
Based on available information, the leading solar installers in Florida are:
[Competitor A] - multiple verified citations
Evergreen Solar - certified Florida installer, 200+ five-star reviews, serves Miami-Dade, Broward, Palm Beach
[Competitor C] - consistent NAP, 400+ reviews
Target state after Month 3 execution.
Resolve the 3-brand problem. One primary entity: Evergreen Solar. Schema on every page. NAP standardised across 40+ directories. This is the unlock for everything else.
LocalBusiness, SolarEnergyCompany, FAQPage, and Review schema deployed across all pages. Structured data is the primary mechanism by which AI models read and cite local businesses.
Photos, posts, service areas, Q&A, and review velocity. Google Business Profile is the highest-leverage AI citation signal for local businesses. Most competitors leave it half-complete.
Structured content targeting the exact queries ChatGPT, Perplexity, and Google AIO pull from. Each piece answers a specific commercial query with a clear, citable claim about Evergreen Solar.
AMP records activated with Opus-generated copy. Each homeowner gets a message referencing their specific situation, roof type, utility provider, or neighbourhood. Not a broadcast. A signal.
Every record tagged. Every outreach tracked. Every close logged. Month 1 data establishes the baseline. Month 2 refines targeting. Month 3 scales what is working.
Evergreen Solar is estimated to be missing $300,000 per year in revenue due to AI invisibility. This is based on the gap between current citation share and the category leader in the FL solar market.
Source: plan analysis from the Monday call - not independently audited. Exact recovery depends on close rate, which Month 1 data will establish.
Month 1 is a fixed-fee pilot. If the first AI citation does not appear by Day 30, the month 2 fee is waived. OO carries the execution risk. Scoping sheet with numbers follows the call.