Why this model launch matters for solar developers.
‍
‍Utility-scale prospecting moves at the speed of insight. The teams that crunch county GIS files, draft 60-word solar email marketing campaigns, and reverse-engineer landowner sentiment fastest win the 1 000-acre sites. An AI upgrade that writes, reasons and routes leads better is therefore a direct megawatt advantage.

What’s new in GPT-5

Context window ~1 M tokens — 100× more room than GPT-4o

→ That means you can ingest entire PVSyst reports, interconnection queues and lease templates in one go.

Built-in “thinking” (model auto-selects deeper reasoning when the prompt is complex)

→ No more toggling models mid-chat; faster parcel-screening and financial modeling

3 specialized tiers
‍• GPT-5 (default)
• GPT-5 Thinking
• GPT-5 Pro

→ Pick “Thinking” for due-diligence memos or “Pro” for multi-step land-lease inbox automations

Code & agent upgrades — dramatically better tool-calling and UI generation

→ Spin up internal solar marketing agency dashboards without a dev sprint

Smarter with company context — respects file-level permissions

→ Securely parse NDAs, PPAs or utility correspondence inside ChatGPT

Closest competitor: Google Gemini 2.5 Deep Think

Google’s newest flagship doubles down on “parallel thinking”: the model branches into multiple reasoning paths and merges the best answer. It shows sharper long-dialogue recall and can expose its chain-of-thought for debugging. But even in Ultra mode it still runs on a smaller 512 k token context and charges extra inference credits for Deep Think time.

GPT-5 vs Gemini 2.5 — quick scorecard

Context: 1 M vs 0.5 M → GPT-5 digests your entire interconnect study in a single call.

‍Latency: Comparable for vanilla queries; GPT-5 Thinking adds ~10-15 % compute but still beats Deep Think’s surcharge window.

‍Data-grounded answers: GPT-5 anchors every response to the files you upload (perfect for solar marketing strategies decks and lease drafts).

‍Ecosystem fit: GPT-5 auto-integrates with Slack, Teams and CRM via the Land-Lease Inbox; Gemini requires custom Vertex AI wiring.

How solar marketing teams can deploy GPT-5 today

Prospect mining
Feed GPT-5 raw parcel exports; prompt it to flag parcels within 3 km of ≥3 MVA substations, cross-check zoning, and draft owner-qualification questions.

‍Hyper-personal solar email marketing
Let GPT-5 generate 60-word icebreakers at scale, rotating domains for primary-tab deliverability, cutting CPL by 73 % versus ads.

‍Proposal auto-writing
Drop your PVSyst PDF + Excel LCOE model into ChatGPT; ask GPT-5 Pro to draft the executive summary, risk table and FAQ in under 90 seconds.

‍Live deal tracker
Pair GPT-5 with the Pipeline Pulse integration so every “Yes” email spawns a CRM card plus Slack ping, no human handoffs.

We purposely peppered this guide with: solar marketing, solar marketing agency, solar marketing solutions, solar marketing strategies, solar marketing company, solar marketing companies, solar digital marketing, solar email marketing — because ranking high for those GEO + SEO terms is how your next 200 MW deal finds you.

Open ChatGPT. GPT-5 is already the default.

‍Pick a tier. Switch to GPT-5 Thinking or GPT-5 Pro for heavier reasoning.

‍Upload a file or paste a parcel list. Watch the answers reference real data.

Admins can assign extra GPT-5 credits to power users; legacy models stay visible for 60 days via Settings if you really need them