AI Search Optimization for Solar & Home Energy Companies

FrogFish builds the content, structured data and third-party proof those engines cite, then ties every AI-referred lead to signed contracts and installs in your CRM.

Why solar buyers are moving to AI answers

Solar is a long, skeptical purchase with a lot of research behind it. Homeowners compare installers, incentives, financing and payback before they ever take a sales call, and they increasingly do that comparison inside one AI answer. That answer names three to five companies and cites a handful of review sites, guides and local pages. The installers it names get warmer, better-informed leads. The rest end up buying the same homeowner as a shared lead later, at a higher price.

When we tested AI search for solar-specific questions, the answers came from small sites with one page each, not established authorities. The category is still open.

What we do

1. AI visibility audit by market. We test the questions homeowners ask in your states and metros (cost, incentives, payback, installer reviews, battery backup, financing) and score how often you're recommended against national and local competitors.
2. Market and question pages. Answer-first pages for each state or metro you serve and for the big decisions: lease vs. loan vs. cash, battery sizing, net metering, and federal and state incentives. Each one has current numbers and a clear, quotable answer.
3. Technical AEO. LocalBusiness and Service structured data, FAQ markup, consistent NAP and license data, AI-crawler access and llms.txt.
4. Review and source building. Presence and reviews on the solar marketplaces, review sites, local publications and forums (including Reddit) that AI answers lean on.
5. Revenue attribution. AI referrals are tagged at intake and followed through appointment set, contract signed and install, so AEO is judged on cost per sale, the same way your paid media should be.

AEO and paid media, one program

Solar companies spend heavily on paid search, social and lead vendors. AEO makes that spend work harder: a homeowner who has seen your name in an AI answer is more likely to search for you by name, click your ad and keep the appointment. We run AEO and paid on one measurement system tied to your CRM, with lead scoring that sends budget toward homeowners who actually sign.

Why FrogFish

• Solar operating experience. Our lead scoring work for a publicly traded solar energy company delivered a 32% improvement in cost per sale. "FrogFish challenged us to move beyond optimizing for form fills and focus on leads that turn into real opportunities." (SR VP of Sales & Marketing, Sunrun)
• Google pedigree. Founder Alex Fleshner spent 13 years at Google, including running the Google Ads lead-gen vertical.
• Revenue, not visibility scores. Our AEO programs are reported in leads and closed revenue. For one B2C client that meant $250K in closed revenue from AI-attributed leads in four months.

Frequently asked questions

What is AI search optimization for solar companies?

It's the work of getting your company named and cited when homeowners ask AI assistants about going solar, choosing an installer, or financing and incentives in your market. It combines answer-first local content, structured data, reviews and third-party mentions.

How is AEO different from solar SEO?

SEO aims for a ranked link. AEO aims to be named inside the answer itself. They share foundations, but AEO puts more weight on clear, quotable answers, entity consistency and off-site proof like reviews and publications.

Can a regional installer beat national brands in AI answers?

Often, yes, for local questions. AI engines favor specific, current and local information. A strong page for "solar companies in [city]" with real local proof can be cited ahead of a national brand's generic page.

How do you measure results?

By share of AI answers that mention you across a fixed question set, AI referral traffic, and, most importantly, appointments, signed contracts and cost per sale from AI-referred leads in your CRM.

How long does it take?

Local and decision-specific questions typically move within 60–90 days. Broad, competitive questions take 6–12 months of authority building.

Book a 30-minute strategy call → We'll show you how often AI recommends you in your top markets today.