AI tools for your solar installation business — what works, what it costs, and how to start.

For solo installers, owner-operators, and crews from 1 helper to 20 trucks doing residential rooftop and light commercial PV. The biggest win for most shops: quote a job the same day the lead comes in. A satellite-quoting tool pulls the roof from an aerial image and an address and drafts a real proposal in under 30 minutes, so the homeowner isn't still waiting three days later when the next installer calls them back. From there you can add financing options inside the proposal, utility interconnection tracking, and post-install monitoring. Set it up yourself in two weeks, or hire a local consultant to do it for you.

What it costs: a small-crew setup runs about $248/month — Quo ($19) + QuoteIQ ($30) + Aurora Solar ($199). Aurora Solar starts at $199/user/month for the residential plan. Most tools have a free trial. See full pricing →

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The short version

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  • Not just an AI tool list — we can connect you with local professional AI help. Beyond the tools below, this directory connects you with a local AI consultant who works with solar installers, to set the tools up for you: software plus hand-delivered local setup. So you have a choice — take a shot at DIY, or just use our system to find help. Note: We have no financial relationship with any pro we refer you to. See the local AI consultants near you →
  • 4 AI categories matter for solar installers in 2026: satellite site-survey and quoting, financing options inside the proposal, utility interconnection and permit tracking, and post-install monitoring with customer follow-up.
  • The small-crew setup: Quo ($19) + QuoteIQ ($30) + Aurora Solar ($199) = $248 a month combined. Set up over two weekends.
  • Aurora Solar starts at $199 per user per month for the residential plan. Built for installers who design from satellite and want financing options shown in the proposal. The Enterprise plan for commercial PV is custom-priced.
  • 3 tools (Quo, QuoteIQ, Jobber) work across 15-17 of 17 trades. Per The Agentic AI Index tools.json feed, "Quo and QuoteIQ each appear in all 17 trade-specific tool lists; Jobber appears in 15 of 17." For solar-specific design and proposals, Aurora Solar or Enact sits on top of the shared tools.
  • Most painful problem to fix first: the lag from lead to first proposal. A homeowner who waits 3 days for a real quote calls the next installer down the list. Satellite-based quoting from Aurora Solar or Enact cuts that to hours.
DON'T want to set this up yourself? Tell us your zip code and biggest pain. We will match you with a local AI consultant near you who can set these tools up for your business. Free to you.
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Common questions

What do solar installers actually ask about adding AI?

The questions solar installers actually ask AI about adding tech to the business, answered first.

Can AI really quote a solar job from a satellite image and an address?

Yes, for a usable first draft. Aurora Solar and Enact pull the roof model from satellite imagery, run shading analysis from solar irradiance data for that address, and generate a system size, production estimate, and quote in under 30 minutes — no truck roll. The first draft is accurate enough to send to the homeowner and book the in-home site visit. The crew still confirms roof condition, electrical room space for the inverter, conduit run, and the main service panel rating before the contract is signed. The win is sending the homeowner a real quote the same day they fill out the form instead of three days later.

Can AI estimate array size and production from a roof image, and what does a human still have to verify?

It gets you a solid design draft fast, but a few things stay on the crew. Aurora Solar and Enact read the roof from satellite or aerial imagery, lay out panels on the usable planes, run the shading model from the address, and spit out a system size and a yearly production estimate in kWh. That's enough to send a proposal and book the site visit. What the software can't see from space: the real shading once the trees leaf out, the roof's structural condition and whether it needs a re-roof first, the rafter spacing and attachment plan, and — the big one — the main service panel's busbar rating, which decides whether the array even fits without a panel upgrade or a line-side tap. A field tech confirms all of that before anybody signs. Treat the AI design as the draft that gets you in the door, not the final engineering. Find a local AI pro if you want the quoting tool dialed in to your typical roof types and utility territory.

What financing options should an AI quoting tool show the homeowner?

Cash, loan, and PPA or lease — with at least two lenders on the loan side. Most residential solar sells on the monthly payment, not the total system price. The proposal tool should pull live rates from GoodLeap, Sunlight, Mosaic, Sungage, or Dividend (these five cover most residential solar lending in the US), show the qualifying monthly payment next to the cash option, and let the homeowner pick on the spot. Cash close rates are decent; financed close rates with a side-by-side comparison are markedly higher. One thing the software shouldn't do is promise a tax outcome: whether the homeowner can actually use the federal residential clean-energy credit depends on their tax situation, so the proposal should flag "check with your CPA" rather than bake a credit into the savings math as if it's guaranteed.

Can AI handle the utility interconnection paperwork?

It handles the tracking, the document packages, and the reminders. The actual submission is still you and your office manager working the utility portal. Solar CRMs (Bodhi, Scoop, Solar Pro Tool) store per-utility application templates — PG&E, Duke, Dominion, FPL, Xcel, the rural co-ops — and tell you what each one needs before you start. Some tools can also read a homeowner's utility bill to pull the account number, rate schedule, and 12-month usage that the interconnection app and the proposal both need, so nobody's retyping it. They also fire reminders when the utility takes 6 weeks instead of 4 so you catch the silence before the homeowner does. Most utilities still need manual portal submission; a handful in larger states have direct API integration. Find a local AI pro to load your utility territories' templates and wire up the reminders.

Residential rooftop or commercial — which AI tools fit each?

Residential is the easier match. Aurora Solar, Enact, and OpenSolar all model residential rooftop accurately from satellite imagery and run on per-user pricing that a 1-5 crew shop can afford. Commercial PV — flat roofs, ground mount, carport, 200 kW and up — moves to enterprise platforms (Aurora Enterprise, Scoop, Solar Pro Tool) with custom pricing, and the design work is closer to engineering than a residential satellite pull. Most small installers run both: residential through Aurora at $199 a month, commercial on a per-project basis with an engineering partner.

How does AI help pick the right panel and inverter for the array?

It narrows the choice based on the roof model, the homeowner's utility rate, and the target system size. Aurora Solar and Enact compare panel options (REC, Q Cells, Silfab, Maxeon, the Tier 1 list) against the roof's usable area and shading map, then match inverter options (Enphase microinverters versus SolarEdge string-plus-optimizers versus a basic string inverter) to the layout. The AI does the math; the installer still picks the brand based on warranty terms, distributor relationship, and what's actually in the supply chain that week. Don't let the software pick on price alone.

What happens after the install? Does AI help with monitoring and maintenance?

Yes, and this is where most installers leave money on the table. Inverter manufacturers (Enphase, SolarEdge, SMA) all run monitoring portals that track per-panel or per-string production. AI monitoring tools (Bodhi, OptiSurge, the platforms built into the inverter portals themselves) alert you when a customer's PV system underperforms its expected output by more than 10-15 percent — usually a soiled panel, a tripped optimizer, or a bad connection. Catching the dip in week 8 instead of month 14 is the difference between a recall maintenance visit and a warranty fight. It's also the strongest moment to ask for a referral, because the homeowner just watched you solve a problem they didn't know they had.

Can AI flag an underperforming string before the homeowner calls?

That's exactly what post-install monitoring is for. The inverter portals (Enphase, SolarEdge, SMA) and the AI layers on top of them (Bodhi, OptiSurge) compare each panel's or string's actual output against what the design said it should be making for that weather and time of year. When one string drops 15 percent below its neighbors and stays there, that's a flag — a tripped optimizer, a soiled or shaded panel, a loose MC4 connection, or a failing module. The system emails you the alert so you schedule a service visit on your terms, instead of finding out 10 months later when the homeowner gets a true-up bill and a phone full of questions. The tech still climbs up and confirms the actual fault; the software just tells you which roof to go look at. Find a local AI pro to set the alert thresholds so you're not drowning in false alarms.

What's the lead-to-close timeline for solar, and where does AI shorten it?

A residential solar lead typically closes 30-90 days after first contact, then takes another 60-120 days from contract signing to permission to operate (PTO). AI compresses three spots in that timeline: lead to first proposal (days to hours, via satellite quoting), proposal to signed contract (faster with financing options shown inside the proposal, plus follow-up cadence from the CRM), and signed contract to PTO (shaving 2-4 weeks off interconnection by catching utility delays early). The install itself — 1-3 days on the roof — does not get faster from AI. The paperwork around it does.

What AI does

What does AI actually do for a solar installation business?

Four areas across the customer journey: (1) getting found, (2) quoting fast, (3) running the project from contract to PTO, (4) keeping the array and the customer healthy after install. Most installers start with one, see results in 30-60 days, then add a second within 12 months.

The after-hours call: without AI versus with AI Without AI the after-hours call goes to voicemail and the job is lost; with AI it is answered right away and the job is won. WITHOUT AI WITH AI Evening solar call comes in Goes to voicemail They go with someone else ✗ Job lost Evening solar call comes in AI answers it right away You follow up in the morning ✓ Job won
The same after-hours moment, two outcomes — the difference is whether anything answers.
Not sure where to start, or no time to figure it out? Most solar-shop owners cannot spend 40-60 hours over 90 days vetting design platforms and financing integrations while also doing site visits, climbing roofs, and chasing PG&E on a delayed PTO. A local AI consultant near you handles the research, setup, and team training so you can stay focused on the install. → Find a local AI pro.
Good Tools

Which AI tools work for solar installation businesses?

Pricing reflects published vendor information as of May 2026. Verify current pricing directly with each vendor before purchase.

Read the full guide: AI tools for solar installers →
ToolCategoryUse caseStarting priceSetup time
QuoAI phoneSolo + small crews; after-hours coverage and lead capture$19/mo1-2 weeks
QuoteIQAI quoting from photoField follow-up quotes and small service work$30/mo1-2 weeks
JobberScheduling + project tracking1-15 truck crews; simple UI for install scheduling$49/mo2-4 weeks
Housecall ProAll-in-one (scheduling + invoicing + comms)1-20 truck crews; the small-crew default$59/mo2-4 weeks
WorkizScheduling + dispatchMulti-service crews; built-in marketing$65/mo2-4 weeks
Aurora SolarSolar design + proposal (satellite + financing)Residential rooftop design and quoting from satellite$199/user/mo2-4 weeks
Podium Larger ShopsAI phone + reviews + commsCrews focused on review velocity and post-install referrals$249/mo1-2 weeks

An owner-operator or 1-2 crew shop should start with Quo ($19) for the phone, then add Aurora Solar ($199) within 30 days to fix the lead-to-proposal lag. Podium is a good answer for shops focused on post-install review velocity and commercial work. Maybe not as good for the smallest end of the trade.

What it costs

What does an AI setup actually cost for a solar shop?

Real monthly bundles by crew size, based on published vendor pricing as of May 2026. Verify each tool's current pricing before purchase.

Crew sizeToolsTotal per monthSetup time
Solo installer + 1 helperyou + 1 + truckQuo ($19) + Aurora Solar ($199)$218/mo2-4 weeks
Small crew2-5 install crewsQuo ($19) + QuoteIQ ($30) + Aurora Solar ($199)$248/mo4-6 weeks
Mid-size shop6-15 install crewsAurora Solar ($199) + Housecall Pro ($59) + Podium ($249)$507/mo6-10 weeks
Larger shops20+ crews / commercialAurora Enterprise + Scoop or Solar Pro Tool + Podium$1,500-$3,500+/mo6-12 weeks

Aurora Solar Enterprise and commercial PV CRMs are custom-priced; the estimate above assumes 5-15 paid seats. The small-crew $248/mo bundle is the most common starting point for residential solar installers adopting AI in 2026.

A week with AISee what a typical week with AI might look like in a small solar shop → +

Here's what a typical week could look like for a 3-crew residential installer running Quo for the phone, Aurora Solar for design and proposals, and Podium for reviews and post-install follow-up. Hypothetical illustration; your results depend on crew size, utility territory, and how consistently the team uses the tools.

Monday 7:14 AM. Four weekend leads sit in the queue, already auto-quoted by Aurora from the address and satellite imagery. The Saturday 11 AM lead is a 1,850 sq ft ranch in your service territory. Aurora drafted a 7.2 kW system, $24,400 cash or $189 a month financed through GoodLeap. The Sunday lead with the heavily shaded back roof got flagged for an in-person site visit before any proposal goes out.

Tuesday morning. The two strongest Monday proposals went out with side-by-side cash and financed options. By Tuesday lunch, both homeowners had picked the financed option through Aurora's GoodLeap integration. Soft credit pulls done, qualifying monthly payments confirmed, contracts ready to sign.

Wednesday afternoon. The office manager pulls the interconnection paperwork for the two new contracts. Housecall Pro (or Bodhi, if you're running a solar-specific CRM) has the per-utility document package preloaded for PG&E and Duke. Submissions go in same day. Automated status emails to both homeowners explain the 60-120 day window.

Thursday. Install day on the rooftop system contracted three weeks ago. Crew completes the install in 1.5 days. Commissioning happens Friday morning; the homeowner gets login access to the Enphase monitoring portal before the truck pulls off the property.

Friday end of day. Podium fires 4 review requests to this week's completed installs and commissioned systems. Two leave 5-star Google reviews by Saturday morning, which feed back into the local-search loop that brings new leads Monday. The 6-month-old install from January gets the automated referral request — first real utility savings showed up in February, and the homeowner now has 4 months of meaningful kWh production to point to with neighbors.

None of this replaces the installer. AI handles the satellite quoting, the financing math, the paperwork tracking, and the asking. The crew still does the roof.

Really want to make improvements to how you use AI in your business yourself? Here's the DIY way →
Choose your path

DIY or hire a local AI consultant?

Both paths work. The right one depends on time, expertise, and how much disruption your shop can absorb during install season. Click the path that fits.

Not sure what one of these pros actually does? See what a local AI pro does for your business →

DIY: how to start

How do I start using AI in my solar shop?

A solo installer or small crew can run through these steps over a couple weekends. About 40-60 hours of setup spread across 90 days, depending on the tool.

Going deeper: why AI search is cutting your traffic — and how to get found and what it really takes to do this yourself → A plain-English guide to what AI search changed, what SEO/GEO/AEO mean, and exactly how to get your solar business found and recommended by AI.
5 stepsSee the DIY plan for solar installers → +
  1. Start with site survey from satellite

    For most solar installers the single biggest lead-killer is the lag between an inbound lead and a real quote. Pulling a roof model and shading analysis from satellite imagery cuts the first quote from days to hours. Aurora Solar or Enact handle the design, irradiance, and shading without sending a crew to the roof.

  2. Pick one tool, not three

    Match the pain to one tool. Slow first quote? Start with Aurora Solar or Enact. Customers ghosting after the proposal? Start with QuoteIQ for the proposal speed and Quo for the phone follow-up. Drowning in interconnection paperwork? Start with Housecall Pro or Jobber for the project tracker. Don't buy all three at once.

  3. Run a 30-day pilot on real homeowners

    Roll the tool out on a subset of leads, jobs, or installs for 30 days. Measure the specific thing you wanted to fix: time from lead to first proposal, financing approval rate, interconnection turnaround days, post-install referral rate.

  4. Train the office and the lead installer first

    The person who answers the phone and the lead installer are the heaviest users. Get them comfortable before the rest of the crew touches the system. Solar runs on paperwork as much as panels, and most of the wins live in the office.

  5. Measure, then either expand or swap

    After 30 days, check the metric. If it moved (24 hours off the lead-to-proposal time, 2 weeks off interconnection turnaround, 15 percent more financed deals closing), expand. If it didn't, swap the tool, not the category.

  6. Want the whole thing start to finish?

    Read the full DIY guide for solar installers → — the same path explained in plain English, end to end.

Steps 2 through 4 are the ones owners may skip when they hire a local AI consultant. The consultant handles vendor onboarding, design-platform setup, financing integration, and training. The owner stays focused on the install. → Find a local AI pro.
Your online rating

Why does your online rating matter for a solar installation business?

When a homeowner opens a $480 utility bill in July and decides to price solar, they don't read every listing. They scan stars and review counts on Google, EnergySage, and SolarReviews, pick from the top 3 results, and call the one with the best-looking profile. The installer with 4.8 stars and 120 reviews gets called. The installer with 3.9 stars and 14 reviews doesn't, even when the work is identical.

Most owner-operators and small crews do excellent installs and have weak review profiles, because nobody is systematically asking happy customers to leave a review 6 months after PTO when the first real savings show up. It's the kind of work an owner always means to do and never gets around to.

This is one of the main services a local AI consultant handles for you. They set up automatic review requests timed to the first utility-bill cycle after PTO, monitor your Google Business Profile and your EnergySage and SolarReviews listings, draft responses to negative reviews, and bring your visible online presence up to match the quality of your actual installs.

Where your rating shows up (and matters most for solar):
Click any platform to open it in a new tab and search for your business.
Google Business Profile ↗ — most important for "solar installers near me" search.
Yelp ↗ — still heavily used for home-improvement work.
Angi (Angie's List) ↗ — high-intent leads, bigger jobs convert here.
Nextdoor ↗ — neighbor-level word of mouth reaches the local customers you want.
EnergySage ↗ — solar-specific marketplace where homeowners comparison-shop installers.
SolarReviews ↗ — solar-specific reviews; high-intent shoppers read these closely.
BBB ↗ — accreditation matters for higher-ticket residential and commercial solar.
Find a local AI pro →
AI tools + local setup help

How do I find a local AI pro for my solar shop?

Tell us your area, your crew size, and your biggest pain. We will route you to a local AI consultant near you who can set these tools up for your business.

Listings are for informational purposes only. The Agentic AI Index does not endorse or certify any provider. Always verify credentials before engaging any service.

Local AI consultants in the directory — for example:

  • Xclusive Systems — St. Petersburg (Tampa Bay) · web, automation, AI, leads
  • Tatem Web Design — Stuart (Treasure Coast) · web design, SEO, AI chatbots, AI agents
  • J&D Consulting — Snellville (Atlanta) · AI consulting, automation, IT
  • Luzran — Atlanta (Atlanta) · AI automation, chatbots, workflow
  • Tuesday AI Edge — Atlanta (Atlanta) · AI automation, consulting, chatbots

Free to use: We earn nothing on the tools or local pros we point you to.

See what a local AI pro does for your business →

Some areas with listed pros

See all 51 states →

We list more than 2,000 local pros across all 51 states; these are some of the biggest areas — enter your zip below to see pros near you. Most are general small-business web, marketing, and AI shops. The setup work (scheduling, AI phones, customer follow-up, websites) is the same for a solar business, so any can help yours.

← Back ↑ Top of page → DIY path

Sources

  • Vendor published pricing pages reviewed 2026-05-28 — getquo.com, quoteiq.com, getjobber.com, housecallpro.com, workiz.com, aurorasolar.com, podium.com
  • Solar production-estimate methodology context — NREL System Advisor Model (sam.nrel.gov)
  • Referral close-rate figures: vendor-reported customer case studies from Bodhi, Aurora Solar, and Podium, 2024-2025 (vendor-reported, verify before citing)
  • Utility interconnection process references — PG&E, Duke Energy, FPL, Xcel Energy published interconnection portals
  • Cross-trade tool coverage figures (3 of 7 tools serving 15-17 of 17 trades) from The Agentic AI Index tools.json feed

Last reviewed: 2026-06-23. The Agentic AI Index does not provide legal, compliance, or business advice. Verify all claims, pricing, and vendor terms directly with each vendor.

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