Solar has an enquiry problem that most trades don't. The purchase is large, the payback period is long, and the customer researches for weeks or months before they commit. In that time they'll read comparison articles, ask on forums, get three quotes, and change their mind twice.
The result is an enquiry pipeline full of people who are genuinely interested and nowhere near ready. Mixed in with a smaller number who are ready this month. Telling them apart is the entire commercial challenge, because sending a surveyor to a property costs real money and most surveys don't convert.
The questions everyone asks, and why they matter
Almost every solar enquiry starts in the same place:
- How much will I actually save?
- How long until it pays for itself?
- What grants or schemes can I get?
- Do I need a battery?
- Will my roof even work?
These aren't idle questions. They're the ones that determine whether the customer proceeds at all, and a slow or vague answer sends them to a competitor's website that answered faster.
But they're also the questions where a chatbot has to be most careful, because getting them wrong is worse than not answering.
The savings question: explain, don't estimate
Here's the boundary that matters most in this sector.
A chatbot should never produce a personalised savings figure. Output depends on orientation, pitch, shading, panel count, local irradiance, and how much of the generation the household actually uses rather than exports. A number generated from a chat conversation will be wrong, and when the surveyor produces a different one the customer concludes you were either incompetent or misleading them. In a market with a trust problem, that's expensive.
What the bot should do is explain the mechanics using your own published material. What drives savings. Why a south-facing roof performs differently from an east-west split. Why daytime consumption matters. What a typical system on a typical home produces, if you publish that.
Then it should be straightforward: "The honest answer is that it depends on your roof and how you use electricity. Our surveyor can give you a proper figure. Shall I get that booked in?"
That's a better answer than a fabricated number, and customers respond well to it because everyone else in the market is throwing optimistic figures around.
Qualifying: six questions that save a wasted afternoon
The commercial value of a solar chatbot is filtering. These are the questions that do it:
Do you own the property? Renters and leaseholders usually can't proceed. This single question removes a meaningful slice of enquiries.
What type of property is it? Flats, listed buildings, and some conservation areas carry constraints worth knowing before anyone travels.
Which way does the main roof face, roughly? Customers can usually answer this well enough to be useful. A north-facing-only roof is a different conversation.
Is there significant shading? Trees, neighbouring buildings, chimneys. Shading is the most common reason a promising-looking site doesn't work.
Roughly what do you spend on electricity? This is the closest proxy for whether the numbers will look good enough to convince them.
What's your timeline? "This year" and "just researching for now" should not go into the same follow-up sequence.
None of that feels intrusive when it's framed as helping, and all of it means your surveyors visit roofs that can actually take a system.
Grants and incentives: the maintenance trap
Incentive schemes change. Rates change, eligibility changes, schemes close.
This is the one area where a chatbot can actively harm you. A bot confidently repeating a grant rate that was withdrawn six months ago creates a customer expectation you can't meet, and in a regulated-adjacent sector that's not just embarrassing.
Handle it by keeping scheme information in one place on your site that you actually maintain, pointing the bot at that, and instructing it to route anything it isn't certain about to your team. It's also worth setting a calendar reminder to re-check that page whenever schemes update, the bot is only as current as the content behind it.
Storage and heat pumps are where the margin is
Increasingly the interesting conversation isn't panels, it's what goes with them. Battery storage, EV charging, heat pumps.
A bot that treats every enquiry as a panel enquiry misses this. Configure it to notice and capture interest in storage or heating separately, because those leads are worth more and often convert faster, the customer already has panels and has already decided they trust the technology.
Around one in six inbound "solar" enquiries turns out to be someone with an existing system asking about adding a battery. Those tend to be the highest-converting leads on the list, and they are usually sitting in the same undifferentiated pile as everything else.
After-hours is when solar gets researched
Solar research happens in the evening, on laptops, after someone has opened an electricity bill. That's when your website gets its most motivated traffic and when nobody's in the office.
A bot that answers the payback question at nine at night, honestly, and books a survey slot is capturing the customer at the exact moment of highest intent. Waiting until Monday means competing with whatever they read in between.
Where to draw the line
No personalised savings numbers. No firm quotes. No promises about grant eligibility. No claims about system lifespan or degradation beyond what your manufacturers actually warrant.
If it doesn't know, it should say so and offer a callback. In a sector where customers are actively braced for a hard sell, a bot that admits uncertainty is a competitive advantage rather than a weakness.
Checking the payoff
Two numbers. First, survey-to-install conversion rate. If the qualifying questions are working, it should climb, because your surveyors are visiting better sites. Second, enquiries captured outside office hours, which in solar is usually most of them.
The goal isn't more leads. Solar companies rarely have a lead volume problem. The goal is fewer wasted surveys and faster contact with the small number of people who are genuinely ready to buy.