Does AI search visibility actually matter for energy and solar companies?+
Yes, because buyers ask cost, payback and suitability questions and expect numbers, not enquiry forms. Those questions are increasingly asked of an assistant first, and the shortlist that comes back is the shortlist that gets contacted. Cost questions dominate this category, and refusing to answer them hands the shortlist to whoever will.
What is the single most common problem you find in this category?+
Pricing and payback are withheld entirely, certifications are logos, and suitability guidance is generic. It is usually fixable within a few weeks because the underlying data already exists internally; it simply is not published in a form a machine can read.
Which attributes matter most here?+
System sizes and costs, payback estimates, certifications, coverage area, warranty terms, grant eligibility. Those are the dimensions buyers state when they ask, so those are the dimensions an assistant matches against.
What kind of third-party signals help in energy and solar companies?+
Certification schemes, government scheme documentation and independent energy advice bodies are cited heavily. We prioritise those specific sources rather than chasing generic link volume, because relevance and verifiability matter far more than count in AI retrieval.
How is this different from ordinary SEO?+
It shares the technical foundations — crawlability, rendering, structure — but the target changes. Classic SEO competes for a position in a list; this competes to be the source a model paraphrases, which rewards explicit data, honest qualifiers and independent corroboration.
How quickly do we see movement, and what does it cost?+
Long-tail and comparison questions typically shift in 30–90 days once the data and pages ship. The forensic audit is $4,500 and ongoing engagements are scoped per brand. Implement our 90-day plan and if you do not see movement in 3–6 months, we refund our fees in full.