GEO for energy: get cited by AI on tariffs and payback
Energy queries almost always come down to numbers: payback, tariff, consumption, subsidy. AI engines readily cite content with concrete calculations, current rates and an engineer's byline — and skip stale price lists or vague promises. Here GEO is about data accuracy and provable expertise.
Where you lose AI answers
- AI quotes solar payback figures from someone's outdated article instead of your own calculator.
- Asked about a tariff or subsidy, the engine cites an aggregator or government portal and ignores your company.
- Equipment specs and savings math aren't marked up, so AI can't extract or cite them.
How people ask AI
GEO checklist for this niche
Show the payback math with input parameters and a text result — AI extracts the numbers and cites a clear methodology.
Stamp the revision date on tariffs and subsidies: after a price change engines prefer the most up-to-date source.
Name, credentials and knowsAbout (photovoltaics, heating) — the expertise signal AI values in technical answers.
Describe gear via schema.org Product/Offer with output, efficiency and warranty so AI cites the specific model.
A real site: before/after in kWh and money — verifiable facts beat promises for engines.
Want this done for your site — end to end?
FAQ
Why does AI cite aggregators and government portals instead of our energy company?
By default they look more authoritative and current. You tip the balance with a calculator that shows its formula, tariffs with a revision date, an engineer's byline and Product markup — then AI picks your content as the primary source for the numbers.
Where do I start?
Build a page with a payback calculator and a transparent formula, stamp fresh tariffs with a date, add an engineer-author with knowsAbout and equipment markup, then run pages through the GEO checker.