Your Website Has No Schema Markup — That's Why AI Doesn't Know You Exist

Most electrician websites read fine to a human. A homeowner lands on the page, sees "24/7 Emergency Electrician," sees a service area, sees a phone number, and understands the business in about four seconds. AI systems don't get that luxury. They don't "read" a page the way a person does — they parse it, and when the information isn't in a structured, verifiable format, they either guess or skip the page entirely in favor of a competitor who made it easy.

That's what schema markup solves. It's a block of code — invisible to visitors, plainly readable to machines — that states your business facts directly instead of burying them in paragraph copy. No schema means AI Overviews, ChatGPT, and Perplexity are working off inference. Complete schema means they're working off confirmation. Confirmation gets cited more.

The 4 schema types every electrician site needs

1. LocalBusiness (or Electrician)

This is your business card in code — name, address, phone, hours, service area, and the specific business type. Use the Electrician schema type where your CMS supports it; it's more specific than generic LocalBusiness and gives AI systems less to infer. This block should match your Google Business Profile field-for-field. A mismatch between what your schema says and what your GBP says is one of the fastest ways to tank AI citation confidence — inconsistency reads as unreliable data, and unreliable data gets filtered out.

2. Service

One Service entry per offering — panel upgrades, EV charger installs, generator hookups, whole-home surge protection. This is the block that lets AI systems answer "does this electrician install EV chargers" without opening your page and guessing from a paragraph. It's the single highest-leverage schema type for a contractor site, because it maps directly to the exact questions homeowners are asking AI assistants.

3. FAQPage

Wrap your on-page FAQs (the same ones covered in last month's *Answer of the Week* format) in FAQPage markup. This is what turns a well-written 40–50 word answer into something Google and ChatGPT can lift verbatim into an answer box, instead of just reading it and paraphrasing.

4. Review / AggregateRating

If you're displaying reviews on-site, mark them up. This is lower-priority than the first three, but it reinforces the trust signal your GBP reviews are already sending — and gives AI systems a second, independent source confirming you're an active, reviewed business.

What it actually looks like

Here's a minimal but complete example for a residential electrician offering panel upgrades — JSON-LD you drop into a script tag with type application/ld+json in the page head:

• @type: Electrician (more specific than LocalBusiness)
• name, telephone, and a full PostalAddress block
• areaServed: the metros and suburbs you actually cover
• openingHours: 24/7 if you take after-hours emergency calls
• hasOfferCatalog → Service items for each offering (panel upgrade, EV charger, generator, etc.)

Most CMS platforms (including Lovable, Webflow, and WordPress with an SEO plugin) let you drop this in without touching template code.

Frequently asked

Will schema markup alone get me cited by AI Overviews?

No — it's necessary, not sufficient. Schema removes ambiguity for AI systems that have already decided to consider your page. You still need the underlying signals: a complete GBP, review velocity, and content that actually answers the question. Schema is the connective tissue between those signals and an AI citation, not a replacement for any of them.

Do I need a developer to add this?

Not usually. If your site runs on Lovable, Webflow, Squarespace, or WordPress, there's a field or plugin for custom head code or JSON-LD injection. The harder part is keeping the data accurate as your services and hours change — treat it as a living document, not a one-time setup.