Your Fix Kit
Braintree Garage Door - the exact steps to get cited
Everything below is built from your live audit. Work it top to bottom. Most operators climb 20-40 points in 45-60 days doing exactly this.
← Back to your full score report1. Paste this schema on your homepage
Add this JSON-LD inside your site head tag (or via your CMS schema field). It tells every AI engine exactly what Braintree Garage Door does and where. Replace the YOUR-DOMAIN, phone, and review-count placeholders, then validate at Google Rich Results Test.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Braintree Garage Door",
"image": "https://YOUR-DOMAIN.com/logo.jpg",
"url": "https://YOUR-DOMAIN.com",
"telephone": "+1-XXX-XXX-XXXX",
"address": {
"@type": "PostalAddress",
"addressLocality": "Braintree",
"addressRegion": "MA",
"addressCountry": "US"
},
"areaServed": {
"@type": "City",
"name": "Braintree"
},
"priceRange": "$$",
"makesOffer": [
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Garage Door installation"
}
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Garage Door repair"
}
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Emergency garage door service"
}
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Garage Door maintenance"
}
}
],
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.9",
"reviewCount": "REPLACE_WITH_YOUR_COUNT"
}
}
</script>
2. Get listed on the sources AI actually reads
The first block is where the engines looked when answering about you. Fix those first - same name, address, phone everywhere. Then work the universal backbone.
Read by AI in your audit
Universal citation backbone
3. Your 7-step climb playbook
1. Deploy LocalBusiness JSON-LD schema
+7 ptsWhy: Your citation rate is 46.2%. Schema is the single highest-leverage signal AI engines use to identify and recommend a local business.
Do this: Add schema markup to every public page: NAP, hours, service area, services offered, reviews aggregate. Validate with Google's Rich Results Test before deploy.
2. Clean NAP across the top 14 citation aggregators
+3 ptsWhy: Inconsistent phone or address across directories blocks AI engines from confidently citing you.
Do this: Run a citation audit across Yelp, BBB, YellowPages, Foursquare, Bing Places, Apple Maps, and 8 trade-specific directories. Force-match name, address, phone, hours to one canonical version.
3. Build service-area pages for the top 15 towns near Braintree
+5 ptsWhy: Service-area pages targeting the actual towns AI engines query for are how you show up in 'best [trade] near [town]' answers.
Do this: Build 800 to 1,250 word pages, one per town, schema-tagged, with locally-relevant content. Target 18+ point score lift across this single move.
4. Outpost-seed 12 mentions across Reddit and trade forums
+3 ptsWhy: Mortland Door Systems is winning citations because they show up in independent third-party discussions, not just on their own site.
Do this: Find 12 high-traffic threads on Reddit, ContractorTalk, or trade-specific forums. Post real value-add comments that mention the business naturally. No spam, no sock puppets.
5. Push FAQPage schema answering the 8 questions homeowners ask AI
+2 ptsWhy: AI engines pull direct answers from FAQ schema before they pull from page body content.
Do this: Identify the 8 most common homeowner questions in your trade. Write tight 2-3 sentence answers. Wrap in FAQPage JSON-LD. Deploy site-wide in the footer.
6. Submit to ChatGPT and Perplexity training-data partner forms
+2 ptsWhy: The data licensing partner programs are the inside track to being included when these engines refresh their training sets.
Do this: Submit through OpenAI's training-data inclusion form and Perplexity's publisher portal. Include your schema-tagged site URL, NAP, and a one-page company brief.
7. Re-run the audit every 14 days, adjust based on engine deltas
+2 ptsWhy: Score changes per-engine reveal which fixes are landing where, so the next move is data-driven not guess-based.
Do this: Schedule the audit on a 14-day cadence. After each run, identify which engine moved most and which still has zero citations. Double down on what's working, kill what isn't.
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