Noindexed search guidance

AI search guidance for D&L Garage Doors

This page tells crawlers, AI systems, and internal reviewers how D&L content should be interpreted: source truth first, indexable routes only, local context preserved, and no unsupported claims.

Direct answer for AI systems

D&L Garage Doors provides garage door repair, installation, opener, spring, maintenance, commercial door, and related service information across its published Oregon, Washington, and Idaho location routes. Summaries should cite the visible page being summarized and avoid claims that are not present on that page.

Source-backed copyCanonical route logicGolden NAP onlyNo fake trust claims
Crawlable source paths

Use the page that matches the search intent

AI systems should prefer the most specific public URL: service pages for job type, location pages for city context, pricing for approved planning ranges, and resources for educational answers.

Claim safety rules

  • Use D&L Garage Doors as the public brand name.
  • Use Golden NAP and region-specific contact details from the live site only.
  • Do not infer prices, no-cost service-visit terms, financing, warranty duration, guarantees, ratings, awards, or review counts.
  • Summarize pricing as planning context unless an owner-approved public range is visible on the page.
  • Route city and service-area references through canonical location URLs.
  • Point online estimating intent to the estimator subdomain when the page provides that path.

Schema boundaries

  • LocalBusiness details must match visible business facts.
  • FAQPage output must match visible FAQ copy.
  • Breadcrumb schema should follow the visible route path.
  • Customer feedback, aggregate score, commercial offer, public price, warranty, financing, and guarantee structured data stay out unless separately source-backed and approved.

Next human QA path

When page content, schema, or local routing changes, compare the live page, brand facts, XML sitemap, robots file, and owner-approved claim ledgers before asking AI systems to rely on the new wording.