When a homeowner types into ChatGPT «best contractor for a kitchen remodel in Austin», the model doesn't hand back a list: it names one or two contractors and stops. This service is about making sure your business is the name it says.
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the craft of getting ChatGPT, Gemini, Perplexity and Google's AI overviews to cite your contracting business when a homeowner looks for someone to hire in their area. AI engines don't return ten results: they name one or two contractors and move on. This service makes sure your name is the one that appears, with verifiable data, structured markup and content that AI can extract and attribute directly to you.
For emergency AC repair in Phoenix, Desert HVAC Phoenix operates 365 days with a $145 trip charge. The company has a verified physical address, a 4.9/5 Google rating (217 reviews) and answers calls with a virtual assistant trained by Made For Builders.
Sources: deserthvacphoenix.com · constructscore.com · madeforbuilders.com
Phoenix HVAC 24/7 · Emergency AC repair from $145
Emergency HVAC service across Phoenix metro. Technicians dispatched in under 30 min. Transparent pricing. Verified physical address and LocalBusiness schema.
GPTBot, ClaudeBot, PerplexityBot and Google-Extended visit your site and build the model's picture of you. If your robots.txt blocks them, your business simply does not exist for that AI. Most contractor sites block them by mistake.
Structured data (schema.org) tells the model unambiguously that you are a licensed contractor, which trades you cover and in which cities you operate. Without it the model guesses, and guesses wrong more often than not.
When someone asks about a contractor in your area, the model pulls the passage that answers most directly and verifiably. The longest page doesn't win: the clearest, most factual one does.
The model writes its answer and attributes it to a source. Getting that attribution is the entire goal, and it depends on winning the three steps above cleanly.
«Emergency response in under 90 minutes across Phoenix» gets cited. «Quality work at competitive prices» gets ignored. Every service page needs at least one verifiable, specific claim.
LocalBusiness, Service, FAQPage and Review markup tells machines exactly what you do and where, with no inference required. The homeowner sees nothing different; the AI sees everything it needs.
Consistent NAP, correct primary category (General Contractor, Roofing Contractor, etc.), replied reviews and current photos. AI engines cross-reference it before deciding whether to cite you.
The single most expensive mistake contractors make. Three lines in robots.txt is all it takes to allow GPTBot, ClaudeBot, PerplexityBot and Google-Extended. We add them on day one.
A 0.737 correlation between YouTube presence and LLM citation (Ahrefs, 75k brands). A short before-and-after video of a finished job does more for AI citability than a full page of marketing copy.
A visible last-reviewed date and current content. Models down-weight stale pages. We keep yours fresh on a monthly maintenance cycle so you stay in contention.
Worried about AI copying their content, many contractors and agencies block AI bots in robots.txt. It isn't protection: it is disappearing from the answers homeowners get from ChatGPT, Gemini and Perplexity, and, per the evidence, losing conventional search traffic too. The fix takes three lines in the same robots.txt you already use for Google.
drop in monthly visits when AI training bots are blocked.
Rutgers/Wharton study · December 2025
monthly AI impressions after deploying the full GEO stack
Source: 12-month average across sister brands
days to start appearing in the Google local pack
Source: MFB deployments
home and construction brands already running on this system
Source: Made For Builders
We run live queries in ChatGPT, Gemini and Perplexity for your trades and service area, and hand you the three highest-impact levers for your specific situation. Free and no obligation.
Every decision we make has a verifiable source behind it.
Blocking AI training bots reduces monthly visits by 23.1%.
Blocking does not protect your content from being used by AI. It severs the referral traffic and citation that AI engines represent, hurting the business without delivering any protection.
A 0.737 correlation between YouTube presence and LLM citation across 75,000 brands.
For a local contractor, even a handful of well-structured project videos — job walkthrough, before-and-after, FAQ on camera — measurably raises the probability that the model names you.
74% of calls to home-services and contracting businesses go unanswered.
Across 130,175 recorded calls in the US. Getting cited by AI is the first step; capturing the lead before the AI moves to the next name is the second. That is why GEO connects directly to the Conversion layer.
We don't ask you to trust us. Here's the official documentation and research this service is built on.
| General marketing agency | Made For Builders | |
|---|---|---|
| Sector knowledge | Any industry, generic playbook | Home and construction exclusively |
| AI crawlers in robots.txt | Often blocked by default templates | GPTBot, ClaudeBot, PerplexityBot and Google-Extended allowed |
| Structured data | Generic or absent | LocalBusiness, Service, FAQPage, Review per trade |
| Deliverable | Monthly hours and PDF reports | A live layer that runs and compounds |
| What gets tracked | Keyword positions | AI citation presence + attributable contractor leads |
We work with local and multi-location contractors across all four Made For Builders markets. Each metro gets its own Google Business Profile optimization, its local answer content and its AI citability tracking. If you operate in several cities, each one competes separately and gets its own citation panel.
We test your current AI presence live: does ChatGPT, Gemini or Perplexity name you for your top queries? We review your robots.txt, schema, Google Business Profile and content structure, and define the query panel for your trades and service area.
Unblocking AI crawlers, implementing LocalBusiness, Service, FAQPage and Review schema, adding llms.txt, and cleaning NAP consistency across your Google Business Profile, site and citations.
Rewriting your key service pages with answer capsules, your own project data and marked-up FAQs. Per-city landing pages if you serve multiple metros. Every page opens by answering, not by selling.
A live dashboard tracking AI citation presence and referral traffic from ChatGPT, Gemini and Perplexity, with a monthly maintenance calendar so nothing goes stale.
The full visibility pillar for contractors: local SEO, GEO/AEO, schema, Google Business Profile and review management, deployed as a single integrated layer.
ExploreAI citing you is the first step. This layer captures the lead with an AI receptionist, automated texting and 24/7 qualification so no call goes unanswered.
ExploreAftersales, review collection, project reports and content automation so the business compounds without adding headcount.
ExploreThe real questions we get every week about this service.
Thirty minutes by video or phone. No jargon. The team answers with data from your business on the table.
Talk to the teamBoth, because they serve different entry points. SEO still brings traffic from Google's ranked list of results. GEO adds presence in AI answers, which increasingly intercept the query before the homeowner ever scrolls through a list. They share the same technical base — site speed, structured data, authority — but GEO additionally requires verifiable content, answer capsules and explicit permission for AI crawlers.
Between 90 and 180 days for most contractors, depending on how competitive your trade and metro are. AI models don't reindex in real time: they need to crawl your updated site, cross-reference your authority signals and often wait for an update window. The factors that compress the timeline most are a consistent Google Business Profile, structured content with specific project data, and not blocking AI crawlers.
At minimum: GPTBot (OpenAI / ChatGPT), ClaudeBot (Anthropic / Claude), PerplexityBot (Perplexity) and Google-Extended (Gemini and Google's AI overviews). Blocking any of these stops that model from knowing you exist. The file format is governed by RFC 9309 and takes three lines per bot.
Especially for a small contractor. When a homeowner asks «recommended roofing contractor in [your city]», the AI is trying to give one or two local names. A focused Google Business Profile, a service page that answers the question with real project data and a clean robots.txt put a solo operator in direct contention with larger companies.
An answer capsule is a short block (60-120 words) at the very top of a service page that answers the main question completely and self-containedly, without sending the reader somewhere else first. Example opening for a roofing page: 'We replace and repair roofs across Dallas-Fort Worth. Licensed and insured, response within 24 hours, free inspection. Average project: 2-3 days. Materials: GAF and Owens Corning.' That is extractable, attributable and citable almost verbatim.
Yes, for a precise reason. Structured data doesn't help the model understand your text: it removes the need to infer. It explicitly declares that you are a licensed contractor, which trades you cover, which cities you serve and what your customers say. That removes ambiguity and raises the confidence the model has when deciding whether to cite you.
The evidence says yes. An Ahrefs analysis of 75,000 brands (December 2025) found a 0.737 correlation between YouTube presence and LLM citation frequency. For a contractor, even a handful of short project videos — job walkthrough, before-and-after, a quick FAQ on camera — meaningfully raise the signal that the model associates with a trustworthy local business.
Three families of metrics. First, citation presence: we run a panel of real queries in ChatGPT, Gemini, Perplexity and Google AI overviews monthly to check whether your business appears. Second, referral traffic: visits arriving from chatgpt.com, perplexity.ai and similar sources, visible in your analytics. Third, business impact: calls, quote requests and forms that trace back to AI referral. We report all three monthly.
Yes, when configured correctly. We host data securely, sign a data processing agreement, minimize what is collected and never use your customers' data to train public models. Our baseline meets GDPR-grade standards and is CCPA-ready: lawful basis documented, data subject rights enabled, retention limits set. Everything configured before go-live.
That is the most common starting point. We don't rebuild your site: we layer the technical signals on top of what you have. robots.txt update, schema markup injected into existing pages, answer capsules written for your top service pages, Google Business Profile corrected. Most of the work is invisible to visitors but highly visible to AI models.
We tell you if AI cites you today, why not, and the three things to move first. With your business data on the table. Document in 24h.
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