AI Lingo in Plain English

AEO (Answer Engine Optimization)

AEO is the practice of structuring website content so answer engines, Google's featured snippets, AI Overviews, and direct-answer boxes, can extract and display it as the answer to a user's question. Where traditional SEO chases rankings and clicks, AEO's core metric is direct extractability: can a machine lift your answer cleanly out of your page? For a contractor, AEO is the difference between a homeowner seeing your price-range answer directly in Google versus clicking through five competitors to find one.

GEO (Generative Engine Optimization)

GEO is the practice of earning citations and active recommendations inside LLM-generated responses, when ChatGPT, Perplexity, Claude, or Gemini answers a question by naming and recommending specific businesses. Its core metrics are citation rate, brand mentions, and prompt coverage; its retrieval sources are real-time web retrieval (RAG) and entity-graph matching, which is why structured data and off-site corroboration matter more than keyword density. When a homeowner asks ChatGPT "who's the best fence company near me," GEO determines whether you're in the answer. In practice, AEO and GEO describe the same discipline and are used interchangeably.

Traditional Local SEO (and how it relates)

Traditional local SEO targets top organic positions and map packs, measured in clicks and impressions, retrieved from local search indexes and static web crawls. It hasn't been replaced, it's been layered. SEO provides the authority signal that AI retrieval systems use as a relevance proxy; AEO/GEO provides the extraction layer those systems read. A site with strong rankings but no structured data won't get cited by LLMs; a site with perfect schema but no authority won't get retrieved. Both must be optimized in tandem.

Agentic Commerce

The next layer out: autonomous AI agents that don't just recommend a business but book and pay for services on a user's behalf, via unified APIs and machine-readable interfaces. Its core metric is completed transactions. For contractors, it's the future outlook, not the current battleground, but the structured-data foundation being built for AEO/GEO today is the same foundation agentic booking will require tomorrow.

Speed-to-Lead

Speed-to-lead is the elapsed time between a lead's inquiry and the business's first response, and the research is unambiguous: responding within 5 minutes versus 30 minutes makes a business 100x more likely to make contact and 21x more likely to qualify the lead (MIT/InsideSales study of 15,000 leads, Dr. James Oldroyd). Lead decay is non-linear: audits show fewer than 7% of businesses respond within 5 minutes and many never respond at all. For home-services contractors, where Thumbtack and Google Local Services Ads send every request to multiple pros at once, speed-to-lead is frequently the entire difference between winning and losing the job.

Missed-Call Recovery (Missed-Call Text-Back)

An automation that detects an unanswered inbound call and immediately sends the caller an SMS, typically within 2 minutes, acknowledging the call and offering a booking link. It converts the single most common contractor lead leak (calls missed on jobsites and after hours) into captured, responded-to leads. Contractors handling this manually recover essentially zero after-hours leads; the automation recovers 5–15 per month depending on business size.

Lead Qualification & Routing

An automated flow that asks every new lead a short set of qualifying questions, project type, budget, timeline, urgency, via SMS or email, scores the answers, and routes accordingly: high-value jobs go straight to the owner's phone; low-value inquiries get filed for follow-up instead of chased. For a contractor, it means estimates get driven to for serious buyers only, and tire-kickers stop consuming windshield time.

Schema Markup (Structured Data / JSON-LD)

Schema markup is machine-readable code (typically JSON-LD) embedded in a webpage that explicitly declares what the page is about, the business entity, its services, its FAQ answers, its service area, so search engines and AI systems don't have to guess. Google's Gemini pipeline, for example, filters candidate businesses against schema constraints: a business without machine-readable hours gets omitted from time-sensitive results because the system can't verify it. For contractors, schema is what turns "probably a fence company" into a verified, citable entity that AI engines will confidently recommend.

FAQPage Schema

A specific schema type marking up question-and-answer pairs. It's the single highest-leverage structural tool for AI citation: the pre-structured Q&A format reduces extraction friction, each question matches a different way homeowners phrase queries, and 15–20 well-researched entries signal deeper topical authority to an LLM than a single long article. Best practice is the "44% Rule": lead with the answer in the first 40–60 words of each response.

llms.txt

A plain-text file placed at a site's root (/llms.txt) containing the business's core claims and a brief brand introduction, written for AI agents rather than humans. LLMs read it as a kind of briefing document when summarizing or recommending the site, a direct channel for telling ChatGPT, Claude, and Perplexity exactly what a contractor does, where, and for whom.

robots.txt & Agent-Ready Files

robots.txt is the root-level file telling crawlers what they may access; agent-readiness extends it with explicit allowances for AI crawlers (GPTBot, CCBot, anthropic-ai) and an agent-skills index at /.well-known/agent-skills/index.json describing the site's capabilities in machine-readable form. Together they guarantee the site is crawlable and correctly signaled to AI systems, the technical floor everything else in AEO/GEO stands on.

AI Answer Engines

The platforms generating direct answers instead of link lists: ChatGPT, Perplexity, Claude, Google Gemini and AI Overviews, and Bing Copilot. Each aggregates and verifies local business data differently, Gemini draws from Google's Knowledge Graph and verified Business Profiles cross-checked against on-page schema, but all reward the same fundamentals: verified entities, structured data, answer-formatted content, and corroborating off-site signals. These are increasingly where homeowners ask "who should I hire" before they ever open a search results page.

CRM Auto-Logging & Source Tagging

The automation layer that writes every captured lead, web form, missed call, chat, into the contractor's existing CRM (Jobber, Housecall Pro, ServiceTitan, QuoteIQ) automatically, tagged with where it came from. It eliminates manual entry and makes lead-source performance visible: which channels produce booked jobs, and where the leaks are.

Want to see these mechanisms running on a real business? Every one of them is live on this site right now. Text (949) 575-8399 and watch the speed-to-lead system respond within 2 minutes.