Plain definitions for the terms that get sold to you
Definitions for the vocabulary used across client acquisition, lead response and AI infrastructure — written plainly, because most of these terms get used to sell before they get explained. 24 terms, each one a complete answer on its own.
By Jayden Forshee ·
Speed to lead — The elapsed time between a prospect submitting an enquiry and the business making its first response attempt. It is measured from the moment the enquiry arrives, not from the moment a person notices it. On competitive enquiries the first substantive response usually wins the job. More →
Lead response automation — Software that contacts every new enquiry within seconds by text, email and a live call attempt, without a person initiating it. It qualifies the enquiry, books the appointment, and escalates to a human the calls that require judgement. More →
AI receptionist — A software system that answers inbound calls in a natural voice, responds to common questions, captures customer information and schedules appointments without a human answering every call. It handles unlimited simultaneous calls and does not keep business hours. More →
AI answering service — A service that answers a business phone using software rather than human operators, billed at a flat monthly rate rather than per minute. Unlike a human answering service it takes every call at once, and unlike voicemail it completes bookings. More →
AI appointment setter — Software that qualifies an enquiry and writes the appointment directly into a live calendar, rather than capturing a request for a person to schedule later. The distinction is that it completes the booking instead of creating a task. More →
Missed-call text back — An automatic SMS sent within seconds of a call to a business going unanswered, inviting the caller to continue by text. It converts a lost call into an open conversation while the caller still has their phone in hand. More →
A2P 10DLC — Application-to-Person messaging over standard 10-digit US phone numbers. Carriers require a business to register its brand and campaign before sending. Unregistered traffic is filtered or dropped, often while the sending dashboard still reports the messages as delivered. More →
AI revenue infrastructure — The connected system of software, automation, communication, data and acquisition tools a business uses to generate demand, capture opportunities, convert prospects and measure revenue. It is infrastructure rather than campaigns — the layer that keeps working between them. More →
Client acquisition system — The connected path a business uses to turn traffic into booked work: enquiry, response, qualification, appointment, follow-up, close and attribution. A system joins those stages; most businesses have all seven present but unconnected. More →
Conversion website — A website built primarily to produce enquiries rather than to display a brand. It is judged on the number of qualified enquiries it generates, and is wired directly to the system that responds to them. More →
CRM automation — Keeping the customer record accurate without manual data entry — records created at enquiry, conversations attached automatically, stages advancing on real events, follow-up firing on its own, and reporting reading from all of it. More →
Business automation — Removing repeated manual work from a business so it happens reliably without someone remembering to do it. The test is whether the number of things a person must remember went down, not whether a tool was installed. More →
Revenue attribution — Connecting money spent on marketing to work actually booked and paid for, rather than to clicks, impressions or raw lead counts. It answers what a booked job cost from each source. More →
Cost per lead (CPL) — Total spend on a channel divided by the number of enquiries it produced. It is a channel-efficiency measure, not a profitability measure, because it says nothing about whether those enquiries were exclusive, qualified, or ever booked. More →
Cost per booked appointment — Total spend divided by the number of appointments actually placed in the calendar. It is a more honest measure than cost per lead because it accounts for lead quality and for how well the business responded. More →
Cost per acquisition (CPA) — Total spend divided by the number of customers actually won. For businesses with long consideration periods it is the only figure that connects marketing budget to revenue, and the hardest of the three cost measures to calculate honestly. More →
Markup vs margin — Markup is profit expressed as a percentage of cost; margin is profit expressed as a percentage of the selling price. The same dollars produce different percentages, so a 50% markup is a 33.3% margin. More →
Inbound lead — An enquiry initiated by the customer — a form submission, phone call, text or message — as opposed to an outbound contact initiated by the business. Inbound enquiries carry far higher intent and are the ones most damaged by slow response. More →
Qualified lead — An enquiry confirmed to match what the business actually wants: the right service, in the service area, at a viable scale, from someone with authority to proceed. Qualifying before dispatch is what prevents wasted visits. More →
Lead nurture — The sequence of follow-up contacts sent to an enquiry that did not convert immediately. Most enquiries go quiet rather than saying no, and the difference between one contact attempt and a structured sequence is usually where pipeline is lost. More →
Local SEO — The practice of being found in search results and map listings for a specific geographic area. For service businesses it centres on the Google Business Profile, location-relevant pages, and consistent business information across the web. More →
Local Services Ads (LSA) — Google advertisements that appear above standard search ads for local service categories, billed per lead rather than per click and requiring business verification. They occupy the top of the results page and behave differently from standard Google Ads. More →
AEO (Answer Engine Optimization) — The practice of making a business understandable and citable by AI answer engines such as ChatGPT, Perplexity, Gemini and Google AI Overviews. It depends on entity clarity, structured data, direct answers and independent corroboration rather than keyword density. More →
GEO (Generative Engine Optimization) — Another name for optimising content and entity data so generative AI systems can retrieve, understand and cite a business. Used interchangeably with AEO; both describe visibility inside AI-generated answers rather than inside a ranked list of links. More →