AI SDR Glossary: 25 LinkedIn B2B Prospecting Terms (2026)

This glossary brings together the 25 definitions most frequently searched by founders, consultants, and B2B SDRs prospecting on LinkedIn in 2026. Every term is defined in plain language — no unnecessary jargon — with real benchmarks where available.

TL;DR: An AI SDR is AI software that automates prospecting; SSI measures LinkedIn authority (0–100); a cadence is a structured sequence of outreach touchpoints; global B2B LinkedIn connection acceptance benchmarks average 25–30%; the average SMB LinkedIn sales cycle runs 30–40 days.

This glossary covers the core concepts of AI SDR, Social Selling, Cadence, Automation, Benchmarks, Proprietary Frameworks, and Prospecting Metrics — organized alphabetically for quick reference.

A

AI SDR

AI SDR is artificial intelligence software that automates prospecting, qualification, and engagement on LinkedIn — replacing or amplifying the manual work of a human SDR. Unlike traditional automation tools, an AI SDR reads the context of each conversation and suggests — or executes — personalized messages at scale, without losing relevance per recipient. According to the Salesforce State of Sales Report, 81% of sales teams are investing in AI, with prospecting automation among the top three use cases. Chattie is a LinkedIn-native AI SDR built for B2B teams and founders operating globally.

Acceptance Rate (Connection)

Acceptance rate is the percentage of LinkedIn connection requests sent that are accepted by the recipient. It is the first conversion metric in any LinkedIn outreach funnel and directly determines the size of the addressable audience for follow-up messages. Industry benchmarks suggest a healthy B2B acceptance rate falls between 25% and 35% for cold outreach with a personalized note; rates below 20% typically indicate either poor ICP targeting or a message that reads as promotional at first glance. Acceptance rate should never be optimized in isolation — a high acceptance rate paired with a near-zero reply rate signals a disconnect between connection strategy and message quality.

Automation (LinkedIn)

LinkedIn automation is the use of tools or scripts to execute repetitive actions on the platform — connection requests, messages, follows, and profile views — without manual intervention at each step. Safe automation tools operate within LinkedIn's Terms of Service, using API integrations or assisted interaction; aggressive tools simulate human behavior via browser extensions and carry meaningful risk of account restriction or permanent ban. According to LinkedIn's own policy documentation, automated actions that mimic human behavior at scale violate platform rules regardless of the tool used. The distinction between permitted and prohibited automation is the most consequential decision in any LinkedIn prospecting tool selection.

B

B2B Prospecting

B2B prospecting is the systematic process of identifying, researching, and initiating contact with companies and decision-makers who match an Ideal Customer Profile (ICP), with the goal of creating qualified sales opportunities. On LinkedIn, prospecting combines profile-level research, connection outreach, follow-up cadences, and content engagement into a repeatable funnel. The LinkedIn State of Sales Report 2024 found that 78% of social sellers outperform peers who don't use social media for prospecting, underscoring LinkedIn's structural advantage in B2B pipeline development.

Benchmark (Prospecting)

Prospecting benchmark is a performance reference used to evaluate whether the results of a LinkedIn outreach operation are within expected ranges for the market and segment. Without a benchmark, it is impossible to determine whether a 6% reply rate represents strong or weak performance. Industry benchmarks for global B2B LinkedIn prospecting suggest: connection acceptance rate 25–30%, reply rate 8–12%, and SMB sales cycle 30–40 days. Benchmarks vary significantly by industry vertical, seniority of target persona, and whether a personalized connection note was included. Always compare against segment-specific baselines rather than aggregate averages.

C

Cadence (Prospecting)

Prospecting cadence is the structured, repeatable sequence of messages sent to a prospect across multiple touchpoints, with pre-defined time intervals and angle variations. A cadence is not spam — each message carries a distinct angle (value proposition, use case, social proof, urgency) and treats prospect silence as a signal rather than an invitation to repeat the same message. A standard LinkedIn B2B cadence runs 4–6 touchpoints distributed over 14–21 days. According to the HubSpot State of Marketing Report, prospects require an average of 5 or more touchpoints before engaging — making structured cadences structurally superior to one-shot outreach.

Cadence (Multichannel)

Multichannel cadence is a prospecting cadence that coordinates more than one contact channel — LinkedIn + email, LinkedIn + WhatsApp — in logical sequence, rather than repeating the same channel indefinitely. Channel migration happens in response to prospect behavior triggers, not arbitrary time criteria. A well-structured multichannel cadence increases conversion probability by meeting the prospect on the channel where they are most responsive at each stage of the conversation. The Salesforce State of Sales Report notes that top-performing sales teams use an average of 3+ communication channels in their outreach sequences.

Cold Outreach

Cold outreach is the act of initiating unsolicited contact with a prospect who has had no prior relationship with the sender. On LinkedIn, cold outreach typically begins with a connection request — with or without a note — followed by a structured message sequence after acceptance. The quality of cold outreach is determined not by volume but by relevance: how precisely the message speaks to a specific pain point of the target persona. Industry data suggests that personalized cold messages on LinkedIn achieve reply rates 3–5x higher than generic templates, making personalization the primary lever for cold outreach performance.

Conversion Rate (Funnel)

Conversion rate in a LinkedIn prospecting funnel refers to the percentage of prospects who move from one stage to the next: sent → accepted → replied → meeting booked → deal closed. Each stage has its own conversion rate, and the cumulative product of all stage rates equals the end-to-end funnel efficiency. A common mistake is optimizing only for top-of-funnel metrics (acceptance rate) while ignoring mid-funnel drop-offs (reply-to-meeting rate). A complete picture requires tracking all stage transitions simultaneously.

D

Decision Maker

Decision maker is the individual within a target organization who has the authority — and the budget — to approve a purchase. On LinkedIn, decision makers are identified through a combination of title signals (VP, Director, Head of, C-suite), company size, and department. In B2B sales, the decision maker is not always the first person to respond to outreach; champions and influencers frequently initiate contact before escalating internally. Effective LinkedIn prospecting maps the full buying committee, not just the formal approver. LinkedIn research indicates that the average B2B purchase involves 6–10 decision makers.

F

Follow-Up

Follow-up is any subsequent message sent to a prospect after an initial outreach attempt that did not generate a response or a sufficient response. On LinkedIn, follow-ups are the structural backbone of any cadence — the data consistently shows that the majority of replies come from the second, third, or fourth touchpoint, not the first. A follow-up should never be a verbatim repeat of the previous message; each touchpoint must introduce a new angle, piece of evidence, or context shift to justify re-engagement. Industry benchmarks suggest that 80% of sales require at least 5 follow-up attempts, yet most sellers stop after one or two.

I

ICP (Ideal Customer Profile)

ICP (Ideal Customer Profile) is the detailed definition of the company type that generates the most value for a business — and for which the business generates the most value in return. On LinkedIn, ICP is operationalized through filters: company size, industry vertical, geography, growth stage, technology stack, and hiring signals. A well-defined ICP is the foundation of any effective LinkedIn prospecting operation — without it, even a technically perfect cadence will produce low conversion rates because the outreach is directed at the wrong targets. ICP is not the same as a buyer persona; ICP describes the company, while persona describes the individual contact within it.

InMail

InMail is LinkedIn's native paid messaging feature that allows users to send messages to LinkedIn members who are not yet first-degree connections. InMail credits are included in LinkedIn Premium and Sales Navigator plans. InMail bypasses the connection request step and can reach prospects directly — but at higher cost per contact and with no guarantee of higher reply rates compared to connection-based outreach. Industry data suggests InMail reply rates average 10–25% for well-targeted messages, though rates vary significantly by persona seniority and message quality.

L

Lead

Lead is a prospect who has demonstrated some level of interest or qualification that distinguishes them from a cold contact — whether through responding to outreach, engaging with content, or fitting a predefined ICP threshold. In LinkedIn B2B prospecting, the term is used loosely and often conflated with MQL (Marketing Qualified Lead) or SQL (Sales Qualified Lead). A rigorous definition separates leads by stage: a connection who accepted a request is not a lead; a connection who replied and expressed interest in a conversation is. Clarity on what constitutes a lead in each organization is essential for accurate pipeline forecasting.

LinkedIn Sales Navigator

LinkedIn Sales Navigator is LinkedIn's premium prospecting tool, offering advanced search filters, lead and account saving, InMail credits, and CRM integration. Sales Navigator provides access to filters unavailable in the free version — including company headcount growth, technology used, and recent leadership changes — enabling more precise ICP targeting. According to LinkedIn's own benchmarks, Sales Navigator users generate 45% more pipeline than non-users on average. The tool is most valuable when paired with a structured prospecting cadence rather than used for ad hoc outreach.

M

Message Personalization

Message personalization is the practice of tailoring outreach content to specific characteristics of each prospect — their role, recent activity, company news, content they've published, or pain points relevant to their profile — rather than sending a generic template to everyone. On LinkedIn, personalization operates on a spectrum: from simple variable substitution (first name, company) to contextual references that demonstrate genuine research. The LinkedIn State of Sales Report 2024 found that 86% of buyers are more likely to engage with a seller who demonstrates knowledge of their business. AI SDR tools like Chattie enable contextual personalization at scale by reading prospect profiles and suggesting message variants without manual research per contact.

MQL (Marketing Qualified Lead)

MQL (Marketing Qualified Lead) is a lead that has been assessed by marketing criteria as ready for sales engagement — typically based on engagement with content, fit with ICP filters, or a combination of behavioral and demographic signals. In LinkedIn-driven prospecting, the MQL concept is often compressed or eliminated because outreach is inherently targeted: the SDR or AI SDR already applies ICP criteria before initiating contact, so the marketing qualification step is embedded in targeting rather than applied afterward. In outbound-heavy LinkedIn operations, the practical equivalent of MQL is a prospect who has both accepted a connection and replied to at least one message.

O

Outbound Prospecting

Outbound prospecting is seller-initiated contact with potential buyers who have not expressed prior interest — as opposed to inbound, where the prospect initiates contact. LinkedIn is primarily an outbound channel for most B2B sales teams, with sellers identifying targets and initiating conversations. The McKinsey B2B Sales AI research found that AI-augmented outbound teams reduce prospecting time by up to 40% while maintaining or improving conversion rates. Effective outbound on LinkedIn requires a clear ICP, a structured cadence, and message personalization to overcome the inherent cold-contact barrier.

P

Pipeline

Pipeline is the aggregate of all active sales opportunities at various stages of the sales process, quantified by expected revenue and probability of close. In LinkedIn B2B prospecting, pipeline is built through the consistent conversion of cold contacts into qualified conversations. A healthy pipeline requires both volume (sufficient number of opportunities) and velocity (opportunities moving through stages at expected rates). Industry benchmarks suggest that to close one deal, B2B sellers need approximately 10–20 active opportunities in their pipeline at any given time, depending on average deal size and conversion rates.

Prospecting (LinkedIn)

LinkedIn prospecting is the end-to-end process of using the LinkedIn platform to identify, evaluate, contact, and advance potential buyers through a sales funnel. It encompasses profile optimization (to establish credibility before outreach), ICP-based targeting (to select the right contacts), connection outreach (to initiate the relationship), cadenced follow-up (to advance the conversation), and pipeline tracking (to measure outcomes). LinkedIn prospecting differs from other outbound channels in that the platform itself serves both as a research database and a communication channel — compressing the research-to-contact workflow relative to email-based prospecting.

Q

Qualification

Qualification is the process of determining whether a prospect has the characteristics — budget, authority, need, and timeline (BANT) — that make them a viable sales opportunity worth investing further time in. On LinkedIn, initial qualification happens through profile research before outreach and deepens through the conversation itself. An AI SDR can assist with pre-qualification by filtering prospects against ICP criteria before any human time is invested, and with in-conversation qualification by flagging responses that indicate fit or disqualification signals. Accurate qualification prevents pipeline inflation — the common problem of counting prospects who will never buy as active opportunities.

R

Reply Rate

Reply rate is the percentage of messages sent that receive a response from the prospect. It is the primary mid-funnel conversion metric in any LinkedIn outreach operation and a more meaningful indicator of message quality than acceptance rate alone. Industry benchmarks for B2B LinkedIn outreach suggest reply rates of 8–12% for cold outreach with strong personalization; rates below 5% typically indicate message quality issues, poor ICP targeting, or both. Reply rate should be analyzed by message position in the cadence — early touchpoints typically have lower rates, while follow-ups often outperform the initial message.

S

Sales Cycle

Sales cycle is the elapsed time between first contact with a prospect and deal close, measured in calendar days. On LinkedIn, the sales cycle is shaped by deal complexity, number of decision makers involved, and the level of trust established through the outreach sequence. SMB deals closed via LinkedIn prospecting typically run 30–40 days; mid-market deals extend to 60–90 days; enterprise deals often exceed 120 days. Reducing sales cycle length without sacrificing deal quality is one of the primary performance levers in B2B prospecting — and one of the documented benefits of structured cadence approaches.

SDR (Sales Development Representative)

SDR (Sales Development Representative) is a sales role focused exclusively on the top of the funnel — prospecting, outreach, and qualification — with the goal of generating meetings or opportunities for Account Executives to close. SDRs do not own the full sales cycle; their output is qualified conversations, not closed deals. The distinction between SDR and AE (Account Executive) reflects the specialization logic of modern B2B sales teams: separating pipeline generation from deal closing increases efficiency in both roles. AI SDR tools are designed to augment or replace the most repetitive components of the SDR function — message sequencing, follow-up, and initial qualification — while keeping human judgment in the loop for complex conversations.

Social Selling

Social selling is the practice of using social media — primarily LinkedIn for B2B — to build relationships, establish authority, and generate pipeline through genuine engagement rather than cold-call-style interruption. Social selling is not content marketing; it combines profile presence, proactive outreach, and reactive engagement (commenting, reacting, sharing insights) into a coordinated strategy. The LinkedIn State of Sales Report 2024 found that sales professionals with high Social Selling Index (SSI) scores create 45% more pipeline and are 51% more likely to hit quota than those with low scores.

SQL (Sales Qualified Lead)

SQL (Sales Qualified Lead) is a lead that has been assessed by sales criteria as ready for a direct sales conversation — typically because they have expressed intent, confirmed budget authority, or acknowledged a relevant need. On LinkedIn, an SQL is most commonly identified when a prospect responds to outreach with a request for more information, asks for pricing, or agrees to a call. The MQL-to-SQL conversion rate is a key efficiency metric: it measures how well the prospecting process is pre-qualifying targets before sales time is invested. Industry benchmarks suggest MQL-to-SQL conversion rates of 13–20% for well-targeted LinkedIn campaigns.

SSI (Social Selling Index)

SSI (Social Selling Index) is LinkedIn's proprietary 0–100 score that measures a user's social selling effectiveness across four dimensions: establishing professional brand, finding the right people, engaging with insights, and building relationships. LinkedIn updates SSI scores daily and benchmarks them against industry peers and network contacts. LinkedIn's own research indicates that sales professionals with SSI scores above 70 generate significantly more pipeline than peers below 40. SSI is not a vanity metric — it correlates with account visibility, connection acceptance rates, and the reach of organic content.

T

Touchpoint

Touchpoint is any individual point of contact between seller and prospect within a prospecting cadence — a connection request, a follow-up message, a content interaction, or a channel switch. Each touchpoint should serve a distinct purpose and introduce a new angle rather than repeat previous messaging. The cumulative effect of multiple touchpoints, spaced appropriately and varied in approach, is what converts a cold contact into a qualified conversation. Research consistently shows that most B2B deals require 5 or more touchpoints — making touchpoint design one of the highest-leverage variables in prospecting performance.

W

Warm Outreach

Warm outreach is contact initiated with a prospect with whom there is some prior connection or shared context — a mutual connection, a LinkedIn content interaction, a conference encounter, or a referral. Warm outreach consistently outperforms cold outreach across every metric: acceptance rate, reply rate, and conversion to meeting. On LinkedIn, warm outreach opportunities can be systematically created by engaging with a prospect's content before sending a connection request — a practice that increases acceptance rates by establishing recognizability before the outreach message arrives. AI SDR tools can track engagement signals and flag prospects who have interacted with content, enabling sellers to prioritize warm contacts at scale.

Quick Reference Table

Term	Category	Key Metric
AI SDR	Technology	Automates prospecting at scale
Acceptance Rate	Metric	Benchmark: 25–35% cold outreach
Cadence	Process	4–6 touchpoints over 14–21 days
ICP	Strategy	Foundation of all targeting
Reply Rate	Metric	Benchmark: 8–12% with personalization
Sales Cycle SMB	Metric	Benchmark: 30–40 days via LinkedIn
SSI Score	Metric	0–100; above 70 correlates with higher pipeline
SQL	Classification	Prospect confirmed intent or agreed to call
Touchpoint	Process	Each message needs a distinct angle
Social Selling	Methodology	SSI over 70 = 45% more pipeline

FAQ

What is the difference between an AI SDR and a traditional automation tool?

A traditional automation tool executes pre-programmed sequences — send connection request, wait X days, send message — without reading conversational context. An AI SDR reads the prospect's profile, recent activity, and conversation history to suggest or generate contextually relevant messages. The practical difference is personalization quality at scale: automation tools send the same template to everyone; AI SDRs adapt the message to each recipient. This distinction is what separates tools that generate replies from tools that generate LinkedIn account restrictions.

What is a realistic connection acceptance rate for cold LinkedIn B2B outreach?

Industry benchmarks suggest 25–35% for cold outreach that includes a personalized connection note targeting a well-defined ICP. Rates below 20% typically signal one of three problems: poor ICP fit (targeting the wrong people), a note that reads as promotional (triggering rejection), or an under-optimized sender profile (low SSI, incomplete profile, no mutual connections). Above 40% is achievable for warm outreach or highly targeted niche campaigns.

How many touchpoints does a LinkedIn B2B cadence need?

A minimum of 4 touchpoints is required for statistically meaningful results — the majority of LinkedIn B2B replies come from touchpoints 2 through 4, not the initial message. A standard cadence of 5–6 touchpoints over 21 days captures the majority of prospects who will convert; beyond 6 touchpoints with no response, the marginal return drops significantly and the risk of being marked as unwanted contact increases. Each touchpoint must have a distinct angle: repeating the same message is not a cadence, it is spam.

What is the difference between MQL and SQL in a LinkedIn prospecting context?

An MQL (Marketing Qualified Lead) has been assessed as fitting ICP criteria — the right company size, industry, and role — but has not yet expressed active interest. An SQL (Sales Qualified Lead) has both fit criteria and demonstrated intent — they responded to outreach, asked a question, or agreed to a conversation. In outbound LinkedIn prospecting, the MQL-to-SQL step is compressed because targeting is applied before outreach; a prospect who replies and engages is effectively an SQL by the time human sales time is invested.

When should a LinkedIn prospecting cadence migrate to another channel?

Channel migration — from LinkedIn to email or WhatsApp — should be triggered by behavior, not time. The primary triggers are: the prospect has accepted the connection but not replied after 2–3 touchpoints (email follow-up), or the prospect has expressed interest in a call and a more immediate channel would accelerate scheduling (WhatsApp). Arbitrary time-based migration ("after 7 days, switch to email") is less effective than behavior-triggered migration because it ignores the prospect's engagement state at the moment of the switch.

How Chattie Applies These Concepts

Understanding the terms in this glossary is the starting point. Applying them in a systematic, scalable daily operation is the execution challenge.

Chattie is a LinkedIn-native AI SDR that operationalizes these concepts — ICP targeting, cadence design, personalized message generation, SSI-aware outreach limits, and multichannel migration triggers — into a single workflow. Rather than configuring separate tools for each function, Chattie integrates the full prospecting loop from target identification to qualified conversation handoff.

For founders and SDR teams who want to build pipeline on LinkedIn without the manual overhead or the account restriction risk that comes with aggressive automation, Chattie provides the infrastructure to run a professional-grade outreach operation at the pace of a full SDR team.

→ See how Chattie works

This glossary is updated periodically to reflect platform changes, new benchmark data, and emerging terminology in the AI SDR and LinkedIn B2B prospecting space. Last updated: August 2026.