Glossary

What is a large language model (LLM)?

A large language model, or LLM, is an AI system trained on very large amounts of text to predict the next words in a sequence. That simple task lets it write, summarise, translate and answer questions in fluent language. Claude, GPT and Gemini are examples. In sales tools, an LLM drafts messages and reads replies.

Published by Sellinger AI. Numbers and settings checked on 24 October 2026 against the fact register. Report an error.

What does an LLM do well in sales?

  • Drafting a first message from facts about a person and a company.
  • Summarising a long thread or a company website.
  • Reading a reply and sorting it: interested, not now, wrong person, opt out.
  • Writing in the prospect's language.
  • Turning rough notes into a clear follow up.

Where do LLMs fail?

They can state things that sound right and are not, which is called hallucination. They know only what they were trained on and what you give them, so a model without your price list will guess a price. And they write fluently even when the input is thin, which can hide a poor list or an unclear offer. Good tools reduce these risks with retrieval from your own documents, rules and human review.

What should you check in a tool built on an LLM?

Questions for any LLM based sales tool
Where do the facts in a message come from?Messages should use your knowledge base and the prospect's public data, not guesses
What happens when the model does not know?It should hand over, not invent
Can a person approve messages?Review catches what rules miss
Can you read every message sent?You are responsible for what goes out in your name

How Sellinger handles it

The agent researches each prospect, writes the first message and every follow up, answers the replies and books the meeting on your calendar. It answers from your knowledge base, your persona and your rules. A campaign can run in approval mode, where every message waits for a person to approve it, or send automatically. A person can take over any conversation, and the agent stops on its own when it cannot answer, for example a price it has no answer for.

You can also work with Sellinger from Claude or ChatGPT through the MCP connector.

Common questions

Is an LLM the same as an AI agent?
No. The LLM is the language engine. An agent adds goals, tools, memory and rules, and acts over time.
Which LLM is best for sales?
The model matters less than the inputs and controls: the list, the knowledge base, the rules and review.
Do LLMs learn from my messages?
That depends on the provider and contract. Ask each vendor how your data is used.

Sources and method

General AI practice. Sellinger behaviour from the fact register, checked 24 October 2026.

Related: AI hallucination, Retrieval augmented generation, AI sales agent, ChatGPT or Claude to run outreach.

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