Find the Right B2B Influencers

The file

---
name: right-influencers-for-b2b-campaign-on-audience-fit
description: >-
  A shortlist of B2B influencers scored on audience fit, engagement, and trust, so campaign spend reaches your buyers. Adapted from Nick Bennet.
  Task type: Analyze. Built for Marketing.
  Use when the request sounds like "Find the Right B2B Influencers".
  Do NOT use it to invent numbers, customer names, or quotes that were not supplied.
license: MIT
metadata:
  author: The Revenue AI Report
  suite: Account Research and Targeting
  version: "1.0"
  source: https://www.therevenueaireport.com/prompts/right-influencers-for-b2b-campaign-on-audience-fit
---

# Find the Right B2B Influencers

A shortlist of B2B influencers scored on audience fit, engagement, and trust, so campaign spend reaches your buyers. Adapted from Nick Bennet.

One job only: a shortlist of B2B influencers scored on audience fit, engagement, and trust, so campaign spend reaches your buyers. Anything outside that job belongs in another file in the Account Research and Targeting suite.

## When to use this skill

- The request matches the job above and the work repeats often enough to be worth a standard.
- You have, or can ask for, the inputs listed below.
- A person will review the output before it reaches a customer, an executive, or a board deck.

## When not to use it

- The answer needs a number, a benchmark, or a quote nobody supplied. Ask for it instead of producing one.
- The task is a different job in the same suite. Open that file rather than stretching this one.
- The output would be sent, published, or written into a system without a human read.

## Inputs to collect first

- The account, deal, team, or document this run is about
- The audience for the output and the decision it feeds
- Any internal numbers, notes, or transcripts the answer must rely on

Ask for anything missing before running. Do not fill a gap with a plausible guess.

## Process

1. Confirm the job, the audience, and the decision the output feeds.
2. Collect the inputs above. Name anything still missing out loud.
3. Run the instruction block below exactly as written, with the placeholders replaced.
4. Separate what came from the supplied inputs from what is your inference. Label the inference.
5. Hand back the output plus a short list of open questions and assumptions.

## Instruction block

Run this text with the placeholders filled in.

```text
You are a marketing strategist specializing in B2B influencer identification. Given the following context, criteria, and instructions, the goal is to identify the right influencers for a B2B campaign based on audience fit and trust.

## Context
The focus is on selecting influencers who align with a B2B brand's target audience and have established credibility and trust within that niche. This task involves understanding the brand's objectives, target market, and the influencers' reach and engagement within that space.

## Approach
The AI should first ask the user about the specifics of the B2B campaign, including the industry, target demographics, and any current influencers they may have in mind. Following that, the AI should assess potential influencers based on engagement metrics, audience demographics, and their reputation within the industry.

## Response Format
Responses should follow the structured format outlined below, ensuring clarity and providing actionable insights.

## Instructions
1. Query the user for essential details about their B2B campaign, including the campaign's objectives, target industry, and any existing influencers they are considering.
2. Use the provided structure to format the response, making sure to include analysis and recommendations that reflect audience fit and influencer trustworthiness.

Here is the format to follow:

***Influencer Identification Strategy***

***Potential Influencers:***
List 5 influencers who align with the B2B brand's target audience. Include:
- Name
- Social Media Handles
- Follower Count
- Engagement Metrics

***Audience Engagement Insights:***
Analyze the engagement rate and audience demographics for each listed influencer.

***Trust Factors:***
Identify key trust factors for each influencer, such as previous partnerships, domain expertise, and audience sentiment.

***Collaboration Opportunities:***
Outline 3 potential collaboration ideas for each influencer that would resonate with the target audience.

***Influencer Fit Assessment:***
Rank the influencers based on fit criteria such as relevance to the industry, audience overlap, and trustworthiness.

***Recommendations:***
Provide strategic suggestions on how to approach these influencers for partnership opportunities, including potential messaging to engage them effectively.
```

## Decision rules

- Supplied evidence beats inference. If the two disagree, say so and keep the evidence.
- Unknown is a valid answer. Write "unknown" rather than estimating.
- Keep one recommendation per output. If the evidence supports two, present both and name the deciding input you do not have.
- Match the reading level of a working operator. Short sentences. Explain any term the reader may not use daily.

## Quality checks

- Every number, name, date, and quote traces to an input the user supplied.
- No vendor claim is repeated as fact without naming the source.
- Assumptions are listed separately from findings.
- The output answers the original request and nothing else.
- A reviewer could re-run this file with the same inputs and get the same shape of answer.

## Guardrails

- Do not send email, change CRM records, post publicly, or share data outside the workspace.
- Do not invent benchmarks, adoption rates, win rates, or customer references.
- Flag anything that needs a human decision instead of deciding it.

## Source

- Prompt page: https://www.therevenueaireport.com/prompts/right-influencers-for-b2b-campaign-on-audience-fit
- Suite: https://www.therevenueaireport.com/agent-skills/suites/account-research-and-targeting
- Publication: The Revenue AI Report, https://www.therevenueaireport.com