How to find software, saas & b2b influencers
The search terms that actually surface software, saas & b2b creators, how to tell a real audience from a bought one in this category, and what to put in the first message. Written so you can do it without hiring anyone.
Search terms that surface them
Searching the category name finds the biggest accounts and nothing else. What works is searching the words creators in this niche put in their own bio and captions, because those are written for their audience rather than for brands:
RevOpsfractional CMObuilding in publicdemand gensolutions engineerno-codeex-Shopifybootstrapped founderARRsales engineer
Two techniques worth more than any tool. First, find one creator who is obviously right and open the accounts they interact with: niches cluster, and their comment sections are full of peers at a similar size. Second, look at who is already posting about your competitors. Those creators have shown they will cover this category and they already know the vocabulary.
Platform by platform
Search the term in the content tab rather than the people tab, then look at who is posting consistently rather than who has the title. Engagement here is much lower in absolute terms and that is normal.
YouTube
Search the term plus a format word such as "review", "haul" or "setup", then filter by upload date within the last month to exclude dormant channels. Check the ratio of views to subscribers on recent uploads; a channel whose recent videos underperform its subscriber count has an audience that has moved on.
X
Search the term and sort by Latest, then look for accounts whose replies get more engagement than their posts. That pattern usually means a real community rather than an audience.
How to vet a software, saas & b2b creator
General advice says look at engagement rate. That is necessary and nowhere near sufficient, and in this category there are specific things to check:
- Have they done the job or only commented on it? Check the employment history against what they claim in posts. An audience of practitioners can tell the difference within two sentences and they will say so in the comments.
- Ask for a screenshot of their audience breakdown by job title and seniority from their own analytics. LinkedIn shows this to the creator. If their readers are people who sell to your buyer rather than your buyer, the reach is real and the relevance is not.
- Look for a post where they said a tool was wrong for someone. A feed of unbroken enthusiasm means the audience has already discounted their recommendations, and you would be buying that discount.
- Read the comments for practitioner questions rather than generic praise. Engagement pods are widespread on LinkedIn and produce a recognisable pattern: the same twenty accounts, within minutes, saying nothing specific about the post.
- Compare impressions against follower count across their last ten posts. LinkedIn reach is only loosely tied to followers, so a 4,000-follower account with consistent 20,000 impression posts is a better buy than a 40,000-follower account nobody sees.
- Check their link in bio and recent posts for an existing affiliate relationship with a direct competitor, and ask outright. In small software categories the overlap is high and the audience knows.
Three checks that apply to every category and catch most problems. Look at follower growth: bought followers arrive as a vertical line that does not line up with any post that performed. Read the last fifty comments across five posts: real comments reference something specific in the post, pod comments are generic, arrive within minutes of posting and come from the same small cluster of accounts every time. And ask the creator for a screenshot of their audience geography from their own analytics, because there is no way to pull another account’s demographics from any platform API. If most of the audience cannot buy your product, nothing else matters.
Calibrate engagement against the tier rather than a flat threshold. Across a 2026 dataset of 3,125 creators, median engagement was around 4.4% on TikTok and 2.7% on Instagram for nano accounts, falling to roughly 1.6% and 1.3% at the 100,000–500,000 mark. Engagement bottoms out in the mid-tier, not at the top. A 1.4% rate on a 300,000-follower account is normal; the same rate on a 12,000-follower account is a question worth asking.
The first message
Most outreach fails because it asks the creator to do work before offering anything. A message that gets answered contains four things and fits in a phone screen: who you are and what the product is, one specific reason you are contacting them rather than anyone else, the budget or at least a band, and exactly what you are asking for. Naming a budget in the first message is the single biggest difference between a reply and silence.
What not to do: ask for their rate card without stating a budget, offer product in exchange for a post without saying so plainly, promise exposure, or send the same message to forty people with the name swapped. Creators in a niche this small talk to each other.
When to do this yourself, and when not to
Do it yourself when you need two or three creators, you have someone with a few hours a week, and you are comfortable writing the contract. The work is finding people, checking them, agreeing terms and chasing delivery. None of it is hard; all of it takes longer than expected.
It stops being worth it at roughly ten creators, or the first time you need usage rights for paid ads, or when a campaign has a date it must hit. At that point the sourcing is the small part and the contracting, briefing, approvals and chasing are the job.
Questions
How do I tell an operator from a commentator before I pay them?
Read thirty of their posts and look for specifics only a practitioner would know: the name of the step that always breaks, the workaround, the number that nobody outside the function tracks. Commentators write about trends and frameworks; operators write about Tuesday. Then check that the job history supports it, and look at whether other people in the same function argue with them in the comments, which only happens to someone the field takes seriously.
What reply rate should I expect approaching B2B creators?
Lower than consumer, and slower. Plan on contacting four or five people for each one you land, allow two weeks for replies, and use email rather than a LinkedIn direct message where you can find an address, because practitioner inboxes on LinkedIn are full of automated outbound. Naming a budget in the first message matters even more here than elsewhere, since most of these people are declining unpaid requests weekly.
Does influencer marketing actually work for B2B software?
It works as a demand creation and credibility channel, not as a direct response one. A well-matched practitioner produces qualified conversations, a rise in people searching your brand name, and material your sales team can send. It does not produce a trackable spike in signups, and any agency promising that in B2B is describing a different category. Judge it on pipeline over a quarter and on self-reported attribution, not on clicks in week one.
How do we measure it when attribution is broken?
Four things together, none of which is clean on its own. Add a how did you hear about us field to the demo form and read it, because in B2B self-reported attribution is the most accurate signal you have. Watch branded search volume and direct traffic in the two weeks after a placement. Give each creator a distinct landing page or code. And if the spend is large enough, hold out a region and compare. Accept a range rather than a number.
Tell us what you need to make.
A brief reply within one business day, from a person. No retainer required to start a conversation.