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November 2, 2026

·Video Strategy·Dane Frederiksen

How to Choose Your Next B2B Video and Measure It

Choose your next B2B video around a commercially relevant buyer question, evidence of demand and a visibility gap. Study the sources already appearing,...

Choose your next B2B video around a commercially relevant buyer question, evidence of demand and a visibility gap. Study the sources already appearing, create a useful answer, then measure what happened and revise the weak part.

Key Takeaways

  • Start with the service you want to sell and a buyer question connected to it.
  • Use Peec AI to examine relative demand, brand visibility and retrieved sources.
  • A retrieved comparison video can suggest an experiment. It does not prove video is the best format for every question.
  • Apply the same criteria to every vendor when making a company comparison.
  • Use audience drop-off to identify an editing priority, then measure again after revising.

This fits inside a bigger picture. If you want the full view first, here's the bigger picture.

Start with the buyer question and business fit

In this short walkthrough, I start with B2B video production because that is the service I am focused on selling. That gives the topic a business purpose before I look at a dashboard.

I select a prompt with a high demand estimate in Peec AI, then examine the brands and sources appearing for it. The useful question is not simply whether a topic is popular. It is whether the topic connects a buyer's need with the work I can help them do.

Peec's Volume indicator is a relative estimate, not a count of monthly searches. Keep that distinction when choosing topics or explaining the research to a client. A high estimate supports investigating a question; it does not establish that a particular video will win business.

Inspect what is already being retrieved

The recording shows me opening YouTube source results and inspecting a list-style comparison video. The dashboard displays retrieval activity for that source in its selected window.

That is a reason to study the example. It is not proof that YouTube is the leading source for this individual buyer question, or that making another video will produce the same result. Written comparison pages can also contribute to an answer.

I look at what the existing comparison emphasizes. My reading is that the publisher positions its own agency around systems that convert and creative assets that can be reused across campaigns. The issue I want to improve is consistency: the same evaluation questions should apply to all the companies in the comparison.

This is my interpretation of the example I reviewed, not an independent finding about those companies' results.

Give every vendor the same evaluation

For my own comparison, I use six questions:

  1. Who is the company for?
  2. What is the scope of its work?
  3. Which formats does it make?
  4. What production value does it offer?
  5. What does it cost?
  6. What are its specialties?

Those questions make the comparison easier for a buyer to follow. They also make it easier to see where a provider might fit, instead of treating one company as the answer to every possible brief.

I include my own company in the evaluation. In the recording, I acknowledge that applying the criteria consistently was harder than I expected. That is a useful check on a supplier-written comparison: the publisher needs to face the same questions as everyone else.

When information is missing, ask the supplier to confirm it. An absent website statement is not proof that a company lacks a service. Cost also needs a current, scoped quote.

Measure where the audience leaves

After making the comparison video, I look at its performance and say I was losing viewers after about a minute. My next priority is to tighten the opening.

That is an audience-retention observation. It is separate from whether the video is retrieved or cited in an AI answer. A retention problem suggests work on the viewing experience; it does not, by itself, establish an AI visibility problem.

The useful move is to connect the observation with a specific revision. In this case, that means getting to the promise and useful comparison sooner. The walkthrough does not show a measured improvement after that revision, so there is no before-and-after success claim here.

Revise and repeat

The process ends by returning to the work: plan, build, measure, revise and repeat. Use the result to choose what deserves attention next rather than assuming the first version is finished.

For a vendor comparison, that includes reviewing both the opening and the consistency of the evaluation. The goal is an answer that helps a buyer make a decision and gives you something concrete to learn from.

If you are unsure which buyer questions your next video should answer, start with a free AI Visibility Snapshot.

Doing the thing is the easy part. The hard part is knowing where you're already winning and where you're invisible. That's exactly what our free AI Visibility Snapshot shows you, before you spend a dollar.

Frequently Asked Questions

How should I choose my next B2B video topic?

Start with a buyer question connected to a service you want to sell. Check demand and visibility, then inspect the sources already appearing for that question.

Does a retrieved YouTube video prove video is best?

No. It shows that a particular video appeared in the observed results. Treat it as a source of ideas for an experiment, alongside relevant written sources.

What criteria can I use for a vendor comparison?

Compare audience, scope, formats, production value, cost and specialties. Apply the same questions to your own company and the other suppliers.

What should I do when viewers leave early?

Review the opening for delayed value, unnecessary setup or a mismatch with the promise. In this walkthrough, tightening the opening is the next revision I identify.

Does this walkthrough prove the revision improved results?

No. It identifies a retention issue and a planned response. A later measurement is needed to assess the revision.

Full Video Transcript

Here's how to choose your next video to make and then measure its performance and revise based on what you see. I'm going to show you how to do this step by step. We use peak AI. So I'm focused on selling B2B video production. So I'm going to just start there. And this prop right here I'm going to pick because it has a high volume of search right there. So that's the thing I'm hoping to rank for right now. If I look at for that question that prompt we can look at the sources and the brands that are mentioned. Looks like I'm number 10 here which is less than we want. So we're making video. We're going to go to YouTube and we're going to look at what's actually moving. It looks like this is getting 10 retrieval and it's a listicle. So we're going to click on that. And then based on what we learned in this video when I watched it we had a few takeaways. Basically he is reviewing different agencies and the criteria was they rank number one for themselves because they build systems that convert and they make creative elements that can be repurposed and you're not reinventing the wheel with every ad campaign. And so by that criteria that's how we were sort of judging their own company but it didn't seem like they were doing that for other companies as well. They were just talking about what the other companies did. And so I thought it would be helpful to just have a criteria that you could use across the board which basically was who are they for? What's the scope of their work? What formats do they do? What production value? What do they cost and what are the specialties? After going through and doing that I made my own video and then I saw from the performance over here that I was losing people after about a minute. So that told me, hey I need to go through and do a better job at retention. So we're going to tighten the opening because of the really viewer drop off. So that's priority number one. So and then once I do that I want to make sure that I'm going through each of the competitors I compare myself to by the same criteria to at least have the attempt at objectiveness which I find actually was a little more difficult than I was hoping. So anyway that's the big idea. Once you go through and you measure how your stuff is performing, you repeat the process. You know first you plan and you build revise repeat. So that's the big idea. I hope that helps. Good luck.

Most teams don't get this right on the first try. Here's how we approached it for a real team. Curious what it'd look like for you? Let's talk it through.