The Digital Accomplice Video Strategy, in One Page

I sell documented video strategy, so I should have a documented video strategy for Digital Accomplice.

This is the one-page version: goals, audience, content, channels, gaps, and the next things I need to make.

The business goal

Digital Accomplice does not need more video for the sake of more video.

The goal is to help B2B founders and marketing leaders believe three things:

1. AI search is changing how buyers discover and evaluate companies.
2. Human-centered video is one of the best ways to become visible, trusted, and citable in that environment.
3. Digital Accomplice has a practical process for turning expert conversations into useful assets.

The commercial goal is to create more qualified conversations for the AI Visibility Snapshot, the Video Strategy sprint, and ongoing content-engine work.

The audience

This strategy is for:

• B2B SaaS, AI, and cybersecurity founders.
• CMOs and marketing leaders who need video to move pipeline.
• Teams with real experts worth putting on camera.
• Companies that know AI search matters, but do not know what to do about it yet.
• Buyers who are choosing between doing nothing, hiring freelancers, using AI video tools, building in-house, or working with a strategy-first partner.

It is not for consumer brands, generic social content, one-off hype reels, or push-button AI video.

What the buyer needs to believe

The content has one job: help the right buyer believe the right thing before the sales call.

1. Their buyers are already asking AI tools and Google AI Overviews for recommendations.
2. If their company is not visible in those answers, they are losing trust before the first sales call.
3. Video is not just a polished deliverable. It is a source of expert answers, transcripts, metadata, proof, and human trust.
4. Random video will not fix the problem. The work needs strategy, structure, distribution, and measurement.
5. Digital Accomplice understands both the creative side and the business side.

What already exists

Digital Accomplice already has a strong top- and middle-funnel content engine.

• Website: service pages, guides, case studies, blog posts, and a sample strategy guide.
• YouTube: expert interviews, solo clips, shorts, transcripts, and AI-search test assets.
• LinkedIn: live point of view, public testing, relationship-building, and fast feedback.
• Guides: executive buy-in, AI search, pre-purposing, video ROI, partner selection, and a sample strategy handoff.
• Proof: a GEO test where Google AI Overview surfaced matching DA/Dane YouTube videos for 7 of 32 Google prompts, while ChatGPT, Perplexity, and Gemini showed no visible direct DA citations in that same checkpoint.

That last point is not a universal claim. It is better than that. It is a real, bounded proof point.

The channel plan

YouTube: publish the source videos and structured expert answers that Google and AI systems can find.

The blog: turn transcripts and ideas into AI-readable pages that answer specific buyer questions.

LinkedIn: say the sharp thing in public, test language, build trust, and show the work while it is happening.

Guides: give serious buyers something deeper to read when they need to make the case internally.

Case studies: prove that the work creates outcomes, not just content.

Service pages: explain the offers clearly enough that a buyer can choose the right next step.

Sales follow-up: use the best assets to help real prospects understand the problem, believe the proof, and take action.

The strategy checklist

These are the 15 decisions I would document for a client, applied to my own business:

1. Business goal: Generate qualified Snapshot, Strategy sprint, and ongoing content-engine conversations.
2. Audience: B2B AI, SaaS, and cybersecurity leaders who need video to create trust, visibility, and pipeline.
3. Content ideation: Pull topics from buyer questions, sales calls, AI-search gaps, LinkedIn comments, and client objections.
4. Formats: Expert interviews, solo Dane clips, blog posts, guides, case studies, comparison pages, LinkedIn posts, and sales snippets.
5. Channels: YouTube, the DA website, LinkedIn, Substack, email, and direct outreach.
6. Posting schedule: Keep the interview engine running, but add one decision-stage asset every week.
7. Roles: Dane owns POV and buyer judgment. The system helps with research, drafts, routing, measurement, and reuse.
8. Research and testing: Track AI citations, buyer questions, CTA clicks, guide downloads, calls booked, and which assets sales actually uses.
9. Authenticity policy: No fake authority, no faceless AI slop, no pretending every test proves more than it does.
10. On-camera performance: Dane should answer one buyer question at a time, in plain language, with proof when possible.
11. Production tools: Riverside or webcam capture, YouTube, the DA website, LinkedIn, transcripts, analytics, and the internal revenue command system.
12. Production pipeline: Question backlog, recording, transcript, clip selection, blog post, LinkedIn post, website routing, measurement.
13. Quality control: Every asset must answer one question, name the buyer, avoid vague claims, and point to a useful next step.
14. Measurement: Views are context. The scoreboard is AI visibility, qualified engagement, booked calls, sales usage, and pipeline influence.
15. Budget: Start with the existing engine. Spend extra effort only where it creates proof, conversion, or a reusable system.

The holes

1. This document was missing. I had the client process, but not the public DA version.
2. More bottom-funnel proof is needed. The site has authority content, but needs more recent case studies and mini case studies.
3. The Strategy sprint needs a clearer walkthrough. Buyers should see what happens week by week.
4. The comparison argument needs its own page. Buyers are comparing DA to freelancers, in-house teams, AI video tools, and doing nothing.
5. Measurement needs to get tighter. The content should track from article to guide, Snapshot, booked call, and pipeline.

The bottom-funnel questions to own

The next phase of content should answer the questions buyers ask when they are closer to a decision:

• What does a B2B video strategy include?
• What happens in a Digital Accomplice Video Strategy sprint?
• Do we need a video strategy before we produce more videos?
• Should we hire a video agency, use freelancers, build in-house, or try AI video tools?
• Can AI video tools replace human expert video?
• How do we measure video strategy ROI?
• Where does video fit in the buyer journey?
• What videos should sales teams use after a call?
• How do we get cited in Google AI Overviews?
• What should we test first for AI search visibility?

Those questions are not random blog ideas. They are the sales conversation, written as content.

What to make next

The next content should fill the holes, not add more generic thought leadership.

1. Record a short video explaining this exact strategy.
2. Publish a week-by-week post on what happens inside the Video Strategy sprint.
3. Add at least three more case studies or mini case studies from delivered work.
4. Create a comparison post: Digital Accomplice vs. freelancers vs. in-house vs. AI video tools.
5. Add one decision-stage clip or page to every new expert interview.
6. Keep testing which DA assets show up in AI search, and publish the results carefully.

The strategy in one sentence

Digital Accomplice will use video to prove, in public, that human expert content can make a B2B company more visible in AI search, more trusted by buyers, and easier for sales to move through the funnel.

That is the work. And now it is written down.