HyperFrames with Claude: short videos from real competitor and AI visibility data

The connector is hosted by HeyGen and lets a chat call HyperFrames creation and rendering tools through your HeyGen account, with nothing installed locally. Its listing shows two tools, compose and render_video, both classed as write. Compose builds the video from your description, and render_video produces the file. HeyGen's guide says the render runs on hosted infrastructure and that MP4 is the normal sharing format, with WebM and MOV as options.

HeyGen's own example prompt is a 15-second vertical product intro with an audience, a style and a closing line. That shape is the template for everything on this page: a short brief with a clear audience and one line to end on. The guide also marks the path as beta, so availability, credits and plan requirements can change.

HyperFrames can make a good-looking video from any brief, but it cannot know what a competitor shipped last week or what an answer engine says about your category. Without data, Claude fills the video with generic claims. Linkeddit gives it measured facts with source links, so each scene can carry one true, dated statement.

Linkeddit's side is read-only for these workflows. Compete tracks competitor blogs, changelogs, pricing pages and reviews, and Answer Radar records which brands the five engines name and recommend. Both come with one plan at $60 a month. Linkeddit writes no script and renders no video: your own assistant decides what the video says.

The creator side shows the same split. In a Creator Economy episode, Jake Moran says launch videos have four parts, hook, context, payoff and brand, and demos one built from three screenshots. Data decides what the hook is. A viewer's comment on that episode asked a practical question: "Is the desktop app free to use? Or is the CLI version free?" Check plans before you commit to a repeated render.

Ask Linkeddit for the latest weekly brief with compete_brief_get, then have Claude pick the two or three moves that matter and write one scene for each. On Linkeddit's test project (plausible.io), the brief for the window 2026-10-26 to 2026-11-01 covered 5 monitored competitors and counted 2 high priority moves, 9 worth watching and 8 low signal.

The two high priority items were real scenes: Matomo published critical PHP security guidance, and Fathom launched an AI assistant called Luna, dated 2026-10-01. Each carries a source link and a why it matters line, so a 15 to 20 second video can show the competitor name, the dated change and the source. Compose the video, then watch it for anything the data does not support.

Read the numbers first with answer_gaps_get and answer_results_get, then ask Claude to storyboard one claim per scene, such as the buying question and which brands each engine named. On the test project, answer_gaps_get returned one open gap, "Umami vs Matomo for self-hosted analytics", where the project was not represented, with a confidence of 1 and an evidence score of 22.

A gap that specific makes a better video than a general chart. The same project's search_visibility_get returned 25 tracked keywords, with "google analytics alternative" ranking 2 and showing an AI Overview that cites the project. Say plainly in the video when a result is a first check, because the previous rank was empty. Show the measurement date on screen.

Yes, as a short video rather than a document. Use compete_signals_get with view=reviews to read stored G2, Capterra, TrustRadius and Trustpilot reviews, filter by competitor and by max_rating for the complaints, and read compete_signals_get with view=signals for the recent moves. Claude then writes a 30 second walkthrough for the sales team: what changed, what buyers complain about, and the one line to say on a call.

A video does not replace the battlecard. It is a faster way to tell reps what changed, and the written card remains the reference. Tell Claude to quote review text exactly as returned and to leave out any claim without a source.

Watch the whole render, because the scene text is the part that can be wrong. Check each competitor name, each date and each number against the Linkeddit result, and drop any scene where Claude added a claim the data did not contain. On the test project, the weekly brief listed plausible.io itself with status pending and 0 items analyzed, which a good video says rather than hides.

HeyGen's guide adds two habits. Keep the identifier the tool returns so a follow-up refers to the same work, and do not send secrets or private material to the connector. If a render stalls, retry from a new chat and report the prompt, the result and the identifier to HeyGen.