10 Questions to Ask Before Hiring an AI Video Agency (And the Answers You Should Hear)
Before hiring an AI video agency, ask ten things: which models they use per project, who owns the output, how they keep your brand consistent, what revisions include, whether they show raw vs final work, how they match brand guidelines, how VO and music are licensed, what happens when a model fails, how they handle AI disclosure rules, and what support comes after delivery. The answers separate real pipelines from subscription resellers in one call.
Below is each question, why it matters, and - more importantly - what a good answer sounds like versus a bad one. Print this before your next vendor call.
1. "Which AI models will you use for our project, and why those?"
Why it matters: Models are not interchangeable. One leads on physics and product motion, another on multi-shot consistency, another on cost at volume. Model choice per shot is the core skill you're hiring.
Good answer: Names 2-4 specific models and ties each to a job: "Product shots in Seedance 2.0 for the physics, dialogue scenes in Kling 3.0 for native lip sync, volume variations in Veo 3.1 Lite to keep cost down."
Bad answer: "We use the best AI tools available" or naming one tool for everything. That's a subscription, not an agency.
2. "Who owns the final video and the source assets?"
Why it matters: You need the finished video, the project files, and the generated assets - or you're renting your own campaign.
Good answer: "You own the final deliverables outright for any commercial use, forever. Source assets and prompts transfer on final payment." In writing.
Bad answer: Anything vague, or ownership conditional on staying a client.
3. "How do you keep our product and characters consistent across every scene?"
Why it matters: Consistency is the hardest problem in AI video. Without a method, scene 7's product looks like a knockoff of scene 2's.
Good answer: Describes an actual system: reference locking, character sheets, seed management, style bibles, per-model reference features.
Bad answer: "Advanced prompting." That's not a method, that's hope.
4. "What exactly does a revision round include, and how many are in the price?"
Why it matters: AI revisions have weird economics. A voiceover swap is minutes; changing a character's outfit can mean regenerating every scene. Undefined revisions become undefined invoices.
Good answer: A written definition: "Two rounds included. A round covers timing edits, VO changes, grade adjustments, and up to X shot regenerations. Structural script changes are re-scoped."
Bad answer: "Unlimited revisions." Nothing is unlimited - it just means nothing is defined, and speed will suffer.
5. "Can you show us a raw generation next to the final delivered version of the same shot?"
Why it matters: This single request reveals whether post-production exists. Raw model output is 720p-1080p, flat, and artifact-prone. The raw-to-final gap is literally the service.
Good answer: "Absolutely" - followed by a before/after that shows upscaling, cleanup, grading, and sound.
Bad answer: Deflection to the showreel. If they won't show the gap, there is no gap.
6. "How will you match our brand guidelines and existing visual identity?"
Why it matters: A gorgeous video in the wrong brand voice is a rejected video.
Good answer: They ask for your brand book before quoting, and describe a look-dev stage where you approve style frames before any video is generated.
Bad answer: "Send us your logo and colors." A logo is not an identity.
7. "How are the voiceover and music licensed - and does that cover paid ads?"
Why it matters: Organic-use licenses and paid-media licenses are different products. The gap surfaces as a takedown mid-campaign.
Good answer: Named sources with commercial ad-use rights: licensed VO (e.g., ElevenLabs commercial tiers with proper voice rights) and music cleared for paid media, itemized in the contract.
Bad answer: "Everything's royalty-free." Royalty-free is not the same as cleared for advertising.
8. "What happens when a model can't produce the shot we need?"
Why it matters: It happens on every project. Some shots defeat every model - specific hand interactions, dense text, exact product geometry.
Good answer: A fallback ladder: try an alternate model, restructure the shot, composite in post, or swap in live/stock footage - at no surprise cost.
Bad answer: "That won't happen." It will.
9. "How do you handle AI-content disclosure rules on Meta, TikTok, and YouTube?"
Why it matters: Platforms now require AI disclosure in specific ad categories, and the rules keep shifting. Non-compliance risks rejected ads or account penalties - your account, not theirs.
Good answer: They know the current per-platform requirements, flag which apply to your campaign, and build disclosure into delivery.
Bad answer: A blank stare. If they don't track platform policy, you're the compliance department now.
10. "What happens after delivery - edits, versions, and support?"
Why it matters: Videos live on. You'll want a cutdown for TikTok, a French version for a new market, an updated price in the end card.
Good answer: Defined post-delivery terms: asset handover, pricing for future versions and language localizations, and turnaround for small edits.
Bad answer: "Just reach out anytime" with no terms - which means full price and no priority.
The Pattern Behind All 10
Every good answer is specific, written, and process-shaped. Every bad answer is vague, verbal, and vibe-shaped. AI video is new enough that confident-sounding vendors outnumber competent ones - specificity is how you tell them apart in a 30-minute call.
Expert take - Semek Creative House: "Question 5 does the most damage in the shortest time. We've watched buyers end calls at that question. Raw output is the same for everyone with a subscription - if a vendor can't show you what happens after generation, you've found a reseller."
FAQ
Who owns AI-generated video content? Ownership is contractual: a proper agency agreement assigns you the final deliverables for unlimited commercial use, with source assets transferring at final payment. Confirm the music and voiceover carry paid-media licenses too - platform-level AI content policies apply regardless of ownership.
How many revisions should an AI video agency include? Two defined rounds is the healthy standard, with a written definition of what a round covers - timing, voiceover, grading, and a set number of shot regenerations. Undefined "unlimited revisions" typically signals slow turnarounds and scope disputes rather than generosity.
Should agencies disclose which AI tools they use? Yes. Model selection per shot is the core competence you're paying for, and platform disclosure rules may require knowing how content was made. An agency that treats its tool stack as a secret is usually hiding a single-tool workflow.
What is the fastest way to vet an AI video agency? Ask for a raw generation shown next to the final delivered version of the same shot, then ask them to narrate one recent project from brief to delivery. Those two requests test post-production, process, and honesty in under fifteen minutes.
Want to hear our answers to all 10? Book a 20-minute strategy call with Semek - bring this list, and leave with a fixed quote.