What is the most important thing to look for in an AI video quotation?

Focus on the delivery scope and boundary of responsibilities, including creative scripting, product/character assets, shot counts, consistency control, rework fallbacks, post-production, revision limits, commercial copyrights, source files, and final release specs.

Can AI video production be quoted per second?

Standardized or template-driven content with static inputs can be quoted per second or per video. However, brand TVCs, product films, IP campaigns, hybrid live-action/AIGC projects, and multi-format deliveries are best quoted by project milestones or itemized deliverables.

Why can brand AI video quotes still be high when model costs are low?

Model compute is only a fraction of total production costs. Commercial brand projects require strategic ideation, asset rebuilding, prompt optimization, generation curation, frame-by-frame consistency control, post-production compositing, audio scoring, legal licensing, and launch guarantees.

What does 'includes revisions' actually mean in a proposal?

It varies widely between vendors. You must confirm the exact number of revision rounds, whether rounds apply to creative ideas or technical edits, whether multi-stakeholder feedback is consolidated into a single round, and how structural changes to scripts or product designs are billed.

How does FansAI's quotation structure differ from standard AI generation services?

FansAI provides full-service brand-grade AI video production from strategic brief interpretation, custom asset building, and multi-model workflows to post-production, copyright clearing, and multi-platform versioning. Pricing is based on guaranteed, launch-ready outcomes and accountability rather than standalone generation costs.

How to Read an AI Video Quotation? 8 Critical Deliverables Brand Procurement Teams Often Miss

When brand procurement teams receive an AI video quotation, the first thing they usually see is a total price tag: thousands, tens of thousands, or hundreds of thousands of dollars.

However, a lump-sum price alone cannot tell you whether the quote is reasonable.

For two proposals each labeled "One AI Video Production," one might only cover generating a few shots based on a pre-existing script, while the other encompasses creative strategy, scripting, product asset rebuilding, character control, post-production, copyright clearing, and final online deployment. Comparing the total figures directly is meaningless because the underlying scope of work and contractual liabilities are completely different.

In FansAI's brand-grade AI video projects, our primary focus is never simply "how many seconds of footage were generated." Instead, we focus on whether the content can be delivered on schedule, whether products and characters maintain precision, whether revisions remain actionable, whether copyright and source assets are transferred, and ultimately, who takes responsibility for the final publication result.

Therefore, when procuring AI video services, your first step should not be comparing total prices, but breaking the quotation down into a complete chain of delivery responsibilities.

1. Creative Strategy and Scripting: Is the Vendor Executing or Leading from the Brief?

The most commonly overlooked item in a proposal is who actually creates the strategy and script.

If the brand provides a complete script, storyboard, reference imagery, and product assets, the vendor's role is primarily technical execution. If the brand only provides a single product requirement and expects the vendor to handle strategic positioning, creative concepts, narrative structure, visual art style, scripting, and storyboarding, that constitutes a completely different project scope.

Both projects utilize AI, but the required creative investment differs drastically.

A mature AI video quotation should explicitly state:

Whether brief interpretation and creative proposals are included;
Whether scripts, storyboards, and visual style guides are included;
How many creative concepts are included in the proposal;
How many rounds of creative revisions are allowed;
How additional workload is calculated if the brand changes core creative directions.

For Yili Satine's "Freshness" campaign, FansAI did not merely generate random visuals. We translated the abstract concept of "freshness" into a visual narrative crafted through AIGC, organizing shots around grasslands, product details, natural environments, and brand aesthetics. Completing a 30-second brand TVC in just 10 days meant that creative judgment and visual control were fundamental deliverables of the quote.

2. Product, Character, and IP Assets: Do References Need to Be Built from Scratch?

AI generation models do not inherently understand your brand's specific product.

If your project involves physical packaging, brand logos, precise product geometry, recurring characters, or licensed IPs, the quotation must clarify whether asset preparation is included. Asset preparation often requires multi-angle reference photos, orthographic views, material textures, proportions, colors, packaging structures, and character expression sheets.

This preparation determines whether subsequent shots can maintain consistency across the timeline.

When the Momcozy Christmas campaign launched, the co-branded gift box was still in the prototyping phase without a physical commercial sample. FansAI had to build multi-angle product asset references using AI based on design files before integrating the box into living room, bathroom, and holiday scenes. What the client bought was not a one-off placement, but an adaptable product model that remained recognizable, extensible, and editable across multiple shots.

The quotation should clearly specify:

Who provides product or IP assets;
Whether the vendor is responsible for asset rebuilding/digital twin creation;
Whether assets include multi-angle and multi-environment references;
Whether these digital assets can be reused in future projects;
How work is billed if the underlying product design changes mid-project.

Without these details, brands often assume they are purchasing a finished video, only to discover they haven't secured usable product assets for future work.

3. Shot Generation Execution: The Shot Count Must Be Explicit

"Includes one video" is not a sufficiently precise unit of production.

A 30-second video might consist of 4 simple shots or a dozen complex camera moves requiring individual control. A clear quotation specifies shot count, duration per shot, aspect ratio, resolution, model stacks, and generation methods.

Furthermore, there is a distinct difference between "generation attempts" and "deliverable shots." AI models can output dozens of iterations, but few are directly usable in a final edit. Brands are paying for curated, cleaned, composited, and verified final shots.

Recommended items to clarify in the quotation:

Final video duration and total shot count;
Aspect ratios (horizontal, vertical, square, etc.);
Whether each shot accounts for multi-iteration generations;
Keyframe, first/last frame control, and shot transition management;
Complex character motions, animal behavior, product close-ups, or special effects;
Who assumes responsibility for alternative workflows if generation fails.

In the Instinct Cat Food campaign, the film required four distinct cats to maintain their specific breed features, body types, fur patterns, and personalities across multiple scenes, while performing actions like running, hunting, and eating. By combining character asset building, scene consistency controls, dynamic generation, and 4K restoration, the challenge lay not in rendering a single static cat image, but in keeping multiple animals consistent within a coherent commercial narrative.

4. Consistency Control and Rework: Where Brands Cannot Afford Errors

The most underestimated cost in AI video production is rarely the initial generation—it is post-generation consistency control and fixing artifacts.

Brand campaigns cannot tolerate deformed packaging, warped logos, changing character faces, extra fingers, illogical motions, or inconsistent backgrounds across cuts. Vendors must employ reference assets, keyframing, local inpainting, frame-by-frame cleanup, multi-model workflows, and traditional compositing to transform random AI outputs into controlled commercial assets.

Thus, a quotation should never just say "AI Generation." It must outline:

Who is responsible for product and character consistency;
Whether artifact fixes and error corrections are included in revision terms;
How rework is calculated (by round, by shot, or by labor hour);
Fallback solutions (live-action, 3D CG, or manual compositing) if generative models fail;
Billing rules for new requests if the brand alters products, characters, or core concepts.

The TCL Winter Olympics campaign illustrates this clearly. Adopting a synchronized delivery cadence—4 days of live-action shooting, 5 days of AI-fusion editing, and 5 days of client review and approval—the 14-day production brought the final film to completion. AI did not eliminate traditional production steps; it recombined product footage, Olympic winter scenes, athlete movements, visual effects, and dynamic product transitions into a hybrid pipeline.

This represents FansAI's core commitment in quotation structure: not just promising that a generative prompt will work, but providing guaranteed workflows to drive the project to launch readiness when generation runs into limits.

5. Post-Production, Audio, and 4K Upscaling: A Final Film Is More Than Stitched Clips

A proposal that lists only "AI Video Generation" usually neglects comprehensive post-production.

Commercial-grade AI videos require precise editing pacing, shot transitions, color grading, sound design, music licensing, voiceovers, subtitles, graphic packaging, special effects, and high-resolution upscaling. Many projects also require blending AI visuals with live-action assets, product renders, or 3D compositing.

These elements directly determine the commercial polish of the final asset.

Verify if your quote includes:

Editing and rhythmic pacing adjustments;
Color grading and brand color space alignment;
Licensed background music, sound effects, and voiceovers;
On-screen typography, graphic packaging, and end cards;
Frame repair, super-resolution, and 4K output;
Supplementary live-action, CG, or traditional post-production.

The Yili Satine "Freshness" project required harmonizing grassland scenery, milk packaging details, natural lighting, and audio scoring simultaneously. AI expanded the creative scope, while post-production ensured diverse visual sources read as a unified brand TVC. Without post-production explicitly quoted, brands risk receiving raw generated clips rather than a broadcast-ready spot.

6. Revisions and Reviews: Specify the Scope of "Revision Rounds"

"Includes revisions" is often the vaguest sentence on a quote.

Internal review chains typically involve marketing, brand managers, legal, procurement, executives, and external IP licensors. Feedback from any of these stakeholders can affect scripts, products, characters, audio, or formatting.

Your quote should define:

Number of creative revision rounds;
Number of technical/production revision rounds;
What constitutes a single "round" of revisions;
Whether consolidated feedback from multiple stakeholders counts as one round;
Billed rates for direction changes, product revisions, or added shots;
How timeline delays during approval affect delivery milestones.

In the TCL Winter Olympics project, the 5-day review window was a distinct block of budgeted work. Revisions meant re-generating, filtering, frame-fixing, compositing, exporting, and re-confirming. If procurement compares quotes based solely on "number of rounds" without evaluating shot scope and turn-around times per round, cost overruns and disputes inevitably follow.

7. Copyright, Source Files, and Commercial Rights: Who Owns the Results?

Procuring AI videos requires validating not just playability, but commercial compliance.

The quotation must detail usage scope for music, typography, stock photos, video assets, IP representations, and AI-generated outputs, while clarifying which source files and reusable assets belong to the brand upon project completion.

Brands must confirm:

Commercial licensing rights for audio, fonts, and stock assets;
Geographic, channel, and duration limits for co-branded IP;
Mandatory disclosure requirements or legal compliance reviews for AI content;
Ownership and delivery of project files, storyboards, character models, and product assets;
Vendor liability regarding copyright clearances and asset sourcing;
Re-licensing terms for future re-edits, derivative cuts, or overseas distribution.

For enterprise brands, copyright clearance is not a post-project addon—it is a core component of pricing and delivery. FansAI incorporates source files, generative workflows, post-production project files, and commercial rights into structured project management to ensure client assets remain fully expandable.

8. Aspect Ratios and Deliverables: How Many Output Variations Are Required?

A complete quote specifies the final package of deliverables.

Horizontal master cuts, vertical social cuts, 15-second cutdowns, clean textless passes, localized language versions, outdoor digital out-of-home (DOOH) files, and e-commerce ratios may stem from one creative core, but they require much more than simple cropping.

Different aspect ratios require re-framing compositions, adjusting product placements, updating subtitle safe zones, and tweaking pacing. In the MINISO "Spike Star" project, AI content had to adapt across domestic and international social media platforms alongside massive outdoor billboards. Every unique resolution demanded dedicated canvas composition and resolution scaling.

The Momcozy project highlights the importance of hard campaign deadlines. The brand required a launch window 10 days before Christmas, while asset generation, scene setup, IP integration, and post-production spanned a 20-day timeline. If delivery counts, formats, and approval gates are omitted from the quote, teams risk discovering missing deliverables hours before going live.

A thorough quotation clearly itemizes:

Quantity of master films and cutdown versions;
Horizontal, vertical, and platform-specific resolutions;
Subtitle, voiceover, and localized language passes;
Specs for DOOH displays, e-commerce stores, or live-stream overlays;
Delivery milestones for each format;
Designated party responsible for orchestrating final deployment.

AI Video Quotation Checklist for Brand Procurement

Item	Key Questions to Ask
Creative & Scripting	Who handles strategy, concepts, scripts, and storyboards? How many creative directions are included?
Product & Character Assets	Does it include 3D views, reference assets, character sheets, and IP setup?
Generation Execution	How many shots, versions, aspect ratios, and resolutions are delivered?
Consistency & Rework	Who fixes product, logo, character, or action glitches? How many fix iterations are covered?
Post-Production	Are editing, color grading, music, voiceover, subtitles, packaging, and 4K upscaling included?
Revisions & Approval	How many rounds are allocated for creative vs. production changes? How is multi-party feedback processed?
Copyright & Source Files	How are commercial licenses for audio, fonts, stock materials, AI outputs, and project source files delivered?
Deliverables & Deployment	Are vertical/horizontal formats, cutdowns, localized languages, DOOH specs, and launch guarantees included?

If a quotation cannot answer these questions, evaluating where costs are saved—or where operational risks reside—is nearly impossible.

What Should You Really Compare in AI Video Quotations?

While AI model generation costs continue to drop, the value of commercial video production is never determined solely by token or compute usage.

Brands are purchasing execution, controllable revisions, multi-stakeholder approvals, and guaranteed market deployment. Case studies like TCL's 14-day campaign turnaround, Yili Satine's 10-day brand TVC, Momcozy's pre-sample holiday workflow, and Instinct's precise multi-character controls demonstrate that AI video quotes must map directly to accountability.

FansAI's pricing philosophy aligns with this exact commitment: understand the brand brief first, establish creative and asset requirements second, outline generation and consistency control third, and solidify post-production, copyright, and platform deliverables in writing.

When receiving an AI video proposal, your main question shouldn't just be "Can you lower the price?", but rather:

In this quotation, which tasks are clearly defined, who is responsible for each result, and which risks remain on the brand's shoulders?

Only when price, workload, and delivery responsibilities align does an AI video quotation become truly comparable.