Social media content packs for retainer clients with AI

This page is about the whole monthly pack across formats, not only video. For the weekly video series (scope, approvals and margin for video alone), see weekly video series for a retainer client. For the capacity side, see agency video retainers without hiring. Retainer pricing in general is on agency retainer pricing.

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What goes in a monthly pack, and what stays out

Write the pack as units with a production method for each. "AI content" is not a deliverable. A made-up example you can adapt:

Unit	Count	How it is made
Static posts	12	Brand templates in a design tool, with real photos or a few AI-generated backgrounds
Reels (short vertical videos)	4	2 from real footage or screen recordings, 2 using AI b-roll or backgrounds around a real anchor
Stories (short vertical slides that disappear after a day)	8	Cut from the posts and reels, resized, not generated separately

Stories are your cheapest slot. If you generate them from scratch you are paying twice. Derive them from posts and reels, and see resizing for all placements for the size side.

Also write what stays out, because this is where margin leaks. Common exclusions: new filming days, paid ad management, extra platforms, more than two revision rounds per batch, and rush work beyond a fixed number of open slots. One vendor model (Apaya, which sells an AI production layer) assumes two revision rounds per batch are included and extras are billed by the hour. Treat that as a common modelling assumption, not a standard.

For context on what the market asks, one Israeli provider, Shivuknet, lists a 12-reel monthly pack from NIS 2,400 and a 20-reel pack from NIS 5,500, with two or three open slots for urgent trend reels. That is one seller's price in one market, not a benchmark for yours.

Set the month up in one session

1. Brief and calendar. Once a month, one call with the client to agree themes, offers, dates and anything that must be real (a launch, a team photo, a result).
2. Concept sheet. Turn the calendar into a sheet of concepts: a still frame or a rough layout, a caption, a format and a posting date for each unit.
3. Concept approval first. The client signs off the sheet before you generate anything. This is the most important step in the page. Client rounds usually cost more than generation, and a rejected concept is cheap to change. When the client approves concepts first, retries become your internal cost and not a visible delay.
4. Whole-month review. Look at the full month together before sending. Cloud Campaign, a social media management vendor, makes the same point about reviewing a month in one pass: you catch repeated ideas and a flat rhythm that a post-by-post review misses.

Which slots AI should and should not fill

A simple rule: real for anything tied to the client's actual product, people, premises, results or testimonials. Generated for backgrounds, scene setting, abstract motion, extra versions of a shot you already have, and pickup shots you cannot film.

Slot	Good use of AI	Keep real
Static post	Background, texture, a scene behind a real product cut-out	Product photo, team photo, price, claim text
Reel	B-roll, an opening hook shot, a transition	Anyone speaking for the client, product in use, a customer result
Story	Resized assets, simple motion on a still	Polls with real offers, anything with a deadline

If the pack includes AI people (a virtual presenter or a recurring character), get written client consent and plan the disclosure; see a recurring AI character for client posts. Never generate a "customer" saying they love the product.

Also check whether AI is the cheapest path at all. For generic b-roll, stock footage is often cheaper than generating it. My page on AI video, stock footage or filming it yourself compares the three.

Production day: batch order

1. Build all 12 post templates first, since they feed the stories.
2. Film or collect the real reel footage next, in one session.
3. Generate the AI pieces last, only for approved concepts, with the style sheet attached (see keeping a brand look across AI images).
4. Edit reels in one sitting. Add captions as editable text in the editor, never as generated pixels, because generated letters are often wrong.
5. Export stories last from finished posts and reels.

Schedule the month in your posting tool. If you want a deeper look at scheduling, see scheduling AI content.

Review points before the client sees it

• Does every claim match what the client can prove? A generated demo that differs from the real product is a false-claim risk.
• Faces, hands, text and small objects correct in every frame?
• Any accidental logo, trademark or recognisable person?
• Are the safe areas clear, so platform buttons do not cover captions? Check the platform's own preview, not a percentage from a blog.
• Music licensed for business use on that platform?
• AI label decision made and written down (see below)?
• Does the whole month still look like one brand and not twelve ideas?

For video-specific checks see an AI video quality check.

What Higgsfield does for a content pack

Higgsfield lets you make images and short videos from text or from a still image, and it has tools aimed at short-form work. As of November 2026 its site names Shorts Studio and Content Factory as short-video tools (I could not confirm their limits), and it has an image-to-video route that fits the b-roll slots in the table above. The credit cost of many of these tools is not published; the cost shows on the Generate button. See the Shorts Studio and Content Factory review.

Three limits matter for a retainer:

• Free accounts add a watermark to every generation, so client work belongs on a paid plan. Plans and prices change, so check the pricing page and the live site.
• Team plans share a workspace. Team is $79 per seat per month, or $65 billed annually (up to 9 seats), and Scale is $215 monthly or $150 per seat billed annually (up to 15 seats), as of November 2026; check the pricing page. Workspace admins can see members' content, so keep client material separated.
• "Unlimited" promotions are not a margin plan. Higgsfield's rules say unlimited periods are web only, for personal human use, and that automation and reselling are prohibited. Promotions end. Do not price a client pack on a promotion.

Higgsfield's terms also allow it to train on content except for customers on an Enterprise agreement, so an agency on Team or Scale cannot promise a client that no content trains a model. See AI tools that do not train on your data.

Cost per asset: a worked example

All inputs below are made up. Replace them with your numbers.

Take one reel with three AI clips. Suppose you need 2.5 generations to get one usable clip (a retry rate of 150 percent on top of the first try). Then one reel needs 3 x 2.5 = 7.5 generations. Multiply by the credit cost shown on the button and the credit price of your plan to get the generation cost. Then add the labour:

Line	Low-retry case	High-retry case
Generations per usable clip	1.4 (40% retries)	2.5 (150% retries)
Generations per reel (3 clips)	4.2	7.5
Edit time	40 minutes	40 minutes
Internal review	15 minutes	15 minutes
Extra selecting and rejecting time	10 minutes	35 minutes

The labour is usually the bigger number. At a loaded cost of 60 dollars an hour, 65 minutes is about 65 dollars in the low case and 90 minutes about 90 dollars in the high case, before generation credits. So the retry rate moves the labour cost from about 65 to about 90 dollars, roughly 38 percent more, even with the same credits. That is why you measure retries on your own work for a month before you set a price.

Margin check in one sentence: if retry rate x credit cost x assets, plus review time, still leaves you under your target margin, drop the AI video slot from the pack and keep the quality check. Do not drop the check.

Pricing the pack and protecting margin

• Price the pack, not the hours. A flat monthly price for the counted units.
• Cap revisions. State what one round is (one consolidated list of changes from one named person) and how many rounds are included. Extras are billed by the hour.
• Sell rush slots. Keep two or three open slots a month for urgent trend reels, as the Shivuknet pack does, and quote rush work separately (Shivuknet's page gives no price for its urgent slots). That stops rush work from being free.
• Tier by platforms or units, not by tools. Apaya's example tiers by number of platforms. Whatever you pick, change price when scope changes.
• Do not discount for AI. You still carry review, rights and client management. Price the result. For the pricing question see how to price AI-generated creative. To sell the pack as one fixed offer, see productising AI creative into a fixed-price package.

Put the pack list, the exclusions and your AI-use wording in the agreement. A short AI clause for agency contracts helps.

Disclosure, people and rights in a retainer

Platform rules differ and change, so decide the AI label at the concept stage, not on upload day. YouTube's help page says creators must disclose realistic AI-generated or meaningfully altered content, and exempts clearly unrealistic or animated content, minor edits and production help. Meta and TikTok publish their own AI label rules and settings, and these change, so read their current help pages and check who sets the label in your posting tool (usually the agency). This is information, not legal advice; check local law and each platform's current rules. For more on the policy question, see should agencies disclose AI use.

A one-month pilot with pass and fail

1. Pick one friendly client and tell them the plan.
2. Run one full month with concept approval first.
3. Record hours per asset, retries per clip, revision rounds and any asset pulled.

Measure	Pass	Fail
Hours per asset	Fall by a percentage you set before you start	No fall
Revision rounds	Under two on 80% of assets	Two or more on over 20%
Assets pulled for rights, disclosure or accuracy	None	Any
Cost per approved asset	Leaves your target margin	Does not

Who should skip this

• Agencies whose clients want mostly real people on camera. Film them.
• Clients who need exact product accuracy in every frame. Use real photography.
• Packs that are mostly text and static posts. A design tool with templates costs less than a video generator, and a social suite with an AI add-on is cheaper for captions and scheduling.
• Anyone selling "unlimited content". Cap the units.

How I'd approach this

I would write the pack as counted units, put concept approval before any generation, and run one pilot month before I changed any price. I would use AI for b-roll and background slots only, keep real footage for anything that makes a claim, and measure cost per approved asset from the first week. If Higgsfield or another generator beats stock footage and your editor on that number, keep it. If not, drop it from the pack.

Once you have several packs running, Blur Studio builds the repeatable workflow: a concept approval portal and shared asset library that tracks each unit from brief to posted, with the AI-use note attached. That is an option, not a requirement.