Best Agentic Marketing Platforms: 13 Compared 2026

An agentic marketing platform runs marketing work from a goal instead of a click. You set an objective, and the software plans the campaign, builds the audience, writes the copy, and adjusts spend on its own. This guide compares thirteen platforms in 2026, and they split into four jobs: orchestrating journeys, buying media, wiring your own agents, and writing the words. Almost none of them generates the video.

That last part sorts the category better than any other question. The usual names are Salesforce, HubSpot, Adobe, ActiveCampaign, Netcore, n8n and Zapier, and every one of them is a real product. Of those seven, only Adobe generates video itself.

This guide covers thirteen platforms, groups them by the layer they occupy, and adds a column for whether each one makes the image or video itself. It is written for marketing leads and agency creative directors who have been asked to pick one.

Key Takeaways

• Four layers, not one category. Orchestration agents decide who gets what and when. Media-buying agents decide where the budget goes. Workflow builders let you assemble your own. Content agents write the copy. Comparing across layers on price is how buying decisions go wrong.

• Video is the dividing line. Of the five orchestration suites, exactly one generates video natively. Adobe does, through the Firefly Video Model. Salesforce, HubSpot, ActiveCampaign and Netcore do not.

• “AI video” often means editing your footage. HubSpot’s video AI scripts, clips, captions and translates video you already have. TikTok Smart+ asks you to supply “creative assets” up front (ads.tiktok.com, September 2026). Neither makes a clip from nothing.

• Salesforce routes images through a third party. Salesforce’s own documentation describes Typeface as “a non-SFDC application” used to generate images in Content Builder (salesforce.com, September 2026).

• Compliance arrived in August. Article 50 of the EU AI Act has applied since 2 August 2026 and requires synthetic image, video, audio and text to be marked in a machine-readable format.

What is an agentic marketing platform?

An agentic marketing platform is software that takes a marketing goal and executes toward it without step-by-step instructions. You describe the outcome, such as raising repeat purchase among lapsing customers, and the platform plans the campaign, picks the audience, drafts the messages, schedules the sends, and adjusts based on results. A human sets the objective and the guardrails, then approves or overrides. Agentic marketing is the practice of running campaigns this way, with software agents choosing and taking the steps toward a goal.

That is the difference from marketing automation. Automation runs rules you wrote in advance: if a contact opens twice, send email three. An agent chooses the steps itself and changes them as data arrives. Salesforce frames it as marketers defining the strategy while “AI agents handle the execution” (salesforce.com, September 2026). Netcore puts it as “You set the direction. Agents execute, learn, and deliver results” (netcore.ai, September 2026), with marketers keeping final approvals.

The category is young and the label is loose. Many vendors with a large language model in the product now claim it. The useful test is whether the software can act without you naming the next step.

One distinction worth holding. A platform is the system you buy and the data it sits on. An agent is a single worker inside it, scoped to one job. This guide compares the platforms. If you are shortlisting the individual workers instead, our ranking of AI marketing agents covers those.

The four layers of an agentic marketing stack

Most confusion in this category comes from comparing tools that do unrelated jobs. Sorted by layer, the thirteen platforms line up cleanly.

Orchestration agents own the customer. They hold the data, decide segments, choose channel and timing, and run journeys. Salesforce, HubSpot, Adobe, ActiveCampaign and Netcore sit here. They are priced per organization or per seat, and they run campaign operations.

Media-buying agents own the budget. They allocate spend across placements, pick which variant runs, and optimize on conversion signals. Meta Advantage+, TikTok Smart+ and Superscale sit here.

Workflow builders own the wiring. They give you nodes and triggers so you can assemble an agent against your own systems. n8n, Zapier and Gumloop sit here. They are priced per execution, per task or per credit.

Content agents own the words. They take a brief and produce copy at volume, with brand rules attached. Jasper and Copy.ai sit here.

There is a fifth layer. Something has to make the picture and the clip that the other four layers move around. That is covered further down.

How these platforms were ranked

Six factors, applied to every entry:

1. Autonomy. Does it act on a goal, or does it recommend and wait?
2. Scope of the loop. How much of plan, make, place and measure does it close?
3. Creative generation. Can it produce the image or video itself, checked against the vendor’s own documentation?
4. Pricing transparency. Published rates, or quote-only?
5. Data requirement. How much customer data does it need before it works?
6. Fit honesty. Which team size and channel mix it genuinely suits.

Every capability below was checked against the vendor’s own pages in September 2026, and each vendor’s pricing page is named rather than quoted. Where a vendor’s pages describe a capability in different ways, that is stated rather than resolved.

Orchestration agents: who owns the customer

Salesforce Agentforce Marketing

Salesforce rebuilt its marketing suite around agents and renamed it. The suite is Agentforce Marketing, described on Salesforce’s own page as “formerly Marketing Cloud”, and the flagship product inside it is Marketing Cloud Next (salesforce.com, September 2026). It fits organizations already standardized on Salesforce data, and Salesforce documents a campaign-creation agent that drafts a brief, refines it, builds the campaign from the brief and generates insights.

The shipped agent actions cover campaign creation, content drafting, journey decisioning and account discovery. Salesforce’s summary of the generative scope is that AI “can draft a campaign brief, a campaign, and campaign components” and suggest a segment.

Pricing runs on two meters, and both are published. Marketing Cloud Next sells its editions per organization per month, billed annually (salesforce.com/marketing/pricing, September 2026). Agentforce consumption is billed separately, through Flex Credits, per conversation, or a per user license (salesforce.com/agentforce/pricing, September 2026). Read both pages before you budget. The second meter is the one teams forget.

On creative, the documentation states the scope. Einstein generative AI in Content Builder generates “subject line and body copy options”. For images, Salesforce writes that it “has partnered with Typeface, a non-SFDC application, to generate images” (salesforce.com, September 2026). No Salesforce page reviewed for this guide claims video generation. Best for enterprises whose customer data already lives in Salesforce.

HubSpot

HubSpot ships named agents for mid-market teams, and Agent Hub is included in every paid edition rather than sold separately (hubspot.com, September 2026). The named agents are Content, Prospecting, Customer, Data and Campaign.

Marketing Hub is sold per seat, billed annually or month to month, and its higher editions carry a one-time onboarding fee. HubSpot lists its plans on its own pricing page (hubspot.com/pricing/marketing, September 2026).

Agent work runs on HubSpot Credits, and the arithmetic is worth doing before you buy. Each edition includes a monthly credit allowance, HubSpot’s product catalog prices every agent action in credits, and extra credits are billed on top (legal.hubspot.com and hubspot.com/pricing/marketing, September 2026). Price the month in agent actions rather than in seats.

HubSpot generates static images for blogs, pages, emails and social posts. Its video AI is a different thing: scripting, clipping, captioning and translating footage you upload. Best for mid-market teams who want many agents on one bill and are not producing video.

Adobe CX Enterprise

Adobe announced CX Enterprise at Adobe Summit on 20 April 2026, with CX Enterprise Coworker reaching general availability on 10 June 2026 (news.adobe.com, 2026). Adobe Experience Platform Agent Orchestrator is the layer underneath. The agent roster is long: Audience, Journey, Content Advisor, Brand Governance, Experimentation, Site Optimization and a Content Production Agent among others.

Adobe is the only orchestration platform in this group that generates both image and video creative natively. Firefly Image Model 5 handles stills and the Firefly Video Model outputs 1080p from text or an image. Firefly also carries partner models including Veo 3.1, Nano Banana 2, Runway Gen-4.5 and Kling 2.5 Turbo, so the creative layer is a catalog rather than one house model.

Pricing splits. The agent layer is quote-only, and Adobe’s own page says to “contact your Adobe Sales representative” for an AI Credit quote (business.adobe.com, September 2026). Firefly plans are published instead, each metered in generative credits (adobe.com/products/firefly/plans, September 2026). Best for large enterprises already running Experience Cloud who need creative and orchestration under one vendor.

One point to get right: Adobe announced CX Enterprise as a product. No Adobe page reviewed for this guide states that Experience Cloud was renamed.

ActiveCampaign

ActiveCampaign is the accessible end of the orchestration layer. Its Active Intelligence features cover an AI automation builder, an AI campaign builder and AI content generation, aimed at lifecycle marketing rather than enterprise CX.

ActiveCampaign prices its plans against the number of contacts, billed annually. ActiveCampaign lists its plans on its own pricing page (activecampaign.com/pricing, September 2026). Its pricing page does not list month-to-month rates, so treat its published figures as annual-commitment pricing.

AI image generation appears in the pricing feature table on Plus and above. Video generation appears nowhere on the pricing page. Best for lifecycle and ecommerce teams without a marketing ops function.

Netcore

Netcore sells its product under the exact category name, Agentic Marketing Platform, with seven agents covering insights, decisioning, content, audience, scheduling, shopping and orchestration. The Audience Agent builds segment rules from a one-sentence prompt and the Decisioning Agent picks offer, channel and product in real time. Note that the company rebranded from netcorecloud.com to netcore.ai on 30 July 2026, so older links redirect.

Pricing is mostly quote-only, with plan cards leading to sales. One figure is published, in the pricing FAQ, and it is a rupee rate for a monthly tracked-user tier (netcore.ai, September 2026). The pages reviewed list no USD or EUR pricing.

On creative, Netcore’s pages describe the capability in different ways. The pricing feature table labels it “Content Agent (AI Text)” and the Content Agent product page describes text output. The platform overview page says copy “and images”. No page reviewed claims video. This guide reads the pricing table as the reference for what a plan includes. Best for ecommerce and D2C brands in markets where Netcore has strong channel coverage.

Media-buying agents: who owns the budget

Meta Advantage+

Advantage+ is the platform-native agent for anyone whose spend concentrates on Meta. It automates audience, placement, budget allocation and creative selection inside Meta’s own auction.

Meta has been pushing creative generation into the same surface. On 7 July 2026 Meta announced Muse Image, its first image generation model from Meta Superintelligence Labs. Meta said advertisers and agencies would get it through Advantage+ creative in the coming weeks, and that Muse Video was in development (about.fb.com, July 2026, read October 2026).

Worth knowing before you rely on it: when advertisers use Meta’s in-house generative AI creative features in ways that significantly edit an image or video, Meta applies an AI label and shows AI info in “About this ad” (facebook.com, October 2026). Best for brands with most of their budget on Meta.

TikTok Smart+

Smart+ is TikTok’s automated campaign product, handling targeting, bidding, creative combination and delivery from an objective and a budget. TikTok describes it as optimizing “ad creative combinations, including CTAs and format variations, through ad group fatigue detection and auto-refresh strategies”.

The creative requirement is stated plainly in TikTok’s own setup instructions: you provide Smart+ with “your Key Performance Indicators (‘KPIs’), creative assets, and target geography and language” (ads.tiktok.com, September 2026). Optional AI features remix music, hooks, formats and scripts from the material you supplied. The agent combines and refreshes. You still shoot or generate the source. Best for TikTok-first brands with a creative supply already running.

Superscale

Superscale aims to close the whole loop on paid social, from research through creative to launch on Meta, TikTok and Google Ads.

Superscale generates the creative itself, which most of this list does not. Its FAQ describes producing “speaking AI UGC video ads with realistic creators, product demo scenes”, “static ads and CTA screens”, and multi-scene video ads, routing tasks across several third-party models rather than one house model (superscale.ai, September 2026). Named agents include a Static Ads Designer, Concept Illustrator, Video Ad Editor and Motion Designer.

Pricing is published. Superscale meters its plans in credits and generations, and it lists them on its own pricing page (superscale.ai/pricing, September 2026). A five day trial runs before you pick a plan.

Two things to check during evaluation. Superscale’s own homepage lists the Launch and Scheduling step as “Coming soon” for direct publishing to Meta and Google Ads, while reading performance back from a connected Meta Ads account is live (superscale.ai, September 2026). And on rights, its terms assign output to the customer: “Superscale hereby assigns to the customer all rights, title, and interest, if any, it may have in and to the Output.” A separate clause limits the right to use the platform itself to the contract duration, and the terms state Superscale may use customer-generated content to train its model unless you object through account settings (superscale.ai/data/terms-and-conditions, last updated April 2025). Best for paid-social teams that want research, creative and reporting from one vendor.

Workflow builders: who owns the wiring

These three are construction kits. They earn a place on this list because a marketing team with one technical person can build a narrower agent against its own systems.

None of the three publishes native image or video generation. They call a provider that does. Node graphs built for image generation itself are a separate group, covered in ComfyUI alternatives for brand teams. AI agent builders for marketing teams compares five builders, these three included, on shape and metering.

n8n

n8n builds agents as node graphs and runs them on your infrastructure or theirs. Its AI Agent node connects a chat model and a set of tools, and the agent decides which tools to call, including MCP servers (docs.n8n.io, September 2026). Metering counts whole runs, not steps: “An execution is a single run of your entire workflow. It doesn’t matter how many steps are in the workflow or how much data it processes.”

n8n sells its cloud plans against a monthly execution count, billed annually. n8n lists its plans on its own pricing page (n8n.io/pricing, September 2026). A Community Edition is available for self-hosting. Best for technical teams who want agent workflows on controlled infrastructure.

Zapier

Zapier Agents is a separate product line from Zaps, described by Zapier as teammates you equip “with company knowledge” to “do work across 9,000+ apps” (zapier.com/agents, September 2026). The breadth of connectors is the reason to pick it.

Zapier Agents has a free plan, and the core Zapier platform prices separately from Agents. Zapier lists its plans on its own pricing page (zapier.com/pricing, September 2026). Best for non-technical teams wiring a wide SaaS stack.

Gumloop

Gumloop builds and runs agents across connected tools, with 35+ models available, bring-your-own API keys, and hosted MCP servers. It meters use in credits, and it lists its plans on its own pricing page (gumloop.com/pricing, September 2026). Entry is a 14 day trial, and no free-forever plan is listed on the pricing page. Best for teams who want agents across many connected tools and are comfortable managing model keys.

Content agents: who writes the words

Both entries in this layer produce marketing copy at volume with brand rules attached, and both stop short of video.

Jasper

Jasper ships the largest named agent roster here: “100+ specialized marketing agents, each designed to execute a specific job within the content pipeline”, mapped to plan, create, adapt, activate and optimize stages, plus Jasper Studio for building custom agents without code (jasper.ai/agents, September 2026).

Jasper prices its plans per seat and lists them on its own pricing page (jasper.ai/pricing, September 2026). Entry is a 7 day trial.

On images, Jasper Image Pipelines handles product imagery through published operations including background removal, cleanup, upscaling to 4x, packshot compositing, uncrop and background replacement, ingesting from a DAM or PIM. The positioning is editing and variant generation from a source photo, described as adjusting “lighting, shadows, backgrounds, and framing without altering the product”. The page is demo-gated and the pages reviewed do not say which tier includes it. No video generation appears on the pricing, agents, studio or pipelines pages. Best for content teams producing high volumes of copy with brand governance.

Copy.ai

Copy.ai positions as a GTM AI platform rather than a marketing suite, and its published use cases lean sales: prospecting, inbound lead processing, account-based marketing, CRM enrichment and localization. Agents are built from examples rather than prompts, which suits teams with a back catalog of assets they want matched.

Its entry plan is sold monthly or annually, and its workflow plans are annual contracts metered in workflow credits. Copy.ai lists its plans on its own pricing page (copy.ai/prices, September 2026).

Copy.ai is text and orchestration. No image or video generation appears across its pricing, agents or platform component pages. Best for go-to-market teams whose bottleneck is sales content rather than campaign creative.

The fifth layer: who makes the video

Of the thirteen platforms here, two generate video creative natively: Adobe through the Firefly Video Model, and Superscale through its own agents. A third, Meta, has announced image generation for Advantage+ creative with video in development. The other ten do not make video at all. Image generation is more common, and text is solved everywhere. Video is the gap.

Here is the pattern that emerges once you check every vendor’s documentation instead of their homepage.

Every cell above was checked against the vendor’s own documentation in September 2026. Where a vendor’s pages describe a capability in different ways, the pricing table was treated as the reference.

An orchestration agent can decide that a lapsing customer in Manchester should see a video ad for the new colorway on Thursday. Four of the five cannot make that video. A media-buying agent can decide the video deserves 40% of Thursday’s budget and refresh it when it fatigues. TikTok Smart+ is one example: its own setup guide asks you to supply the creative assets. HubSpot’s video AI works on footage you already own.

So for most stacks the campaign still stops where it stopped before anyone said the word agentic. Someone has to produce the asset.

For text the gap is closed. Jasper, Copy.ai and every orchestration suite write copy natively. For images it is mostly closed: HubSpot, Adobe and ActiveCampaign generate stills directly, Salesforce routes through Typeface, and Netcore’s pages describe image generation in different ways. For video, ten of the thirteen leave it outside scope, and video is where paid social spends.

Where DesignerBox fits, and where it does not

DesignerBox is not an agentic marketing platform. It does not hold your customer data, build segments, run journeys, or buy media. If you are shortlisting a system to own the customer, it is not on that shortlist, and the five above are.

It sits in the fifth layer, as the thing an agent calls when the plan requires an asset. That works because of two pieces. The catalog is image and video models, including Veo 3.1, Seedance 2.0, Kling 2.6 Pro and Runway Gen-4.5, so a video brief has somewhere to land. And the 74 MCP tools expose generation, brand profiles, pipelines and the asset library over the Model Context Protocol, an open-source standard for connecting AI applications to external systems that Claude, ChatGPT, VS Code and Cursor all support. Anthropic open-sourced MCP in November 2024. n8n’s AI Agent node can call MCP servers, and Gumloop hosts them, as their own documentation states. MCP for marketing lists the servers and connectors by job.

The practical shape is that your agent plans the campaign in whichever orchestration platform you bought, then calls a generation tool for the assets, then hands them to the buying layer. The full tool reference covers what is callable, and the connect guide covers the setup for Claude, Cursor and ChatGPT. For Codex and agents you built yourself, see how to give an AI agent creative skills and models.

The part that matters at volume is that the creative step is built once. You set the brand rules, the products and the model choice on the first campaign, and the agent calls the same saved workflow for the next product and the next market, or hands the whole sheet to batch in one pass. That is what keeps asset one and asset two hundred to the same standard when the orchestration layer starts asking for a variant a day.

Costs are per operation rather than per seat, and the cost of the run is shown before you press Run. The image model in the step sets the rate, so there is no flat per-image price. An 8-second clip costs 40 to 560 credits, depending on the model.

The full workflow from the first product photo to the finished ad, in one subscription. The stills, the video, the editors, the brand record and the asset library come from one vendor.

Uploading your own photos and the commercial license start on the Pro plan. AI video, virtual try-on, upscaling, the image editor and the video editor start on the Premium plan. Team features, shared brand kits and white label are on the Ultra plan, and every plan below Ultra is one seat. There is a free plan, and it cannot make video. Plans and credits are on the pricing page.

Weigh the trade-off. Adding an execution layer means another vendor. If your creative need is a handful of stills a month, the image generation already inside HubSpot or ActiveCampaign covers it and you should use that. The case for a separate layer starts when video is in the plan, when you need to choose a model per shot, or when the assets must derive from a real product photo rather than a text prompt. The tool comparisons cover that decision one product at a time, and what to hand an AI creative agent covers what stays with your team either way.

How to choose an agentic marketing platform

Work in this order.

1. Name the layer you are missing. Most teams already own one. If you have HubSpot, you have an orchestration agent. Buying a second one adds cost and no new layer.
2. Check where your data lives. Orchestration agents are only as good as the customer data underneath. A platform that needs a warehouse you do not have will underperform a cheaper one that reads what you already collect.
3. Count your video need in assets per month. A low count may fit what is bundled. A high count is the case for pricing the execution layer separately before you commit to a suite.
4. Ask for the metering, not the license price. Salesforce charges per action and per conversation, HubSpot per credit, Adobe per AI credit on quote. The subscription line rarely predicts the bill.
5. Get the quote-only vendors to quote early. Adobe’s agent layer and Netcore’s platform do not publish. That is a procurement timeline as well as a number.
6. Run one real campaign through a trial. Not a demo brief. A campaign you were going to run anyway, with your product, your brand rules and your approval chain.

What AI marketing agents still cannot do

They cannot own the quality call. Several vendors here describe a human approval step in their own copy. Netcore’s own framing keeps “final approvals” with marketers. That is the design.

They cannot guarantee consistency across a set. Each asset is generated as a separate job. Color, lighting, model and background drift between them, and the drift only shows when you put the campaign in one deck. The four inputs an agent has to reach covers what to pin down before it happens.

They cannot absorb your disclosure obligation. Article 50 of the EU AI Act has applied since 2 August 2026. Providers of systems generating synthetic image, video, audio or text must “ensure that AI-generated or manipulated content are marked in a machine-readable format and detectable as artificially generated or manipulated”, and deployers of deepfake content must disclose it to people “upon first exposure at the latest” in “a clear and distinguishable manner” (digital-strategy.ec.europa.eu, September 2026). A limited grace period runs to 2 December 2026 for the marking obligation on systems placed on the market before 2 August 2026. Machine-readable marks alone do not satisfy the deployer duty. This is general information, not legal advice. Have counsel scope the obligation against the markets you run in.

They cannot fix a thin creative supply. An agent that refreshes fatigued creative needs new creative to refresh with. Running out of assets is the constraint most teams hit in month two, which is the argument for treating creative production as its own system.

FAQ

What is the best agentic marketing platform in 2026?

There is no single best one, because the thirteen platforms here do four different jobs. For enterprises on Salesforce data, Agentforce Marketing. For mid-market teams wanting many agents on one bill, HubSpot. For enterprises needing creative and orchestration from one vendor, Adobe CX Enterprise. For lifecycle teams on a budget, ActiveCampaign, which publishes its tiers on its own pricing page (activecampaign.com/pricing, September 2026).

Is agentic marketing the same as marketing automation?

No. Automation executes rules you defined in advance. An agent is given a goal and chooses the steps itself, then changes them as results arrive. The practical test is whether the software can take an action you did not explicitly configure.

How much do agentic marketing platforms cost?

Each vendor publishes its own plans. ActiveCampaign and Salesforce Marketing Cloud Next both list annual billing (activecampaign.com/pricing and salesforce.com/marketing/pricing, September 2026). HubSpot adds a required one-time onboarding fee on top of the subscription (hubspot.com/pricing/marketing, September 2026). Adobe’s agent layer and Netcore’s platform give prices only on request. Budget for consumption as well, because Salesforce meters agent actions and HubSpot meters agent credits.

Can an agentic marketing platform generate video ads?

Of the five orchestration platforms compared here, only Adobe generates video natively, through the Firefly Video Model. HubSpot’s video AI scripts, clips, captions and translates footage you supply. Salesforce, ActiveCampaign and Netcore do not claim video generation on any page reviewed in September 2026. TikTok Smart+ requires you to provide creative assets.

Do I need AI marketing agents and a creative tool?

Only if video is in your plan or your volume is high. Four of the five orchestration suites generate static images, so a team producing a few stills a month is already covered. Teams producing video, or needing per shot model choice, generally add a separate execution layer.

Are AI marketing agents fully autonomous?

Not as sold in 2026. Several vendors here describe a human approval step in their own product copy. Agents plan and execute well. The decision about whether output is on brand, accurate and legally safe stays with your team.

Do I have to disclose AI-generated ads?

In the EU, Article 50 of the AI Act has applied since 2 August 2026 and requires machine-readable marking of synthetic content plus clear disclosure of deepfake image, audio and video to viewers. Meta separately applies its own AI label when its in-house generative features significantly edit an image or video. Check each platform’s policy for the markets you run in.

Sources

• Agentforce Marketing described as “formerly Marketing Cloud”, Marketing Cloud Next as the flagship product, and the agentic framing of marketers setting strategy while agents execute: (salesforce.com/marketing and salesforce.com/marketing/agentic-marketing, September 2026)
• Marketing Cloud Next editions, priced per organization per month and billed annually: (salesforce.com/marketing/pricing, September 2026)
• Agentforce consumption billed through Flex Credits, per conversation, or a per user license: (salesforce.com/agentforce/pricing, September 2026)
• Einstein generative AI generating subject line and body copy, and Typeface as “a non-SFDC application” for image generation: (help.salesforce.com, September 2026)
• Agent Hub included in every paid edition: (hubspot.com/products/artificial-intelligence, September 2026)
• HubSpot Marketing Hub per-seat plans, billing periods and the one-time onboarding fee: (hubspot.com/pricing/marketing, September 2026)
• Included credits by edition and the credit cost of each agent action: (legal.hubspot.com/hubspot-product-and-services-catalog, September 2026)
• HubSpot AI image generation for blogs, pages, emails and social, and video AI limited to scripting, clipping, captioning and translation of uploaded footage: (knowledge.hubspot.com, September 2026)
• Adobe CX Enterprise announced 20 April 2026 at Adobe Summit and CX Enterprise Coworker general availability on 10 June 2026: (news.adobe.com, 2026)
• Adobe Agent Orchestrator AI Credit quotes available only through an Adobe sales representative: (business.adobe.com, September 2026)
• Firefly plans metered in generative credits, Firefly Image Model 5, Firefly Video Model 1080p output, and partner models including Veo 3.1, Nano Banana 2, Runway Gen-4.5 and Kling 2.5 Turbo: (adobe.com/products/firefly/plans, September 2026)
• ActiveCampaign plans priced by contact count and billed annually, with AI image generation on Plus and above and no video generation listed: (activecampaign.com/pricing, September 2026)
• Netcore Agentic Marketing Platform agent roster, the one published rupee rate for a monthly tracked-user tier, the “Content Agent (AI Text)” label in the pricing table, and the rebrand from netcorecloud.com to netcore.ai on 30 July 2026: (netcore.ai, September 2026)
• Muse Image announcement of 7 July 2026, planned access through Advantage+ creative, and Muse Video in development: (about.fb.com, July 2026, read October 2026)
• Meta AI labeling when in-house generative AI creative features significantly edit an image or video: (facebook.com, October 2026)
• TikTok Smart+ requiring advertisers to provide KPIs, creative assets and target geography and language, and its creative combination, fatigue detection and auto-refresh behavior: (ads.tiktok.com, September 2026)
• Superscale plans metered in credits and generations, and the five day trial: (superscale.ai/pricing, September 2026)
• Superscale creative output including AI UGC video, static ads and CTA screens, its multi-model routing, and the “Coming soon” label on the Launch and Scheduling step for Meta and Google Ads: (superscale.ai, September 2026)
• Superscale assigning output rights to the customer, the contract-duration limit on the right to use the platform, and the model-training clause with objection through account settings: (superscale.ai/data/terms-and-conditions, last updated April 2025, accessed September 2026)
• n8n cloud plans priced against a monthly execution count and billed annually, the execution definition, and the AI Agent node calling tools including MCP servers: (n8n.io/pricing and docs.n8n.io, September 2026)
• Zapier Agents free plan and the core platform priced separately: (zapier.com/pricing and zapier.com/agents, September 2026)
• Gumloop credit metering and the 14 day trial: (gumloop.com/pricing, September 2026)
• Jasper per-seat plans, the 100+ marketing agents, and Image Pipelines operations and positioning: (jasper.ai/pricing, jasper.ai/agents and jasper.ai/image/pipelines, September 2026)
• Copy.ai entry plan billing and annual workflow plans metered in workflow credits: (copy.ai/prices, September 2026)
• Anthropic open-sourcing the Model Context Protocol in November 2024: (anthropic.com, accessed September 2026)
• EU AI Act Article 50 applying from 2 August 2026, machine-readable marking of synthetic content, deepfake disclosure upon first exposure, and the Article 50(2) marking grace period to 2 December 2026 for systems placed on the market before 2 August 2026: (digital-strategy.ec.europa.eu, September 2026)
• Model Context Protocol as an open-source standard for connecting AI applications to external systems: (modelcontextprotocol.io, October 2026)
• DesignerBox plans, the video credit range, the model catalog and feature gating: (designerbox.ai/pricing and designerbox.ai/mcp, September 2026)

Platform pricing and capabilities verified from each vendor’s own pricing, product and documentation pages as of September 2026. The Meta Muse Image announcement and the Model Context Protocol definition were re-read on 2 October 2026, and the Meta Business Help page on AI labels on 7 October 2026. Pricing in this category changes frequently and several vendors publish quote-only. Individual results vary.