Execution versus content generation
Does it only draft posts, ads and emails, or does it publish, adjust and send on your connected accounts? Both are useful; they are different purchases.
What Nommos agents executeComparison
The best AI marketing tools for the work you need done
There is no single best AI marketing tool — only the best one for the job. This page sets out the questions that separate tools that execute from tools that draft, compares the main types fairly, and says where Nommos is not the right choice. In a category under this much scrutiny, showing depth is more useful than describing ambition.
Evaluation criteria
How to evaluate AI marketing tools
Eight questions that separate the tools that run your marketing from the ones that help you write it. Ask each vendor to show the answer, not describe it.
Supported marketing channels
Count the channels it actually operates — social networks, ad networks, email, SMS, WhatsApp, web chat — not the ones it can write copy for.
Every channel in the platformCRM and customer-data integration
Can it read and act on contacts, segments and lifecycle stages, or does every action start from a manual export?
The Nommos CRMAdvertising capabilities
Look for real campaign controls — budgets, placements, bid strategies, audiences and conversion events — rather than ad copy alone.
Advertising across five networksAnalytics and attribution
Can it show what an action led to across channels, using data from your own site as well as each network's own reporting?
Analytics and tracking in NommosHuman approvals and governance
Is autonomy a setting you control per agent, with an approval queue for anything that should not run on its own?
How autonomy and approvals workAudit trails
Afterwards, can you see who or what took each action, when, and on which account — in a form that survives a review?
Audit trail and data securityMulti-brand support
If you run several brands or clients, are their data, teams and settings isolated, or do they share one workspace?
Multi-brand workspaces for agenciesTool types
AI marketing tools compared by type
Most products sold as AI marketing tools fall into one of four types. Each is the right choice for someone — the question is which job you are buying for.
| Capability | Nommos | AI writing assistants | Single-channel AI tools | AI inside marketing suites | AI agent platforms |
|---|---|---|---|---|---|
| Execution versus content generation | Included | Not included | Within its one channel | Partial | Partial |
| Supported marketing channels | Included | Not included | Partial | Partial | Partial |
| CRM and customer-data integration | Included | Not included | Partial | Included | Partial |
| Advertising capabilities | Included | Not included | Within its one channel | Partial | Partial |
| Analytics and attribution | Included | Not included | Within its one channel | Partial | Partial |
| Human approvals and governance | Included | You publish it yourself | Partial | Partial | Partial |
| Audit trails | Included | Not included | Partial | Partial | Partial |
| Multi-brand support | Included | Partial | Partial | Partial | Partial |
| Depth in one specialised job | Partial | Included | Included | Included | Partial |
This table describes what is typical of the category, not the current capability of any named product. Vendors change what they support; verify anything that matters to your decision against their own documentation.
Where each type is the better choice
AI writing assistants
When the job is the words themselves — long-form articles, scripts, campaign copy — and a person will publish them. A focused writing tool usually offers more editing depth than any execution platform, Nommos included.
Single-channel AI tools
When one channel is the whole job — only social scheduling, or only search ads. Products that do nothing else often go deeper in that channel than an all-in-one platform, and are simpler to adopt.
Compare social media suitesAI inside marketing suites
When your customer data already lives deep inside a large marketing or CRM suite and its own AI can read it directly. Switching has a real cost; adding the suite's assistant may be the simpler path.
Compare all-in-one marketing platformsAI agent platforms
When you want to set goals instead of configuring every rule, and have the agent carry out the steps. The category is young: ask for the four demo tests below before you commit.
Credit where it's due
What AI agent platforms get right
- The framing is correct — agents that pursue a goal and decide the steps are genuinely different from automation that follows a fixed script
- Goal-level control is a better interface than configuring every rule by hand
- Several are moving faster than incumbents on AI-native workflows
- Enterprise entrants have real advantages where a company's CRM data already lives in their ecosystem
Where AI agent platforms fall short
Two patterns recur in published analysis of this space.
- Many are thin layers over other companies' platforms, with little depth of their own — the vaporware charge
- Several are services in software packaging, requiring a human team behind the agent to deliver the outcome
- Autonomy is often described as a philosophy rather than exposed as a control you can set
- Few can show what the agent did afterwards in a way that survives an audit
How to tell the difference in a demo
Ask for these four. A thin layer cannot show them.
- A segment built live on a machine-learning score, with the match count updating as conditions are added
- A journey simulated against a real contact, with sending suppressed and the reason it stops shown
- Ad targeting down to individual placements, with retargeting audiences included and excluded
- The autonomy setting itself — changed mid-demo, with the approval queue filling up as a result
Nommos compared with a typical AI agent platform
| Capability | Nommos | Typical AI agent platform |
|---|---|---|
| Agents that act rather than draft | Included | Partial |
| Autonomy exposed as a per-agent setting | Included | Partial |
| Approval queue with in-place editing | Included | Partial |
| Audit trail covering agent actions | Included | Partial |
| Ad targeting at placement level | Included | Not included |
| Segment conditions on model scores | Included | Partial |
| Simulation before a journey sends | Included | Not included |
| Behavioural analytics on your own site | Included | Not included |
| Own consent management | Included | Not included |
| Isolated multi-brand workspaces | Included | Partial |
This table describes what is typical of the category, not the current capability of any named product. Vendors change what they support; verify anything that matters to your decision against their own documentation.
Who should not switch
- Teams that want an agency outcome rather than a platform they operate. Nommos is software you run
- Anyone whose CRM data lives deep in an enterprise ecosystem whose native agents can read it directly
- Teams wanting a single-purpose AI tool for one narrow job, where a focused product will be simpler
- Organisations that cannot allow any autonomous action at all — that is supported, but you would be buying a scheduler
Bring your current stack to the demo
The comparison that matters is against what you actually run, not against a category.