Automatic AI content generation in Aimogen is not a separate feature or a hidden mode. It is simply bulk generation executed on a schedule, using rules you define once and then let run repeatedly. The key to doing this safely is understanding that automation amplifies configuration. If the setup is correct, automation becomes stable and predictable. If the setup is sloppy, automation multiplies mistakes.
Everything starts with a working Aimogen installation and at least one connected AI provider. API keys must already be entered in Settings → API Keys and models must be visible. There is nothing else to enable. If models appear, the provider is active and ready for automation.
All automatic content generation is driven through the Bulk AI Post Creator. Even when you generate content from RSS feeds, CSV files, or structured external data, the bulk generator is the execution engine behind it. Automation is not a different system. It is the same generator running unattended.
The first step is deciding what drives the content. This can be keywords, post titles, RSS feeds, CSV rows, or structured inputs. For RSS-based automation there is no special RSS engine. You simply enter an RSS feed URL instead of keywords. Each feed item becomes an input source, and everything else behaves exactly like keyword-based bulk generation.
Once the input source is defined, instructions become the most important part of the setup. Instructions define tone, structure, intent, formatting, and language. The AI will follow them consistently every time the rule runs. Because automation repeats the same instructions again and again, they must be tested manually first. Running a few manual bulk generations before scheduling anything is not optional if you care about quality.
Next comes post behavior. You must decide where generated content goes and how visible it is. Post type, post status, categories, tags, featured images, and metadata settings determine how automation integrates into WordPress. For initial automation, draft status is strongly recommended. This allows you to review output without publishing mistakes at scale.
Once inputs, instructions, and post settings are correct, scheduling turns generation into automation. When a bulk rule is scheduled, Aimogen executes it automatically at the defined interval. There is no background guessing and no dynamic behavior. Each run uses the same configuration unless you change it.
Every scheduled run respects permissions, provider availability, usage limits, and fallback logic. If a limit is reached, execution stops immediately. If a provider fails, fallback rules apply. If all providers fail, the run ends safely without partial corruption. Automation never forces execution.
For RSS automation, this means new feed items are processed when the rule runs. Already processed items are skipped. For CSV automation, rows are consumed progressively. For keyword-based automation, titles are generated until the list or limits are exhausted. Nothing loops endlessly unless you design it to.
Monitoring is part of automation, not an afterthought. Usage Logs confirm that automation is running. Execution Logs explain why it ran or why it stopped. Statistics and graphs show whether automation is stable or trending toward excessive usage. Automatic generation without monitoring is how costs get out of control.
All automatically generated content is normal WordPress content. It uses standard post types, supports revisions if enabled, can be edited manually, translated, unpublished, or deleted. Automation does not lock content or mark it as special. Editorial control is never lost.
For more advanced setups, automation can trigger OmniBlocks instead of simple generators. In that case, each scheduled run executes a full AI workflow with multiple steps, data transformations, and validations. The principle remains the same: define once, execute repeatedly, monitor continuously.
The most common mistakes are enabling automation without manual testing, publishing immediately instead of drafting, and ignoring usage limits. Automation should always start small, slow, and conservative, then scale once behavior is proven stable.
When configured correctly, automatic AI content generation in Aimogen becomes intentionally boring. It runs quietly, produces consistent output, respects limits, and fits cleanly into your editorial workflow. That boring reliability is exactly what makes it powerful.
