Keyword Gaps to Multilingual Drafts
Research keyword gaps, choose a topic, and prepare sourced content with locale-specific titles and descriptions. Create CMS drafts after review; publication is a separate step.
What Okou delivers: this blog, in ten languages
This is not a mock-up. The Okou blog runs on this workflow, so the sample below is the real CMS entry for one of our posts and its ten published localizations. Every title, meta description and URL is live right now, and each language was adapted for its market rather than machine-translated from the English.
What this entry contains
One approved topic became one master entry and ten localizations. Okou wrote the post, generated the cover image and uploaded it to the media library, wrote a distinct meta description per locale, and created every language in the CMS as a draft. A human reviewed each one and published.
- Locales published
- 10en, ja, de, fr, es, it, pt-BR, ko, hi, id
- Written per locale
- 3 fieldstitle, meta description, body
- Generated assets
- 1 coveruploaded to the CMS media library
What is an AI SEO agent?
An AI SEO agent runs the SEO content loop end to end rather than assisting with one step of it: it pulls live keyword data, decides which topics are worth writing, produces the post and its imagery, and publishes the result to your CMS. Research keyword gaps, choose a topic, and prepare sourced content with locale-specific titles and descriptions. Create CMS drafts after review; publication is a separate step.
Why SEO content stalls between research and publishing
SEO content stalls in the gap between research and publishing. Someone exports a keyword list, someone else argues over which ten topics are worth writing, a writer drafts one of them, a designer gets briefed for cover art, and then the whole thing is re-keyed into the CMS and handed off for translation. Four weeks later two posts are live and a competitor has already filled the gap you found. Okou closes that loop in one request: it reads live volume and difficulty data from Ahrefs, ranks the topic clusters worth writing, waits for you to pick one, drafts it, generates the cover image, and publishes every locale to your CMS as drafts.
How Okou automates SEO content in every language
1. Choose the accounts and access
2. Start in the Okou conversation
3. Review and reuse the workflow
Ahrefs and Strapi integrations for SEO publishing
This workflow is an Ahrefs to Strapi pipeline with an agent in the middle: Okou reads keyword data from Ahrefs, drafts against it, and writes finished entries to Strapi. Each connector is granted separately and scoped to what the workflow uses, so read access to your keyword data never implies write access to your CMS.
Ahrefs integration: the keyword data Okou reads
RequiredOkou inspects the keyword and ranking data available to the connected Ahrefs account, including the country, date, and limits of the returned metrics. It compares the evidence with existing content before proposing topics. Unavailable fields are reported as missing rather than inferred.
Strapi integration: the entries Okou creates
RequiredOkou inspects the collection schema, locale configuration, and draft/publish support before writing. For the approved topic, it prepares the mapped content and cover asset and creates reviewable drafts where supported. A missing field or incompatible publishing setup is resolved before a write.
Okou vs. an AI writing tool vs. a translation vendor
SEO content automation covers three jobs that usually sit with three different tools: deciding what to write, writing it, and shipping it in every language. Most teams automate the middle one and hand-carry the other two.
AI writing tools
A prompt goes in, a draft comes out. They are fast once you know the topic, but the topic decision, the keyword data behind it, the cover image, and the CMS entry are all still yours to handle.
Translation vendors
Good output, real turnaround. You submit a finished English post and get localized copy back days later, then someone re-keys each version into the CMS with the right locale tag.
Okou's SEO content workflow
One request covers the whole loop: keyword research in Ahrefs, a ranked topic shortlist you approve, the draft, the generated cover image, and every locale created in Strapi as a reviewable draft.
Tips for better results
Frequently asked questions
How do you automate SEO keyword research with AI?
Choose seed terms, market, and language. Okou reads the keyword and ranking data available to your Ahrefs account, compares existing pages, groups supported opportunities, and returns a shortlist with sources and gaps in the evidence.
Does Okou pick the topic, or do I?
You do. Okou ranks the shortlist and stops there. Nothing is drafted, no image is generated, and nothing reaches your CMS until you reply with the topic you want. That review step exists because keyword data will happily rank a topic your team has a good reason to skip.
Can an AI agent generate the cover image too?
Yes. Once you approve the topic, Okou generates a cover image for the post and uploads it to your CMS media library, linked to the entry. Give it your brand palette or a reference image and the result stays consistent with your existing posts.
How does Okou handle multilingual content marketing?
Okou adapts each version for its market rather than machine-translating the English one. Register, examples, and headline structure change per locale while the keyword intent stays the same, and each localization is created in your CMS with the correct locale tag and field mapping.
Does Okou publish content live?
No. Every entry and every localization is created as a Draft. Okou returns a link to the Strapi admin so someone on your team reviews each locale and publishes when it is ready.
Which tools does the SEO publishing automation need?
This example uses Ahrefs for keyword evidence and Strapi for CMS drafts. You can review research and copy in chat before connecting a CMS. Another source or CMS must support the required operations and account access.
Can Okou run keyword research on a schedule?
Yes. Create an automation that runs weekly, pulls fresh keyword data, compares it against a competitor domain, and posts the biggest gaps to a Slack channel with a suggested title for each. Drafting still waits for someone to approve a topic.
Does this work with a CMS other than Strapi?
This page is written against Strapi because that is the CMS connector these steps use. The shape of the workflow, research then shortlist then draft then image then one entry per locale, does not depend on Strapi, so it carries over to any CMS Okou has a connector for.
Run your first keyword-to-published-post pass
Start in the Okou conversation with your sources and the result you need. Review the first result, then decide which parts to save as a workflow.
