AI for SEO

Bilingual search work, with an editor signing off.

Agents that monitor your English and Arabic search results every day, run organic campaigns through APIs and MCP, draft pages from your own approved documents, and build bilingual landing pages that turn search visits into qualified enquiries. Your editor approves every page before it is published.

The problem

AI assistants are describing your company, with or without your facts.

Customers now ask AI assistants as well as search engines. If your site's facts are buried in images or slogans, or exist only in English, those answers will be incomplete. And the enquiries search does send often go unanswered.

Use case 01

Daily bilingual search monitoring

An agent checks the keyword set you choose across English and Arabic search results, records where you and your competitors appear, and sends a short daily summary of what changed, every item with its source. It reports what it sees and does not promise movement.

Connects to public search results · your inbox

A person approves the keyword set and the competitors it watches

Use case 02

Page copy drafted from your own documents

An assistant grounded in your product documents, specifications and approved claims drafts page copy and FAQs in Arabic and English, and cites the source of every factual claim. Nothing is published until an editor approves it.

Connects to your document store · your CMS drafts

A person approves every page before it is published

Use case 03

Programmatic bilingual landing pages

Calculators, quote flows and service pages built in Arabic and English with true right-to-left layouts, generated from structured data and reviewed by a person. Each search visit lands on a page that answers it, and every enquiry arrives with its page context.

Connects to your product or rate data · your CRM

A person approves the page templates and the copy

More use cases

Autonomous SEO agents

Agents that run organic campaigns, connected through APIs and MCP: the automation layer that owning the code makes possible.

A site AI assistants can read

llms.txt`, structured data and a machine-readable knowledge base: the same layer we build for our agents and run on our own site.

Search enquiries answered

Visitors who enquire from your organic pages are answered on WhatsApp or chat in their language, and the details are logged to CRM.

AI-visibility audit, recorded

We have recorded a full AI-visibility audit build: how a brand surfaces inside answer engines, and what SEO, GEO and AIO each contribute. Watch it on our videos page.

Agents do the legwork. Your editor decides.

  1. 01

    Discover

    We agree the English and Arabic searches that matter, the pages that should answer them, the documents the drafts may draw on, and who approves what. You get a written architecture and one success measure.

  2. 02

    Build

    Two-week increments, each ending in a working demo: the first daily summary, the first grounded draft, the first landing-page template.

  3. 03

    Launch and evaluate

    Agents go live behind the editorial approvals agreed in discovery. Drafts that miss a source or a claim rule are sent back, not published.

  4. 04

    Operate or hand over

    We run it on a monthly retainer, or hand it to your content team. The code sits in a repository you own.

How it runs

An editor approves

every page, before it is published.

Source attached

every factual claim in a draft cites its document.

EN · AR

monitoring and drafting in both languages.

2 weeks

per delivery increment, each ending in a working demo.

Your repo

the code, on your own cloud and API accounts.

Why us

A machine-readable layer

llms.txt`, structured data and one fact sheet, in English and Arabic.

Drafts from your sources, approved by an editor

Agents draft only from your approved knowledge base, and an editor approves every page.

Enquiries answered

Questions from search are answered on WhatsApp, the website and email, and logged to CRM.

Honest about results

We don't promise rankings or placements.

Best for

  • Bilingual sites serving Arabic- and English-speaking customers
  • Teams that want to know how AI assistants describe them today
  • Companies with a clear set of services and published facts

Related

Questions

Do you guarantee rankings?
No. We make your facts easy for search engines and AI assistants to read and quote, and we check how you appear before and after changes.
Will agents publish content on our site?
No. Agents draft from your approved sources, every draft cites its source, and an editor approves every page before it goes live.
What is `llms.txt`?
A plain file that points AI assistants to your key pages and facts. We publish it in English and Arabic and keep it up to date.
How do we start?
With a recorded check of how AI assistants describe your company today. We then work in two-week increments.

Start with one keyword set.

Book a free consult. Bring the English and Arabic searches that matter to you and the pages that should answer them, and we will show you what an agent would monitor, draft and hand to your editor.