Query and intent classification
Group search queries using a taxonomy suited to your business. We review sample classifications, handle ambiguous terms, and define how the team should check uncertain results.
AI & automation
I help SEO teams turn specific analysis tasks into AI-assisted workflows. That can mean classifying Arabic queries, organising a content inventory, or reviewing large exports. We start with the decision your team needs to make, then define the data, model output, and review process around it.
Freelance experience
These brands are part of my freelance SEO portfolio.















The work behind the service
An AI model can produce a convincing answer without giving your team something they can use. The difficult part is deciding what information to provide, what the answer should contain, and how to check it. I help translate that into a repeatable process, with particular attention to Arabic terminology and the context behind your SEO data.
Scope and deliverables
We agree on the scope after reviewing your requirements. A project can focus on one of these areas or combine the relevant work.
Group search queries using a taxonomy suited to your business. We review sample classifications, handle ambiguous terms, and define how the team should check uncertain results.
Use page data, titles, or approved source content to identify topics and organise a content inventory. Outputs can feed an editorial review or a more detailed SEO investigation.
Define the fields your process needs and validate returned data before passing it to another tool. I can connect the workflow to your spreadsheets, databases, or internal applications.
Create a sample set to compare outputs, record the model and prompt settings, and document the review steps. Your team can see what needs checking when the workflow changes.
Working together
We select a recurring SEO question and inspect a representative sample of the data.
I create the workflow and review its output against examples your team has checked.
We connect the agreed output to your process and document how to run and review it.
Experience and related work
My Arabic NLP tutorial shows a workflow for cleaning article titles and finding potentially overlapping topics. It is an example of working through the data and reviewing the output before making editorial decisions.
Before we start
Yes. We can use Arabic queries and content, with examples from your target market. Dialect differences, spelling variations, and ambiguous terms should be part of the evaluation sample.
Usually we can build around the tools and exports you already use. We first check which APIs, data formats, and integrations are available.
We define the level of automation for each task. Recommendations that change content or indexing can remain subject to your team's review before anything is applied.
AI workflows for SEO
Tell me which analysis task your team repeats, where the data comes from, and what a useful result would look like.