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Topic Discovery and SEO

Alfa’s SEO workflow spans two layers:

• planning the right topics before writing
• tightening SEO details once an article exists

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Planning Layer: Topic Discovery

Topic discovery is where Alfa turns a brand into a content backlog instead of a random list of ideas.

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Topic Data Alfa Tracks

Saved topics can include:

• funnel stage
• topic type
• title
• primary keyword
• secondary keywords
• search volume
• keyword difficulty
• search intent
• rationale

This makes the backlog sortable and reusable, especially when you want to prioritize bottom-funnel or low-competition opportunities first.

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Writing Layer: Article SEO Controls

When an article run completes, Alfa exposes SEO-facing controls in the review workflow.

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Common Fields

• SEO title
• slug
• meta description
• keyword
• brand/site context
• schema output

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Search Intent and Article Shape

Alfa does not treat every keyword the same way. The writing interface and parser map requests into explicit article forms such as:

• comparison
• alternatives
• how-to
• listicle
• review
• broader topic guide

That helps the pipeline create a structure that matches the searcher’s likely job instead of forcing every request through the same article mold.

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Internal Linking

Internal linking is partially powered by brand setup. If you save meaningful internal links in the brand profile, Alfa has better material to work with at generation and review time.

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Why This Matters

The benefit of Alfa’s approach is that SEO work starts before the first paragraph is written.

Instead of treating SEO as post-processing only, Alfa lets you:

• discover topic opportunities
• save and organize topic backlogs
• generate from those topics later
• refine metadata after the article is done

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