
Semantic Search vs Keyword Search: How Each Works and What It Means for SEO
Keyword search matches terms. Semantic search matches meaning. Here is how each one works under the hood, where each breaks, and what it changes in the files you ship.
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Keyword search matches terms. Semantic search matches meaning. Here is how each one works under the hood, where each breaks, and what it changes in the files you ship.

There is no Google API that returns "where do I rank for this keyword". There are two substitutes: Search Console data and scraped SERP results. Here is how each one works.

Content at Scale review: the tool generates long-form drafts in a hosted app. For a developer, the open question is who reviews the file change before it ships.

A bulk keyword rank checker can mean two different things: reading positions Google already measured, or scraping results for a keyword list. Here is when to use each.

PageRank scores a page by the links pointing at it, weighted by the score of the pages that link. Here is the formula, a runnable example, and what developers can still use.

White hat SEO techniques are the ones that comply with Google's spam policies. A developer's list of what to ship, what to avoid, and how to review it in a pull request.

Google holds about 90% of worldwide searches, Bing about 5%. Here are the September 2026 numbers, the desktop and mobile split, and what it means for where you spend SEO effort.

Competitor keyword research shows which searches rivals win that you have no page for. Here is a method to pick the right rivals, filter the gaps and ship pages from them.

Most SEOs say three to six months. That number hides four separate clocks: crawling, indexing, ranking and authority. Here is what each one depends on and what you can measure in week one.

Schema.org defines hundreds of types, and a typical site needs about eight. Here are the types of schema in SEO grouped by what they describe, the three syntax formats, which Google features have been retired, and how to choose.

Search Console shows a sample of the links Google has found to your site, free and first-party. Here is where the report lives, what each table answers, how to export it, and when you need a second data source.

Fifteen meta description examples matched to search intent, a repeatable way to write them, and how to review descriptions in a pull request before they ship.
SEOAgent for GitHub
Connect the repo your site lives in. SEOAgent finds what holds the site back in search and fixes it in pull requests. You review and merge every change.