TheProjectSEO resources

SEO research you can use—and bring into execution.

Guides, definitions, project evidence and operating methods for Google, Bing and AI search. Every live resource is connected to the relevant service so a qualified reader can move from understanding the problem to solving it.

How to use the library

Start with the decision, not the resource format.

The same SEO question can require a definition, a complete guide, project evidence or specialist implementation. These paths connect the live content so you can find the shortest useful route from the search problem to the next action.

If the terminology is the blocker, start with the SEO terminology library before choosing the relevant implementation path.

01

Diagnose a technical search problem

Start with the technical SEO audit guide, then use the glossary for canonical, indexability, robots.txt, crawl budget, schema markup and Core Web Vitals definitions. Move into technical SEO services when the issue needs template changes, engineering acceptance criteria or release validation.

Open the technical audit guide

02

Plan or improve an important page

Use the keyword-tool comparison to select the right dataset, the search-intent definition to choose a page owner and the content optimization checklist to research, write, source, internally link and measure the page. The content service supports teams that need the complete production system.

Use the content checklist

03

Understand Google and AI search together

Begin with the ranking system guide, then compare AEO, GEO, LLM visibility, entity SEO and Knowledge Graph terminology. The AI-visibility measurement method explains how to use prompt panels, repeated observations, citations and referrals without turning mentions into one opaque score.

Review the AI measurement method

04

Evaluate an SEO agency or engagement

Review the delivery methodology, service scope, pricing model and approved case studies. A qualified engagement should identify the affected page cohort, evidence, implementation owners, dependencies and validation method before it promises an outcome.

Review the methodology

Research standard

Sources, scope and uncertainty stay visible.

Priority pages use live DataForSEO result collection and the local Python content optimizer supplied for this project.

Official documentation supports changing platform claims. Approved project evidence is separated from general advice, and image locations remain empty until the final screenshots are supplied.

No resource promises a ranking, hides an affiliate comparison or creates a separate page simply because another keyword variation exists.

Need the implementation?

Bring us the site, market and business outcome.

We will use the same research process to identify the page cohort and constraint, then scope technical, content, authority, analytics or AI-search work around an outcome your team can verify.