Redefining SEO Automation in 2021 - Search Engine Journal

This post was sponsored by seoClarity. The opinions expressed in this article are the sponsor’s own.

We all know SEO is hard.

SEO at the enterprise level? Even harder.

With sites that consist of thousands (or millions) of pages and multiple teams managing it, the entire team needs to work together, then wait countless weeks or months for it to be prioritized, then implemented.

It doesn’t help that SEO teams are typically small, under-resourced, and wear multiple hats.

And the likelihood of actually getting your projects prioritized with the IT team is slim to none because of conflicting priorities.

These roadblocks come together to form one of the largest SEO challenges: Lack of time on the path from data, to insights, to execution, to results.

While automating rank tracking, reporting, site crawls, and links gives SEO professionals access to large data sets that allow them to make smarter decisions, the SERP continues to become more complex.

Google can understand well beyond what’s on a single page – it considers content’s relevance, the overall page experience, and plenty more.

SEO professionals can’t singlehandedly keep up with the pace of Google’s advancements.

There’s too much data to act on for any human agent alone. Automation, however, works around the clock and can generate insights that would otherwise take hours to reach.

With Google’s fast pace of change, we have no time to waste.

The Evolution of SEO Automation

At seoClarity, we identified three generations...

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