is a category of technology that allows companies to streamline, automate, and measure SEO tasks and workflows, so they can increase operational efficiency and grow revenue faster.
Machine-assisted SEO helps marketers increase high-converting long tail search rankings, scale and accelerate their technical implementations, split test compelling search snippets, conduct SEO experiments, and measure SEO ROI.
Some of these practices are possible without software at small websites, but technology becomes essential with any scale and with the increasing number of channels marketers are required to manage. In particular, these processes all require:
A real-time issue and opportunity assessment engine. A place to review and approve all SEO issues, opportunities, and recommendations – including detailed issue description, analysis, and implications – so you can prioritize execution of the highest impact opportunities. Think of this as a prioritized “to do” list for all your SEO activity.
A fast SEO implementation and experimentation engine. An environment for the creation, management, and automation of SEO workflows and experiments across different types of pages. Think of this as the “orchestra conductor” for your SEO execution.
An analytics integration engine. A way to measure and optimize SEO ROI and impact on revenue. Think of this as the place you go to understand what worked, what didn’t, and where you can improve.
This chart is from a third party rank tracking website reviewing one of our clients. This client went online at the beginning of January 2017. It shows that RankSense improved rankings for 15,478 organic search keywords in February 2017 alone, just a month after this client implemented our software. You can see that our ranking improvements far exceeded previous manual efforts.
A quick path to rank #1 for highly competitive terms
No, it complements existing efforts focused on chasing high rankings. It is primarily about ranking for many more high converting long tail terms. Machine-assisted SEO helps aggregate marginal traffic and revenue gains at scale.
A fancy name for search analytics and ranking reporting
Not even close. Like the term suggests, machine-assisted SEO encompasses more than analytics – including real-time opportunity detection, automated execution, and precise measurement. What’s more, it injects robust, ROI-focused SEO tagging into your web analytics platform to create something that’s more than the sum of the parts.
A solution that delivers value without effort
If only you could just buy machine-assisted SEO technology, then sit back and watch the results produce themselves. But no. To deliver, it requires a clear SEO strategy that integrates the right processes, people, content, data, and more.
A solution that only benefits marketing
Yes, the marketing department benefits from machine-assisted SEO. But effective usage often improves marketing-IT alignment, which ultimately saves opportunity cost.
What Are the Most Common Use Cases?
Technical SEO changes are traditionally slow to implement, and oftentimes even impossible to execute due to limitations in the content management system or e-commerce platform. Machine-assisted SEO can help you implement any SEO changes without IT involvement.
Traffic Increase and Recovery
Regular site changes like taxonomy improvements and products going out of stock can lead to valuable links getting lost. Machine-assisted SEO can increase or recover traffic with minimal effort by reclaiming those valuable links automatically.
Risk-Free Site Changes
Big site changes like domain changes, platform migrations, redesigns, or moves to full HTTPS can bring great ranking loss risk. Machine-assisted SEO can help implement the changes incrementally, one section of the site at a time, with the ability to quickly rollback.
Traditionally, SEO search snippets are not split tested like paid search ads, leaving significant potential revenue on the table. Machine-assisted SEO makes experiments with titles, meta descriptions, and any other SEO change a reality.