Do you spend hours writing blogs, product pages, guides and other digital content only to see disappointing engagement metrics?
It‘s frustrating. Producing consumable content that ranks and resonates with searchers is tough.
But what if AI could analyze your text and provide specific, data-backed suggestions to boost attraction before you hit publish?
Enter Semrush‘s nifty SEO Writing Assistant. This smart utility inspects your content and identifies improvements for readability, search visibility, uniqueness and more.
In this guide, let‘s explore how the tool works and concrete tactics to leverage it for content that wows.
Why You Need an AI-Powered Writing Assistant
Producing digital content involves several key elements:
- Informative value – Answers searcher questions/queries
- Engaging style – Easy-to-consume scan-friendly structure
- SEO optimization – Ranking for relevant keyword searches
- Error-free – Grammar, spelling or fact problems erode trust
- Original – Unique perspectives not found elsewhere
Getting all of these right consistently while creating large volumes of content is extremely difficult.
This affects key engagement metrics downstream:
- Bounce rate: Over 58% of content suffers from bounce rates exceeding 55% within 3 months of publication according to moz.com
- Pages per session: Average pages per session metrics indicate over 63% of articles see under 3 pages visited before exit as per metrics provided by WAVE analysis on over 62000 webpages.
- Visitor duration: The average visit duration for content pages is under 2 minutes according to heuristics published by Neil Patel based on aggregate indicators.
Such poor consumption signals issues in keeping visitors engaged. This also limits search visibility as engagement is an SEO ranking factor.
This is where Semrush‘s writing assistant comes in.
The nifty utility acts like an extra set of eyes, reviewing your writing and highlighting areas of improvement across multiple facets. Like a friendly writing coach!
Specific benefits the tool provides include:
1. Identifying readability flaws:
Assess vocabulary complexity, sentence structure, paragraph length and other areas affecting reading ease. These have a proven correlation with engagement.
Blogs with higher Flesch ease scores saw 55.7% more social shares according to research by orbitmedia.com.
2. Optimizing search visibility:
Get keyword recommendations and detailed SEO feedback tailored to your target terms. This shapes content aligned with ranking potential.
Pages ranking on Google‘s first page have 32.5% higher CTR than second page rankings according to Ahrefs data.
3. Preserving consistent tone:
Ensure your content style and voice matches your brand identity based on AI analysis. Dissonance here feels unnatural.
Research by the Content Marketing Institute highlights inconsistent branding reduces audience trust by over 33%.
4. Checking originality:
The tool detects copied sentences and checks against plagiarism improving uniqueness. Unique perspectives attract links which signal authority.
Pages with >10 external backlinks have 138% higher search visibility according to Moz.
5. Benchmarking overall optimization levels:
Leverage an overall 0-100 score to set a target quality threshold for your team‘s content before launch. Quantitatively track improvements over time.
Let‘s now break down how Semrush technical works to provide these benefits.
An Inside Look: How Semrush‘s Writing Assistant Operates
At its core, Semrush utilizes artificial intelligence and natural language processing…
