Semrush SEO Writing Assistant
I used to write drafts blind until I paired Semrush's SEO Writing Assistant with a real-time SERP check. Now I rarely publish without it.
The short verdict
- Open the tool inside Google Docs to get recommendations as you type, avoiding context switches.
- Set your target keyword and location before writing to align recommendations with real SERP data.
- Ignore the tone-of-voice score unless your brand style guide demands it; it over-penalises informal writing.
- Cross-check the tool's recommended word count against actual top-10 content lengths using a rank tracker later.
- Export the final draft and monitor its movement in search results to validate the tool's suggestions.
What it's good at
I used it to optimise a product page targeting 'best noise cancelling headphones'. The assistant flagged that my H2s lacked the query's modifier and suggested adding 'wireless' and 'budget' variations. Within two weeks the page moved from position 18 to 11. The real-time feedback is its strongest asset: it scores readability, SEO, originality, and tone of voice on a live dashboard while you write. It integrates with Google Docs natively, which means I don't have to copy-paste drafts into a separate interface. For content that targets a clear informational or transactional query with one primary keyword, this setup saves time. The plagiarism check catches accidental duplicate phrasing from older posts. I once caught myself reusing an introductory sentence verbatim from a previous article – the tool flagged it before I published. The AI rewriter feature is handy for tightening flabby sentences, though I rarely use it verbatim. I also run [Google Trends](/google-trends/) alongside the assistant to validate that my keyword choice aligns with real search trajectory, not just the tool's default data. Overall, if you need to match a SERP pattern and improve basic on-page signals, this is your tool.
What it's awkward for
I changed my mind about the tool's value for competitive content. At first I thought 'more recommendations equals better content'. But when I used it on a comparison page targeting 'Ahrefs vs Semrush', the assistant kept pushing me to increase keyword density for each branded term. That approach ignores that Google understands context and entity relationships now. The tool also struggles with multi-intent queries. For a page targeting 'buy running shoes', the assistant wants you to optimise for commercial transactional intent, but the actual SERP might mix reviews, guides, and ecommerce. The tool's recommendations assume one primary keyword per page, which is outdated. I've also found it awkward for long-form pillar pages where the word count target is 3,000+ – the assistant caps out and stops giving useful feedback after about 2,000 words. And if your brand already ranks well, the tool's suggestions can lead you to over-optimise, harming readability. I now use it only as a secondary check, not a primary guide. I pair it with [Keywords Everywhere](/keywords-everywhere/) to keep an eye on keyword density without the assistant's pressure.
Alternatives I'd consider
If I need deeper SERP analysis, I switch to [Surfer SEO](/surferseo/). It uses live data to guide structure and word count rather than a simple score. For readability alone, the Hemingway Editor is lighter and doesn't require a Semrush subscription. For teams that need collaborative content grading without another SaaS fee, Google Docs' own readability stats are enough. I've tested [MozBar](/mozbar/) as a lightweight complement – it shows on-page metrics in the browser but doesn't grade the content. If the project involves local SEO, I pair the assistant with [BrightLocal](/brightlocal/) for local intent alignment. None of these replace the Writing Assistant's unified dashboard, but they avoid its blind spots. My rule: use the Writing Assistant for standalone blog posts with one target keyword; avoid it for product category pages or pillar content that covers multiple intents. The [SEO Tools](/seo-tools/) page on this site has a broader comparison if you're deciding between suites.
Next step
Quick answers
Is the SEO Writing Assistant worth the extra cost as a Semrush add-on?
It depends on your workflow. If you write consistently for the same client or domain and need real-time SERP alignment, the assistant saves time. For occasional content, the free readability stats in Google Docs suffice.
Does the tool work with Google Docs offline?
No. The assistant requires an internet connection to fetch SERP data and calculate scores. Offline drafts in Docs will only be analysed once you reconnect and refresh the sidebar.
Can I use it for content in languages other than English?
Yes, but the database is weaker for non-English queries. I tested it for German product descriptions and the keyword suggestions often missed local variations. Stick with English for reliable results.
How does it handle keyword stuffing?
It penalises excessive keyword repetition through the SEO score, but it won't stop you from publishing. I've seen it recommend more keywords than natural – cross-check against actual top-ranking content to avoid over-optimisation.
Sources
Primary documentation is linked directly. Anything commercial is marked nofollow.
- Semrush Knowledge Base: SEO Writing Assistant — Primary source for core features and workflow documentation.
- Google Workspace Marketplace: Semrush SEO Writing Assistant — Confirms Google Docs integration and editor workflow.
- Semrush Knowledge Base (Spanish) — SEO Writing Assistant — Adds detail on keyword, location, and device-based recommendations.
- Google Search Central — Best reference for aligning tool guidance with Google's content quality and SEO guidance.
Notes from Callum Bennett.