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SerpGem
Content & Writing · 30 tools

Free content & writing tools for the publish-ready draft

Every tool here runs in your browser and answers a specific writer's question: is this paragraph too long, is the keyword density natural, how's the reading level, what's left to clean up before shipping. 23 focused tools, no signup, no limits.

Frequently Asked

Content & Writing questions, answered factually.

What is a Flesch-Kincaid readability score and what should mine be?
The Flesch Reading Ease score rates text from 0-100, where higher is easier. Target 60-70 for general web audiences (8th-9th grade level), which matches most news sites. Below 50 means the text requires college-level reading. The formula factors in sentence length and syllables per word — both penalize complexity. Our Readability Checker also reports Flesch-Kincaid Grade Level, SMOG, and ARI for cross-validation.
What keyword density should I aim for in 2026?
The old 1-3% rule is dead. Google's algorithms have used semantic analysis (BERT in 2019, MUM in 2021) for years and reward natural topical coverage over repetition. Aim for the keyword to appear 2-5 times in a 1,000-word article plus synonyms and entity co-occurrences. If density over 2.5% happens naturally, fine; if you're forcing it, you're keyword-stuffing and risk ranking loss.
How many characters should my meta description and title be?
Title: 50-60 characters (Google truncates around 580 pixels; titles longer than 60 chars get rewritten in Google's SERP ~60% of the time per a 2021 Zyppy study). Meta description: 120-160 characters on desktop, 120 on mobile. Our Character Counter and Title Pixel Checker both calculate these limits using the exact width tables Google uses.
Do I need to strip HTML before pasting into these tools?
Most tools handle mixed content gracefully — counters ignore tags, readability score strips them automatically. But for cleaner results on TF-IDF, content similarity, and keyword density checks, strip HTML first using our HTML Tag Stripper. It preserves line breaks and decodes entities (& → &, etc.), so the output is real prose.

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