Frase saves hours on SEO content, but it isn’t flawless. Sometimes outlines show duplicate headings, SERPs don’t refresh properly, or NLP keywords feel irrelevant. The good news? Most of these errors have quick fixes. In this guide, we’ll cover the most common issues and how to solve them in 2025.
India Snapshot
- Plans: Solo $15 (
₹1,250), Basic $45 (₹3,700), Team $115 (~₹9,500). - Add-ons: SEO Add-on ($35/mo, ~₹2,900), AI Writer Add-on ($35/mo, ~₹2,900).
- Trial: Limited free trial available.
- Best For: SEO bloggers, agencies, e-commerce sellers.
- Billing: USD-only; INR billing not available.
Start Frase Free Trial and test SEO workflows today.
Common Frase Errors & How to Fix Them
1. Duplicate Headings in Outlines
Problem: Frase often imports the same H2/H3 multiple times from SERPs.
Fix:
- Manually delete dupes inside the outline builder.
- Cross-check with live SERPs before finalizing.
- Keep 8–12 unique headings max for clarity.
2. Outdated SERP Data
Problem: Frase sometimes pulls SERP results that are weeks old.
Fix:
- Hit the SERP Refresh button inside the editor.
- If still outdated, re-enter the keyword and create a fresh doc.
- Compare with Google search manually to confirm.
3. Misleading NLP Keywords
Problem: NLP tab sometimes suggests irrelevant terms or brand names.
Fix:
- Filter for high-volume keywords only.
- Remove competitor brand names unless comparison content is planned.
- Cross-check with Ahrefs/Semrush for accuracy.
4. AI Draft Repetition (Looping Text)
Problem: Frase’s AI Writer may repeat phrases.
Fix:
- Regenerate in smaller sections (intro, body, conclusion separately).
- Edit manually to avoid redundancy.
- Use ChatGPT alongside Frase for smoother drafting.
5. Content Score Stuck at Low Levels
Problem: Even after adding keywords, score remains low.
Fix:
- Refresh NLP data.
- Add missing semantic terms naturally.
- Increase word count closer to competitor average.
Real India Use Cases
- Blogger in Delhi: Fixed duplicate headings by manually editing outlines.
- Agency in Mumbai: Uses SERP Refresh before drafting client content.
- E-commerce team: Filters NLP terms to exclude irrelevant U.S. brand keywords.
Pros
- Quick fixes available for most errors.
- Saves research time despite glitches.
- Strong optimization tools.
Cons
- USD-only billing for Indian users.
- Occasional SERP lags.
- NLP data sometimes noisy.
Frase isn’t perfect—duplicates, outdated SERPs, and NLP quirks happen. But with a few simple fixes, you can keep producing SEO-ready content fast. For Indian users, the Basic plan works well, while agencies may need the Team + SEO Add-on combo.
Try Frase Free and learn how to handle common errors while scaling content in 2025.
