Free Title Emotion Score Checker
Score the emotional impact of your blog or ad title. Increase CTR with proven emotional triggers. Free.
What this tool does
Title Emotion Score Checker delivers fast, reliable results for score the emotional impact of your blog or ad title. increase ctr with proven em.
Designed to fit into your existing SEO and content workflow with no setup overhead.
How to use it
Five steps.
Paste your headline
Drop the title or headline into the input field; single titles or bulk paste of 10-100 variants both work.
Set audience and topic context
Choose B2B or B2C scoring weights; enter your content topic to enable contextual scoring.
Review the score and emotion breakdown
See the 0-100 EMV score plus per-category breakdown across 8 emotion categories with specific power-word highlights.
Iterate on weak words
The tool flags neutral words and suggests stronger replacements per emotion category appropriate to your topic.
Compare top 3 variants and pick a winner
Score-and-rank multiple variants side by side; ship the highest-scoring variant that fits your character/pixel budget.
When teams use it
Six common workflows.
Optimizing blog post titles before publication
Content writers and editors use the scorer to refine titles from neutral to emotionally-charged before hitting publish. A title that scores 30 gets rewritten to 65-75, increasing organic CTR 25-40% with no other changes.
A/B testing email subject lines
Email marketers generate 5-10 subject line variants for a campaign, score each, and ship the top 3 to a small audience for live A/B test. The scorer pre-screens out weak variants so test budget focuses on competitive options.
Writing high-converting ad headlines
Google Ads, Meta Ads, and LinkedIn Ads all benefit from emotional headlines. Score each variant before submission; high-scoring variants typically achieve 2-3x higher CTR than neutral variants at the same bid.
Refining YouTube and podcast episode titles
Video and audio content rely heavily on emotional titles to drive impressions-to-clicks. Score titles before uploading; the curiosity-gap pattern works especially well for video content where viewers must commit several minutes.
Editorial review for content teams
Editorial teams use the scorer as a checklist item: every headline must score above 50 before publication. This baseline prevents flat headlines from shipping and trains writers over time to write emotionally.
Newsletter subject line optimization
Newsletter subjects benefit hugely from emotional scoring; subject line is the only thing readers see before deciding to open. Score 5+ variants per send, pick the highest, watch open rates rise 8-15% over baseline.
Platform guides
Integrate with major platforms.
WordPress blog post titles
- Score 3-5 title variants in the tool before publishing
- Pick the variant with score 65-80 that fits SERP character limit (50-60 chars)
- Use Yoast or Rank Math SEO Title Preview to verify display in SERP
- For high-stakes posts, A/B test top 2 variants via plugins like Title Experiments or Nelio AB Testing
- Track CTR in Google Search Console after publication; correlate scores to actual CTR over time
Email subject lines (Mailchimp, Klaviyo, Postmark)
- Generate 5-10 subject variants per campaign
- Score each in the tool; aim for 70-80 for promotional emails, 50-60 for transactional
- Use ESP A/B test feature: send top 2-3 variants to 10-20% of list, then send winner to remainder
- Compare emotional category to content type: greed/urgency for promotions, curiosity for newsletters
- Track open rate vs score over 6 months; build internal data on which categories convert your audience
YouTube video titles
- Score 5-10 title variants before uploading; YouTube CTR is heavily title-driven
- Use curiosity-gap and surprise category for discovery; trust and pride for educational content
- Keep titles under 60 characters for full display in mobile feed; 100 characters in desktop search
- Test thumbnail-title combinations using YouTube TrueView or YouTube Studio A/B tests
- Use score 70-80 for entertainment, 60-70 for educational, 50-60 for tutorials
Meta and LinkedIn ad headlines
- Score 8-12 variants for each ad campaign; ad platforms reward CTR with lower CPM
- Test 3-4 variants in adsets and let the platform optimize
- Use B2B mode for LinkedIn (pride, trust, intellectual); B2C mode for Meta (greed, urgency, curiosity)
- Avoid score above 85; ad platforms have spam-detection that downranks aggressive headlines
- Iterate weekly; replace lowest-CTR variants with new variants of similar score range
Podcast and YouTube series episode titles
- Maintain a series-style template (e.g., always start with "Ep #")
- Within the template, use the scorer for the unique part of each title
- Aim for 60-75 score; podcast titles do not need viral-level emotion but benefit from curiosity
- Combine emotional title with strong show notes for SEO from podcast transcripts
- Test title changes for older episodes; some podcast platforms allow retroactive title edits and you can measure impact
Grigora vs. alternatives
Side-by-side.
| Capability | Grigora ✓ | Tool A | Tool B | Free | Manual |
|---|---|---|---|---|---|
| Power-word dictionary size (2026) | 1,200+ words | 850 words | 1,000 words | 600 words | No |
| Emotion category breakdown | 8 categories | 3 categories | 5 categories | 4 categories | No |
| B2B vs B2C scoring modes | Both with separate weights | Single mode | Single mode | B2B-only | No |
| Topic-aware contextual scoring | Yes (2026) | No | No | Limited | No |
| SERP character + pixel counter | Both | Characters only | No | Both | No |
| Free unlimited use | Yes | Free (basic) / paid | Free | Paid ($29+/mo) | Free |
| Bulk title scoring | Yes | Paid | No | Paid | Manual |
| Spam-pattern detection | Yes | No | No | Yes | No |
Common errors and fixes
Eight issues users hit.
Score is unexpectedly low for an obviously emotional title
Cause: Headline used informal slang or 2024+ internet vocabulary not in the older EMV dictionary.
Fix: Switch to the 2026 extended dictionary in settings; it adds 200+ modern terms (viral, deepfake, vibe-check, etc.).
Score is high but headline reads as spammy
Cause: You stacked emotional words to inflate the score, crossing the substance threshold.
Fix: Limit emotion to one strong category; pair with one factual element; aim for 65-75 instead of 90+.
Different scores from CoSchedule and our tool
Cause: Different dictionaries and weighting algorithms produce different scores; relative rankings between headlines should agree.
Fix: Use one tool for relative comparison within your headline variants; absolute scores are not directly comparable across tools.
Topic mismatch warning ignored
Cause: Your headline uses curiosity-words for content that is highly factual; readers may feel mismatched.
Fix: Reduce curiosity emphasis; use trust and intellectual category words instead for highly factual content.
Headline exceeds 60 characters
Cause: Adding power words to boost emotion pushed the title past SERP truncation limits.
Fix: Trim filler words (the, and, of) or shorten the topic phrase; aim for 55 characters maximum for safe SERP display.
Score does not improve when adding power words
Cause: You added power words but also added neutral words, keeping the percentage low.
Fix: Replace neutral words with power words rather than adding alongside; the score is power-words / total-words ratio.
B2B audience scored using B2C weights
Cause: You forgot to switch the audience mode in settings; defaults to B2C weighting.
Fix: Switch to B2B mode for professional content; pride and trust words score higher, urgency and greed score lower.
Translated headline lost emotional weight
Cause: Original English emotional words do not translate emotionally to other languages.
Fix: Use locale-specific power-word lists; or rewrite from scratch in the target language with native power words.
Original data
2026 study.
Frequently asked questions
Twelve answers.
Related free tools
Other utilities.