Real‑world use cases

• SEO research: Validate that a draft naturally includes the terms searchers expect, without over‑optimizing.
• Editorial quality: Spot repetition, jargon, and off‑topic phrases before publishing.
• UX writing: Check for consistent terminology across buttons, menus, and error messages.
• Academic & legal: Surface recurring concepts and definitions to tighten arguments.
• Brand voice audits: Ensure preferred words and phrases appear with the right frequency.

Step‑by‑step: turn counts into action

1. Run the analyzer on your draft and skim the top 20 terms.
2. Switch to bigrams/trigrams to expose recurring phrases and intent.
3. Trim filler words and merge duplicated concepts (e.g., “sign in” vs “log in”).
4. Compare your results to the top ranking pages for your target query.
5. Revise headings, intros, and CTAs to reflect the most helpful language.

Example: product page snippet

Paste this sample to see how the n‑gram explorer highlights themes you’d want on a product page:

Meet the Aurora 3000 blender — a compact, 1200‑watt powerhouse built for smoothies, soups, and frozen desserts.
With three presets, a pulse mode, and dishwasher‑safe parts, it’s our most versatile blender yet. The Tritan jar
resists odors and stains, and the rubber feet keep the base stable at high speeds. Free two‑year warranty.

Make Frequency Data Work Harder

Word counts are a flashlight, not the destination. Use them to guide edits that improve clarity, trust, and task completion.

1. Balance clarity vs. variety: Repeating essential terms helps searchers, but rotate phrasing to stay human.
2. Tune microcopy: Check button and form labels for consistent verbs (e.g., “Create account” vs. “Sign up”).
3. Map to questions: Compare your top terms to common reader questions. If answers aren’t obvious, add examples.
4. Prevent cannibalization: If two pages share identical high‑frequency terms and intent, consolidate or differentiate.
5. Show the receipts: When you assert performance or accuracy, add a short table, formula, or source.

Quality Signals Editors Love

• Descriptive headings that match on‑page content
• Tables for comparisons instead of long paragraphs
• Examples and edge cases near definitions
• Plain‑language summaries before technical detail
• Clear next steps, not just information

Common Pitfalls (and fixes)

Editor’s Mini‑Checklist

• Does the intro promise exactly what the page delivers?
• Are the top terms represented in headings and examples?
• Is there at least one data table or step list?
• Do examples reflect real‑world tasks, not contrived text?
• Is there a clear next step (export, compare, read more)?

All analysis runs in your browser. We never upload your text.

Who Benefits (and how)

• SEO specialists: Validate topical coverage without keyword stuffing.
• Editors: Find repetition and tighten language before layout.
• Support & docs: Normalize terms across guides and UI.
• Product teams: Align naming between marketing pages and in‑app copy.
• Students & researchers: Surface recurring concepts to frame a literature review.

Reading Patterns to Know

In many texts, a small set of words carry most meaning, while a long tail appears infrequently. When your top terms don’t match the topic, readers feel lost. Use the frequency table to confirm the “center of gravity” of your draft matches its promise.

Performance & Privacy

• Works locally in your browser — paste-sensitive drafts stay on your device.
• Handles long inputs; for books or massive logs, analyze chapter by chapter.
• Export CSVs to archive snapshots with your content briefs.

Quick Start for Better Drafts

1. Run the analyzer and skim the top 20 terms for relevance.
2. Switch to bigrams to reveal the phrases readers expect.
3. Update headings and first paragraphs to reflect the core concepts.
4. Add a small example, table, or checklist near your main claim.
5. Re-run and export results as part of your handoff notes.

When Frequency Misleads (and how to correct)

Counts can overweight boilerplate (navigation, legal, UI). Focus analysis on core content by excluding headers/footers or pasting the main body only. Switch to bigrams to capture intent instead of filler.

Build a Repeatable Editing Loop

1. Draft → run frequency & phrase analysis.
2. Create a one-paragraph “reader promise” that reflects the top concepts.
3. Add one table or checklist per ~800 words.
4. Cut duplicate sentences; keep the strongest example.
5. Re-run and export a snapshot for your editorial ticket.

Content Types & Suggested Signals

Accessibility of Language

• Prefer concrete verbs over abstractions.
• Define acronyms at first use.
• Favor short sentences near instructions.
• Avoid metaphors that don’t translate.
• Use consistent button and menu names.

Role‑Based Playbooks

CMS‑Friendly Workflow

1. Draft in your editor; paste body text into the analyzer.
2. Export CSV and attach to the content ticket.
3. Update headings and microcopy based on results.
4. Re‑run checks in staging before publishing.
5. Store exports with the release notes for traceability.

House Style Guidelines (starter)

• Use present tense for procedures.
• Capitalize UI labels exactly as in the product.
• Prefer second‑person (“you”) in instructions.
• Spell out acronyms on first mention.
• Keep headings descriptive, not clever.

Quality Gates Before Publish

• At least one example, table, or checklist present.
• Top phrases reflected in headings or summary.
• CTA is explicit and tied to user outcome.
• Terminology conforms to your glossary.
• Re‑run analysis after edits; attach the CSV.

Measurement Plan

Use analyzer exports to anchor a simple content KPI sheet.

Persona Language Map

Different audiences use different labels for the same idea. Build a mini dictionary so pages speak the reader’s vocabulary.

Content Lifecycle

1. Outline → verify phrases match intent.
2. Draft → check frequency and trim repetition.
3. Pre‑publish → add table/checklist and examples.
4. Post‑publish → monitor questions; iterate headings.
5. Quarterly → re‑compare against fresh results.

Ready‑to‑Use Templates

Copy these into your docs tool and customize:

• “Reader Promise” intro (2 sentences)
• Task checklist (5–7 steps)
• Decision table (criteria × options)
• Glossary block (term, plain definition, example)

Real Examples by Niche

• E‑commerce: Use phrases to ensure specs and sizes match shopper intent.
• Fintech: Check regulatory terms and fee language for precision.
• Health & fitness: Balance medical accuracy with plain‑language guidance.
• Developer docs: Verify API nouns, verbs, and error codes are consistent.
• Education: Align objectives, steps, and assessment terms.

Agency Hand‑off Pattern

1. Brief → include a short “reader promise” and target phrases.
2. Draft → attach analyzer export and glossary notes.
3. QA → run a final pass for term consistency and CTA clarity.
4. Publish → keep the CSV with the ticket or release note.
5. Retro → measure scroll‑depth and CTA clicks vs. prior version.

Export Hygiene

• Name files with date + page slug (e.g., 2025‑11‑compare‑pricing.csv).
• Keep one export per stage (outline, draft, pre‑publish).
• Annotate top 10 phrases with planned placement (H2, intro, table).

Advanced FAQ

Before You Analyze: Prep Your Text

• Paste only the main body to avoid nav/legal noise.
• Remove duplicated blockquotes or code fences.
• Keep section headings—they boost phrase clarity.
• For long reports, analyze per chapter to keep results actionable.

Choosing the Right N‑gram

Evidence Pack Ideas

Pages that include small, concrete artifacts perform better. Consider adding:

• A 4–8 row comparison table
• One short worked example with numbers
• A checklist of steps or pitfalls
• A mini glossary (3–6 terms)

Reader Outcomes First

1. Identify the primary task the page helps a reader complete.
2. Ensure task phrases appear in headings and examples.
3. Use a CTA that names the task (“Download CSV”, “Compare drafts”).
4. Trim sentences that don’t move the task forward.