Give it one target query and your draft. Every section comes back Aligned, Mixed or Off-topic — with the wording behind each verdict and the section worth fixing first. The summary score is a diagnostic, not a ranking promise, and no language model reads your writing.
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Semantic Checker report
example analysis
Summary
Mostly aligned, with one section pulling the article away from search intent.
Semantic Checker Map
4 sections
Introduction
Aligned
Feature overview
Mixed
Industry history
Off-topic
How to choose
Aligned
Illustrative report
This is an illustrative example, not a customer result. It shows the complete path from a flagged section to an editing decision.
One section, three decisions
Target query: how to clean a camera lens
Illustrative example
01 · Your draft
“The first commercial darkroom processes appeared in the 1880s, and for most of the next century…”
02 · Detected
Off-topic section
The section spends 240 words on history without answering the cleaning task in the query.
03 · Editing direction
Cut or move the history
Keep two sentences for context, or move the section below the practical steps that answer the query directly.
The value is not another score to chase. It is a clearer decision about what to change before publishing.
Why it is small
Content optimizers keep growing — writers, audits, rank tracking, AI visibility. If you need all of it, buy all of it. This is for the check you actually run before publishing.
Draft analysis runs on our server. DataForSEO receives the target query, never the unpublished article.
Each paid run records its live result set, readable competitor pages, and recurring topic baseline.
If live evidence is incomplete, the local diagnostics are still saved and the analysis credit is refunded.
A content suite
Priced as one subscription, whether or not you open eight of them.
This tool
One job. Buy ten of them for $9 and stop.
Workflow
The whole check fits between finishing a draft and publishing it. Each step hands you evidence and leaves the editorial call where it belongs.
One query, one draft. Paste the text or hand over a published URL — there is no project to set up, no keyword list to import, and a URL that refuses to import costs you nothing.
You decide
Which single query this page is really trying to answer.
The draft comes back as a map of its own sections, each marked Aligned, Mixed or Off-topic — alongside the wording that earned the mark and the subject the section leans on instead.
You decide
Which flags are real, and which ones you meant to write.
The weakest sections are ranked and each arrives with a direction to take — reframe it, move it, tighten it, cut it — instead of a list of terms to sprinkle back into your sentences.
You decide
What actually changes before this goes out, and what stays.
Read the full method and its limits — how sections are split, how verdicts are decided, and what the report cannot tell you yet.
What drifting looks like
A report marks the section and shows the text behind the verdict. Naming the pattern is the part you do — these are the six worth knowing.
The section is about a neighbouring subject, not yours.
A page targeting AI headshot generators spends three paragraphs on general photo editing.
Right subject, wrong job.
The reader came to use a tool; the section explains what the category is instead.
The lens is too wide or too narrow.
A piece about LinkedIn headshots turns into a general portrait photography guide.
Something the subject needs never appears.
A headshot page never mentions business profiles or corporate portraits at all.
A side feature crowds out the main one.
Filters and background removal get more room than the generation flow itself.
The heading promises one thing, the text delivers another.
An H2 reads “How it works” and the paragraphs underneath only discuss pricing tiers.
What the report shows
Every signal remains explainable. The report gives a diagnostic score, then shows the evidence and limits behind it.
Scan Aligned, Mixed, and Off-topic sections at a glance.
Compare the likely query job with the emphasis of your draft.
Start with the weakest section and a concrete editing direction.
SERP comparison is clearly separated from the draft diagnosis.
A score with its evidence
Give a writer one score and a suggestion list, and the work becomes clearing the list. Terms get wedged into sentences that did not want them, the bar turns green, and the draft reads worse than when it started.
The report gives you a summary score, then shows what produced it. Each section gets a verdict and the text behind it. You read the evidence and make the editorial call — which is the part a tool should not be taking from you.
A priority fix, in full
Industry history drifts away from the target query
Pricing
A renewal can get more expensive even when the screen you use has not changed. Here, $9 buys 10 analyses that never expire. Subscriptions exist if the volume suits you.
Free
Up to 2 reports
For eligible new users to validate the workflow with real content.
Credit pack
No subscription$9 once
10 analyses, yours until you use them.
Creator
Most popular$19 / month
40 analyses every month.
FAQ
Including the ones where the answer is no.
The three kinds of text analysis, and what each one costs you →
Surfer is a suite. Its plans bundle an AI writer, a writing assistant, plagiarism checking, site audits, internal linking, cannibalization reports and — as of 2026 — AI search visibility tracking, from $49 to $299 a month. If you use most of that, it is good value and you should keep it.
This tool does one thing: it reads your draft section by section and tells you which parts have wandered away from your target query. There is no writer, no audit, no rank tracking. That is the product, not a roadmap gap.
The full comparison, with both monthly floors side by side →
Because a single number invites you to game it. The common failure mode with scored optimizers is writers adding suggested terms until the bar turns green, ending up with stiff, repetitive copy that reads worse than the draft they started with.
A report here gives you a summary score, component signals, and per-section verdicts — Aligned, Mixed or Off-topic — each with the text that produced it. Use the score to organize the edit, then read the evidence instead of chasing a target.
No, and that is the main difference in how this is sold. Content optimizers generally have a monthly floor: NeuronWriter starts around $23, Frase and Surfer around $49, Clearscope at $129 for 20 reports. You pay it whether or not you publish anything that month.
Here, $9 buys 10 analyses and they never expire. Subscriptions exist if you want them — Creator at $19 a month for 40 analyses — but nothing about the tool requires one.
No. The draft is analyzed on our server with deterministic text analysis. If enabled, Google Cloud Natural Language reads it only to return entity evidence; DataForSEO receives the target query to collect a live US-English Google result set.
This is worth comparing directly: any tool built around an AI writer or AI assistant necessarily processes your draft on its servers and through a model to deliver those features. If you are working on client content or something unannounced, that difference matters.
The draft analysis is deterministic lexical analysis computed on our server. Your draft is split at its headings, stop words are dropped, and the concepts in your target query are pulled out. Each section is measured against that vocabulary, while a separate live SERP pass collects current organic results and builds a recurring-topic baseline from readable competitor pages.
Each section's own most frequent terms are also ranked, which lets the report name the subject a drifting section leans on instead of guessing at one. The draft-side calculation is reproducible; the live SERP portion is timestamped because search results and competitor pages can change between runs.
That also fixes the limits. This is a topical text analyzer, not a readability grader, a word counter or a general NLP toolkit, and every judgement it makes is relative to the one query you gave it.
The three kinds of text analysis, and what each one costs you →
No. It tells you which section is the problem, what it appears to be about instead, and what direction the edit should take. The writing stays yours.
This is a deliberate scope decision rather than a missing feature. Diagnosis and generation are different jobs, and there is no shortage of tools that will write for you.
No, and be wary of any content tool that implies otherwise. Nobody outside Google can see how a page is ranked, and no third-party score is a ranking signal.
What the report gives you is a reproducible reading of whether your draft stays on the topic you targeted. That is a useful editorial check. It is not a ranking prediction and we will not dress it up as one.
Short sections and headings that only make sense in context receive a Mixed verdict with a limited-evidence note and a review direction.
A SERP score is only produced after DataForSEO returns a usable result set and at least five competitor pages yield readable text. If that threshold is not met, you still receive the local diagnostics and the analysis credit is refunded automatically.
A target query and a draft. That is the whole input.
You do not need a keyword research subscription first. Most people arrive with a query they already picked from Search Console, Ahrefs, Semrush or a client brief, and that is exactly what this expects.
The credit comes back automatically. Refunds are idempotent and read the amount from the original ledger entry, so a retry or a replayed webhook cannot double-refund or leave you short.
Failed URL imports never cost anything in the first place — importing is free, and only a completed analysis is billable.
English drafts only, and one target query at a time. Analysis assumes a US English context.
Other languages are not on a near-term roadmap. Getting section-level judgements right in one language is the current job.
