A Content Effort audit scores what a stranger can see on the live URL, not hours in a ticket. A Search Engine Land report on the 2025 rater update is the secondary recap. The primary source is still Google’s Search Quality Evaluator Guidelines: more than 10,000 raters are told that effort may be direct human work or systems that power a page, but automatically translating thousands of pages without curation would not count as effort. That is why this Content Effort audit is an on-page instrument.
TL;DR
- Classify page purpose first. A clip and a documentary are not supposed to share a raw bar.
- Score six visible signals from 0, 2 (total 0, 12). Map bands to Lowest / Low / High evidence language, not to a fake Google metric.
- Fix zeros with artifacts and first-party work. “Write more” is not a remediation.
- Use a high vs low pair on the same query class to calibrate the team.
- Library keep/refresh/prune is a content quality audit. This audit is per URL.
How do you run a Content Effort audit?
Run five steps, in order. Skipping purpose is how teams punish short, useful pages and forgive long paraphrases.
- Name the page purpose. What job does this URL exist to do, and for whom?
- Use the Main Content. Read it, click it, watch it. Raters are told to spend a few minutes in the MC before scoring.
- Collect visible evidence only. Facts, artifacts, synthesis, craft, curation, added value. Ignore time logs and “we used AI then edited.”
- Score the six signals. 0, 2 each. Write one proof phrase per signal so the score is disputable.
- Verdict, then adds. Band the total, then list the cheapest evidence that would raise the weakest zeros. Do not list adjectives.
An SEO lead should be able to hand the scored table to a writer without a translation layer. If the writer cannot see what to add, the audit was a vibe.
Full definitions live in what is Content Effort. The system map lives in the Content Effort guide.
The six visible signals
These are editorial signals. They are not claimed as Google’s weights. Cyrus Shepard is the named practitioner check: effort is evidence of useful work on the finished page. An SEO lead should train reviewers to fill the proof column before they pick a number. A score without a quote is a vibe. A vibe is how Content Effort audit reviews turn into arguments.
Write one proof phrase per row. If you cannot, the score is a 0 even if the prose feels expensive. That discipline is the whole Content Effort audit. It takes longer on the first URL. It gets fast after five.
| Signal | 0 | 1 | 2 | Proof to capture |
|---|---|---|---|---|
| First-party information | Every fact exists elsewhere | Some first-hand color | Claims only this creator could make | Quote the unique claim |
| Non-replicable artifacts | Stock, scraped, or none | A few unique assets | Data, dated screenshots, methods, tools | File names and dates |
| Model-changing synthesis | SERP paraphrase | Useful organization | Reader’s model of the topic changes | The decision rule that is new |
| Craft vs purpose | Format fails the job | Adequate | Skill matched to page type | Why this format is the right one |
| Curation fingerprints | No choices | Some structure | Omissions, point of view, sequence | What was left out on purpose |
| Added value vs substitutes | Interchangeable | Small unique slice | Does a job the rest of the SERP does not | Named substitute URLs |
Score what is on the page today. Planned interviews do not count. A screenshot from 2019 on a 2026 UI claim is not a 2. If two reviewers disagree by more than two points on a signal, they did not capture the same proof. Re-run that row, not the whole Content Effort audit.
How should teams measure Content Effort?
Sum the six signals. Then apply purpose. Then pick adds. This is the measurement step of a Content Effort audit, not a crawl metric. Say the numbers out loud. If they feel fake, the proof column is empty.
Do not average scores across a site and call it a domain Content Effort audit. Page purpose differs. A homepage and a changelog are not the same bar. Sample URLs, score them, then look for shared skeletons.
Score bands
| Total | Evidence band | How to talk about it internally | Typical next move |
|---|---|---|---|
| 0–3 | Lowest-risk evidence | Recycled MC, little added value | Redesign the evidence, or noindex/merge |
| 4–6 | Low evidence | Some work, still substitutable | Two concrete artifacts before any expansion |
| 7–9 | High evidence | Satisfies purpose with visible work | Fill the remaining zeros; do not pad |
| 10–12 | Highest evidence | Hard to replicate from the SERP | Maintain; use as the calibration example |
Do not publish “Google Content Effort: 8/12” on a client slide as if it were a crawl metric. Publish “visible effort evidence 8/12, weakest signal artifacts, add a dated workflow screenshot.” That sentence is the deliverable of a Content Effort audit. The number without the add is theater.
Page purpose modifiers
The handbook already said the bar differs by type. Apply a modifier in words, not a secret formula:
- UGC and short social: participation and depth can supply effort. Do not demand a white paper.
- Tools and calculators: the system is the effort if it works and is not a wrapper around a public API dump.
- Reviews and “best” lists: first-hand use is the default 2 on first-party information. Affiliate copy is a 0.
- YMYL explainers: effort without accuracy is not a pass. Loop an expert before you celebrate a 10.
- Programmatic pages: unique rows in a database are not automatically unique effort. If the template is the MC, score the template.
What does a high-effort page look like vs a low-effort page?
Same query class: “how to migrate [SaaS A] to [SaaS B] without losing [object].”
Low-effort URL (score 3/12). Restates both vendors’ migration docs, swaps synonyms, no environment was actually migrated, screenshots are marketing sites, no failure cases. First-party 0, artifacts 0, synthesis 1, craft 1, curation 0, added value 1.
High-effort URL (score 10/12). The author migrated a 12,000-row object, logged the three APIs that silently truncated fields, dated the UI, published the rollback, and named the vendor step that is wrong in the official docs. First-party 2, artifacts 2, synthesis 2, craft 1, curation 1, added value 2.
Word counts can match. The residue cannot. That pair is the calibration set for an SEO lead’s writing team. Reuse it until people stop arguing about length.
Effort adds that actually move the score
Match the add to the zero. Random length is how low-effort pages get more expensive without getting better. A Content Effort audit that ends in “make it longer” failed. The writer will add adjectives. The score will not move.
Walk the zeros in order. First-party and artifacts usually unlock added value for free. Synthesis without facts is a pretty outline. Craft without purpose is a format flex. Curation without a point of view is a table of contents. Write the add as a noun: a screenshot, a number, a rule. Not as a mood.
If the writer asks “how many words,” the review failed. Send them back to the zero. Make them name the artifact. Then they can write. This is slower in the meeting. It is faster in the CMS. Teams that skip this step republish the same paraphrase with a new H2. You already paid for that once.
- First-party 0 → run the workflow, publish a number only you have, or quote a primary document you retrieved.
- Artifacts 0 → dated screenshots of your UI path, a downloadable sheet, a working calculator, a methods appendix.
- Synthesis 0 → a decision rule, a sequenced rubric, a “do this / not that” that the SERP does not already repeat. See content engineering for non-commodity pages.
- Craft 0 → fix the format. A video script dumped as a blog post is a craft miss, not a keyword miss.
- Curation 0 → cut sections that exist only because competitors have them. Omissions are evidence.
- Added value 0 → name the substitute URLs in the working notes and state the job they fail. If you cannot name the job, you do not have added value.
For AI-assisted drafts, origin is not the add. Artifacts are. Details: Content Effort and AI-generated content.
Does a Content Effort audit replace a content quality audit?
No. A content quality audit inventories a library and assigns keep, refresh, consolidate, or prune. A Content Effort audit scores visible labor on specified URLs. You can prune a high-effort page that targets a query you should not own. You can refresh a low-effort page that sits on a query you must win.
Run quality first when the question is “what should exist?” Run effort when the question is “does this URL show work?” The product versions are separate cards: content quality audit for the library, Content Effort audit template for the URL set.
Optional site-level flag: if more than a handful of sampled URLs share a skeleton and a sub-4 score, escalate to scaled low-effort production. That is not a page checklist anymore.
Checklists die in docs. The version that compounds is a skill with stable scoring rules, run as a workflow, with an agent fetching the URL and a human disputing the zeros. Metaflow is built for that loop: the Content Effort audit template returns a per-URL table, QRG-aligned evidence language, missing-evidence lists, and prioritized adds, so an SEO lead is not rewriting the standard every sprint.
Discovery (what is missing) and execution (what to add) stay in one place. That is the whole point of encoding rater judgment instead of chatting it. Metaflow is the loop: same Content Effort audit, next URL, dispute trail intact.
Frequently Asked Questions
How do you audit Content Effort?
Name purpose, use the Main Content, collect only visible evidence, score six 0, 2 signals, then prescribe adds that match the zeros. Do not start with word count. Do not accept time logs as proof. An SEO lead should be able to hand the table to a writer without translating it. Metaflow’s Content Effort audit template is that table already filled.
How should teams measure Content Effort?
Use the 0, 12 visible effort evidence total, band it (0, 3 / 4, 6 / 7, 9 / 10, 12), and write a purpose modifier in plain language. Do not brand the number as Google’s score. Metaflow’s template outputs the same table so the instrument stays consistent across URLs.
What does a high-effort page look like?
A page whose unique claims, artifacts, and decision rules cannot be reconstructed from the current SERP. Craft matches purpose. Curation is visible in what was omitted. Added value is a job substitutes do not do. Length is incidental. After one Content Effort audit of a high-scoring URL, keep it as the team’s calibration example. Metaflow stores that example next to the rubric so the bar does not drift.
What does a low-effort page look like?
Recycled or paraphrased Main Content with little originality and little added value: template swaps, vendor-copy listicles, AI summaries of ranking pages. Credit to sources does not save a Lowest rating when almost all MC is recycled. The 2025 rater guidelines say this explicitly.
Does a Content Effort audit replace a content quality audit?
No. Quality audit decides whether a URL should exist in the library. Effort audit decides whether the URL shows work. Run both. In Metaflow they are different templates so the jobs do not get merged into a single vague “content audit” that produces neither verdicts nor artifacts.
Sources
- Google Search Quality Evaluator Guidelines (PDF)
- Search Engine Land : Google quality raters and AI-generated content
- Cyrus Shepard / Zyppy Signal : Content Effort
- Google Search Central : Creating helpful, reliable, people-first content
- Searchable : contentEffort leak analysis
- Hobo : What is Google’s Content Effort signal?
- Google Search Central : Spam policies
- Google Search Central : E-A-T gets an extra E for Experience
