Google's AI content guidance explains how website owners should check material created with AI before publishing it. AI can help with research and writing, but the finished page needs accurate information and something useful for its reader. Using AI does not remove the publisher's responsibility to review the work. Official guidance
Google updated its generative AI content guidance on 1 October 2026, adding information from its Search Quality Raters guidelines. The update log describes a documentation change; it does not announce a new ranking algorithm or a blanket ban on AI writing. Google's update log
Who should pay attention?
This guide is for anyone publishing website content with AI assistance: business owners, bloggers, editors and people writing product comparisons. You do not need an SEO background to use the editing process below. SEO means improving how search engines can discover and understand a website.
An affiliate article is one that includes links which may earn the publisher a commission. A product review can still help readers, but its recommendation needs substance beyond promotional copy.
What changed, and what should you check?
| Area | What the official guidance means for your review |
|---|---|
| Facts | Manually check consequential claims before publishing |
| Original contribution | Explain what the page adds for its intended reader |
| Titles, descriptions and image alt text | Review these alongside the article itself |
| Publishing many pages | Avoid scaling material that adds little value |
The October entry is a documentation update. It is not an application program, paid service or new certification you must obtain. Update description
What the guidance says
Google recognizes AI as useful for research and structuring original material. It warns against producing pages at scale without adding value and explicitly calls for manual fact-checking and review before publication. That review includes metadata such as titles, descriptions and image alt text. The guidance also distinguishes quality-rater assessments from direct ranking decisions. Official AI content guidance
For publishers, this suggests an editorial question more useful than “Does this sound human?”: Can we support what this page says, and does it help its intended reader?
The process below is our suggested workflow. It is not a Google certification checklist or a guarantee of search performance.
What will this process help you do?
It helps you find unsupported claims, unclear recommendations and missing details before a reader encounters them. For example, a tool comparison should explain the limits that affect the buyer's workload, not merely list attractive features.
The cost is mainly editorial time: checking sources, documenting examples and revisiting changing facts. Paid tools may assist that work, but this workflow does not require a particular subscription.
Begin with a decision, not a word count
Before drafting, finish this sentence: “After reading this page, someone should be able to…”
For a video-tool comparison, the answer might be “choose a workable option for producing twelve short clips a month.” That purpose tells you which details matter: generation allowances, editing requirements, failed attempts, export restrictions and monthly cost.
It also gives you permission to remove material that does not help. A long history of artificial intelligence probably will not improve that purchasing decision.
Google's people-first guidance asks publishers to consider their audience, original contribution, sourcing and the purpose of their content. It also cautions against changing dates merely to make material appear fresh. Helpful content guidance
Keep a small claim sheet
While researching, record consequential claims before they disappear into polished prose.
| Claim | Evidence to check | Editorial action |
|---|---|---|
| A tool has a free plan | Official plan and eligibility details | Distinguish a permanent plan from a trial |
| A plan supports a workload | Allowance, consumption rules and assumptions | Show the calculation or explain uncertainty |
| A tool produces better results | Comparable outputs and evaluation criteria | Describe the evidence rather than invent a score |
| Users report a problem | Attributed reports with relevant context | Label it as reported experience |
For changing information, include a verification date. An undated source may be useful background, but it should not silently become today's price or limit.
Add the information a summary misses
Here is an invented example of weak product copy:
ClipMaker helps businesses create professional videos quickly with powerful AI features and flexible plans.
It sounds positive, but the reader cannot judge cost, effort or suitability.
A more useful hypothetical version would be:
The example plan includes 20 generation attempts a month. Budgeting for three attempts per usable clip would leave room for about six clips. That estimate excludes any separate editing or export allowance, which you should check before buying.
The numbers are illustrative, not the details of a real product. The improvement comes from explaining an assumption and its consequence. We have not merely substituted friendlier adjectives.
Be precise about what you experienced
If you tested a tool, record the task, account type, date, inputs and outputs. Describe the conditions under which you reached your conclusion.
If you reviewed documentation, say that. If an expert supplied an observation, attribute it. If several community users reported an issue, do not convert their reports into a claim that every customer encounters it.
This approach lets evidence strengthen the article without manufacturing an experienced author's persona.
Affiliate content needs an independent contribution
Google's spam policies describe thin affiliation as affiliate content that reproduces merchant descriptions or reviews without original value. The policy also recognizes that affiliate pages can add value through comparisons, additional pricing information and original reviews. Thin-affiliation policy
Our recommendation is to write the decision first and place the commercial link where it helps the reader act. Include meaningful drawbacks and suitable free alternatives. A recommendation should remain understandable even if its affiliate link is removed.
Give the draft one final reader check
Before publishing, review the page against its original purpose:
- Does the opening answer the main question?
- Are consequential claims sourced and current?
- Are tests, vendor claims and reported experiences distinguishable?
- Is there an example, calculation or explanation that adds useful substance?
- Do the title and description accurately represent the article?
- Can the reader take the next step without guessing?
Then edit the language. Remove repeated conclusions, vague praise and introductions that postpone the answer. Keep sentences direct, but allow the explanation enough space to be useful.
What this checklist cannot promise
Completing a review does not guarantee rankings, traffic or inclusion in an AI answer. It also does not make a hypothetical example into evidence that a real product performs as described.
Use the checklist to improve the page for its reader. If a claim is still unresolved, verify it, qualify it or remove it rather than let confident wording conceal the gap.
AI can assist that work. Responsibility for the published page still sits with its publisher. A reader should leave with a clearer answer, not simply a longer version of the question they arrived with.