Google on people-first and AI-generated content: what is allowed and what gets demoted

What Google actually says

Google's view of quality is set out in its Search Central documentation, above all "Creating helpful, reliable, people-first content", which Google continues to update (most recently in October 2026). Its position on AI builds on that page through three further documents: a February 2023 blog post, "Google Search's guidance about AI-generated content"; the March 2024 core update and new spam policies; and a dedicated page on using generative AI content on your website.

People-first content: Google's self-assessment

The helpful content page asks creators to judge their own work honestly. Its questions cover whether content offers original information, research or analysis; whether it is substantial and complete; whether it goes beyond rewriting other sources; and whether a reader would bookmark or share it. It also lists warning signs of "search engine-first" content, including:

• content made mainly to attract search visits rather than serve an audience;
• covering lots of topics in the hope that some will rank;
• extensive use of automation to produce content on many topics;
• summarising what others say without adding value;
• writing to a particular word count (Google says it has no preferred length);
• changing page dates to look fresh without substantially changing the content.

The page also explains E-E-A-T: experience, expertise, authoritativeness and trustworthiness. E-E-A-T is not itself a ranking factor, but Google's systems use signals that align with it, with extra weight on topics affecting health, finances, safety or society.

"Of these aspects, trust is most important." — Google Search Central

Who, How and Why: where AI fits

The same page asks creators to consider three questions about their content:

• Who created it? Make authorship clear with bylines linking to author information where readers would expect them. Google calls fabricated creators, such as AI-generated headshots or false credentials, deceptive.
• How was it created? Where readers might reasonably wonder, explain how content was produced, including any use of automation or AI.
• Why was it created? Google calls this the most important question. Content should exist primarily to help people. Using AI or automation mainly to manipulate search rankings violates its spam policies.

The February 2023 post set the tone. As 9to5Google reported at the time, Google said it would reward high-quality content however it is produced, judged by E-E-A-T, while automation used primarily to manipulate rankings would breach its spam policies. It did not require AI disclosures, but said they should be considered where readers would expect them.

What gets demoted: scaled content abuse and other spam

On 5 March 2024, Google announced a core update and new spam policies in a post by Elizabeth Tucker on The Keyword, alongside a Search Central post for site owners. Google expected the changes to cut low-quality, unoriginal content in results by 40%; an update in April 2024 reported a 45% reduction once the rollout finished.

Three policies were introduced:

1. Scaled content abuse: producing many pages mainly to manipulate rankings rather than help users, regardless of whether automation, humans or a combination creates them. Google's examples include using generative AI to produce many pages that add no value, scraping or auto-translating content at scale, stitching together content from other pages, and creating multiple sites to hide the scale.
2. Site reputation abuse: publishing third-party content on a host site mainly to exploit that site's ranking signals. Ordinary syndication, user comments and editorial columns are not, by themselves, violations. Enforcement began on 5 May 2024.
3. Expired domain abuse: buying an expired domain and repurposing it to rank low-value content.

Google says sites that violate its spam policies "may rank lower in results or not appear in results at all", detected by automated systems and, where needed, human review that can lead to a manual action.

Google's practical rules for generative AI content

The dedicated generative AI page adds operational guidance. Google acknowledges AI can be useful for researching a topic and adding structure to original content, but advises:

• fact-check and review all AI-generated content before publishing, because models can produce plausible but false statements;
• apply the same review to titles, meta descriptions, structured data and image alt text, since these can appear in search results;
• for ecommerce, follow Merchant Center policies: AI-generated images must carry IPTC TrainedAlgorithmicMedia metadata, and AI-generated product titles and descriptions must be labelled as such;
• consider giving users context on how content was created.

A checklist for marketing teams

1. Start every brief with "why". Who is the reader and what will they be able to do afterwards? If the honest answer is "rank for a keyword", rethink the piece.
2. Add something only you can. First-hand experience, your own data, product testing, customer examples or expert commentary. This is what separates people-first content from summaries.
3. Use AI for structure and drafting, not volume. Avoid template pages generated in bulk for every city, product variant or keyword without unique value.
4. Fact-check everything, including metadata. Assign a named reviewer for each page.
5. Show real authors. Use genuine bylines and author pages; never invent personas or credentials.
6. Explain AI use where readers would wonder. A short note on method builds trust, particularly for reviews and data-led content.
7. Audit existing content. Prune or consolidate thin, overlapping pages, especially any produced at scale.
8. Check third-party and partner content on your domain against the site reputation abuse policy.

Limits and common misunderstandings

Google's documentation describes principles, not a precise formula, and self-assessment questions do not guarantee rankings. The most common misunderstanding is that "AI content gets penalised". Google's guidance targets purpose and value, not the tool. The opposite mistake is assuming that because AI is allowed, volume is safe: the scaled content abuse policy applies equally to human-written content farms. Note also that search quality raters evaluate results but do not directly control rankings.

FAQ

Sources

• Creating helpful, reliable, people-first content — Google Search Central, updated 2026
• Google Search's guidance about AI-generated content — Google Search Central Blog, 2023
• Google Search's guidance on AI-generated content (coverage) — 9to5Google, 2023
• New ways we're tackling spammy, low-quality content on Search — Elizabeth Tucker, Google (The Keyword), 2024
• What web creators should know about our March 2024 core update and new spam policies — Google Search Central Blog, 2024
• Spam policies for Google web search — Google Search Central, updated 2026
• Google Search's guidance on using generative AI content on your website — Google Search Central, updated 2026