AI-generated content spent years carrying an unofficial warning label in SEO circles. Use it too heavily, the theory went, and Google would eventually push the page out of sight.
That fear shaped how many affiliates approached content. AI could support research or editing behind the scenes, but allowing it near the finished article felt risky.
A large Ahrefs study has made that position much harder to defend. After analysing 600,000 pages appearing across Google’s top 20 results, the researchers found almost no relationship between the estimated amount of AI content on a page and where that page ranked.
The lesson for affiliates is straightforward. Google appears far more interested in the value of the finished page than the tool used to produce its first draft.
What the 600,000-Page Study Found
Ahrefs selected 100,000 random keywords and analysed 600,000 pages appearing within the top 20 search results.
According to its AI content detector:
- 13.5% were classified as entirely human-written
- 4.6% were classified as entirely AI-generated
- 81.9% contained a mixture of human and AI-generated text
That means 86.5% of the pages analysed showed at least some estimated AI involvement. Most were hybrid pages shaped by a combination of human work and AI assistance.
The results also need to be read with one important limitation in mind. AI detectors work with probabilities rather than certainty, so individual classifications can be wrong. The study reflects patterns across a large dataset rather than definitive proof of how every page was produced.
Still, the broader finding is difficult to ignore.
Ahrefs calculated a correlation of 0.011 between the estimated percentage of AI-generated text and ranking position. That is effectively zero. Pages did not consistently move higher or lower in the results simply because they contained more AI-assisted writing.
As the study authors explain, there was no clear relationship between how much AI-generated content appeared on a page and how highly that page ranked.
This does not mean that every AI-generated page can perform well. It means AI involvement alone does not explain search performance.
What Google Actually Says About AI Content
Google’s public position follows the same principle.
In early 2023, the company clarified that its ranking systems focus on content quality rather than whether a page was written entirely by a person or created with help from automation.
In Google’s own words, its systems are designed to reward original, helpful content regardless of how it is produced. Using automation primarily to manipulate search rankings remains against its spam policies.
Google’s current guidance on generative AI keeps that distinction clear. AI can support research and help publishers structure original work. Problems begin when it is used to generate large volumes of pages without adding meaningful value for the audience.
For affiliates, the dividing line is quality.
AI can help produce a first draft, organise information or simplify repetitive work. Human oversight still has to verify the claims, improve the writing and make sure the page genuinely answers the question behind the search.
How Affiliates Can Use AI Without Losing Trust
1. Research Faster, Then Verify
AI can help organise search results, identify recurring questions and highlight topics that deserve further investigation.
For iGaming affiliates, that might include questions around game mechanics, provider reputation, campaign conditions, onboarding, payment options or responsible gaming information.
The tool can surface the questions. It should not become the source of truth.
Details should still be checked against reliable first-party material, current campaign information and relevant regulatory sources before publication.
2. Let AI Build the Structure
Outlines, FAQs, comparison categories and first-pass summaries are useful starting points for AI assistance.
They remove some of the work involved in facing an empty page. The editor can then focus on the elements that make the article worth reading:
- Original analysis
- Clear comparisons
- First-hand observations
- Relevant examples
- Verified information
- A consistent editorial voice
AI can provide the scaffolding. The reason to trust the page still has to come from the publisher.
3. Match the Page to Search Intent
AI tools can group related queries and suggest possible headings. The final structure should remain shaped around what the reader actually needs.
That means clear introductions, useful sections and direct explanations. It also means knowing when the answer is complete.
A longer page is not automatically a stronger page. Extra paragraphs only help when they add context, clarity or evidence.
4. Keep Editors in Control
AI can support rewriting, consistency checks and content variations, but final responsibility should remain with a human editor.
Before publication, every page should be reviewed for:
- Accuracy
- Unsupported claims
- Repeated ideas
- Generic or unnatural wording
- Source quality
- Brand voice
- Compliance requirements
- Current campaign information
A polished sentence can still be wrong. That is why editorial review matters even when the draft sounds confident.
5. Add Something the Model Cannot
Anyone can generate a competent summary of a familiar topic. Original value becomes more important as those summaries become easier to produce.
That value could come from proprietary data, expert input, original screenshots, first-hand campaign experience or an explanation designed around a specific affiliate audience.
The best use of AI is often to reduce repetitive work so more attention can go into those harder-to-copy elements.
AI Is a Tool, Not a Ranking Strategy
The Ahrefs study offers useful reassurance. AI involvement by itself did not show a meaningful relationship with ranking position across the dataset.
Google’s guidance supports the same broader conclusion. Its systems aim to reward helpful, reliable and people-first content, while scaled material created primarily to manipulate rankings can still create problems.
For affiliates, the strongest approach sits between resistance and overreliance.
Use AI to research faster, organise ideas and reduce repetitive work. Then apply experience, fact-checking and editorial judgment before anything goes live.
The advantage is not producing more pages simply because the technology makes it possible. It is creating stronger pages through a smarter process.
The old question was whether affiliates should use AI at all. The more useful question now is how to use it without losing accuracy, originality or the trust of the audience.
That balance fits the wider approach behind Mate Affiliates: use new tools where they add value, while keeping real people, clear communication and genuine partnerships at the centre.
