For years, SEO had a fairly simple goal.
You wanted Google to understand your website, rank your pages, and send people to you.
That still matters. But the way people discover products is changing.
Instead of searching "best email tool for startups" and opening five different websites, someone can now ask ChatGPT, Google AI Mode, Gemini, or Perplexity:
"What are the best email tools for a small startup?"
The AI reads information from different sources, compares what it finds, and gives the user a summarized answer.
That changes what "being visible" means.
Ranking your own website is still important. But increasingly, you also want your brand to appear in the sources AI systems use when they build an answer.
This is where third-party review articles become interesting.
SEO is no longer only about your own website
Traditional SEO naturally makes us focus on owned content.
Your homepage.
Your landing pages.
Your blog.
Your documentation.
All of that is still the foundation.
Google itself says the same SEO fundamentals continue to apply to AI Overviews and AI Mode. There is no special AEO tag that suddenly makes a website appear in AI answers. Helpful, reliable, crawlable content is still essential. (Google Search Central, 2025)
Google's newer official guide to generative AI search makes the same point. Its AI features are built on Google's existing Search ranking and quality systems, and use retrieval-augmented generation to retrieve relevant, up-to-date pages from the Search index. (Google Search Central, 2026)
But AI search introduces another layer.
Google explains that its AI features may use "query fan-out." Instead of performing only one search, the system can issue multiple searches around different parts of the user's question, retrieve supporting pages, then use those sources to construct a response. (Google Search Central, 2025)
Google specifically says AI Mode and AI Overviews can issue multiple related searches across subtopics and data sources, while identifying additional supporting web pages. This can result in a wider and more diverse set of sources than a classic web search. (Google Search Central, 2025)
ChatGPT Search also retrieves information from the public web. OpenAI explains that any public website can appear in ChatGPT Search, and that URLs may also be discovered through third-party search providers. (OpenAI, 2026)
So when someone asks an AI:
"Is Product X worth using?"
The AI does not necessarily look at Product X's homepage, accept everything written there, and repeat it.
It may look for reviews.
It may look for comparisons.
It may look for discussions.
It may look for articles mentioning the product alongside competitors.
It may look for independent explanations of what the product actually does.
That outside information is becoming part of your brand's search presence.
Why a third-party review is different from your homepage
Imagine you run a SaaS product.
Your homepage says:
"Our product is simple, powerful, and perfect for indie founders."
That statement is useful. But you wrote it yourself.
Now imagine another website publishes a detailed review:
"We tested the product for a week. The setup was simple, the interface was easy to understand, and it worked particularly well for small teams launching their first product. However, larger teams may want more advanced reporting."
That page gives search engines and AI systems something different.
It provides an external description of your product.
It connects your brand with specific use cases.
It explains who the product is good for.
It may mention strengths and limitations.
It may compare your product with alternatives.
Most importantly, it exists outside your own domain.
Google's own guidance for high-quality reviews recommends exactly this kind of content. It encourages reviewers to evaluate something from a user's perspective, demonstrate expertise, provide evidence, include quantitative measurements, and explain how a product differs from competitors. Google also explicitly lists independent bloggers and editorial publications as examples of people who may create review content. (Google Search Central, 2025)
A good review creates information that simply does not exist on the company's homepage.
AI needs outside evidence
This may be one of the biggest changes from traditional SEO to AEO.
When an AI system generates an answer, there are really two questions:
Can it find information about your brand?
And once it finds that information, does it consider the information useful enough to include in its answer?
Your reference material describes this as the difference between retrieval visibility and generation visibility. Being found does not automatically mean being used. (Provided AEO video transcript, n.d.)
Third-party articles can help with both.
They create another searchable document associated with your brand, while also giving the AI more context about what your product is, who uses it, and where it fits in the market.
This matters because AI visibility appears to be strongly connected with what the rest of the web says about a brand.
Ahrefs analyzed 75,000 brands and found that branded web mentions had a 0.664 correlation with visibility in Google AI Overviews. That was substantially higher than the correlation for backlinks, which was 0.218. The three strongest factors in the study were all related to off-site brand signals. Ahrefs also explicitly notes that correlation does not prove causation. (Linehan & Guan, 2025a)
Their later research found similar patterns across ChatGPT, AI Mode, and AI Overviews, with branded web mentions showing correlations of roughly 0.66 to 0.71 with AI visibility. (Linehan & Guan, 2025b)
Correlation does not prove that publishing a review will automatically cause an AI recommendation.
But the direction is important.
Being discussed across the web matters.
The backlink is useful, but the article itself may be even more important
This is where Review Articles become particularly interesting for SEO.
A quality third-party article can give you a relevant backlink, which may help traditional SEO.
But AEO adds another possible benefit.
The words around that backlink matter too.
If an article naturally explains:
What your brand does.
What problem it solves.
Who should use it.
How it compares with alternatives.
What the reviewer liked.
Where the limitations are.
Then the page is creating structured external context around your brand.
Ahrefs has even reported that, for its own brand, in most cases, up to 89% of its appearances in AI answers happened because other websites mentioned Ahrefs, rather than because the AI relied on Ahrefs' own website. (Makosiewicz, 2026)
This is why thinking only about backlinks may be too narrow.
In traditional SEO, you might ask:
"Did this article link to me?"
In AEO, another useful question is:
"What did this article teach the internet about me?"
Review articles also match the type of content AI likes to use
A peer-reviewed KDD 2024 paper introduced the concept of Generative Engine Optimization and studied ways of improving content visibility inside generative search engines.
The researchers found that GEO techniques could increase content visibility by up to 40% in their experimental setting. The paper also studied approaches involving citations, statistics, quotations, and other content changes. (Aggarwal et al., 2024)
That does not mean adding three statistics guarantees 40% more AI visibility.
The useful lesson is simpler.
Specific, evidence-based content gives an AI system more material to work with than vague marketing language.
A thoughtful review naturally creates this kind of material.
Instead of:
"Product X is amazing."
You get:
"Product X is easier to set up than these alternatives, works best for this type of user, costs this much as of this date, and has these advantages and limitations."
That is much easier to retrieve, compare, summarize, and cite.
This matters because fewer searches end with a traditional click
There is another reason brands are paying attention to AEO.
AI-generated answers can reduce the need to click traditional search results.
Ahrefs studied 300,000 keywords and found that when an AI Overview appeared, the average click-through rate of the number one ranking page was 58% lower in its December 2025 dataset. (Law & Guan, 2026)
SEO is not disappearing.
But ranking first is no longer the only place where discovery happens.
Sometimes the user sees your website.
Sometimes the user sees an AI summary.
Sometimes your brand is mentioned inside that summary because another website talked about you.
That last scenario is exactly why off-site content deserves more attention.
A useful Review Article should be written for people first
There is an important warning here.
Publishing hundreds of generic sponsored articles is probably not the answer.
A strong third-party Review Article should actually help someone decide whether a product is right for them.
It should explain the product clearly.
It should give context.
It should mention real advantages and limitations.
It should answer questions a potential customer would genuinely have.
It should be written in natural language.
And ideally, it should contain information beyond what is already available on the company's homepage.
Google repeatedly emphasizes people-first content, useful information, unique experience, and content that gives readers something beyond commodity information. Its 2026 generative AI search guide specifically recommends creating valuable, unique, non-commodity content and organizing it clearly for human readers. (Google Search Central, 2026)
That is good advice for humans, SEO, and AEO at the same time.
The simple way to think about SEO and AEO
Your website tells the internet who you are.
A third-party Review Article tells the internet what someone else thinks you are.
Modern search engines and AI answer engines can look at both.
That is why Review Articles are becoming more valuable than they were a few years ago.
They can support traditional SEO through additional search visibility and relevant external coverage.
They can create independent brand mentions across the web.
They can explain your product in language different from your own marketing copy.
They can associate your brand with categories, problems, competitors, and real use cases.
And they can give AI systems another credible source to discover when someone asks for a recommendation.
You cannot control exactly what ChatGPT, Google AI Mode, or another AI will recommend.
But you can make sure the web contains more accurate, useful, independent information about your brand.
That is increasingly becoming part of SEO.
And it is becoming an important part of AEO too.
For teams that want to start building this kind of third-party presence, the Review Article option is available on KittyLaunch pricing.
Resources
Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2024). GEO: Generative engine optimization. In KDD 2024: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5-16). Association for Computing Machinery. https://doi.org/10.1145/3637528.3671900
Google Search Central. (2025a, December 10). AI features and your website. Google for Developers. https://developers.google.com/search/docs/appearance/ai-features
Google Search Central. (2025b, December 10). Write high quality reviews. Google for Developers. https://developers.google.com/search/docs/specialty/ecommerce/write-high-quality-reviews?hl=en
Google Search Central. (2026, July 10). Optimizing your website for generative AI features on Google Search. Google for Developers. https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
Law, R., & Guan, X. (2026, February 4). Update: AI Overviews reduce clicks by 58%. Ahrefs. https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/
Linehan, L., & Guan, X. (2025a, May 26). An analysis of AI Overview brand visibility factors: 75K brands studied. Ahrefs. https://ahrefs.com/blog/ai-overview-brand-correlation/
Linehan, L., & Guan, X. (2025b, December 12). Top brand visibility factors in ChatGPT, AI Mode, and AI Overviews: 75K brands studied. Ahrefs. https://ahrefs.com/blog/ai-brand-visibility-correlations/
Makosiewicz, M. (2026, July 24). AI search strategy: 4 pillars to show up more, and right, in AI answers. Ahrefs. https://ahrefs.com/blog/?p=201333
OpenAI. (2026). Publishers and developers FAQ. OpenAI Help Center. https://help.openai.com/en/articles/12627856-publishers-and-developers-faq