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Almost overnight, marketers have gone from using AI to make content to creating content for AI itself. New acronyms like AEO (answer engine optimization) have popped up, and it seems like every recent blog has at least one “What is…” headline. (Guilty.)
Play your cards right, and your content might show up the next time a customer skims an AI Overview or asks ChatGPT for advice. Victory, right? But almost no one is talking about what happens after AI gives someone an answer.
While AI visibility is a great start, it’s just that: a start. If you want customers to buy from your brand, you need to convince them you’re the right choice. They’re not going to take ChatGPT’s word for that. That’s why every AI strategy also needs validation content to build trust and help audiences make decisions.
AI is the discovery engine. You need to be the validation engine. Do that, and you’ll outperform other brands and become the go-to source for decision-making.
Why AI Changed the Buyer’s Journey
Five years ago, a classic buyer’s journey looked something like this:
- A customer heads to Google to learn about a topic related to your brand.
- They spot your blog post in the search results and click it.
- Your blog mentions a product they need, or maybe they decide to click on your product catalog on their own.
- The customer purchases a product.
These days, Google isn’t necessarily the default. A 2026 Clutch survey found that 68% of consumers have used AI for initial research, but 83% still read full articles before buying.
This shift has created a new, less direct buyer journey:
- A customer asks ChatGPT or another AI tool about a topic.
- The AI draws on brand content to generate a response or recommends brands directly.
- The customer heads to the brand website to gather more information.
- The brand’s content validates their decision.
- They purchase a product.
In other words, AI search may introduce a customer to your brand, but you still need to win their trust. After all, no one is going to metaphorically hand ChatGPT their credit card (we hope).
What Is Validation Content?
Validation content is content that reassures buyers they’re making the right decision. It uses trust signals to reinforce what they may have already learned from AI and build their confidence.
This type of content often uses social proof to increase confidence. Sure, AI might say a product has certain features or benefits. However, case studies and testimonials from actual customers are often much more persuasive.
For example, Jotform published a case study showing how an animal shelter uses its software to manage data. It includes a quote from the shelter’s digital marketing manager about how the tool helps staff. If a customer is looking for a platform to manage their own data, this content reinforces that Jotform is a solid choice.
Validation content also frequently includes original research or in-depth product guides. This information goes beyond basic AI-generated responses to help customers assess their options. For instance, ChatGPT may note an exercise bike has a magnetic resistance mechanism, but an FAQ page can explain exactly how it works.
As you develop your AI content strategy, focus on middle- and bottom-of-funnel content that validates customer decisions. Here are a few options:
- Case studies
- Comparison pages
- Customer stories
- FAQs
- Implementation guides
- Original research
- Product deep dives
- Reviews and testimonials from customers
Why Validation Content Matters More Than Ever
As more customers rely on AI search, this technology has become a gatekeeper of sorts. Validation content can help your brand stand out by building trust with two audiences: AI and customers.
Validation for AI
Like traditional search algorithms, AI tools tend to favor content that demonstrates authority. If your brand seems reliable, it’s more likely to appear in AI-generated responses.
Validation content provides trust signals that can help AI understand your expertise. For example, you could include original research, such as survey results or benchmark reports. Citations and detailed explanations also increase credibility.
Validation for Buyers
People may turn to AI first, but they don’t blindly follow it. Only 5% of Americans say they “trust AI a lot,” while 41% distrust it, according to a YouGov poll.
Use validation content to verify and expand on what customers just read with AI. That way, they’ll feel more confident moving forward with purchases and other big decisions.
Suppose a pet owner asks Gemini to recommend a boutique kibble for their senior dog. The AI lists a handful of brands and generates a comparison chart with ingredients and pricing. An unfamiliar brand piques the customer’s interest.
They don’t have enough information to buy yet, so they head to the company’s website. The homepage links to a few stories where customers describe how their elderly dogs became more energetic after eating the kibble. The visitor also skims the FAQ page to learn more about the ingredients. Everything looks credible, so they order a bag.
As this scenario shows, validation content works when it goes deeper than AI responses. Tools like Gemini might excerpt or summarize your content, but they can’t provide the in-depth information people need to make meaningful decisions.
How To Audit Your Existing Content
Your brand may already create awareness-focused content for AI search. That educational content still matters, but shifting your focus to validation content will help you turn visibility into action.
Before you start brainstorming new content, take the time to audit what you already have. As you examine each piece, ask yourself these questions:
- Does this content answer a real buying question?
- Would someone trust us after reading this?
- Does it contain evidence, examples, or original insights?
- Is this something only our company can write?
If the answer to any of these questions is “no,” revise the piece to provide more reassurance. Maybe you could interview a subject matter expert and insert a few quotes as evidence. Backing up your claims with academic research or internal data also increases credibility.
Make sure you address the entire content marketing funnel, too. You may have plenty of content that helps people evaluate products, but little of it actually helps convert them. Investing in more bottom-of-the-funnel content, such as implementation guides and customer testimonials, can support their decisions.
The Best Types of Validation Content
Validation content is all about trust. Of course, not everyone finds the same evidence equally compelling, so it’s best to include a mixture of social proof and research-based content.
Make sure your content marketing strategy includes at least a few of these types:
- Comparison articles
- Customer stories
- Industry data
- Original research
- Product walkthroughs
- Thought leadership
- Videos with transcripts
Quality matters, too. Engage visitors by writing headlines people actually want to click, but don’t sensationalize them. Instead, use your headlines to introduce the question you’ll answer and set clear expectations.
For instance, a recent Compose.ly case study is titled “GetYourGuide Accelerates Organic Growth With a Rebuilt SEO Program, Developed in Partnership With Compose.ly.” This headline immediately sets up the solution — “a rebuilt SEO program” — and the outcome — “accelerates organic growth.” If a customer is looking to accomplish a similar goal, they’ll probably read the article to learn more.
Traffic Is No Longer the Goal
Before AI, marketers often focused on increasing web traffic. However, that metric doesn’t tell you if people actually believe in your brand or were motivated to act. It just says they were there.
Instead, pay attention to key performance indicators that reveal whether you’re growing trust and authority. These include conversions, citations in AI responses, time spent on page for validation content, and demo requests.
Compose.ly’s expert writers can help you create validation content that reinforces your credibility for both AI and buyers. Get in touch to learn more about how our Fully Managed SEO Content Services can help you outperform competitors who are still chasing top-of-the-funnel content.
