If you want AI search to recommend your business, you need more than just good SEO pages. You need pages that give AI models a reason to trust and recommend you over your competitors. At TJ Digital, we’ve been testing which page types actually influence AI recommendations, and four of them stand out because they solve a problem most websites don’t even know they have: being found by AI but not being recommended.
Here’s the issue. Traditional SEO is about getting found. You create a page for every product, service, sub-service, use case, and service area. One page per keyword. That still matters for AI search, and it’s not changing anytime soon.
But AI search adds a second step. After you type a prompt into ChatGPT or Google’s AI Mode, the model retrieves a hundred or more web pages. It only cites and trusts a handful of them. Those are the ones that actually shape the response. So step one is making sure your brand shows up in that initial search. Step two is giving the AI model enough confidence to recommend you to the user.
These four page types help with step two.
Why “Being Found” Is No Longer Enough
The shift from traditional search to AI search changes what it means to “rank.” According to Pew Research Center data from 2025, when an AI summary appeared in Google results, users clicked a traditional link only 8% of the time, compared to 15% without the summary. Users clicked a link inside the AI summary just 1% of the time.
That means even if your brand “wins” a spot inside the AI answer, the click isn’t guaranteed. The value has shifted from getting clicks to getting mentioned and recommended. Similarweb’s research on what they call Generative Engine Optimization (GEO) puts it simply: when the user gets a complete answer without clicking, the only way your brand stays visible is if you are in the answer.
This is why the pages below matter. They’re not about ranking for new keywords. They’re about giving AI everything it needs to confidently recommend your business.
1. FAQ Page
Having content that addresses common questions has always been a solid SEO strategy. But the purpose of an FAQ page for AI search is different than what most people think.
For SEO, you typically want one page per question so each page can rank for its own keyword. Your FAQ page serves a different purpose. It gives the AI everything it needs to be an effective salesperson for your company.
Think about it this way. When someone asks ChatGPT or Google AI Mode about your type of service, the model is going to have follow-up considerations. Can this company handle my specific situation? What’s their pricing like? Do they offer guarantees? How long does this take?
Your FAQ page should anticipate all the questions and objections someone might have before hiring you, and then provide a clear response for each one. You’re not optimizing these for search volume. You’re making it easy for the AI to answer on your behalf.
Structure your FAQ page like this:
- Use direct questions as headings (H2 or H3)
- Follow each question immediately with a 1-2 sentence answer, then elaborate if needed
- Cover common service questions, pricing inquiries, timeline expectations, and comparison questions like “How are you different from competitors?”
- Include specific numbers and details wherever possible
AI systems can lift question-answer pairs directly into their responses. The more specific and complete your answers are, the more useful they become to the model.
2. Reviews Page
This one is simple but almost nobody does it. Create a page on your website where the title is literally “[Your Brand] Reviews.”
Here’s why this works. When an AI model is researching your business, one of the searches it runs will almost always be “[Your Brand] Reviews.” Because your website is the authority on your brand, this page will almost always show up in that retrieval step.
How to structure it:
- Near the top, write a short summary of the best things customers tend to say about your brand. Don’t just paste reviews. Synthesize the common themes so the AI can quickly extract what makes you stand out.
- Below the summary, include 10 or more of your best reviews in full.
This page serves two purposes. It gives AI models easy access to social proof about your business. And it gives you control over the narrative, because you’re curating the reviews that best represent your strengths.
This matters because AI models are looking for signals to differentiate you from competitors. Google’s own Reviews System documentation says it rewards high-quality reviews that provide insightful analysis and original research. Your reviews page becomes a concentrated source of exactly that kind of evidence.
3. Case Studies
I’ve been doing SEO for 17 years, and I never used to recommend case studies as a visibility strategy. They were nice for conversion (helping close someone who was already on your site), but they didn’t drive traffic because almost nobody searches for case studies.
That’s changed.
Large language models love case studies. When you go to ChatGPT or Google AI Mode and describe your specific situation, one of the first things the model does is look for case studies of people who had the same problem and found a solution. If you have case studies on your website and your competitor doesn’t, you’ll often win that recommendation by default.
The second thing I’ve noticed is that Google is getting better at ranking content that demonstrates real experience and expertise. Weaving case studies into your content lets you write from a position of genuine authority, and anecdotally, that content is performing much better than it used to.
For each case study page, follow this structure:
| Section | What to Include |
| Title | Main keyword + “case study” + the specific result (e.g., “Bathroom Remodel Case Study: 40% Under Budget in Tampa”) |
| Summary | 2-3 sentences covering the problem, solution, and result |
| Key Facts Table | A quick-reference table with the most important details (timeline, cost, results) |
| The Problem | What the customer was dealing with |
| The Solution | What you did and why |
| Customer Quote | A direct quote, if possible |
| FAQs | Common questions or objections specific to this case |
The FAQs at the bottom aren’t targeting keywords. You’re just anticipating questions someone might have after reading about this specific situation.
4. Benefits Pages
The last page type is one dedicated page for each benefit your company offers.
So you might have a page called “Free Consultation.” Or “Money Back Guarantee.” Or “One Week Free Trial.” Or “Same-Day Service.”
Large language models are drawn to these pages because the models are actively looking for anything they can use to differentiate you from competitors. When an AI is comparing three businesses and only one of them has a clearly explained money-back guarantee on a dedicated page, that becomes a factor in the recommendation.
These pages don’t need to be long. But they should clearly explain:
- What the benefit is
- Who it applies to
- Any relevant terms or conditions
- Why you offer it
You’re giving the AI model ammunition. The more specific context you provide about what sets you apart, the easier you make it for the model to sell you to the user.
The Bigger Picture: AI Search Rewards Depth Over Breadth
All four of these page types share something in common. They’re not about targeting new search keywords. They’re about giving AI systems enough detail and evidence to recommend you with confidence.
This aligns with a broader shift in how search works. BrightEdge research tracking AI Overview citations across nine industries found that pages already ranking organically overlap with AI citations more than half the time. You still need to rank to get cited. But ranking alone isn’t enough to get recommended.
The businesses winning in AI search are the ones treating their website like a knowledge base, not a brochure. Every page should answer a question the AI might have about your business, your process, your results, or your differentiators.
Start With What You Have
You don’t need to build all four page types at once. Start with whichever one you can fill with the most substance right now.
If you already have great reviews, build the reviews page first. If you have a few strong client stories, start with case studies. If you offer something your competitors don’t, build that benefits page.
The important thing is to stop thinking of your website as something only humans will read. AI models are reading it too, and they need different things than a human browser does. Give them the evidence they need to recommend you, and they will.
If you want help building these pages or want to see how your website currently performs with AI platforms, TJ Digital offers a free digital marketing audit that includes AI optimization recommendations.