AI Search Strategy: 4 Pillars to Show Up More (and Right) in AI Answers

AI search probably won’t replace all the organic traffic websites are losing to AI. But traffic is only one piece of the puzzle.

Before someone ever lands on your website, an AI assistant may have already explained what your product does, compared it with competitors, and helped them decide whether you’re worth considering. By the time someone clicks through to your site after a conversation with an AI assistant, they may already understand the market and know exactly what they’re looking for.

That’s the real opportunity. Instead of focusing only on clicks, focus on becoming a brand that AI can accurately describe and confidently recommend.

To make that happen, focus on four things:

Give AI a clear, reliable source of truth about your business.
Build third-party evidence that shows your brand belongs in the category.
Publish content that remains valuable even after AI summarizes it.
Track your AI visibility over time to see what is improving.

In this article, I’ll walk you through each of these areas and show you how to improve your visibility in AI search.

GEO (Generative Engine Optimization) and traditional SEO. In SEO, we usually create pages to rank for specific queries. In GEO, some pages are valuable even if they never rank because they give AI systems a dependable source of truth.

If you look at a big tech brand like Samsung, you’ll see that their most valuable pages look like something a Sales or Support rep could use when chatting with customers (product guides, support docs, FAQs, etc.). Documentation for features, integrations, pricing, use cases, and product terminology helps AI answer questions accurately, and that is its new role.

What’s more, your documentation extends beyond your website. It includes every profile you control on platforms like G2, Capterra, LinkedIn, Crunchbase, app marketplaces, and partner directories. AI assistants frequently use these pages, and they’re often the first place your messaging becomes outdated.

Do a quick test: take any brand and ask ChatGPT whether it’s trustworthy. I think you’ll find these sites influence the answer:

If you want to optimize for AI search, treat every owned profile as part of your source of truth. Keep your descriptions, positioning, pricing, and product details consistent everywhere.

Whenever possible, back up your claims with evidence—reviews, certifications, rankings, or awards. The more signals AI can cross-check, the more confident it can be in describing your business accurately.

Don’t forget to keep your claims up to date. Our research found that AI assistants favor fresh information: AI-cited content is 25.7% fresher than organic Google results.

How to get started

Reviewing every page and profile you own can quickly become overwhelming. But you can uncover most issues with these three checks:

Review the branded profiles you control (G2, LinkedIn, Google Business Profile, Facebook, YouTube, and others).
Check whether your pages ranking for branded searches are accurate and up to date.
Ask AI assistants specific questions about your brand and products to uncover gaps in your documentation.

The first one is fairly straightforward, so let’s focus on the other two.

You can see which of your pages AI cites, which ones AI bots visit, and when they were last updated with Ahrefs Brand Radar. Just create a report, enter your brand name and domain, open the Cited pages report, and switch to the Yours tab.

To see AI bot activity and AI search traffic, you’ll first need to set up Ahrefs Web Analytics (it’s free). Once data starts coming in, you’ll see Bot visits and AI traffic columns in the report.

Recommendation

If you want to analyze citation freshness across a large website, try the Letaido skill I built. It looks for signals that indicate when a page was published or last updated, making it easier to audit large, complex sites. It also includes filters designed specifically for this workflow.

The third method is to ask AI assistants directly. You can do this manually in ChatGPT, Claude, Gemini, or any other major chatbot.

If you have an Ahrefs subscription, you can also automate this with custom prompts, so you can track answers over time without leaving Brand Radar.

For example, on the Standard plan, you can track up to 37 custom prompts across ChatGPT and Gemini each week (or switch to daily tracking). This helps you distinguish one-off mistakes from recurring issues and see whether answers improve after you publish new content.

When setting up your prompts for tracking, think like a potential customer. Sales calls and support conversations are great sources of ideas.

AI can also help you brainstorm. Try asking something like:

What questions might someone ask ChatGPT while researching my product? Learn about my product first from [your domain].

Or use the Generate prompts feature in Brand Radar to get started.

One more tip: pay attention to URLs that AI hallucinates. They often reveal pages that AI expects to exist but don’t. Those are good candidates for new redirects or even new content.

How to get started

Start by checking whether AI assistants already include your brand among the companies they regularly recommend in your category.

If they do, focus on protecting that position and making sure AI describes your business accurately.

If they don’t, you’ll need more third-party evidence that connects your brand with the category, the use cases you want to own, and the competitors you want to be compared against.

For example, if I wanted to check Ahrefs’ visibility in the SEO tools category, I’d create a Brand Radar report and enter “SEO tools” as the category.

In that category, Ahrefs has an AI share of voice of 87%, making it highly likely we’ll be mentioned in conversations about SEO tools.

To find the gaps, I’d hover over the Ahrefs brand name in the AI visibility breakdown chart and select Others only.

This filters the report to prompts where competitors were mentioned, but Ahrefs wasn’t.

For example, I can see that Ahrefs wasn’t mentioned in responses to “Which SEO tools are best for beginners?” in Google AI Mode and AI Overviews in the US.

The next step is to understand why.

I’d open those AI answers, review the pages they cite, and look for opportunities to earn mentions on those sites. At the same time, I’d consider whether our own website should do a better job covering the topic. In this example, creating a page about why Ahrefs is a good choice for beginners could strengthen the evidence AI finds.

There’s also a faster way to identify these opportunities.

With the same filters applied, open the Cited pages report and look at the Mentions on page column.

This gives you a list of pages that influence AI answers but don’t mention your brand.

Use it to prioritize outreach, partnerships, creator collaborations, reviews, and community participation. Focus on the sources that have the greatest influence on AI answers in your category.

If you don’t see enough prompts related to your niche in the main AI Index, create your own with the Custom prompts feature.

2024 with his “deep content” idea.

That’s exactly what we’ve seen at Ahrefs. Thousands of AI citations come from our original research because it offers something AI can’t find elsewhere.

In fact, with content like that, AI can even encourage the user to visit the page for the full story.

These are topics where AI can explain what to do, but not how to do it. Ask ChatGPT how to run a content audit, and you’ll get a solid outline, but the hard decisions are still yours to make.

The same goes for online tools, calculators, and templates, and that’s our second category: content that resists AI summarization. AI can describe a backlink checker, but it can’t be one. That’s one reason many of these keywords don’t trigger AI Overviews.

At Ahrefs, these pages receive some of our highest levels of AI citations and traffic.

Recommendation

Content for AI search isn’t a separate investment.

The same content that earns AI citations—original research, firsthand experiments, unique perspectives, and exclusive data—is also the kind of content people share, journalists quote, podcasts discuss, and sales teams use.

It fuels your newsletter, gives you something worth posting on social media, supports sales conversations, and earns third-party mentions.

AI visibility is simply another benefit of creating content that’s worth publishing in the first place.

How to get started

Start with the citation gaps: topics where AI assistants cite your competitors but not you.

A citation gap is a demand signal. It tells you the topic already matters in your category—you just haven’t earned a place in the conversation yet.

Here’s how I’d find those gaps in Brand Radar. In the Overview report, open the Citations tab, hover over your brand, and click Others only.

Next, open the Cited pages report. You’ll see pages AI already cites for those topics. Some may cover subjects you haven’t written about yet. Others may reveal pages on your site that could be improved.

Use the Found in and Traffic columns to prioritize opportunities. Then check the Published column to see whether you can create something fresher than what’s already being cited.

A useful trick is to filter the report to your closest competitors. If AI already cites them, there’s a good chance those are topics you should cover too.

The final step is to ask what you can contribute that nobody else can.

Look for places where a citation gap overlaps with something unique to your business: internal data, customer research, benchmarks, experiments, or firsthand experience. That’s where you’ll create the strongest content.

For content that resists summarization—like free tools, calculators, and templates—you need a keyword research tool like Ahrefs’ Keywords Explorer to show you where Google doesn’t show AI Overviews yet. Enter keywords related to your business, open the Matching terms report, and filter out keywords that trigger AI Overviews.

How to get started

If you’re using Brand Radar, start by creating a report and adding your competitors. The Brand performance chart tracks your mentions, citations, AI share of voice, and estimated impressions over time, making it easy to see both your current performance and long-term trends.

The chart above it lets you compare those same metrics across competitors. You can switch between AI visibility metrics using the selector in the top-left corner.

Use the upper filters to switch between prompt indexes, AI platform, and location.

Together, these reports answer four basic questions:

How often is my brand mentioned?
How often does AI cite my website?
How many people are likely to see those mentions?
How do I compare with my competitors?

That’s enough to establish a baseline and monitor your progress over time.

As you become more comfortable with these metrics, you can build a more specialized, custom dashboard. Here’s an example of one I’m building in Letaido for Letaido as a brand:

In addition to the core metrics, I track:

AI share of voice. The percentage of tracked prompts that mention your brand, compared against competitors. This is my quick-glance number for overall strategy. Coverage tells you how you’re doing in absolute terms; share of voice tells you whether you’re winning or losing the conversation.

AI traffic: Referral traffic from AI assistants. Helps to understand which content survives summarization and which pages people typically land after AI chats. I don’t treat it as the primary KPI: AI often influences journeys that analytics can’t fully attribute. Someone might discover your brand in ChatGPT, then return later through Google, a bookmark, or a direct visit.

AI bot activity. How often AI crawlers visit your site. Use this as a diagnostic metric. If new content isn’t being crawled, it’s unlikely to appear in AI answers. A sudden drop in crawler activity can also help explain why visibility isn’t improving as expected.

AI coverage. The percentage of tracked prompts that mention your brand or cite your website—split into mentions vs. citations, since being name-dropped and being linked are different wins.

If you publish original research, launch a PR campaign, or improve your documentation, coverage tells you whether those efforts actually increased your presence across the prompts that matter.

Also very useful for new brands and new niches, where it’s more important how often you show up at all, regardless of competitors.

AI perception. How AI consistently describes your business, scored across dimensions like ease of use, enterprise-readiness, and trust, alongside the adjectives, use cases, and strengths AI associates with the brand.

Over time, this reveals whether the market narrative is shifting in the direction you want, or whether AI has developed inaccurate or outdated associations that need to be corrected through better content or stronger third-party signals.

Outdated pages cited by AI. Pages AI assistants cite but whose content is stale: old pricing, deprecated features, pre-launch copy, etc. AI keeps quoting what it found, not what’s true today.

Recommendations. The “so what” layer. Prompts where competitors get cited and you don’t, topic segments where you’re absent entirely, and third-party pages that misrepresent your brand—each paired with a concrete action. Without this, an AI visibility dashboard is just monitoring; this is where it turns into a to-do list.