How to Use Ahrefs for AI Ranking (And Why It Falls Short for AEO)

Ahrefs says you can use its platform to track a brand's AI search visibility against competitors. That is a true statement. It is also a statement about Google's AI Overviews, not about what happens when a potential customer opens ChatGPT and asks which project management tool they should buy.

That distinction is the entire problem. You can spend hours building an Ahrefs dashboard that proves you are winning AI Overviews, and still never know whether Perplexity is recommending your closest rival in the exact moment a buyer is ready to convert.

Founders are searching for how to use Ahrefs for AI ranking because they already pay for the tool. They want to know if their existing SEO stack can handle the shift from search results to AI answers. The honest answer is that you can force it to do a decent approximation. You can find proxy signals that hint at whether your SaaS is gaining ground. But Ahrefs is fundamentally a crawler of the Google index. It cannot scrape a large language model. It cannot tell you your Answer Share across Perplexity, Gemini, and ChatGPT. If you want to know how to track AI search rankings comprehensively, you need to understand where traditional tools stop and purpose-built AEO platforms begin.

Can Ahrefs Track AI Search Rankings? The Honest Truth

Ahrefs can track Google's AI Overviews, which are AI-generated summaries that appear at the top of standard search results. It cannot directly monitor what ChatGPT, Perplexity, or Gemini recommend when a user bypasses Google entirely. The platform is built on legacy SERP data, meaning it sees the inputs Google uses to generate its AI summaries, not the private recommendation logic of OpenAI or Anthropic.

If you are trying to measure ChatGPT rankings specifically, Ahrefs will not give you a direct answer. The tool's AI visibility features are grounded in search-result data. When Ahrefs says it can track AI search visibility, it is referring to Brand Radar's ability to monitor AI Overviews and related search-side signals. This is a useful proxy, but it is still a proxy. Large language models train on and cite web content, but the relationship between a backlink and a ChatGPT recommendation is far less direct than the relationship between a backlink and a Google ranking. Ahrefs gives you a map of the territory. It does not give you a live feed of the actual conversation.

Step 1: Use Ahrefs' SERP Features Report to Spot AI Overview Citations

The most direct way to use Ahrefs for AI ranking is to filter your Organic Keywords report for AI Overview citations. When you look at a keyword in Ahrefs, the SERP features column tells you which special result types appear for that query. If you see an "AI overview" tag, you know Google is generating an AI summary for that term. The question is whether your SaaS is the source.

Ahrefs frames ranking in AI Overviews not as appearing in traditional organic results, but as being cited within the AI search response at the top of the SERP. The top cited URL is visible on desktop without any interaction, while additional sources appear in a separate panel. Your goal is to be that top cited URL.

To do this, go to Site Explorer, enter your domain, and navigate to the Organic Keywords report. Look for keywords where you rank in the top 10. Ahrefs explicitly tells users that if target pages are outside the top 10, they should improve traditional rankings first before expecting AI Overview gains. This aligns with Google's own guidance that AI Overviews are built on existing content that already ranks well. Filter your keyword list for the "AI overview" SERP feature. If your URL appears as a citation, you have a direct proxy for AI visibility on Google.

The limitation here is obvious. You are only seeing what happens on Google. A SaaS founder running a workflow automation tool might rank beautifully in Google AI Overviews for "workflow automation software," but when a prospect asks ChatGPT "what is the best tool to automate my sales outreach," the AI might pull from a Reddit thread praising a competitor. Ahrefs will never surface that gap. You get a clear picture of your Google SERP presence, but you are blind to the actual conversational recommendations buyers are receiving.

Step 2: Track Brand Mentions with Ahrefs Content Explorer

Large language models do not just read backlinks. They ingest enormous amounts of text, and they favor authoritative, frequently mentioned sources. If your SaaS is being discussed on high-authority publications, review sites, and forums, you are feeding the training and citation data that LLMs rely on. Ahrefs' Content Explorer is the best tool inside the platform to find these mentions.

The workflow is straightforward. Open Content Explorer, type your brand name in quotes, and set a domain rating filter to 70 or above. You will get a list of pages on authoritative sites that mention your product. More importantly, you can use the "Highlight unlinked mentions" filter to find pages that talk about you but do not link to you. These are pure text mentions. While an unlinked mention might not pass SEO authority in the traditional sense, it absolutely contributes to your brand's presence in the training data of models like GPT-4 and Claude.

Consider a concrete example. You run an email warmup SaaS. You search Content Explorer for your brand name and find a mention on a popular marketing blog comparing five warmup tools. The article does not link to you. From a traditional SEO perspective, this is a missed backlink opportunity. From an AEO perspective, it is a signal that your brand exists in the corpus of text the LLM has read. You want more of these mentions, and you want them on sites the models trust. Ahrefs helps you find them so you can do outreach to get the mention expanded, or at least ensure the mention is accurate and positive.

The blind spot remains the same. Content Explorer shows you what has been published and indexed. It does not show you what ChatGPT actually says when asked about your category. You can see that a marketing blog mentioned your email warmup tool. You cannot see whether ChatGPT recommends your tool when a user asks "what is the best email warmup software for cold outreach in 2025." The gap between being mentioned and being recommended is where traditional SEO tools lose their grip.

Step 3: Map Question Demand with Ahrefs' "Also Ask" Feature

AI assistants answer questions. Traditional search returns a list of links. The shift from keywords to questions is one of the most consequential changes in search behavior, and Ahrefs has tools to help you find the exact conversational queries buyers are asking.

Go to the "Also ask for" report in Site Explorer, or use the "Questions" toggle in the Keyword Explorer. These reports surface the People Also Ask queries Google associates with your target keywords. For a SaaS founder, this is a goldmine. You are not just looking for "CRM software." You are looking for "what is the cheapest CRM for a two person startup" or "how does Hubspot compare to Salesforce for B2B sales teams."

These question-based keywords map directly to how buyers use AI. When someone asks ChatGPT for a software recommendation, they phrase it as a question. They include context. They ask about pricing, use cases, and comparisons. Ahrefs' recommended workflow for AI visibility starts with exactly this: question-based keywords, then checking Organic Keywords in Site Explorer, and then using Brand Radar to see whether search improvements correlate with AI Overview visibility.

The practical application for a SaaS founder is building a content strategy around these questions. You write comparison pages, pricing guides, and use-case articles that directly answer the conversational queries Ahrefs surfaces. The goal is to create the definitive content on the web for that specific question, so when an LLM ingests your page, it has everything it needs to cite you as the answer.

But here is the friction. Ahrefs pulls these questions from Google's People Also Ask data. ChatGPT and Perplexity generate their own questions based on user intent, and they do not always mirror Google's PAA boxes. You might optimize a page for "best project management tool for remote teams" because Ahrefs shows high volume and a clear PAA path. But a buyer might ask Perplexity "I have a 12 person remote team and we need something better than Trello, what should I use." The intent is similar, but the phrasing, the context, and the expected answer format are different. Ahrefs gives you a strong starting point for question demand, but it cannot capture the full range of conversational phrasing buyers actually use with AI.

Step 4: Analyze Referring Domains for AI Trust Signals

Backlinks remain a proxy for trust. LLMs favor sites with strong, relevant authority because authority correlates with accuracy and reliability. If your SaaS has a strong backlink profile from relevant SaaS directories, industry publications, and review sites, you are more likely to be cited by AI models answering questions in your space. Ahrefs' Site Explorer Backlinks report is the industry standard for analyzing this.

Enter a competitor's domain in Site Explorer and look at their referring domains. Filter for dofollow links with a domain rating above 60. You will see exactly which authoritative sites are linking to your competitors. This is your link-building target list. But more importantly, it is your AI trust signal target list.

If you run a scheduling SaaS and you see your competitor has links from three major HR publications, a well-known productivity blog, and a software review aggregator, those are the domains you need to pursue. LLMs crawl and trust these sites. When an AI assistant is asked "what is the best scheduling software for remote teams," it is going to look at the sources it considers most authoritative on workplace tools. If your competitor is cited on those sources and you are not, the AI has more reason to recommend them.

The mechanism is not direct. A backlink does not guarantee an AI citation. But a strong backlink profile increases the probability that your content will be seen as trustworthy and relevant when an LLM evaluates it. Ahrefs helps you map the competitive landscape of referring domains, giving you a clear roadmap for improving the authority signals that influence both traditional search and AI recommendations.

The Blind Spot: Why Ahrefs Can't See ChatGPT and Perplexity

Every step above is a useful approximation. Each one gives you a piece of the AI visibility puzzle. But when you put them all together, you are still looking at a reflection of Google's index. You are not looking at what ChatGPT actually recommends. This is why top Google rankings no longer guarantee AI visibility.

Ahrefs cannot scrape LLM prompts. It cannot measure Answer Share across Perplexity, Gemini, and ChatGPT. It cannot tell you how your SaaS is framed when an AI assistant mentions you. These are the metrics that matter most for AEO, and they are completely invisible to traditional SEO tools. Ahrefs sees the inputs. It sees the content, the backlinks, the SERP features, and the question demand. It does not see the output: the actual recommendation the AI makes to a buyer.

You cannot optimize what you cannot measure. Ahrefs measures the SERP. It does not measure the answer.

Ahrefs' own AI Content Helper scores content on a 0 to 100 scale based on how well it covers core topics present in competing pages. A score of 100 means total coverage of the topics across the top pages for the target keyword. This is a sophisticated content optimization tool, and it can help you write better, more comprehensive pages. But it works by analyzing the SERP, not by analyzing what AI models actually recommend. It assumes that covering the same topics as the top-ranking pages will lead to AI citations. That assumption is often correct for Google AI Overviews, because Google builds its summaries from top-ranking content. It is far less reliable for ChatGPT, which may synthesize information differently and cite sources that do not rank in the top 10.

Consider what happens when a buyer asks ChatGPT "what is the best AI note taking app for meetings." ChatGPT might synthesize information from a Reddit thread, a tech blog comparison article, and its own training data to recommend Otter.ai, even if Otter.ai does not rank number one for "AI note taking app" on Google. Ahrefs will show you who ranks for that keyword. It will show you the backlinks, the SERP features, and the question demand. It will not show you that Otter.ai won the ChatGPT recommendation because of strong brand recognition and a high volume of positive user reviews on forums. The signals that influence LLM recommendations are broader and more diffuse than the signals Ahrefs tracks.

Another common mistake is treating AI visibility as a single universal metric. Ahrefs' docs and tutorials separate AI Overviews, brand topics, keyword intent, and content coverage. This is correct, because AI ranking is actually a bundle of different measurement layers. But even Ahrefs' segmented approach does not go far enough. True AI visibility means tracking your presence, your standing, your sourcing, and your framing across multiple AI engines, not just Google. It means knowing not only whether you are mentioned, but how you are described. Are you positioned as the premium option, the budget choice, or the best for a specific use case? That framing matters enormously, and no traditional SEO tool can capture it.

What to Do Next: Measuring True AI Visibility

You can hack Ahrefs to monitor traditional SERP features and find proxy signals for AI visibility. The SERP feature filters, Content Explorer mentions, question keyword research, and backlink analysis all contribute to a stronger AEO foundation. But to actually see what ChatGPT and Perplexity recommend when buyers ask, you need a purpose-built AEO platform.

This is the gap AnswerRank was built to close. Instead of inferring AI visibility from SERP data, AnswerRank generates the real questions your buyers ask and runs them against live, web-grounded AI engines. It scores your visibility with an Answer Share metric, maps which competitors win each answer, and shows you the third-party pages and forum threads AI actually cites. It finds the missed answers and long-tail content opportunities with intent and priority. It turns all of that into a prioritized action plan you can execute yourself this week.

If you want to start with a free step, run your domain through the GPT SEO Checker to see where you stand. If you are ready to track movement over time across ChatGPT, Perplexity, and Gemini, the full platform gives you the measurement layer Ahrefs cannot provide. You can compare it against other SEO and AEO tools to future-proof your search visibility and decide which combination fits your stack.

The shift from search results to AI answers is not a future trend. It is happening right now, in the conversations your buyers are having with ChatGPT before they ever click a Google result. Ahrefs can help you build a stronger content foundation and win Google's AI Overviews. It cannot tell you if you are winning the actual AI recommendation. For that, you need a tool that reads the answer, not just the SERP.