Most brands still measure search performance in Google rankings and organic traffic. But Gartner predicts AI will replace 50% of traditional search traffic by 2028. If you’re not tracking where you show up in AI answers, you’re flying blind.
AI visibility is different from SEO visibility. It isn’t about ranking position. It’s about whether AI systems mention your brand, cite your content, or recommend your product when someone asks a relevant question.
This guide walks through exactly how to track it — and what to do with what you find.
What is AI visibility?
AI visibility refers to how often and how favorably your brand appears in answers generated by AI systems like ChatGPT, Perplexity, Claude, and Gemini.
There are two distinct signals to track. The first is prompt-based visibility — whether your brand gets mentioned when a user asks a relevant question. The second is crawler-based visibility — whether AI systems are visiting and using your content to build their answers.
Both matter. Both require different measurement approaches.
Step 1: Define the prompts that matter to your business
Before you measure anything, write down the questions your ideal customers are asking AI systems. These aren’t keywords. They’re full natural-language questions.
Examples: “What’s the best project management tool for a 10-person startup?” or “Which AI visibility platform should I use?” Think like a buyer at each stage — awareness, comparison, and decision.
Start with 10 to 25 prompts. Narrow these to the ones with clear commercial intent. These become the baseline you’ll track over time. The two prompt categories worth covering first are category-winner questions and popular industry questions.
Step 2: Run your prompts manually to establish a baseline
Open ChatGPT, Perplexity, Claude, and Gemini. Run each of your prompts. Log whether your brand appears, where in the answer it appears, and which competitors are named instead of you.
This manual audit gives you a snapshot. It’s imprecise — AI answers vary by session — but it tells you whether you have a visibility problem at all.
Record your results in a simple spreadsheet: prompt, platform, mentioned (yes/no), position in response, competitors named. This becomes your baseline.
Step 3: Set up automated prompt tracking
Manual checks don’t scale. AI answers change daily as models update and new content gets indexed. You need a system that runs prompts automatically and logs results over time.
Tools like Airefs run your defined prompts against ChatGPT and other LLMs on a daily basis. They record your mention rate, your citation rate, and how these change week over week. You also see which competitors are getting recommended instead of you — and can dig into why. That history is your share of voice over time.
Airefs starts at $24/month for the Lite plan, which covers 25 prompts and 3 competitors. The Pro plan at $49/month raises that to 60 prompts, 5 competitors, and 90 days of analytics history, and includes a 7-day free trial.
Step 4: Monitor AI crawler activity on your site
Prompt tracking shows you the output side of AI visibility. Crawler monitoring shows you the input side — which of your pages AI systems are actually reading.
AI crawlers (GPTBot for ChatGPT, PerplexityBot, ClaudeBot, and others) visit sites regularly to source content for their answers. Tracking this activity tells you which pages AI finds useful and how often it returns.
Look for patterns: are AI crawlers hitting your product pages, your blog, your FAQ section? Pages with high crawler frequency are already influencing AI answers. Pages with zero crawler visits may never show up in AI responses regardless of how good the content is.
Airefs surfaces this data as Impressions. You can see crawler frequency by page and correlate that to your mention rate for specific prompts.
Step 5: Track your competitors’ AI visibility
Knowing your own mention rate isn’t enough. You need to know how it compares to your direct competitors.
When you run a prompt like “best tools for X,” AI systems typically name three to five options. If you’re not in that list, someone else is. Understanding who gets recommended — and how consistently — tells you who you’re actually competing against in AI search.
This is different from SEO competitor analysis. Your AI search competitors may not be the same as your Google competitors. Track up to five competitors alongside your own brand to see the full picture.
Step 6: Find the sources AI relies on in your category
AI answers don’t appear from nowhere. They’re built from specific URLs — editorial articles, forum posts, review sites, YouTube videos, and industry databases. Identifying which sources AI trusts in your category is one of the highest-leverage activities in AI visibility work.
Lillian P, a fractional CMO, captured this well: “While every other AI search visibility tool showed me whether I was being cited, Airefs showed me all 571 URLs that were being cited.”
Once you know which sources influence AI answers in your space, you can evaluate each one. Are you mentioned on these sites? Could you earn a mention? Are there gaps where a new article or forum contribution would help?
Step 7: Act on the gaps you find
Tracking without acting is just reporting. The data you’ve gathered should drive three types of work.
Join existing conversations. Reddit threads, Quora answers, and niche forum posts are among the sources AI systems trust most. Identify threads in your category where AI answers are being shaped — and contribute genuinely useful input before those threads become established sources.
Create content that targets uncovered prompts. If AI systems consistently fail to mention your brand for a specific prompt, that’s a content gap. Build an article, case study, or FAQ that directly addresses that question. AI systems reward clear, direct answers to specific questions.
Get mentioned on trusted third-party sources. AI systems learn from what’s written about you, not just by you. Pursue coverage on the editorial sites, review platforms, and directories that AI already cites in your category.
Ruben K, co-founder at Techmap, described the result of this approach: “Thanks to Airefs, Techmap went from invisible in LLM answers to showing up every time as one of the best courses for tech recruiters — and it all happened in just a few weeks.”
Step 8: Measure your AI search traffic
AI visibility isn’t just about what AI says — it’s also about whether people click through from AI answers to your site.
AI referral traffic is distinct from organic search traffic. It comes from links embedded in AI answers (especially Perplexity) or from users following up after an AI recommendation. Set up a segment in your analytics tool to isolate traffic from known AI referrers: perplexity.ai, chatgpt.com, and others. Airefs tracks this segment as Clicks.
Track this segment week over week. Growth in AI referral traffic is a concrete signal that your visibility work is having real-world impact.
Step 9: Review and iterate monthly
AI search is not static. Models update, new content gets indexed, and competitors publish new material constantly. A visibility snapshot from three months ago may no longer reflect reality.
Set a monthly cadence: run your prompt report, review your AI traffic data, check which sources have entered or left your category’s AI ecosystem. Then update your content and participation strategy accordingly.
The brands that build durable AI visibility treat it as an ongoing process, not a one-time audit.
Frequently asked questions
How often do AI search results change? AI answers can shift daily as models update and new content gets indexed. For prompts tied to active market categories, weekly drift is common. Automated daily tracking is far more reliable than periodic manual checks.
Is AI visibility the same as appearing in Google AI Overviews? No — though they’re related. Google AI Overviews are one surface. ChatGPT, Perplexity, Claude, and Gemini are separate systems with separate content pipelines. Strong visibility in one doesn’t guarantee visibility in others.
How many prompts should I track? Start with 10 to 25 prompts covering your key use cases and buyer stages. Expand once you have baseline data. Tracking too many prompts too soon dilutes your ability to act on what you find.
Do I need to be mentioned on Reddit to show up in AI answers? Not necessarily, but Reddit is heavily referenced by AI systems — especially ChatGPT — when sourcing conversational answers. Participation in relevant threads is one of the most effective ways to earn early AI visibility.
What’s the difference between a mention and a citation? A mention means your brand name appears in an AI answer. A citation means AI links to or specifically references a page on your site as the source. Citations carry more weight and drive direct referral traffic.
Can I improve AI visibility without changing my website? Yes. Off-site signals — forum participation, third-party editorial coverage, review site presence — often have as much or more influence on AI answers as on-site content. Both matter, but off-site work can move the needle quickly.
Conclusion: Start tracking, then start acting
AI visibility is measurable, improvable, and increasingly important. The steps above give you a structured approach: define your prompts, establish a baseline, automate tracking, understand the source landscape, and build a content and participation strategy around the gaps.
The brands showing up in AI answers today started tracking earlier than their competitors. That window is still open, but it’s closing.
Airefs combines automated prompt tracking, AI crawler analytics, competitor monitoring, and source intelligence in one platform — with plans starting at $24/month and a 7-day free trial on Pro. Start your trial and see exactly where you stand in AI search today.