Something changed quietly over the last year. A chunk of your potential customers now open ChatGPT and type something like best project management tool for a five-person team before they ever visit a product page. ChatGPT gives them three or four names. They click one. You either made that list or you did not, and there is no missing click in your analytics to tell you which.
That is the strange part. Traditional search traffic shows up in Google Search Console when you drop off page one. AI recommendation traffic just never arrives, silently. So if you want to know whether ChatGPT is sending buyers your way, you have to go looking.
Here are five ways to do that, ordered from free-and-rough to paid-and-rigorous.
Being absent from an AI recommendation is a silent loss. There is no missing click to notice, no rank drop to alert on. You have to check on purpose.
The 5 methods at a glance
- Ask ChatGPT yourself (manual prompting)
- Free technical readiness checkers
- Subscription monitoring tools
- Brand tracking inside SEO suites you already own
- A deep one-time audit (Ron)
| Method | Cost | What it tells you |
|---|---|---|
| Manual prompting | Free | Whether you appear in a handful of runs right now, nothing more |
| Free readiness checkers | Free | Whether ChatGPT can reach and read your site at all |
| Subscription trackers (Otterly, Profound) | Monthly fee | Week-over-week visibility trends across many queries |
| SEO suite brand features (Ahrefs, Semrush) | Included if you subscribe | Citation and mention changes alongside your existing SEO data |
| Ron's one-time audit | $39 once | 36 grounded queries across ChatGPT, Claude, and Gemini, competitors named, ranked fixes |
Method 1: ask ChatGPT yourself
This one costs nothing and takes ten minutes. Open ChatGPT (free or paid), start a fresh conversation, and type the questions your buyers actually ask. A few prompts worth trying:
- ✓What are the best [your category] tools for [your customer type]?
- ✓Is [your product name] any good? What do people say about it?
- ✓What are some alternatives to [your main competitor]?
- ✓I need help choosing between [your product] and [competitor]. Which is better for [use case]?
Run each prompt two or three times in separate conversations. ChatGPT does not give the same answer every time. If your product name shows up consistently, that is a real signal. If it shows up once out of three tries, you are borderline. If it never shows up, you have your answer.
The limits here are real. You are sampling a tiny slice of the possible queries. You have no log of past answers to compare against. And you are only checking ChatGPT, not Claude or Gemini, which together make up a large share of AI-assisted buying research. Manual prompting is a good starting point, not a monitoring strategy.
Method 2: free technical readiness checkers
Before asking whether ChatGPT recommends you, it is worth asking whether ChatGPT can even find and read you. A lot of sites have technical gaps that make them nearly invisible to AI crawlers: no llms.txt file, blocked crawlers in robots.txt, thin or unstructured content, no structured data. If any of those are true, ChatGPT may simply not have reliable information about you to cite.
Ron's free AI Readiness Scorecard checks exactly those things. It looks at whether AI crawlers can access your site, whether your content is structured in ways models can parse, and whether you have the basics in place. It is a necessary first step, because fixing a technical gap is almost always faster than trying to earn citations with broken infrastructure.
HubSpot also offers a free AI Search Grader that runs your brand against a small set of generic queries and gives you a quick score. It is genuinely useful for a first impression. The trade-off is that it covers a narrow query set and captures your email for follow-up. Worth knowing going in, not a reason to skip it.
Method 3: subscription monitoring tools
If you want to track your AI visibility week over week, tools like Otterly and Profound are built for that. You define a set of queries relevant to your category, connect your brand, and get a dashboard showing how often you appear, what competitors appear alongside you, and how sentiment trends over time.
These tools are genuinely good for teams that need ongoing visibility data and can justify a monthly subscription. The trade-off is cost and setup time. You have to define your query universe carefully or the data is misleading. They also tend to focus on query-level visibility rather than giving you a prioritized action list for why you are not appearing.
If you are a larger marketing team running ongoing AEO efforts, a subscription tracker makes sense. If you are a founder trying to figure out where you stand today and what to fix first, the subscription cost and setup overhead may be more than the problem calls for.
Method 4: brand tracking inside SEO suites
If you already pay for Ahrefs or Semrush, both have been adding AI search features. Ahrefs Brand Radar tracks mentions of your brand across various sources. Semrush has added AI-related features to its content and brand monitoring tools. Neither replaces a dedicated AEO audit, but if you are already in those tools every week, it is worth knowing the features exist.
The honest limitation is that these tools were built for traditional search first. Their AI visibility features are improving but they are still catching up. You will get useful signal, but the query coverage and the depth of why you are not appearing tend to be thinner than dedicated tools.
Brand search volume correlates with AI citation rate more strongly than backlinks do. The takeaway: if people search your brand name specifically, AI engines trust you more. That is a reason to build brand, not just links.
Method 5: a deep one-time audit
Manual prompting tells you whether you appear today. A readiness checker tells you whether you have technical blockers. A subscription tool tracks trends over time. What none of those gives you easily is: across the full range of buyer queries in your category, how visible are you on each of the three major AI engines, who is showing up instead of you, and what specifically should you fix first?
That is what Ron's audit does. It runs 36 grounded queries (queries tied to real buyer intent, not generic category searches) across ChatGPT, Claude, and Gemini. It records which competitors appear in each answer, how you are described when you do appear, and whether there are factual gaps or outdated information dragging you down. The output is a ranked list of fixes, ordered by expected impact.
At $39 one time, it is not a subscription or a retainer. It is a snapshot with a clear action list. Once you have worked through the fixes, you can run it again to check progress, or use one of the free methods for a quick pulse check in between.
7.1%
Conversion rate from AI referral traffic, second only to paid search (The Stacc)
That conversion number is worth sitting with. AI referral traffic converts better than organic search, social, and most other channels. The buyers arriving from an AI recommendation already have a degree of trust baked in because a tool they rely on named you. That is a different kind of arrival than a cold Google click.
The one thing that predicts citations most
Research into what actually drives AI citations points to brand search volume as the strongest single factor, with a correlation of about 0.334. That is stronger than backlink count and stronger than domain rating. The interpretation is not complicated: AI engines like ChatGPT are trained on and shaped by the broader internet's opinion of who matters in a category. If people search for your brand name directly, that signal travels upstream into model training and grounding behavior.
The practical implication is that brand-building work, things like PR, word of mouth, community, and customer reviews, now has a direct line to AI citation rates. It is not just a soft, long-term play anymore.
Where to start
If you have never checked before, spend ten minutes on method one right now. Open ChatGPT and ask the three buyer questions above using your actual product and category. That tells you whether you have a problem worth investigating.
Then run the free AI Readiness Scorecard to rule out technical blockers. If both checks come back weak, a one-time audit is the fastest way to get a complete picture and a prioritized fix list without committing to a monthly tool subscription.
The goal is not to appear in every AI answer. It is to appear in the answers your actual buyers are reading when they are making a decision. That is a narrow and very specific target, and getting there is mostly about making your content trustworthy, accessible, and clearly relevant to the right queries.