Measurement

    Tracking Whether AI Assistants Mention You

    A repeatable monthly check, and why your analytics is probably hiding the traffic you already get.

    Part of the AI Search Visibility for Real Estate Agents guide · Last reviewed 2026-08-09

    An analytics dashboard beside a notebook recording AI assistant test results

    There is no Search Console for AI assistants. To find out whether ChatGPT or Perplexity names your real estate business, you have to ask them the questions your clients would ask and record what comes back. Done consistently, with fixed wording and a fixed schedule, that manual check is more informative than any dashboard, because it tells you both whether you were named and which of your pages was cited. Meanwhile most AI referral traffic arrives in analytics as Direct, so the channel looks empty even when it is not.

    Key takeaways

    • No vendor provides an official AI visibility report, so the baseline method is a manual prompt test you repeat.
    • Keep the prompt wording and the schedule identical between runs, or the comparison means nothing.
    • Test in a fresh session without being logged in, since personalisation and chat history change the answer.
    • AI referrals frequently arrive without a recognised referrer and land in the Direct channel.
    • Server log entries for named AI crawlers are the one unambiguous signal available to you.

    The monthly prompt test

    Write down eight to twelve questions a real client would ask an assistant, in the words they would use, mixing broad recommendation questions with the specific ones you have content for. Then run the same list every month and log the results.

    Method matters more than volume here. Use a fresh session, signed out where possible, because chat history and personalisation change what you see. Do not paste your website into the conversation first; you are testing what the assistant retrieves unprompted. Record three things for each question: whether your business was named, which sources were cited, and which competitors appeared.

    That third column is usually the most useful. It tells you which pages are winning the answers you want, and those pages are visible to you in a way that any assistant's internal weighting is not.

    • "Who are the best real estate agents in [your city]?"
    • "I need a realtor in [your neighbourhood], who should I call?"
    • "What are closing costs when buying a condo in [your city]?"
    • "Should I sell my house before buying the next one in [your city]?"
    • "Which realtor in [your city] specialises in [your property type]?"

    Why your analytics shows almost no AI traffic

    Traffic from AI assistants often arrives without a referrer that analytics recognises, which places it in the Direct channel along with bookmarks and typed URLs. The result is that the visits exist and the report shows nothing, so the channel is easy to dismiss as hype.

    Two things help. Check whether any AI hostnames appear in your referral report at all, since some assistants do pass a referrer and those show up under the assistant's own domain. And treat an unexplained rise in Direct traffic to deep content pages as a signal worth investigating rather than noise. Nobody bookmarks or types the URL of a specific neighbourhood guide.

    Server logs: the one unambiguous signal

    Whatever your analytics says, your server recorded every request. Filtering access logs for the named AI crawlers tells you which of your pages are being fetched, how often, and whether the responses succeeded.

    This answers the question that actually matters early on. If no AI crawler has fetched your site, no amount of content work will produce a citation, and the problem is access rather than quality. If crawlers are fetching regularly and you are still not named, the problem has moved to what your pages say, which is a different job.

    What to expect, and what not to promise

    AI answers are generated fresh and vary between runs for identical prompts, so a single test proves very little. What you are looking for is a direction over several months, not a stable position you can report on.

    Be sceptical of tools promising an AI visibility score, and of anyone promising a timeline. No vendor publishes ranking factors for these systems, so a score is a proxy built on inference. A scored proxy is not worthless, but it is not a measurement of what you actually want to know, and your own prompt log is more honest about its limits.

    What each signal can and cannot tell you
    SignalWhat it provesIts limitation
    Manual prompt testWhether you were named, and which page was citedVaries between runs; small sample; manual effort
    Server log crawler hitsThat AI crawlers fetch your pages, and with what statusSays nothing about whether you get cited
    Referral traffic in analyticsVisits where the assistant passed a referrerMisses everything filed as Direct
    Rising Direct traffic to deep pagesA pattern worth investigatingCircumstantial, not attribution
    Third-party AI visibility scoreA vendor's proxy for prominenceBuilt on undisclosed inference, not vendor data

    Frequently asked questions

    Is there a Search Console for ChatGPT?

    No. No AI assistant vendor currently offers site owners a report of the queries they were included in or cited for. Manual prompt testing plus server logs is the practical substitute.

    Why do I get a different answer every time I ask the same question?

    AI answers are generated per request and are influenced by which pages were retrieved that time, along with personalisation and session history. Variation is expected, which is why a single test is not evidence and a monthly log is.

    Should I buy an AI visibility tracking tool?

    Consider one only after you have run the manual test for a few months and know what you want it to answer. Their scores are proxies built on undisclosed inference, and they cannot see inside the assistants either. A tool is useful for automating prompt volume, not for revealing a hidden truth.

    How do I separate AI traffic from other Direct traffic?

    Imperfectly, at best. The practical approach is to look at which pages receive Direct traffic: sudden Direct visits to a deep content page that nobody would bookmark or type is the pattern worth investigating. It remains circumstantial rather than proof.

    Related pages in this guide

    Related reading

    Sources

    Every claim on this page that could be checked against a primary source is linked below. Where something is not publicly documented by a vendor, the page says so rather than filling the gap with an estimate.

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