# Measure your AI search visibility | AI SEO course, lesson 7 > 90-day view of AI search visibility: a manual prompt set, a weekly log, the Search Console signals that count, free trackers and a realistic curve. URL: https://aiseocourse.net/lessons/measure-your-ai-search-visibility/ Last-Modified: 2026-09-21 Author: Adam Yong would turn main into a scroll container and break every \`position: sticky\` inside it. --> Skip to main content [#main-content →](#main-content) Lesson 7 of 8 # Measure whether AI search shows your business Published 21 September 2026 · Last reviewed 21 September 2026 A manual prompt set, a weekly log template, the Search Console signals that mean something, free trackers, and what a realistic 90-day curve looks like. schedule 8 min read lock\_open Free, no signup person Written by Adam Yong Next: lesson 8 arrow\_forward [/lessons/where-to-go-next/ →](/lessons/where-to-go-next/) All 8 lessons [/lessons/ →](/lessons/) ![Monthly scorecard with prompt test results, Search Console trends and referral segments](/images/misc/flat-editorial-illustration-of-a-monthly-scorecard.webp) verified 100% Free, no signup, no paywall group 1,100+ readers schedule 8 lessons · ~80 minutes What it fixes [#what-it-fixes →](#what-it-fixes) The lesson [#lesson →](#lesson) Key takeaways [#takeaways →](#takeaways) Figures [#figures →](#figures) Steps [#steps →](#steps) Guides [#guides →](#guides) FAQ [#faq →](#faq) What it fixes ## Measurement problems this lesson is honest about query\_stats ### Three months of work and no way to score it You fixed the profile, rewrote the pages and added markup. Without a repeatable check, you cannot tell whether anything moved or whether you should keep going. money\_off ### Tools are selling AI rank tracking that does not exist There is no stable citation rank to track. Paying for a dashboard at foundation level buys you a chart, not an answer. shuffle ### The same prompt gives a different answer every time Run-to-run variance and personalisation make a single test meaningless. A fixed prompt set under consistent conditions is what turns noise into a trend. ## What this lesson covers check What can and cannot be measured today, with the reasons check A manual prompt set and a weekly log template check The Search Console signals worth watching, and what Google says about AI data in them check Free trackers and referral segmentation check What a realistic 90-day visibility curve looks like ## Start with what cannot be measured Measurement in AI search is immature, and most of the confident reporting you will be sold is inference dressed as data. Being clear about the gaps is the only way to build a routine you can trust. You cannot get a reliable citation count. There is no published figure for how often an assistant named your business this month. You cannot track a citation rank, because there is no ranked list. You cannot fully reproduce results, because the same prompt run twice can return different sources. And you cannot see conversations, so most zero-click attribution is guesswork. Two public numbers frame the scale. Semrush measured AI referral traffic at under 0.15% of total visits across 50,000+ sites in 2025, even after growing 66% in the year (Semrush, 27 April 2026, checked 17 September 2026). BrightEdge measured ChatGPT mentioning brands about 3.2 times more often than it links to them (BrightEdge, checked 17 September 2026). So most of the value of being named never shows up as a click, and the clicks that do arrive are a small number. That is why you measure mentions by looking, not by waiting for analytics. What you can do is run a controlled, repeatable observation and watch it over time. That is less satisfying than a dashboard and considerably more honest. ## The prompt set This is the core method, and it takes about fifteen minutes. **Build the set once.** Write five to ten questions a real customer would ask. For Halvorsen Plumbing, the fictional Boise plumber this course follows, the set is: "emergency plumber in Meridian open now", "how much does a water heater replacement cost in Boise", "plumber near Eagle Idaho that does gas lines", "who unblocks drains in Nampa", and six more in the same shape. Use their words, not your keyword list. Never include your business name, or you are only testing whether you exist. **Run it under fixed conditions.** Logged out, same three engines each time (Google AI Mode or the AI Overview, ChatGPT, Perplexity), same wording. Keep a note of your location, because assistants infer it from your connection and that shapes local answers. If you use a VPN or a different city, record that, because comparability is the whole point. **Record what you see.** For each prompt and each engine: were you named, who else was named, and which sources were cited. That last column is the most useful one, because it tells you which of your assets the engine can currently see. The guide on testing whether ChatGPT recommends your business [/guide/how-to-test-whether-chatgpt-recommends-your-business/ →](/guide/how-to-test-whether-chatgpt-recommends-your-business/) has the full method, including how to avoid the self-deception traps. ## The weekly log Keep one sheet. One row per prompt per engine per run. Halvorsen's looks like this after week one: | Date | Prompt | Engine | Named? | Who was named | Sources cited | | --- | --- | --- | --- | --- | --- | | 2026-09-28 | emergency plumber in Meridian open now | ChatGPT | No | Two competitors | Yelp, one competitor site | | 2026-09-28 | emergency plumber in Meridian open now | Perplexity | No | Three competitors | Yelp, a directory, Google Maps | | 2026-09-28 | water heater replacement cost in Boise | ChatGPT | No | One competitor, a national chain | Competitor page, a cost guide | | 2026-09-28 | water heater replacement cost in Boise | Perplexity | Yes | Halvorsen and two others | Halvorsen water heater page, Yelp | Log weekly, decide monthly. Weekly rows are cheap and give you enough points to see a trend; monthly is when you read the sheet and choose one action. Reacting to a single week's row is how people make pointless changes. Run an off-cycle check when something specific changes: you correct a major listing, you rewrite a page, you change your primary category, or a customer reports that an assistant told them something wrong. The guide on how often to re-check [/guide/how-often-to-recheck-your-ai-search-visibility/ →](/guide/how-often-to-recheck-your-ai-search-visibility/) sets out the full rhythm. ## The supporting signals Three sources add context around the prompt set. **Google Search Console.** Google states that AI Overview and AI Mode activity is included in the overall web search traffic in the Performance report, and does not offer a separate AI filter (Google Search Central, page updated 10 December 2025, checked 17 September 2026). So you are reading hints: impression growth on queries where AI surfaces appear, shifts in the queries you surface for, and the gap between impressions and clicks. A widening gap on informational queries is consistent with answers being read without a visit: Ahrefs measured a 58.0% lower clickthrough rate at position 1 when an AI Overview is present (Ahrefs, 4 February 2026, checked 17 September 2026). It is not proof of a citation and should not be reported as one. **Referral traffic.** Some assistants send identifiable referral traffic (chatgpt.com, perplexity.ai and similar referrers). Segment those in your analytics and watch the trend rather than the absolute number, which will be small. A handful of sessions a month from an assistant is normal and still meaningful, because the visitor arrived already informed. **Server logs.** From Lesson 5 [/lessons/build-a-local-site-ai-can-find/ →](/lessons/build-a-local-site-ai-can-find/) , confirming that the named crawlers arrive and receive 200 responses. If they stopped arriving, that is worth knowing before you spend a month wondering why nothing moved. Share of voice, meaning how often you are named versus named competitors across your prompt set, is a reasonable derived metric as long as you present it as what it is: your own observation, from your own sample, on a given date. Free trackers exist that automate the prompt run; treat their output the same way, as a sample on a date, and check a few rows by hand each month. ## What a realistic 90-day curve looks like Owners expect a line that goes up. What a site actually produces over its first quarter is lumpier, and the shape below is what to expect from the plan in this course rather than a promise. Weeks one to four usually show nothing in the prompt set. The profile is fixed, the pages are rewritten, and the engines are still citing the sources they cited before. Search Console impressions may tick up on branded queries first, because the profile and site now agree. Weeks five to eight are where the first "Yes" rows tend to appear, and they appear on the narrowest prompts first: the ones that name a specific service and a specific suburb, where the rewritten page is the most direct answer available. Halvorsen's first named row was the water heater cost prompt, not the emergency one, because the water heater page states a price and the emergency page competes with every plumber in the valley. Weeks nine to thirteen are inconsistent by nature. A prompt that named you in week ten may not in week eleven. Read the count across the month, not the row. If the monthly count of named rows is higher than the previous month's, the work is landing. If a new competitor keeps appearing, open the sources column and read what they published. ## When the answer is wrong rather than absent Sometimes the problem is not invisibility, it is misinformation: an old phone number, a closed location, a service you dropped. The fix almost always starts off-platform, because the engine is repeating a source. Correct the source, then use the platform feedback route, then wait, because re-crawling happens on their schedule not yours. The guide on what to do when AI search says something wrong [/guide/what-to-do-when-ai-search-says-something-wrong/ →](/guide/what-to-do-when-ai-search-says-something-wrong/) covers the routes and realistic timelines. > **Going deeper.** A scored measurement loop across many sites, engines and prompts is where a spreadsheet stops and AI SEO Rainmakers picks up; it covers this with weekly tested playbooks at > > seo.stream > > [https://seo.stream/ →](https://seo.stream/) > > . ## Exercise Run your baseline this week and set up the log. 1. Write ten customer questions in customer phrasing, each naming a service or a suburb, none naming your business. 2. Open a private window. Run all ten in Google (AI Overview or AI Mode), ChatGPT and Perplexity. Thirty rows. 3. For each row record named or not, who was named, and the sources cited. Save the sheet with today's date. 4. In Search Console, note total impressions and clicks for the last 28 days, and screenshot the top 20 queries. 5. In your analytics, create a segment for referrals from assistant domains and note the last 28 days' sessions. 6. Put a 15-minute weekly repeat in your calendar, and a 30-minute monthly review where you choose one action. ## Check your work - Your prompt set has five to ten questions, none of which contain your business name. - Every row in the log has a date, an engine, a named-or-not value and a sources column. - You ran it logged out and recorded the location you ran it from. - Search Console and referral baselines are recorded with a date range. - The weekly run and the monthly decision are both in the calendar. - You have written down one action for this month, and only one. ## Sources - Google Search Central, "AI features and your website", page updated 10 December 2025, on Search Console reporting: https://developers.google.com/search/docs/appearance/ai-features [https://developers.google.com/search/docs/appearance/ai-features →](https://developers.google.com/search/docs/appearance/ai-features) (checked 17 September 2026) - Semrush, Margarita Loktionova, traffic channel mix study, 27 April 2026: https://www.semrush.com/blog/traffic-channel-mix-study/ [https://www.semrush.com/blog/traffic-channel-mix-study/ →](https://www.semrush.com/blog/traffic-channel-mix-study/) (checked 17 September 2026) - BrightEdge, ChatGPT brand mentions versus citations: https://www.brightedge.com/resources/weekly-ai-search-insights/chatgpt-brand-mentions-vs-citations-what-triggers-visibility [https://www.brightedge.com/resources/weekly-ai-search-insights/chatgpt-brand-mentions-vs-citations-what-triggers-visibility →](https://www.brightedge.com/resources/weekly-ai-search-insights/chatgpt-brand-mentions-vs-citations-what-triggers-visibility) (checked 17 September 2026) - Ahrefs, Ryan Law, "AI Overviews reduce clicks" update, 4 February 2026: https://ahrefs.com/blog/ai-overviews-reduce-clicks-update [https://ahrefs.com/blog/ai-overviews-reduce-clicks-update →](https://ahrefs.com/blog/ai-overviews-reduce-clicks-update) (checked 17 September 2026) - SEO.Stream, public description of AI SEO Rainmakers: https://seo.stream/ [https://seo.stream/ →](https://seo.stream/) (checked 17 September 2026) ![Prompt test sheet listing customer-style questions with result columns for three AI engines](/images/content/prompt-test-sheet-panel-listing-customer-style-que.webp) Prompt test sheet listing customer-style questions with result columns for three AI engines Ask AI about this lesson: travel\_explorePerplexity [https://www.perplexity.ai/search?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first. →](https://www.perplexity.ai/search?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first.) chatChatGPT [https://chatgpt.com/?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first. →](https://chatgpt.com/?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first.) auto\_awesomeGemini [https://gemini.google.com/app?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first. →](https://gemini.google.com/app?q=Read%20https%3A%2F%2Faiseocourse.net%2Flessons%2Fmeasure-your-ai-search-visibility%2F%20and%20summarise%20what%20it%20says%20about%20Measure%20your%20AI%20search%20visibility%20for%20a%20local%20business%20owner%2C%20then%20list%20the%20three%20actions%20it%20recommends%20first.) Visual reference ## Figures from this lesson Diagrams you can screenshot and keep beside you while you work through the steps. Why it matters ## Why a small routine beats an AI visibility dashboard balance ### It is honest about the limits Most measurement advice sells certainty that does not exist yet. This lesson names what cannot be tracked today. timer ### It takes fifteen minutes a week The routine is deliberately small enough to survive a busy quarter, because a method you abandon measures nothing. payments ### It needs no paid tooling At foundation level, a spreadsheet and a logged-out browser cover what a single-location business needs. task\_alt ### It converts anxiety into a decision The output is one action for the month. That single decision is the only part of measuring that changes anything. Steps ## How to run a repeatable AI search visibility test 1. 1 edit ### Write five to ten real customer questions Use the phrasing a customer would use. Never name your own business in the prompt, or you will only prove that you exist. 2. 2 science ### Run them logged out, same conditions each time Same engines, same wording, no personalisation. Record who was named and which sources were cited. 3. 3 table\_rows ### Log the result with a date One row per prompt per engine per run. Comparability is the whole value, so keep the format fixed. 4. 4 insights ### Check the supporting signals Search Console impressions and queries, plus any referral traffic from assistant domains. 5. 5 flag ### Decide one action a month Pick the single most likely cause of a gap and fix that. Then stop measuring and go do it. ## Measuring on a schedule? Decide what happens next. Lesson 8 draws the line around foundation-level work, and says plainly when you have outgrown it. play\_arrow Continue to lesson 8 [/lessons/where-to-go-next/ →](/lessons/where-to-go-next/) Open the 90-day checklist [/checklist/ →](/checklist/) ## Guides that go deeper on measuring AI search visibility Short, evergreen answers that go deeper than the lesson itself. frequency ### How often to re-check your AI search visibility Why weekly checking produces noise, a monthly and quarterly rhythm that works, and what to log each time. [How often to re-check your AI search visibility →](/guide/how-often-to-recheck-your-ai-search-visibility/) process ### How to run a manual ChatGPT and Perplexity prompt test for your business Build a fixed prompt set, run it logged out in ChatGPT and Perplexity, and record the results without fooling yourself. [How to run a manual ChatGPT and Perplexity prompt test for your business →](/guide/how-to-test-whether-chatgpt-recommends-your-business/) what-to-expect ### What to do when AI search says something wrong about your business Why the error usually starts off-platform, how to fix the underlying source, the feedback routes that exist, and realistic timelines. [What to do when AI search says something wrong about your business →](/guide/what-to-do-when-ai-search-says-something-wrong/) Reader feedback ## What readers said about the measurement lesson Feedback from owners and SEOs working through the lessons. These are reader comments, not Google Business Profile reviews. > "The weekly log is the first thing that made this feel real. Six weeks of the same ten questions and I could see Perplexity start naming us for the mobile grooming prompts, and still not for the others." Sam O. Owner, mobile dog grooming Common questions ## Measuring AI search visibility: common questions Can I track AI citations the way I track rankings? expand\_more Not reliably. There is no stable citation rank, results vary between runs of the same prompt, and personalisation affects what you see. A fixed prompt set run under consistent conditions is the closest honest equivalent. Which Search Console signals actually mean something? expand\_more Impression growth on queries where AI surfaces appear, shifts in the queries you surface for, and a widening gap between impressions and clicks. Google says AI Overview and AI Mode activity is included in the web search type but not broken out, so the gap is a hint, not a citation count. Should I test while logged in? expand\_more No. Personalisation and history skew what you see. Use a logged-out session, and be aware of location bias, since assistants infer location from your connection. How many prompts do I need? expand\_more Five to ten real customer questions is enough to see a pattern. More prompts make the routine harder to sustain, and sustaining it is what produces the value. Should I pay for an AI visibility tracking tool? expand\_more Not at foundation level. For a single-location business, a manual test covers what you need. Tools become worth considering when you manage many locations or many clients. How long before changes show up? expand\_more Typically weeks. Corrections that depend on third-party data propagating can take a couple of months, which is another reason to compare across several checks rather than reacting to one. An answer says something wrong about my business. What now? expand\_more Fix the underlying source first, because that is what changes future answers, then use the platform feedback route. The guide on wrong AI answers covers the routes and realistic timelines. ## Related lessons Lesson 6 ### Reviews, mentions and citations AI trusts How off-site signals feed the facts and sentiment AI assistants repeat: review velocity and replies, the directories that matter, local mentions, and NAP consistency. [Reviews, mentions and citations AI trusts →](/lessons/reviews-mentions-and-citations/) Lesson 8 ### Where to go next The 90-day checklist, and three honest paths after it: keep going alone, get the site built, or step up to AI SEO Rainmakers, with dated facts and the referral disclosed. [Where to go next →](/lessons/where-to-go-next/) ![Portrait of Adam Yong](/images/squares/editorial-headshot-portrait-of-course-author-adam-.webp) Adam Yong Founder, LocusPilot Founder of LocusPilot and Agility Writer; leads GEO strategy at ADE Marketing. verified Founder, LocusPilot (AI website builder for local businesses) More about the author [/author/adam-yong/ →](/author/adam-yong/) Open access · immediate start ## Ready for Lesson 8? Where to go next. It picks up exactly where this lesson stops. Read lesson 8 arrow\_forward [/lessons/where-to-go-next/ →](/lessons/where-to-go-next/) View the 90-day checklist [/checklist/ →](/checklist/) No signup. No paywall. 8 lessons, ~80 minutes.