Share of Answer: How Mindflow Marketing Measures AI Visibility

Mindflow Marketing helps companies get found on Google and named by the AI engines buyers now ask first: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity and Gemini. Share of Answer is the number I use to score that, and the whole method sits on this page.

This is the page every other measurement claim on this site answers to. It publishes the whole method: the questions, the platforms, the run counts, the counting rule, the confidence intervals, and the things we refuse to report at all. Copy it if it is useful. Hold anyone selling you a number against it, including us.

• There is no such thing as an AI ranking. Ask the same question a hundred times and you will get a different list, in a different order, nearly every time. The research is below and it is not close.
• So we measure presence, repeatedly. How often you are named, out of a set of questions we froze in advance.
• Two instruments, one metric. A quarterly 12-question screen reported as a fraction, and a quarterly ≥400-observation measurement reported as a percentage with a confidence interval. The unit changes because the sample size changes.
• Movement has a threshold. Below it, we do not narrate the number as progress, even when it moved our way.
• Everything here is public on purpose. A measurement standard nobody can inspect is not a standard.

What is AI visibility, and how is it different from SEO?

AI visibility, also called answer engine optimization or AEO, is the practice of getting a business named inside AI-generated answers. SEO earns a ranked link a buyer clicks. AEO earns a mention inside the answer itself, in Google AI Overviews, Google AI Mode, ChatGPT, Perplexity or Gemini, where no click may ever happen.

The two run on overlapping machinery. Google states that its generative features are rooted in its core Search ranking and quality systems, so a page has to be indexed and eligible before it can be quoted. Classic SEO is the floor, not an alternative to it.

What sits above that floor is different work. An assistant is choosing which businesses to name, and it draws on how clearly your company is defined as an entity, how consistently it is described across the web, what independent sources say about it, and whether your pages answer the question in a passage it can lift whole.

Nobody can force a recommendation. Mindflow Marketing builds the entity footprint, the citable pages and the review base the assistants draw on, then scores where you land on twelve frozen buying questions across three platforms each quarter, with the screenshots archived and dated.

What does the published research say about AI answer stability?

Two studies sit under every rule on this page, and I quote them here as they are written. Read them first, because they are the reason “AI rank tracking” is selling you a coordinate that does not exist.

In January 2026 Rand Fishkin published research with Patrick O’Donnell of Gumshoe.ai: 600 volunteers ran 12 prompts across ChatGPT, Claude and Google’s AI Overview, producing 2,961 responses.

The finding, quoted exactly: “there’s a <1 in 100 chance that ChatGPT or Google’s AI, if asked 100X, will give you the same list of brands in any two responses”, and on ordering, “it’s more like 1 in 1,000 runs before you’d see two lists in the same order.”

Ask an AI for recommendations a hundred times and nearly every response differs in three ways at once: the brands listed, the order they appear in, and how many there are.

The same instability shows up on Google’s side. Ahrefs tracked 43,000 keywords with at least sixteen recorded AI Overviews each over a month and found AI Overviews have “a 70% chance of changing from one observation to the next”, “a persistence of 2.15 days on average”, and that between consecutive responses only 54.5% of cited URLs overlap.

What we read from that, and this part is our judgement rather than anything the sources state: Read those together and one conclusion follows. Nearly half the sources are entirely new each time. A product showing you “your rank in ChatGPT” is showing you a coincidence with a number printed on it.

A weekly AI visibility check is measuring weather, not climate. The only thing stable enough to track is how often you appear at all, sampled across enough runs to mean something.

Sources. Rand Fishkin with Patrick O’Donnell (Gumshoe.ai), SparkToro, 27 January 2026 (2,961 responses, 600 volunteers, 12 prompts) · Louise Linehan & Xibeijia Guan, Ahrefs, 11 November 2025 (43,000 keywords, ≥16 AI Overviews each, one month). Checked July 2026.

Run this on your own business, free

What does Mindflow Marketing deliver around this measurement?

Share of Answer is the scoreboard. Five pillars of work sit under it inside one engagement: local SEO and Google Maps, organic search, AI visibility and entity work, reputation and brand SERP, and conversion tracking. Every figure I hand you carries its denominator, so you can check it instead of believing it.

How the first 90 days work

Every Mindflow Marketing engagement opens with a diagnostic, not a pitch. The first 90 days establish a baseline you can hold us to, fix what is structurally broken, and put the first measured movement on the record.

1. Free Visibility Check. The twelve real buying questions for your trade, asked across Google Maps, Google and the assistants. You get the screenshots. No call required to receive it.
2. Local Visibility Audit. Crawlability and indexation, entity and schema state, map-grid position across your service area, review base, and the competitive gap. Delivered written, with the working shown.
3. Baseline measurement. Share of Answer scored before any work begins, so the starting number exists in writing and cannot be revised later.
4. Foundations, weeks 1 to 6. Technical fixes, entity and organisation schema, Google Business Profile, and the pages that answer the questions your buyers actually ask.
5. Authority and content, weeks 4 to 12. Citable pages, review systems, and the off-site corroboration assistants rely on when deciding whether a company is real.
6. First remeasurement. The same twelve questions, the same conditions, scored against the baseline. Movement or no movement, both go in the report.

The 12-question protocol, in full

This is the method behind the free Visibility Check, and behind the X/12 figures quoted everywhere else on this site. Nothing here is proprietary. Run it yourself if you would rather not take our word for anything.

1. 01Build twelve real buying questionsQuestions a customer asks before They know your name: “who should replace a privacy fence in Marietta,” not “is {your company} any good.” Brand queries inflate the score and prove only that you exist. Vary the phrasing deliberately: people asking the same thing word it in a dozen ways, so one canonical keyword measures almost nothing.
2. 02Freeze the set and version itWrite the twelve down and do not change them between runs. A changed question set resets the baseline, and comparing across versions is not a comparison. If you must revise, note it as v2 and start the trend again.
3. 03Pick the three platformsGoogle AI Overviews, ChatGPT and Perplexity. Report each separately, because a blended number that hides a zero on one platform conceals the single most useful fact in the report.
4. 04Set up clean sessionsLogged out or a clean profile, default model and settings, memory off, and a new chat for every run, never a reused thread. A logged-in session carries your own history and will flatter you. Set the client metro where the platform allows it, and record that you did.
5. 05Run each question three times per platformThree runs, three fresh sessions. That is 108 observations. Spread them over several days instead of firing them all in one sitting, because the answers move.
6. 06Count with the two-of-three ruleA question counts as won only if the business is named in at least two of its three runs. Named once out of three is variance rather than presence, and counting it is how honest measurement quietly turns into marketing.
7. 07Record more than presencePer observation: named yes or no, the sentiment, which sources were cited, and which competitors appeared. The citation list is usually more actionable than your own score, because it tells you which surfaces the engine actually trusts in your market.
8. 08Screenshot and date everythingAt minimum one run in five, plus every anomaly. An unscreenshotted claim about a generated answer is unfalsifiable, and three weeks later you will not be able to reproduce it.
9. 09Report it as a fraction, per platform, with the method boxX/12 for each platform, the question-set version, run dates, total observations, and the words “directional measurement.” Then re-run quarterly and read the trend, never a single quarter.

When a percentage becomes defensible

The quarterly instrument exists because the screen, by design, cannot answer “did the programme work.”

It samples until the confidence interval is tight enough to make a claim: 10–15 money queries per topic-space, run enough times across the platform matrix to clear 400 observations: ten queries × ten runs × four surfaces, or fifteen × seven × four, or any arrangement that gets there, spread across at least five business days inside a two-week window.

That earns a percentage, reported as visibility-% ±5pp blended, with per-platform slices carried at their own weaker precision rather than borrowing the blended figure’s.

And it earns a movement rule: a 5-point-or-greater change is movement we will claim, 2.5 to 5 points is a watch item reported but never attributed to anything, and under 2.5 points is noise we do not narrate at all.

Quarterly, not weekly, and that is a deliberate constraint, never a scheduling convenience. When the underlying answers change every couple of days, a weekly reading tells you about the week. We would rather report four times a year and be right than twelve times and be entertaining.

How to audit anybody’s number, ours included

Ask four questions and the conversation resolves quickly. What were the twelve questions? If they will not show you the set, there may not be one. Which platforms, in what session state? A score run from a logged-in account with memory on is measuring the analyst.

How many runs per question? One run is a coin flip; the research above is unambiguous about that. What does the number refuse to claim? A figure with no stated limits was not produced by anyone worried about being wrong.

Then apply it here. Our screen refuses to be a percentage at twelve questions. Our quarterly figure never appears without its confidence interval. Neither ever reports a rank.

And we run the whole thing on ourselves and publish the result in whichever direction it goes. our own numbers are here, alongside what we refuse to promise, in writing, before anyone signs anything.

What has Mindflow Marketing actually produced?

Two clients have given written permission to publish their numbers. Precision Fenceworks is a Georgia fence company working Athens, Alpharetta, Atlanta and Gwinnett, verified live 2026-06-16. Fireside Antiques is an eCommerce antiques dealer in Baton Rouge, Louisiana, with Search Console and Ahrefs data pulled 2026-06-10.

Neither published client is a company of this page’s readership by default: one is a Georgia fence company and one is a Louisiana antiques dealer, and Mindflow Marketing is not going to imply otherwise. What transfers between markets is the method: the audit, the frozen questions, the stated denominators and the work ledger.

What we cannot show either: revenue, lead volume and job values. Neither client’s permission covers it. So we cannot tell you whether this visibility became money, and we would rather say that than let a chart imply it.

Two clients is not a large portfolio and we are not going to present it as one.

A filled scorecard, so you know what you are getting

Illustration only. These are not a real client’s numbers. Your own figures come from the free Visibility Check, and our results for our own business are published on the tracking page.

What does this measurement cost to run on your business?

Mindflow Marketing publishes every rate. A Visibility Check is free. A Local Visibility Audit is $3,500 to $7,500 and credits against your first invoice if you start a monthly partnership within 30 calendar days of delivery.

The monthly partnership starts at $3,500 a month on a 90-day initial term, then runs month to month. No setup fee and no annual contract.

The credit caps at that first invoice and does not carry forward. At the bottom of the range a $3,500 audit against a $3,500 first month costs you nothing if you continue. At the top, a $7,500 audit against a $3,500 first month credits $3,500 and the remainder is spent.

I would rather you ran that sum at your own desk than found it on an invoice.

The full ladder, with what sits inside each tier, is on the pricing page.

Start with the free check

Which places and industries does Mindflow Marketing run this for?

The office is in Atlanta and every run is delivered from there. Inside metro Atlanta that covers Brookhaven, Buckhead, Sandy Springs, Dunwoody, Decatur, Chamblee, Marietta, Roswell, Alpharetta, Johns Creek, Duluth and Lawrenceville, across Fulton, DeKalb, Cobb and Gwinnett counties.

Beyond Georgia the same protocol runs for companies in Florida, North Carolina, South Carolina, Tennessee and Texas. The state parent for the home market is the Georgia market page.

The work covers established home-services companies in roofing, HVAC, plumbing, electrical, fencing, garage door and remodeling, plus high-value legal, specialty healthcare and considered-purchase eCommerce.

The common thread is deal value: one won job has to pay for months of the work, or the arithmetic does not close. One company per metro in each service category, so the seat next to yours stays empty.

What do owners ask most about measuring this?

Why avoid an AI rank tracker?

There is no rank to track. The SparkToro and Gumshoe research above found roughly a 1-in-1,000 chance of seeing the same brand list in the same order twice. A tool that reports your position is converting that randomness into a number, which feels like information and is not. What survives repeated sampling is presence, which is what we measure.

Isn't twelve questions a small sample?

Yes, and that is exactly why it is reported as a fraction and described as directional. Its job is triage, not proof: 1/12 and 8/12 point at completely different work. When a claim needs to carry weight, and has to answer whether the programme moved anything, we run the quarterly instrument at 400-plus observations and report the confidence interval with the number.

Why quarterly and not weekly?

The thing being measured changes every couple of days. Ahrefs put AI Overview persistence at 2.15 days on average, with under 55% of cited URLs surviving from one observation to the next. Weekly readings of a surface that volatile produce narrative, not evidence, so we do not use them as reporting inputs.

Can I run this myself without buying anything?

Yes, and we would rather you did than took our word for it. Everything needed is on this page: the question-construction rule, the platform list, the session hygiene, the three runs, the two-of-three counting rule. It takes an afternoon. Doing it once makes you considerably harder to sell to, which we consider a fair trade.

What if my score goes down?

It sometimes will, including in quarters when the work was good, because these surfaces move for reasons nobody outside the model providers controls. That is exactly why the movement thresholds exist and why single quarters are not narrated. If a provider's numbers only ever go up, you are looking at a marketing artefact instead of a measurement.

Where does your business show up in AI answers right now?

Get your Tier 1 screen, free. 12 real buying questions for your trade and market, three assistants, three runs each: your X/12 per platform, the method box, the screenshots, and the first fix worth making. No sales call, and the findings are yours to keep.

Mindflow Marketing runs Share of Answer from Atlanta · (404) 775-9995