Why do I get a different answer from ChatGPT than the tool stored?

Engines generate every answer fresh, so wording, order and even the list of brands move a little between runs. Compare the shape: the same three or four brands near the top is a match, a completely different set is not. If the tool's answer never matches what you see, it is not fetching what buyers see.

Does it matter whether the tool uses web search when it asks the engine?

Yes. Without web search, ChatGPT and Gemini answer from training data that can be a year old. With it, they read current pages and cite them, which is what most buyers get today. A tool should tell you which mode it uses.

What about Google AI Overviews and AI Mode?

These are real Google surfaces, not chat models, and they cannot be fetched by asking a model. A tool tracking them needs to query Google itself for your keyword and record whether an AI Overview appeared and what it said.

How often should I run the test?

Once when you evaluate a tool, and once every few months after that. If a tool changes how it fetches answers, the stored answers will stop matching what you see, and that is worth knowing before you make a decision on the numbers.

Can I run this test on Presence Scout?

Yes. Every check stores the full answer from each engine on the prompt's page, with the date and the sources it cited. Open one, ask the same engine yourself, and compare. If the shapes do not match, tell us.

Is Your AI Visibility Tracker Telling the Truth? A 5-Minute Test

A visibility score with no answer behind it cannot be checked. Run this 5-minute test on any AI rank tracker, including ours, before you trust its numbers.

Is your AI visibility tool telling the truth? There is a 5-minute test that answers it: open the tool's stored answer for one prompt, ask the same AI engine yourself, and compare. If the tool cannot show you an answer at all, you already have your result.

The test comes from a Reddit thread. Someone asked which AI visibility tool they could trust, and one reply stuck with me: a tracker that only shows a visibility percentage looks like a scam, because there is no way to check it. The writer trusted a tool only if it showed the actual answers, so they could ask the same question on their own laptop and compare.

They are right. A score you cannot trace back to an answer is a number, not a measurement.

Why a score alone proves nothing

An AI visibility score summarises many answers: how often, across your prompts and engines, the answer named your brand. From the outside, a badly produced score looks identical to a good one. Three ways it goes wrong:

The answer came from memory. Asked without web search, a model answers from training data that can be a year old. That is not what a buyer sees today, because ChatGPT and Gemini search the web for most product questions.
"Mentioned" is too generous. One passing word counts the same as being first on a shortlist. Without the answer, you cannot tell which you got.
There is no history. A score that moved from 40% to 55% means nothing if you cannot open last month's answers and see what changed.

None of these show up in the score. They only show up in the answers.

What a trustworthy tracker shows you

For every prompt, on every engine, on every check:

The full answer, as the engine returned it.
The date and time it was fetched.
The sources it cited, when the engine searched the web.
Where you sit in the running order, and which other brands appear.
The same answer from earlier checks, so the trend has receipts.

If any of these is missing, ask why. Usually the tool does not keep the answer at all.

The 5-minute test

Pick one category prompt you care about, such as "best CRM for a small business". Avoid questions that name your brand; they almost always name you, so they prove little.

Step 1: Open the stored answer

Open the prompt's answer on one engine. Note the date, the brands named and their order. If the tool shows a score but no answer, stop. There is nothing to check.

Step 2: Ask the engine yourself

Use a clean session: memory and custom instructions off, no chat history, logged out if the engine keeps a profile. Type the prompt exactly as the tool has it. A reworded prompt is a different prompt.

Step 3: Compare the shape, not the words

Wording will differ and brands may swap places; engines generate every answer fresh. What should match is the shape: the same handful of brands near the top, in roughly the same order, with similar sources. Six different brands means the tool is not fetching what you see.

Step 4: Repeat on a second engine

Perplexity is the best second check, because it always searches the web and shows its sources. If the tool tracks Google AI Overviews or AI Mode, search your keyword in Google and compare the AI box.

Step 5: Open an older check

If the tool keeps history, open the same prompt from a few weeks ago. It should differ from today's the way you would expect. If every old answer is identical, the tool is probably showing one cached answer with different dates on it.

What you see	What it means
Same brands, similar order, sources match	The tool fetches what buyers see. Trust the score.
Same brands, different order, no sources in the tool's copy	It may be asking without web search. Ask the vendor.
A different set of brands entirely	The answer is stale or was never fetched live. Do not trust the score.
No stored answer to open	Nothing to check. Treat the score as a guess.

How Presence Scout handles this

We built the product around the answer; the score is derived from it, not the other way round.

Every check fetches a fresh answer when it runs. Nothing is reused.
ChatGPT and Gemini are queried with web search on, so answers reflect current pages and come back with their sources. Perplexity searches by design. Google AI Overviews and AI Mode are fetched from Google for your keyword, not from a chat model.
The full answer is stored with its citations on the prompt's page, engine by engine, with the check date, and history stays.
Visibility, share of voice and competitor figures are all computed from those stored answers. No answer, no number.

We do not track Grok yet, and we do not show estimated figures. A dash on our dashboard means we did not check, not that we rounded.

Run the test on us

Open any prompt in your workspace, pick an engine, and ask it the same question yourself. If the shapes do not match, tell us.

The AI search visibility page shows what a stored answer looks like, and how we record citations explains where the sources come from. For a spreadsheet approach first, start with tracking your brand in ChatGPT by hand.