Does ChatGPT Give the Same Answer to Everyone? (No)

No, ChatGPT does not give the same answer to everyone, and that is the most useful thing to know before you pay for any tool that sells an AI visibility score. If you have ever wondered whether ChatGPT gives the same answer to everyone, open two tabs and run one prompt twice. Compare the brand names. That gap is the whole problem with prompt-based tracking.

Same prompt, different answer

A language model builds a sentence one token at a time, choosing each token from a probability distribution. Temperature 0 makes that choice mostly greedy, which most people read as "identical output every time." It is not.

Thinking Machines Lab showed this in September 2025. They ran one prompt 1,000 times at temperature 0 and got 80 unique completions. The cause is batch size, and here is what that means in plain words. Your request does not run alone on the server. It gets packed into a batch with other people's requests, because that is how GPUs stay busy. The size of that batch changes the order in which floating point numbers get added up, which changes the last digits of the result, which changes which token wins by a hair. One token goes differently, then the next sentence follows from it, and by the end you have a different paragraph.

Nobody outside the provider controls the batch. Your question at 9am and your question at 9pm can land in two different batches and come back with two different answers. That is the same prompt, same model, same day.

Memory and personalization make it worse

ChatGPT carries context between conversations. Memory keeps facts from earlier chats. Custom instructions reshape tone and format. Account history, region, and whatever else sits in the current session all feed into the response. Two people typing the exact same sentence get different models wrapped around that sentence.

This is why comparing screenshots of the same prompt often shows nothing in common. It is also why a tool that types one prompt, from one account, in one region, is measuring that account's ChatGPT. Not yours.

Model updates change the answer over time

Chen, Zaharia and Zou, a Stanford and UC Berkeley team, tested GPT-4 on a prime-number task. In March 2023 it scored 84%. In June 2023 the same model name scored 51%. Same API, same name, different ability.

OpenAI then rolled back a GPT-4o update on April 29, 2025 because the model was overly flattering. Users spotted the tone change within days. Any report you saved three months ago describes a model that may no longer exist.

Brand visibility scores wobble, and positions wobble more

SparkToro and Gumshoe.ai ran the biggest version of this experiment in January 2026. Six hundred volunteers ran 12 prompts through ChatGPT, Claude and Google AI Overviews or AI Mode, 2,961 runs in total. Fewer than 1 in 100 runs returned the same list of brands. Fewer than 1 in 1,000 returned the same list in the same order. Visibility percentage across many runs held up better than position did.

Gumshoe sells AI tracking, which the study discloses. That does not undo the finding.

Rand Fishkin's description of tools that report a ranking position in AI is that they are "full of baloney." He has a point. A number between 1 and 10 for a position that changes between runs tells you almost nothing about your business.

Same company, different surfaces

Ahrefs looked at 540,000 query pairs in December 2025. Google AI Mode and AI Overviews cited the same URLs only 13.7% of the time, even though the underlying queries were 86% semantically similar. Two surfaces, one company, one intent, mostly different sources.

Change the method, change the score

Digital Applied scored one brand on one dataset three ways in 2026: 20% on mention-based share of voice, 16.8% position-weighted, and 31.4% citation-based. Same data, three numbers. When a vendor will not show you the method, the score is decoration.

Clicks are falling too. Pew Research Center surveyed 900 US adults in July 2025 and found they clicked a result in 8% of visits to a Google page with an AI summary, against 15% without one. They clicked a link inside the summary in 1% of visits.

What Kymo measures instead of sampling prompts

Most AI visibility tools type prompts into assistants, count the brands that appear in the answer, and sell you that percentage as a score. Kymo samples nothing.

Kymo records what AI engines actually did on your own site. A server-side receiver classifies crawler user agents into three groups: ai_answer for a live fetch made for one person's question, indexing for crawlers building a search index for later answers, and training for bulk crawls. You see that ChatGPT-User fetched your pricing page, that Claude-SearchBot crawled the guide you rewrote, and that a confirmed click-through arrived from an AI referral.

The AI crawler directory lists what sits in each group. Bytespider (ByteDance) and CCBot (Common Crawl) are training crawlers and send no traffic. ClaudeBot vs Claude-SearchBot is the pair people mix up most.

What Kymo does not do

Kymo does not track mentions and does not tell you what an assistant said. It cannot tell you that you were named in someone's answer in Ohio. It tells you that something real fetched your page, and whether it turned into a visit. That is a smaller claim, and it is one you can check against your own logs.

Pricing is flat. Solo is $9 a month or $90 a year, up to 10,000 events a month. Studio is $29 a month or $290 a year, up to 100,000 events a month. Every feature is included on both plans, and they differ only by event volume. AI crawler tracking does not count against your event limit. Both plans start with 14 days free, no card required.

What to do with all this

Stop buying a position. Get the pages that answer a specific question fetched and cited instead. The Small Business Guide to AEO covers how to structure a page for that, and it is the right starting point if you have never done it.

If you want the manual version first, Does My Business Show Up in ChatGPT? How to Find Out walks through it. Kymo's free AI visibility checker reads a URL from public signals, so your site does not need Kymo installed, and the report arrives by email.

One cheap bet: publish an llms.txt file. What an llms.txt file is, and whether AI crawlers fetch it explains why adoption is partial. No major operator has publicly committed to honouring it, so treat it as a few minutes of work, not a ranking lever. Publishing the file is not the same as a crawler fetching it, and only your own server sees which one happened.

If you are weighing vendors, AI SEO Tools for Small Business: What's Worth Paying For sorts the category out.

Stop guessing. Watch.

Most AI visibility tools ask a chatbot and report a guess. Kymo watches your own site instead: which pages AI engines read, how many people their answers send you, and which of those people buy. Every number comes from your server, not from a prompt someone else chose.

Start free → 14-day free trial. No card required.