ChatGPTOct 15, 2026, 06:10 UTCRun 4 of 10
Tallyfern · position 3OakmereQuillmarsh
Teams of 20 usually look at Oakmere or Quillmarsh first. Tallyfern is worth a look if you want simple pricing.
Sources cited: payrollreview.example
Aivting's AI search monitoring tracks how ChatGPT and Google's AI answer your buyers' questions, then shows whether your brand is named, and who's named instead.
Illustrative dataFictional brands and invented numbers, to show how Aivting works. Not a customer's results.
ProjectsTallyfern
Tallyfern
Tallyfern vs Oakmere, Quillmarsh, Draybury and Wendlecott
Visibility per day
| Brand | Visibility |
|---|---|
| Oakmere | 66%238/360 |
| Quillmarsh | 53%190/360 |
| TallyfernYou | 41%148/360 |
| Draybury | 31%112/360 |
| Wendlecott | 17%61/360 |
Prompts
| Prompt | Visibility | |||
|---|---|---|---|---|
| 50%15/30 | ||||
One row is open in this demo. Pick a plan to see every row for your own brand. Discover Your Brand AI Visibility | ||||
Checking your brand in ChatGPT looks simple: type a question, read the answer. Ask the same question again and you can get a different answer, with different brands in it. One check is an anecdote. It can't tell you whether you're winning or losing.
Aivting runs the prompts you choose in each AI engine and turns the answers into three things you can act on. A prompt, in plain terms, is a question your buyer would type, such as "which payroll tool works for a 20-person company?" You pick the prompts, so the numbers describe your market, not a generic one.
The common mistake is treating one screenshot as a trend. A competitor named in this morning's answer may be missing this afternoon, and a slide built on that one answer can send a team after the wrong problem. Rates across many answers, with the count shown, are what make a change worth acting on.
Illustrative dataFictional brands, invented numbers.
ChatGPT62 of 120
Google AI Overviews36 of 120
Google AI Mode50 of 120
| Brand | Visibility | Answers |
|---|---|---|
| Oakmere | 66% 238/360 | |
| Quillmarsh | 53% 190/360 | |
| TallyfernYou | 41% 148/360 | |
| Draybury | 31% 112/360 | |
| Wendlecott | 17% 61/360 |
Illustrative dataFictional brands, invented numbers.
ChatGPTOct 15, 2026, 06:10 UTCRun 4 of 10
Tallyfern · position 3OakmereQuillmarsh
Teams of 20 usually look at Oakmere or Quillmarsh first. Tallyfern is worth a look if you want simple pricing.
Sources cited: payrollreview.example
ChatGPTOct 9, 2026, 06:10 UTCRun 2 of 10
Tallyfern · position 1OakmereQuillmarsh
If you're hiring for the first time at around 20 people, Tallyfern is the simplest to set up. Oakmere adds HR features if you need them, and Quillmarsh suits teams spread across states.
Sources cited: tallyfern.example, smallbizdesk.example
For every prompt, Aivting records whether the answer names your brand and where it appears. Across runs that becomes a mention rate: the share of answers that name you, shown next to the number of answers it's based on. "Named in 6 of 10 answers" tells you more than a screenshot, because you can see how firm the figure is.
Position in the answer matters too. Being the first brand in a short list reads very differently from a passing mention in the last paragraph, and the report shows which one you got. For example, "named third, after two competitors" and "named first, with a short reason" are both mentions, but only one of them is a recommendation.
Illustrative dataFictional brands, invented numbers.
Google AI OverviewsNov 2, 2026, 06:14 UTC
Tallyfern not namedOakmereQuillmarshDraybury
Popular payroll services for teams of around 20 include Oakmere, Quillmarsh and Draybury. Most file payroll taxes for you; compare the per-employee fee before you choose.
Sources cited: payrollreview.example, smallbizdesk.example
You add the competitors you care about, and Aivting checks every answer for them as well. So when an answer leaves you out, you see who it recommended. Across all answers, that becomes share of voice: your mentions out of all brand mentions in the answers.
When an engine cites pages, Aivting lists those cited sources. They show which articles, reviews and comparison pages the answer leans on, which is often the most practical lead you get: the page that keeps naming your competitor is the page to improve, pitch or answer.
Illustrative dataFictional brands, invented numbers.
ChatGPTNov 2, 2026, 06:10 UTCRun 10 of 10
Tallyfern · position 2OakmereQuillmarsh
For a 20-person company, three tools come up most often. 1. Oakmere, a full-service option with HR built in. 2. Tallyfern, simple pricing and a short setup. 3. Quillmarsh, a good fit if your team works across several states.
Sources cited: payrollreview.example, tallyfern.example
AI answers vary from one run to the next, and they move over time as models and the pages they read change. That's why a single number is never the whole story. Aivting keeps the full answer as evidence behind every result, so when your mention rate drops you can open the answers and read what changed.
Compared to what? Each figure sits next to your competitors' figures for the same prompts, and next to your own earlier results. You start a run when you want fresh answers; daily automatic runs are on our roadmap.
A worst case and a best case show why this matters. Worst case: your rate falls and you only have the number, so the team guesses. Best case: you open the answers, see that a new comparison article is now cited in most of them, and you know which page to answer.
You set it up once. After that, Aivting does the collecting and you read the results. The only ongoing work is adding a prompt when a new buying question comes up.
Illustrative dataFictional brands, invented numbers.
ProjectsNew project
New project
One website, the competitors to compare it with, and the questions buyers ask AI assistants.
Which website are we tracking?
ProjectsNew project
New project
One website, the competitors to compare it with, and the questions buyers ask AI assistants.
Who do you compete with?
Up to 10. The graph compares Tallyfern with each of them.
ProjectsNew project
New project
One website, the competitors to compare it with, and the questions buyers ask AI assistants.
What do your buyers ask AI assistants?
Write them the way a buyer would type them. Every run asks each prompt on every engine.
ProjectsTallyfernPrompt
Which payroll tool works for a 20-person company?
Search demand Medium
All 30 answers are in. ChatGPT, Google AI Overviews and Google AI Mode, 10 runs each.
By engine
| Engine | Visibility | Avg. position |
|---|---|---|
| ChatGPT | 70%7/10 | 2.0 |
| Google AI Overviews | 30%3/10 | 2.7 |
| Google AI Mode | 50%5/10 | 2.4 |
ProjectsTallyfern
Tallyfern
Tallyfern vs Oakmere, Quillmarsh, Draybury and Wendlecott
Visibility per day
| Brand | Visibility |
|---|---|
| Oakmere | 66%238/360 |
| Quillmarsh | 53%190/360 |
| TallyfernYou | 41%148/360 |
| Draybury | 31%112/360 |
| Wendlecott | 17%61/360 |
Prompts
| Prompt | Visibility |
|---|---|
| Which payroll tool works for a 20-person company? | 50%15/30 |
| Best payroll software for a small business | 60%18/30 |
| Easiest payroll app for first-time employers | 70%21/30 |
ProjectsTallyfernPrompt
Which payroll tool works for a 20-person company?
Search demand Medium
Answers
ChatGPTNov 2, 2026, 06:10 UTC
Tallyfern · position 2OakmereQuillmarsh
For a 20-person company, three tools come up most often. 1. Oakmere, a full-service option with HR built in. 2. Tallyfern, simple pricing and a short setup. 3. Quillmarsh, a good fit if your team works across several states.
Sources cited: payrollreview.example, tallyfern.example
Google AI OverviewsNov 2, 2026, 06:14 UTC
Tallyfern not namedOakmereQuillmarshDraybury
Popular payroll services for teams of around 20 include Oakmere, Quillmarsh and Draybury. Most file payroll taxes for you; compare the per-employee fee before you choose.
Sources cited: payrollreview.example, smallbizdesk.example
Google AI ModeNov 2, 2026, 06:17 UTC
Tallyfern · position 3OakmereQuillmarsh
Good choices for a 20-person team: Oakmere if you want HR and payroll in one place, Quillmarsh for staff in several states, and Tallyfern if the quickest setup matters most.
Sources cited: smallbizdesk.example
ProjectsTallyfernGap analysis
Gap analysis
Sites AI answers cite when they name a competitor but not Tallyfern, ranked by those answers. Good places to get Tallyfern mentioned.
Sites
| Site | Gap answers |
|---|---|
| payrollreview.example Editorial · 2 pages | 64 |
| smallbizdesk.example Editorial · 3 pages | 41 |
| hrstackguide.example Editorial · 1 page | 33 |
| forum.founders.example UGC · 4 pages | 22 |
| ledgerweekly.example Editorial · 1 page | 18 |
| payrollcompare.example Reference · 1 page | 12 |
ProjectsTallyfern
Tallyfern
Tallyfern vs Oakmere, Quillmarsh, Draybury and Wendlecott
What do you do with the results? Start with the prompts where competitors are named and you aren't. Read those answers, look at the sources they cite, and you'll usually find the pages that decide the outcome.
If you're comparing AI visibility tools, Aivting is one of them, so use this checklist as a fair test for any tool you look at, ours included. The good thing about checking by hand: it's free and you can ask anything. The less good thing: it doesn't scale past a handful of prompts, and it keeps no history. Here's what a tool should add on top.
Repeated runs, with the sample size shown.
A rate without the number of answers behind it can't be checked or compared.
The answer itself, not just a score.
If you can't read the answer, you can't explain a drop to a client or to your head of marketing.
Competitors in the same answers.
Your own mention rate means little until you see the brands named next to you.
The engines your buyers use.
ChatGPT and Google's AI answers behave differently. Ask which engines are live today, not which are planned.
The sources answers cite.
They point to the pages that shape the answer, which is where your next piece of work usually starts.
Prompts you control.
Generic prompts measure generic things. Your buyers' real questions measure your market.
Limits you can understand.
Before you compare prices, know what counts as a prompt and how often it runs.
Most AI search monitoring tools will pass some of these. Score each one against the full list before you commit.
A fair way to compare: give every tool you trial the same short list of prompts and the same competitors. Then open the answers behind the numbers. If two tools disagree, the one that shows its evidence lets you see why.
Illustrative dataFictional brands, invented numbers.
ProjectsTallyfernPrompt
Which payroll tool works for a 20-person company?
Search demand Medium
By engine
| Engine | Visibility | Avg. position |
|---|---|---|
| ChatGPT | 70%7/10 | 2.0 |
| Google AI Overviews | 30%3/10 | 2.7 |
| Google AI Mode | 50%5/10 | 2.4 |
Your buyers don't all ask the same assistant, so an LLM visibility tool that watches one engine shows you part of the picture. Aivting tracks the same prompts and competitors in ChatGPT, Google AI Overviews and Google AI Mode on every plan. You can compare them side by side.
ChatGPT
ChatGPT answers buying questions in its own words and can name brands outright, with or without sources. The wording changes between runs, so the same question can recommend a different shortlist an hour later. See how AI visibility tracking records each answer.
Google AI Overviews
The AI summary that appears at the top of some Google results, above the classic links. Being named there counts before anyone scrolls, and whether an AI Overview appears at all depends on the query. See what AI visibility tracking checks for each prompt.
Google AI Mode
Google's conversational search mode, where a full answer replaces the results page and follow-up questions continue the thread. Included in every plan.
One prompt list, one competitor list, every engine. That keeps the comparison honest: if you're named in ChatGPT and missing in AI Overviews for the same question, you know where to look first.
Numbers only help if the person reading them knows what they mean. Aivting shows each result as a plain statement with its evidence: the prompt, the engine, whether you were named, who else was, and the answer itself.
That suits in-house marketers and SEO leads who need to explain AI visibility to people who don't live in it. Agencies can use it the same way for a client's brand. For example, a monthly report line could read "named in 12 of 20 answers this month, up from 9 of 20 last month", with the answers attached. Nobody has to trust a black-box score.
Different readers need different depth. A marketing lead wants the headline: are we named more or less than last period, and than our main competitor? An SEO or content specialist wants the detail: which prompts moved, which sources the answers cited, and which pages to work on. Both read the same results, at the level they need. And when someone asks where a number came from, the answer is one click away instead of a long explanation.
It also changes the conversation. When AI search tracking shows a competitor named first in most answers for your core question, the next step is concrete: read the answers, check the cited sources, and decide which pages to fix. Compare plans and pricing to see which plan fits the number of prompts you need.
ChatGPT, Google AI Overviews and Google AI Mode on every plan. You use the same prompts and competitors in each engine, so the results compare directly.
Rank tracking records a fixed position in a list of links. AI answers have no fixed list: they're written fresh each time, so Aivting measures how often you're named, where, and next to whom.
Marketers who need to know how AI answers present their brand: in-house marketing and SEO teams, and agencies that track a client's brand the same way.
Create your account, add your first prompts, pick your competitors and see where your brand stands in AI answers.