When buyers are comparing their options, does AI recommend you?
See which recommendation prompts name you, which name a competitor instead, and how that changes week to week.
Prompt Monitoring · Commercial
LiveThe answers buyers get when they compare budgeting apps — and whether Ledgerly is one of the names.
Source: your tracked prompts, checked across ChatGPT, Gemini, Claude and Perplexity.
Appearances over time
Tracked prompts Ledgerly is mentioned in, per crawl
Mentioned in
38 of 72prompts checked mention Ledgerly
Cited in
21 of 72tracked prompts cite ledgerly.com
Your citations
94times ledgerly.com was cited across tracked prompts
Note: These figures cover only the 72 prompts you track, not every possible AI query.
You vs competitors
Every brand named in the AI answers across your tracked prompts, you included, counted the same way
Prompt Monitoring on the commercial lens, sample account. The intent chips work — this is the product, not a picture of it.
Does AI recommend your brand to customers?
Type a domain and we'll run the same check against it. No account, no card.
Being named is the whole outcome.
On a recommendation prompt there is no partial credit. Either the answer said your name or it said somebody else's, and every panel here counts that one thing — across platforms, against competitors, and over time.
38 of 72 prompts
Appearances over time
How many of your commercial prompts return an answer that names you, checked on a schedule so you can see it move rather than guess.
- 1YNABin 51
- 2Ledgerly (you)in 38
- 3Monarch Moneyin 34
- 4Rocket Moneyin 27
- 5Copilotin 19
You vs competitors
Every brand the answers named, you included, counted exactly the same way. You sit wherever you actually sit.
“best budgeting app for couples”
A few worth comparing: Ledgerly, YNAB and Monarch Money. Ledgerly handles shared household budgets without a second subscription.
The answer itself
The recommendation as the buyer received it, so you can see how you were framed and who you were framed against.
best budgeting app for beginners
recommended YNAB
cheapest way to track spending
recommended Rocket Money
free alternatives to YNAB
recommended EveryDollar
apps that sync with multiple banks
recommended Monarch Money
Not named in
The prompts where a competitor was recommended and you were not. This is the list that turns into work.
- YNABin 24 of 38
- Monarch Moneyin 18 of 38
- Rocket Moneyin 11 of 38
- Copilotin 7 of 38
Named alongside you
Who keeps appearing in the same breath as you. Often not the competitors you track internally.
- in 38
- in 31
- in 26
- in 20
By platform
The LLMs disagree. Being the default recommendation on one and invisible on another is a different problem from being weak everywhere.
How it works, end to end.
Step one
You choose the buying questions.
The sentences people actually type when they are close to a decision — “best X for Y”, “alternatives to Z”, “is A or B better”. Tag them commercial and they get their own view.
- Whole prompts, not keywords
- Tagged by intent, so buying questions are scored as buying questions
- Checked across ChatGPT, Claude, Gemini and Perplexity
Prompt Monitoring
200 prompts · checked on your schedule
121 of 200 prompts
Up from 88 eight checks ago
Prompts
Step two
We count who got named.
Every brand in every answer, counted the same way — including yours. No weighting that flatters the account holder, because a competitor table you cannot trust is worse than no competitor table.
- Named, cited, or absent — three facts, not a score
- Competitors discovered from the answers, not from a list you maintain
- Counts, never a share-of-voice percentage
24 prompts citing example.com
Monthly AI searches
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880/mo Trackcheapest way to monitor brand mentions in ChatGPT
720/mo TrackStep three
You check it against real demand.
Recommendations sit next to Search Console and GA4, so you can tell whether getting named more often is turning into anything. Sometimes it is not, and you should be able to see that too.
- Search Console and Bing Webmaster, connected read-only
- GA4 sessions from AI platform referrals, split by AI platform
- One report rather than three tabs and a spreadsheet
Search performance
Last 30 days
Clicks
12,480
−18%
Impressions
486k
+4%
Avg. CTR
2.6%
−0.6
Avg. position
8.4
+0.3
Frequently asked questions
We don't — the answers do. Every brand named in an answer to one of your tracked prompts is counted, whether or not you consider them a competitor. That regularly surfaces companies teams weren't watching, which is usually the useful part.
Share of voice is a ratio built on a denominator we chose, and changing the prompt set changes the number without anything real changing. “Named in 38 of 72” can be checked by opening the prompts. A percentage cannot be checked by anyone, including us.
Not directly, and be careful with anyone who says otherwise. What you can do is see which prompts you're absent from, what the answers were built from, and who is being named instead — then go and be the thing those answers are built from. That's slower than a switch and it's the honest version.
No, and the distinction matters most here. An answer can cite your page as a source while recommending a competitor by name. We count them separately so a citation win isn't mistaken for a recommendation win.
Weekly by default. Recommendation answers move week to week rather than day to day, so a daily check mostly buys noise. You can run one by hand whenever you want to know.