How we simplify search
The search landscape is chaos right now.
Two search engines, five LLMs answering differently, and buyers who still click blue links. Below is everything that decides whether one of them finds you. Nobody signed up to monitor all of it — so we put it in one dashboard.
Who writes the pages
Owned content
First-party
Your site & landing pages
Docs, blog & guides
Earned & paid content
Third-party
Review roundups & comparisons
News, trade press & sponsored
Social content
Third-party
Forums & communities
Social posts & video
One pool of pages
Everything that ranks, gets quoted, or both. Yours and everyone else's.
Ordered by the search engines
LLMs mostly don't crawl the web for each question — they run a search and read what comes back near the top. Which index they search depends on the LLM.
And that ordering feeds both
Ten blue links
The results themselves. Still where a large share of buyers go, and still where the click comes from.
AI answers
A paragraph built from three or four pages that came back near the top.
Where your buyer ends up
They read the answer
You were named, or you weren't. No visit either way.
They still buy. You just don't get to watch them decide.
Or they click through
Usually onto one of the same pages. Often yours.
The visit and the conversion you already track.
And both end in the same place
A customer — or a competitor's customer
Same decision, reached two ways. Only one of them lands in your analytics, which is exactly why the other one has to be measured somewhere.
It's one system, not three channels. LLMs search before they answer, so the page that ranks is the page available to be quoted — and whichever way the buyer goes, it ends at the same sale. Nothing in a normal stack sees the whole of that.
Seen inSearch Console · Bing Webmaster Tools · five LLMs · GA4
Monitor AI and traditional search in one dashboard.
It's one system. Measuring it isn't — and that gap is where the hours go, and where the answer to “did that work?” quietly stops existing. Nothing to reconcile, nothing to take on faith.
Today
10 places to look, none of which know about each other.
rankings
different numbers
asked by hand
asked by hand
asked by hand
asked by hand
screenshotted
traffic, separately
where it gets reconciled
picked by instinct
Different date ranges, different definitions, no way to tell whether the thing that moved here caused the thing that moved there.
Here
One account, one period, one page.
Rankings, clicks and what moved — Google and Bing side by side.
The prompts, the citations behind them, and who else got named.
Sessions, conversions, and the visits that arrived from an answer.
Same dates, same pages, every number labelled with where it came from. A move in one row is checkable against the others.
So why measure them together?
- /guides/zero-based-budgetingcited in 14
- /blog/sinking-fundscited in 11
- /compare/ynabcited in 8
- /pricingcited in 5
One page, two results.
A page you push up the rankings becomes a page LLMs reach for. Same page, same effort — but measured in two products it reads as two unrelated wins.
- 1reddit.comthird-party28
- 2ledgerly.comyou24
- 3nerdwallet.comthird-party21
- 4ynab.comcompetitor17
- 5forbes.comthird-party12
Your outreach list already exists.
The domains LLMs keep citing in your category are exactly the ones worth pitching. That list is in the citation data, not in a PR tool.
Google + Bing
4 LLMs
One report, one date range — so a rise in citations can be checked against whether anyone actually arrived.
Clicks still pay the bills.
AI visibility on its own is a vanity number if the traffic and conversions sit somewhere you can't see. Same page, same period.
Simplify your monitoring.
Google and Bing rankings, the prompts and citations behind AI answers, and the GA4 numbers underneath both — on one page, over one date range, every number labelled.

Google
Bing
ChatGPT
Claude
Gemini
Perplexity
Search Console · Bing Webmaster Tools · five LLMs · GA4