AI brand monitoring
I re-run your frozen prompt set every month across the same platforms and languages, log what changed, and tell you which movements are real and which are the normal variation between runs. You get the log, not a dashboard — so the numbers can be checked rather than trusted.
100
+Completed projects
Websites, landing pages and SEO projects for businesses in different niches and markets.
15
Years of experience
Hands-on experience in SEO, website development and digital strategy.
17
+Industries covered
From local services and startups to real estate, e-commerce and B2B projects.
3
Working languages
English, Polish and Russian — with content and structure adapted to each market.
What AI brand monitoring includes
The same frozen prompt set, every month
Same prompts, same clean sessions, same platforms, same languages, roughly the same date. Nothing gets "improved" between runs, because a changed set makes the comparison meaningless.
Four numbers tracked
Presence rate — how many answers name you. Error count — how many contain something wrong. Cited sources — which pages the assistants actually used. Assistant referral traffic — whether any of it produces visits.
Per-language reporting
Presence counted separately for each language rather than averaged. A single blended figure hides the common case: correct and visible in one language, absent in another.
External events logged beside the data
Model updates, competitor activity, coverage about you. Without this the numbers get misread — your own work credited for someone else's movement.
Alerts on the three things that matter
A new factual error appearing, presence dropping across several platforms at once, a competitor appearing where they previously didn't. Everything else waits for the quarterly read.
The log handed over, not locked in a dashboard
You get the spreadsheet, the screenshots and the frozen prompt set. If we stop working together, the measurement continues without me.
Why AI brand monitoring is a slow measurement and should be sold as one
The uncomfortable part first: this measures something that moves slowly. The first three months produce a baseline and very little else, because the natural variation between runs is large enough to swallow any real change over a shorter period.
I'd rather say that before you subscribe than explain it in month two. Anyone promising visible movement sooner is selling optimism, and optimism is easy to sell in a field where the client can't easily verify the claim.
What actually changes month to month
Corrections landing. A source you fixed gets recrawled and the wrong claim disappears from one platform, then another a few weeks later. That's the most satisfying thing monitoring catches, and it's also the thing that would otherwise go unnoticed.
New errors appearing. Something wasn't there last month and is now — usually because a new source appeared or an old one resurfaced. Caught early, it's one page to fix; caught late, it's been copied.
The competitive set shifting. Who else gets named alongside you, and whether that list is changing. It's often the earliest signal that someone in your market started publishing seriously.
What I won't put in the report
Sentiment scores. At the volumes a single company can measure by hand, sentiment scoring is noise dressed as rigour.
Share-of-voice percentages. Same problem, plus they invite comparison against benchmarks nobody can verify.
Screenshots of flattering answers. Anyone can find one by running enough prompts. Presenting one as evidence undermines the credibility of the numbers that are real — which is the whole point of keeping a log.
Who this isn't for
If nothing has been fixed yet, monitoring measures a stable situation and tells you it's stable. Do the audit, fix what's fixable, then start measuring. Buying monitoring first is paying to watch a number that isn't moving because nothing has been done to move it.
This is one of four services under AI-Ready SEO & GEO, the broader work of making a business legible and accurate to AI search.
How AI brand monitoring runs
The set is frozen
If an audit was done, its prompt set carries over unchanged. If not, we build one and freeze it — that's the first month's work.
Monthly run
Every prompt, every platform, every language, in clean sessions, on roughly the same date. Screenshots kept for anything named or wrong.
Reading and alerts
The four numbers logged, external events noted alongside them, and anything meeting the alert criteria sent to you when it appears rather than at month end.
Quarterly read
Three months in, the trend becomes readable. That's when the report says something beyond "here are this month's numbers".
