For agencies that grow D2C brands
How do you monitor every brand you manage without opening every platform?
To monitor brands well, an agency checks ads, search, AI answers, reviews, Maps and competitors for each one, every day. ai-dm does that watching against each brand's own baseline and brings your team only what changed, with the evidence behind it.
No plan to pick. Billed in USD and INR. Nothing changes without your approval.
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Dewleaf Skincare · Metabelow baseline
Cost per purchase ₹412 → ₹569 (+38%) against its 14-day baseline. Likely cause: one ad set's frequency at 4.1. Confidence: medium.
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Terra Brew Coffee · AI searchnot mentioned
Named in 1 of 6 tracked ChatGPT answers this week. Two rivals named in 5 of 6.
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Kora Loom Home · Rivalsnew activity
A rival launched 7 new Meta ads in 48 hours, 5 of them on the same offer.
Who spots the problem first: your team or the brand?
When a brand's founder finds the drop before you do, the next call is about trust, not results. Here are four questions brands ask agencies every week, answered without and with ai-dm.
Your brand asks
Why did our cost per purchase jump over the weekend?
Someone opens Ads Manager on Monday, sees it, and starts digging while the brand waits for an answer.
Flagged on Saturday morning. The change was measured against the brand's own baseline, with the campaigns behind it and a confidence level, before the brand saw it.
Your brand asks
Why is our competitor's ad suddenly everywhere?
Nobody was checking the Meta Ad Library for this brand's rivals, so the answer starts with a search.
You already know which ads launched and when. New competitor ads are captured from the Meta Ad Library every day and sit next to the brand's own.
Your brand asks
Why doesn't ChatGPT recommend us?
It is a question nobody on the team measures, so the honest answer is "we don't know yet".
You can show where the brand stands. ai-dm tracks whether ChatGPT and Perplexity name the brand for its buying questions, and which rivals they name instead.
Your brand asks
Did you see the one-star review from yesterday?
Reviews and mentions get checked when someone remembers, often after the brand has already seen them.
It arrived with the day's signals. New reviews and off-site mentions come in the morning, with a reply drafted for your team to approve.
No plan to pick. Add brands one at a time and see each one's signals the same day.
How much of your week goes into checking platforms?
Most mornings, someone opens Meta, Google Ads, Search Console, the Business Profile and the review sites for every brand, and finds that most of it has not changed.
That checking is invisible cost. It is billed to no one, it grows with every brand you sign, and it still misses the slow changes, like a brand dropping out of AI answers over a month. Put your own numbers into the calculator to see what it costs your agency today.
Moolwan shows the other way. ai-dm watches Moolwan's nine marketing channels every day, and one person spends about an hour each working day reading the signals and approving what happens next.
Billed in USD and INR. Per-brand plans or pay as you go.
Your monthly checking time
Change the numbers to match your agency. The starting values are an illustrative example.
Ready
a month spent opening platforms to look for changes, before anyone acts on one.
Moolwan figure: team, Sep 2026 (real data). Your figures: your inputs.
How does ai-dm decide what is worth your attention?
By comparing each brand with itself, not with a generic threshold. A 20% swing is noise for one brand and a warning for another, so ai-dm learns which is which before it alerts anyone.
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1
Gather
Every signal from the brand's website, search, AI search, ads, social media and competitors is captured and kept as it arrived.
raw capture · meta_ads · 07:02 · kept unchanged
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2
Analyse
The engine builds a private, living model of the brand and reads every signal against it.
brand model · tone, offers, rivals, seasonality
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3
Detect
Changes are measured against the brand's own baseline, so real problems and opportunities stand out from noise.
cpp vs 14-day baseline · +38% · outside normal range
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4
Alert
The team hears what changed, the likely reasons and how confident the engine is, with the evidence attached.
alert · 1 brand · 1 channel · confidence: medium
Readouts under each step: illustrative example.
(login required) · Each alert links back to the raw record behind its number.
What does monitoring look like on a real brand?
Moolwan is our own D2C home décor brand from Bengaluru. ai-dm has watched it every day since before ai-dm had a name, and it shows us the weak numbers as plainly as the strong ones.
One person, nine channels, about an hour a day. ai-dm posts one signal per channel each morning. The person reads the few that matter and decides. Nothing else needs a tab opened.
The amber rows are the point. A monitoring tool that only shows wins is a brochure. Moolwan's Meta ROAS sits below benchmark and its AI assistant mentions are low, and ai-dm raises both every day until they move. You can inspect every Moolwan number with its source and date.
No login needed.
| Number | What it is | Source and date |
|---|---|---|
| 9 | Marketing channels watched daily, run by one person in about an hour each working day | Team · Sep 2026 |
| 344k | Impressions in Google's AI results | Search Console · Generative AI features · 25 Jun–23 Sep 2026 |
| #2 of 17 | Position in the Google Maps local pack among nearby competitors | ai-dm · Local presence · Sep 2026 |
| 368 | New users arriving from ChatGPT | GA4 · First user source · 29 Jun–26 Sep 2026 |
| 2.13× | Meta ROAS on ₹28,064 spend, below a 4× e-commerce benchmark | ai-dm · Paid ads · 30 days to 26 Sep 2026 |
| 1 of 233 | Tracked AI assistant answers that name Moolwan | ai-dm · Sep 2026 |
| 70% | Website health, with 1 critical and 10 high findings | ai-dm · 150-page crawl · Sep 2026 |
real data Moolwan's own accounts · bot traffic excluded
What do you want to watch first?
Each part of monitoring has its own page, with the checks to run and how ai-dm runs them for every brand you manage.
- every brand
Run every brand from one dashboard
Start the day with what changed across all your brands, not with a stack of logins.
See the morning view → - daily
Get daily change alerts
Hear about a drop the day it starts, measured against the brand's own baseline.
See how alerts work → - meta ad library
Track competitor ads
Know which ads a brand's rivals launched this week, and which ones they keep running.
See competitor tracking → - chatgpt · perplexity
Track AI search visibility
Find out whether AI answers name the brand for its buying questions, or name its rivals.
See AI search tracking → - reviews · mentions
Track reviews and mentions
See new reviews and off-site mentions the morning after they appear.
See review tracking → - maps · local pack
Track local pack rank
See where the brand sits in the Google Maps local pack across its area, against nearby rivals.
See local rank tracking → - crawl · search
Audit site and SEO health
Catch broken pages and slipping rankings before they show up as lost traffic.
See the SEO audit → - connections
Connect every channel
Meta, Google Ads, GA4, Search Console, Business Profile, LinkedIn, Pinterest, X and the website.
See every connection →
What would ai-dm flag for your brand today?
Enter one brand's domain. ai-dm builds its first report from the domain alone: search, AI search visibility, competitors and website health. Connect accounts later to watch more channels.
Rather talk first? WhatsApp the founder
Questions agencies ask about monitoring brands
What does it mean to monitor brands as an agency?
Monitoring brands means checking every channel of every brand you manage for changes that matter: ad costs, search and AI search visibility, competitor ads, reviews, mentions, local rank and site health. ai-dm does that checking every day against each brand's own baseline and brings your team only what changed, with the evidence behind it. Start with one brand's domain to see the first report.
Which channels does ai-dm monitor for each brand?
Live today: Meta (Facebook, Instagram and Meta Ads), Google Ads, GA4, Search Console, Google Business Profile and reviews, LinkedIn, Pinterest, X and the brand's website, plus competitor ads from the Meta Ad Library, off-site mentions, SEO and AI search visibility in ChatGPT and Perplexity. Coming next: HubSpot, Zoho, landing pages with lead capture, call tracking and WhatsApp. Moolwan runs nine channels this way with one person.
Do I need to connect a brand's accounts before monitoring starts?
No. From a domain alone, ai-dm builds the brand's first report and starts on SEO, AI search visibility and competitor research. Each account you connect afterwards opens more channels to watch. Enter a domain to see what ai-dm finds before you connect anything.
Does ai-dm change anything in a brand's accounts?
No. ai-dm watches, alerts and recommends. Nothing changes in a brand's ad accounts, profiles or pages until a person on your team approves it, and every approved decision is recorded. That is how Moolwan runs: one person reads the day's signals and decides.
Will an alert tell me why a number moved?
Each alert carries what changed, the likely reasons, a confidence level and the raw records behind the number. ai-dm does not build attribution models, so it never claims one channel caused a sale. It shows the evidence and leaves the call to your team.
How is ai-dm priced if we monitor many brands?
Billed in USD and INR. Per-brand plans or pay as you go. There is no plan to pick before you start: sign up, pay as you go, and add brands as you need them. Talk to the founder on WhatsApp if you want to plan a larger roster first.
Is each brand's data kept separate?
Yes. ai-dm builds a private model for each brand, and one brand's data is never shown to another. A brand's data can be deleted on request. Ask the founder on WhatsApp if your agency needs this in writing for a brand.
Nothing goes live without your approval. A brand's data is deletable on request.
Win the why.™
Every number that moves has a reason. Dashboards show what happened; they rarely show why. Without the why, teams guess, act late and lose trust. ai-dm exists to win the why for every brand, every day: to find the reason behind every change, prove it with evidence, recommend the next move and check that it worked. Then it starts again, because the why keeps changing. When you win the why, you stop guessing and start growing. That is why we exist.
Gather. Analyse. Detect. Alert. Recommend. You act. Monitor. Learn and repeat. Always on.
Have the answer before your brand asks.