For agencies that grow D2C brands

How should an agency do prospect discovery for D2C brands?

Good prospect discovery starts from the brands you win best: filter D2C brands by category, city and whether they already run ads, then rank them by visible, fixable gaps, such as missing from AI answers, tired ads, weak site health, unanswered reviews or rivals outspending them. Open every first call with two of those gaps.

70% website health, with 1 critical and 10 high findings · Moolwan · measured from the domain aloneai-dm · 150-page crawl · Sep 2026 · real data

What you'll see in 10 minutes

  1. Your first market scan, filtered by category, city and whether brands run ads.
  2. The matching brands ranked by gap score, each with the gaps behind its score.
  3. Your top picks saved to the pipeline, with an audit building for each.

(login required) · No plan to pick. Billed in USD and INR. No bought lists.

Why do most agency prospect lists go nowhere?

Friday afternoon. The team has 200 brands copied from a directory and no idea which to call first. Each message opens with "we'd love to help you grow", and almost none get a reply. Next month, the same list gets worked again.

A pitch without a reason costs twice. It spends the founder's best hours, and it burns brands you could have won later with a better opening. A brand replies when the first line names a problem it can see in its own marketing. These are the gaps worth looking for.

Visible marketing gaps that make a D2C brand worth pitching, and why each opens a first call
The gapWhat it showsWhy it opens a call
Ads running, but not in AI answersThey pay for attention and still miss shoppers who ask AI assistantsEasy to show: ask the assistant, read the answer together
Search demand, thin pagesBuyers search for what they sell and land on a competitorA list of searches with no page is a ready content plan
The same creative for monthsLong-running ads with falling engagement point to fatigueFresh creative is a quick, visible first win
Weak site healthCrawl errors and missing schema hold back every channelA crawl report is specific and hard to argue with
Reviews left unansweredA weak Maps presence and silence on reviews cost local trustEvery unanswered review is visible to the founder too
Outspent by competitorsRivals run far more ads in the same categoryFounders care about rivals more than about benchmarks

How do you find brands worth pitching, step by step?

Fit first, then budget, then gaps. A brand with a big gap and no budget won't buy, and a perfect fit with nothing to fix won't listen. Work through these six steps and you end with a short list you can call this week.

  1. Define the brands you win

    Write down the categories, cities and price bands where your agency already does its best work. Start from your two best current brands and look for more like them.

  2. Check they already spend

    Brands already running Meta or Google ads have a budget and a reason to listen. The Meta Ad Library and the Google Ads Transparency Center show who is advertising.

  3. Look for gaps you can see from outside

    Check AI answers, search results, how long their ads have run, site health, review replies and rivals' ads. All of it is visible without a login.

  4. Score and rank

    Put the brands with the biggest fixable gaps first, and drop brands outside your fit even when their gaps are large. A short ranked list beats a long one.

  5. Open with their gap

    Write the first message around two specific findings and where you saw them. A brand listens when it recognises its own problem.

  6. Audit before the call

    Build a full audit for the top few, so the first call opens with the prospect's own numbers instead of your credentials.

Before you pitch other brands on AI search, check how your own agency shows up: you can audit your own agency free, and it's the safest first step, because a prospect may run the same check on you.

Which of your prospect brands should you call first?

Rank this week's list in two minutes. Set the categories and cities your agency serves, then tick the gaps you can see for up to five brands. The worksheet scores each brand, marks the ones to pitch first, and writes the opening message for the top pick.

Score your prospect brands

Each gap adds to a brand's score out of 100. A brand needs to fit your agency and already run ads to be marked "pitch first".

  • pitch firstgap score 70 · rank 1 of 5
  • worth a lookgap score 45 · rank 4 of 5
  • big gap, no ads yetgap score 65 · rank 2 of 5
  • outside your fitgap score 55 · rank 3 of 5
  • small gapgap score 15 · rank 5 of 5
5prospects scored
1to pitch first
70top gap score · Glowroot Skincare

call orderPitch first: Glowroot Skincare (gap score 70). Worth a look: Saltwater Body Co (45). Big gap, no ads yet: Mitti Naturals (65). Small gap: Leafline Skincare (15). Outside your fit: Kesar Home.

opening message for the top pick

Hi Glowroot Skincare team, we looked at your marketing from the outside and found two gaps we'd fix first: you don't appear when shoppers ask AI assistants for skincare recommendations, and rivals in skincare are running far more ads than you. We can show you where we saw both in a 15-minute call.

Free, no login. The starting brands are an illustrative example. Gap weights: AI answers and rivals' ads 20 each, the other four 15 each.

Find prospect brands

(login required) · ai-dm finds and scores the brands for you, then builds an audit for each one you save.

How does ai-dm find D2C brands worth pitching?

It searches the market the way you sell. Pick a category, the cities you serve and whether brands already run Meta or Google ads. ai-dm scans the market, checks each matching brand for the six gaps above, ranks them by gap score and shows the gaps behind every score, so your team knows why a brand is on the list before anyone calls.

Prospect discovery · market scan · India · running Meta adsbrands scanned 1,284 · matching 24
Skincare brand · Punescoring…gap score 86not in AI answers · same ad 70+ days
Skincare brand · Delhiscoring…gap score 74site health 58% · thin product pages
Body care brand · Mumbaiscoring…gap score 6941 reviews unanswered
Skincare brand · Bengaluruscoring…gap score 61rivals run 3× more ads
Brands outside the filtersscoring…skipped1,260 of 1,284 didn't match category, city or ads running
Top 4 saved to the pipelinescoring…audits buildingeach audit built from the brand's domain alone

24 matching · top 4 saved · every score shows the gaps behind it

Illustrative example

In this illustrative example, ai-dm scans 1,284 brands for skincare and body care brands in four cities that run Meta ads, and finds 24 that match. The top four score 86, 74, 69 and 61, led by a Pune skincare brand missing from AI answers and running the same ad for 70 days or more. All four are saved to the pipeline with audits building.

From a saved brand to the first call. Every brand you save goes straight to an audit, so you can audit any prospect with its own numbers, and the findings turn into a deck when you build the pitch deck. ai-dm reads only what's publicly visible about a prospect, your pipeline stays private to your agency, and you can check how brand data is protected.

On our own brand. ai-dm measures Moolwan, our D2C home décor brand, the same way it measures a prospect from the outside. Its website health is 70%, with 1 critical and 10 high findings (ai-dm · 150-page crawl · Sep 2026), it ranks #2 of 17 in the Google Maps local pack (ai-dm · Local presence · Sep 2026), and it's named in 1 of 233 tracked AI assistant answers. We show the weak numbers too. You can watch ai-dm run Moolwan.

No bought lists. ai-dm finds brands from what's publicly visible about their marketing, scores the gaps it can show evidence for, and leaves the outreach to your team.

(login required) · Rather talk first? WhatsApp the founder

Questions agencies ask about prospect discovery

How do agencies find D2C brands to pitch?

Start from the brands you already win: the same categories, cities and price bands. Then look for brands that already run ads and have gaps you can see from outside, such as missing from AI answers, tired ads, weak site health or unanswered reviews. Rank them by how big and fixable those gaps are, and pitch the top few first.

What makes a prospect brand worth pitching?

Three things together: it fits the work your agency does best, it already spends on marketing, and it has visible gaps you can fix and prove. A brand with a big gap but no budget, or a perfect fit with nothing to fix, is a weaker first call.

Is it better to pitch brands that already run ads?

Usually, yes. A brand running Meta or Google ads already has a marketing budget and someone who looks at results, so a specific finding gets read. Brands with large gaps and no ads can still be worth a call later, once you've filled the pipeline with the stronger fits.

What is a gap score?

A gap score ranks a prospect from 0 to 100 by how many visible, fixable marketing gaps it has: missing from AI answers, thin pages, the same ad for months, weak site health, unanswered reviews and rivals outspending it. Higher means more to fix with evidence. It's a ranking aid, not a prediction that the brand will buy.

Can ai-dm find local businesses too?

Yes. Local business prospecting finds clinics, studios and stores with a weak Maps presence and unanswered reviews, scored the same way, so agencies that serve local businesses get a ranked list too.

What happens after I save a brand to the pipeline?

ai-dm builds an audit of the brand from its domain: search presence, AI answers, competitor ads, site health, reviews and content gaps, each finding with its source. From the audit it builds a pitch deck under your agency's logo, ready for the first call.

What does prospect discovery in ai-dm cost?

There's no plan to pick. Sign up and pay as you go, then run your first market scan. Billed in USD and INR. Per-brand plans or pay as you go. You can WhatsApp the founder first if you'd rather talk it through.

Find prospect brands

No plan to pick. Billed in USD and INR. No bought lists.

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.

Call the brands with a reason to listen.

Talk to the founder