OutreachBloom·AI SEO agencyTL;DR
How OutreachBloom manages all three, and how to know which one is right for you. There have never been more ways to get your brand in front of people — the question isn't which channel, it's where your audience is actually paying attention, and what will resonate once you're there.
There have never been more ways to get your brand in front of people. Organic, paid, cold email, video, everything in between. For most teams the result isn't clarity, it's noise. So the question we keep coming back to isn't which channel. It's: where is your audience actually paying attention, and what will resonate once you're there?
We sat down with Jayson DeMers of OutreachBloom to talk through three channels doing the most work in B2B right now: AI SEO, cold email, and Reddit. We run the infrastructure under a lot of outbound programs, so we see what happens when teams pick the wrong channel for their math, while OutreachBloom helps clients pick the right ones. Here's what stood out on each.
Cold email has always been a core pillar of go-to-market, and when the fundamentals are right it's one of the best channels in B2B: cheap, scalable, and direct.
But here's the part most teams skip: cold email isn't right for everyone, and the deciding factor isn't your copy, it's your math.
We'll say this even though we sell the infrastructure that powers cold email, because watching someone burn a campaign on the wrong market helps no one. Cold email is a volume game. As a rough industry benchmark, one positive reply for every 800 to 1,000 emails only works when your addressable market runs into the tens of thousands. Run those numbers against a few thousand accounts across a couple of cities and you burn the entire list in weeks, never hitting the volume the channel needs. That's not a copy problem or an infrastructure problem. It's a TAM problem, and no rewrite fixes it.
So before you launch a single campaign, the first diagnosis is fit.
Cold email is the right channel when:
It's the wrong channel when:
Once you've confirmed cold email is your channel, getting it right doesn't start with the lead list or the copy. It starts with the infrastructure underneath it: mailboxes, domains, warm-up, DNS, and the inbox placement testing that tells you whether you're landing in the inbox or the spam folder before you scale. That's the part we obsess over, and it's the part that quietly determines whether all the work above it pays off.
That's where Jayson landed with us. He first found InboxKit on Reddit, as it happens, and stayed for the inbox placement testing, the customer service, and a level of professionalism he wasn't getting elsewhere.
In his words:
We run, on average, 20k emails per month for each of our clients. Since switching to InboxKit, we saw reply rates rise around 25%. Reply rates are the deliverable that matters most to our clients, so that metric is our north star. That alone was enough to switch permanently.
That's OutreachBloom's own result with their own lists, not a guaranteed number, but it tracks with what we'd expect when good infrastructure sits under a campaign that already has its targeting right.
First, what it actually is. Traditional SEO ranks web pages in a search engine's blue links so a human clicks through. AI SEO (sometimes called AEO, answer engine optimization) is about showing up inside the answer an AI tool generates, so your brand is cited in the response itself. The buyer often never sees a list of links; they see an answer, and the question is whether you're in it.
The reason it's the hot hand right now is speed. It compresses a timeline that used to take months: surfacing in the AI-generated answers buyers trust before they ever talk to you. When someone researches your category through an AI tool and you're in the answer, that's reach you didn't have to push for.
This is OutreachBloom's strongest service, so we asked Jayson how a brand actually earns its way into those answers. His first point reframed the whole thing: getting picked by AI is mostly an off-site game, not an on-site one.
Most people assume it's about tweaking their own website. That matters, but it's the entry ticket, not the decider. When a buyer asks an AI tool 'what's the best tool for X,' the model cross-checks who gets mentioned across the sources it trusts. The brands in the most places get the recommendation. Your own blog barely moves that, because the model knows you wrote it.
There's research pointing the same direction. Ahrefs studied 75,000 brands and found YouTube mentions showed the strongest correlation with AI visibility across ChatGPT, AI Mode, and AI Overviews, stronger than backlinks or domain authority, which barely correlated at all. (Ahrefs notes this is correlation, not causation; it may reflect that already-strong brands get talked about more.) Either way, the signal is that being mentioned widely, in the right places, is what tracks with showing up in AI answers.
So here's what OutreachBloom actually does, in Jayson's framing:
The durable version of this is slow on purpose. Real mentions, real history, real data about your business.
And measure it properly: run your category prompts repeatedly and track how often you get named, or use a tool that does it automatically.
This is the kind of work that compounds, and it's why OutreachBloom has built AI SEO into a core service.
Reddit is the newest of the three, and in some ways the most valuable. It's where the real reviews and unfiltered strategy conversations live, which is also why it's the easiest to abuse, and Reddit knows it. The platform has tightened filtering hard against comments that read as promotional, and communities that once tolerated brand activity are moderating it heavily.
It's also one of the most-cited sources in AI answers. A Semrush analysis of more than 150,000 LLM citations found Reddit was the single most-cited source at roughly 40%, ahead of Wikipedia, a pattern that holds as of June 2026. That's no coincidence: both Google and OpenAI have signed data-licensing deals with Reddit. So when someone asks an AI "what's the best tool for X," there's a real chance the answer is partly shaped by Reddit threads.
The takeaway isn't to find a clever way around the filtering. It's the opposite: the only approach that works now is genuine, value-added participation that respects each community's rules on self-promotion.
Jayson's signature move here is the cleanest way we've heard it put: don't put your brand in your comments, put it in your username.
The way to get your brand visible on Reddit isn't to mention it in your comments. It's to put it in your username. Something like jayson_OutreachBloom identifies who I am and what brand I represent. I don't need to do anything self-promotional; I just need to be authentic and helpful where I can add value. The username takes care of the brand visibility.
One practical caveat: check each subreddit's rules first, since some have their own norms about brand-identifying usernames. But it's the honest version of brand presence, disclosing affiliation up front rather than hiding it.
The username gets your brand on every comment. The participation behind it is what makes those mentions count, with people and with the AI models pulling from Reddit. In practice that means picking subreddits that fit the business and its buyers, reading each sub's rules, showing up consistently with specific experience-based advice rather than pitches, and starting with threads already ranking in Google for the client's best keywords, which earns visibility in Reddit and in search results. The post history that builds up is what the models cross-check before they trust a source, and what survives when Reddit filters out coordinated spam.
What we never do is the manipulation stuff, no fake upvotes. We build brand equity in a real, authentic way that's durable and withstands future algorithm updates. It's slow on purpose. Real history can't be faked or backfilled in a week, and that's exactly why it works.
These three aren't competing for your budget. They're a portfolio. Each is good at something the others aren't, each fails for its own reasons, and each is moving through its own cycle right now. The quick version:
Cold Email
AI SEO
The teams getting this right aren't betting everything on one. They show up where their audience already is, in the way each platform actually rewards, and they're honest about which channels their math supports.
For our part, we stay in our lane: the infrastructure that decides whether your cold email reaches an inbox. For the rest, making a brand visible across AI SEO, Reddit, and beyond, that's the work OutreachBloom does.
Three specialized tools beat any all-in-one platform on deliverability and cost at scale. This is the canonical setup — data, infrastructure, and sending — that powers campaigns at every stage.
Find & verify B2B emails with 94%+ match rates. 300M+ contacts, phone lookup, and validation — clean leads that never burn reputation on bounces.
Explore Enrich
Mailboxes that land in the primary inbox. Automated DNS, warmup, domain isolation, and InfraGuard monitoring across thousands of sending accounts.
Explore InboxKit
Dedicated IPs on every plan, AI warmup that passes ESP detection, inbox placement testing, and a built-in dialer. The deliverability-first sequencer.
Explore SendKitOne compounding system. Enrich feeds verified leads to SendKit, which sends on InboxKit infrastructure.
Build your stackHow LeadHaste runs cold email infrastructure for 100+ client campaigns, thousands of domains and inboxes, without burning domains: the infrastructure math, monthly rotation, naming conventions, warm-up protocol, and retirement triggers behind the system.
Case StudyA multi-client GTM agency transformed manual mailbox setup into a fully automated, self-service operation. In six months on InboxKit, Anevo Marketing went from zero to 4,361 mailboxes under their own control and cut client setup time from one to two weeks down to one to two hours.
Plans from $39/mo with 10 mailboxes included. Automated DNS, warmup, and InfraGuard monitoring included.
