How Agencies Are Adding $30k MRR With HARO Automation

The Cleanest Upsell You Can Make to an SEO Client

LLMs cite earned media, not owned content. Muck Rack found 82% of AI citations reference third-party media (1M+ citations analyzed). Ahrefs tracked 75,000 brands and found brand mentions correlate 0.664 with AI visibility versus 0.218 for backlinks. HARO placements now matter more than they ever did for SEO.

HARO has always been sold by agencies, but almost always as a line item inside a broader digital PR retainer. Nobody productizes it as a standalone service because the operational load never matches its role on the menu. You have about 25 minutes per pitch, SME coordination, voice-matching, and reporting. That kind of overhead only pays off when HARO sits inside a bigger retainer.

Our system changes that. Once you drop QA to about 3 minutes per pitch and capture the expert's voice once, HARO stops being an operational drain and starts looking like the most profitable line on your menu. $3k to $5k per client, 75% margin.

The average agency has around 20 clients. Sell HARO to half of them at $3k a month and you add $30k in MRR with 75% gross margin. One operator runs it. No new sales motion, no new team, no disruption to what you already deliver.

How to Pitch It and Handle Objections

The Offer

"We can now get your experts quoted in 10 to 15 trade publications a month in your category. That builds the third-party authority that gets you surfaced in ChatGPT, Perplexity, and Google AI Overviews when buyers search for vendors. Your expert gets a Slack message with a few suggested takes, picks one or adds their own angle, and we run with it. About an hour a week of their time. We handle everything else. $3k a month add-on. Want me to set it up?"

If they want more detail, walk them through three things:

1. It is a volume play. One placement does nothing. You need enough mentions to register as a pattern. Fifteen a month for six months gives your client 90 category-relevant mentions across the web. That density is what creates the entity association AI engines use to decide who gets surfaced.
2. Category relevance matters more than publication prestige. AI engines do not care about Forbes's brand. They care that your expert keeps showing up across publications that cover your specific category. That is how entity association works. A mention in a healthtech trade pub signals "this expert belongs in healthtech" far more than a Forbes generalist roundup does.
3. The client does about an hour a week. They get a Slack message with a few suggested takes on open queries. They either approve one or add their own angle. That unique take is all we need to run with it. We handle everything else.

The Seven Objections You Will Hear

"HARO is free. Why are we paying you for it?"

The platform is free. Our system, the voice profile, the scoring layer, and the 3-minute QA process are not. You are paying for leverage, not access. Without our system, responding to 150 queries a month takes 75+ hours of senior writer time. With it, your expert provides their unique take for about an hour a week via Slack.

"We already pay you $X a month for SEO. Why more?"

SEO builds owned content and domain authority. This builds earned media. LLMs weight them differently. Ahrefs data shows brand mentions correlate 0.664 with AI visibility versus 0.218 for backlinks. These are two separate signals, and your competitors who stack both will outrank you in AI search results.

"Can't our team just do this ourselves?"

Technically, yes. The math: about 25 minutes per pitch, 100+ pitches a month to hit volume, 5 to 7% acceptance rate. That is 50+ hours a month of your team's time for maybe 7 placements. Our system collapses that to about an hour a week of your expert providing their unique angle and lands 10 to 15 placements. The labor math does not work in-house.

"How is this different from the PR agency we already use?"

PR agencies pitch stories and manage journalist relationships. This responds to open journalist queries at volume. Different muscle, different output, different cadence. Run it alongside your PR agency, not in place of it.

"Will this actually show us in ChatGPT?"

Not from one placement. Fifteen a month for six months builds the entity pattern. The research shows the correlation is real: Muck Rack found 82% of AI citations reference earned media, and Ahrefs found brand mentions correlate 0.664 with AI visibility across 75,000 brands. Compounding typically starts around month three, with ChatGPT citations appearing by month six.

"What if we only get 5 placements instead of 15?"

Build a placement floor into the contract. Minimum 10 placements per month or you credit the following month at 50%. Our system runs well above that floor in normal months. Clients buy the floor. You deliver above it.

"What about Forbes or Wall Street Journal?"

The goal is not press clippings. The goal is AI visibility. AI engines build entity associations from repeated mentions across category-specific publications. Fifteen mentions in your client's vertical trade pubs create a stronger entity signal than one Forbes quote in a generalist roundup. Forbes is a PR win. Trade pubs are an AI visibility strategy. Different goals, different playbook.

How to Price It

Three tiers work cleanly across a 5 to 10 client book.

Price the outcome, not the labor. The client does not care that our system runs in 3 minutes per pitch. They care about published placements that build their authority. Position the retainer around placement volume and category positioning, not hours.

Never guarantee specific publications. You can guarantee placement volume with a floor like "minimum 10 placements per month or we credit the following month." You cannot guarantee Forbes. Journalists pick the quotes. Setting that expectation up front avoids the "where is my Forbes link" conversation.

Build the annual contract in. HARO compounds over 6+ months. A month-to-month retainer incentivizes clients to quit before the flywheel spins. Offer a 10-15% discount on 12-month contracts. Most will take it, and it locks in the compounding window for both of you.

Charge a one-time setup fee for the voice profile build. $500 to $1,500 upfront covers the intake call, the initial voice profile record, and the first two weeks of calibration. It also filters serious clients from tire-kickers.

The margin math. At Growth tier ($3k/month), your costs are roughly $150 in tooling and about 4 hours of operator time per client per month. Total cost around $500. Gross margin around 80%. Scale tier runs similar margins at higher absolute dollars.

How the Automation Actually Works

Our system handles query sourcing, scoring, and drafting. Your operator manages about 4 hours per client per month: reviewing drafts, routing suggested takes to the expert via Slack, and submitting approved responses. One operator can manage at least 10 accounts. The detailed walkthrough of each pipeline stage is available as a separate resource in the swipe file below.

Get the Playbook

If you would rather have us deploy our system into your agency and help you onboard your first three clients, we offer that as a partner program. Talk to us.