Your AI coverage engine

AI ops audit & coverage engine roadmap

You said to send something worth reviewing before a call. This is it, in the order I would walk it.

Proof you can watch

Every other AI person pitches a chatbot off a video. This page runs the real thing.

The coverage researcher on page 05 and the report writer on page 06 call real APIs against the live web while you watch, scoped to the freight and supply-chain outlets your clients actually care about. Every article it returns is a real, published piece with a working link. Nothing on this page is a slide or a screenshot.

Backed by Powr, a product I built and run solo, and by the fact that a working engineer builds and runs this, not a white-label reseller passing your work to someone else.

Business snapshot

Where LeadCoverage stands today, and what becomes possible when the coverage engine handles the tracking and the formatting.

The hard part of your business already works. LeadCoverage places supply chain, logistics and freight-tech companies in the trade press their buyers actually read, and it has grown fast enough to make the Inc. 5000. You are hiring account managers at two seniority levels across PR, paid media and RevOps, which is what a firm looks like when demand is ahead of capacity rather than behind it.

The placements land. What costs you is everything after they land. Somebody has to find the clip, work out which writer carried it and whether the tone helped, check where the client sits against the two competitors they always ask about, and turn all of that into something a CEO reads in ninety seconds. That work scales linearly with clients, so every new logo buys another slice of an account manager's week before it buys anything else.

Reading the coverage is quick. Finding it is what takes the morning. Meltwater and Cision tell you an outlet mentioned a client. They do not tell you which writer carried it, whether the piece helped, or where the client sits against the two competitors the CEO names on every call. So an account manager reads, sorts and cross-checks by hand. It runs on account-manager time, and it is about 18% of their week.

That work has to happen. The question is how much of it needs a person. Across 6 account managers, that motion runs about 180 hours a month, and at $40 an hour all-in it costs $7,200 a month, or $86,400 a year. No one agent takes all of that back, and none should. Deciding which placement is worth a client's attention, and making the call it earns, stays with your people. What follows is the machine work, split out agent by agent.

You give it a question in plain language, a source list, and optionally a writer. It runs live searches scoped to only those outlets, reads the real results, then goes and fetches each article page to pull the byline out of the page's own metadata rather than guessing at it. It classifies topic and tone, attributes each piece to the company it is about, dedupes, and hands back a structured clip list you can sort. In production it runs on a schedule against your standing client and competitor lists and drops the output into HubSpot. The judgment about what matters stays with the account manager.

• Account-manager hours come back and go into pitching writers and talking to clients, which is the work that renews a retainer.
• Precision below the outlet, by writer, topic and tone, which is the gap the generic monitoring tools leave open.
• Bylines verified against the article page itself, not inferred, so a writer filter returns that writer and nobody else.
• Feeds HubSpot so a clip does not get logged twice in two places by two people.
• It never sends anything to a client. It produces the pull; the account manager decides what leaves the building.

Having the clips is not having the report. Somebody still has to count who got what, notice that one competitor's quarter went sideways, work out which writers are carrying the story, and write the paragraph the client actually forwards to their CEO. It is the least interesting hour in an account manager's month and it is the hour the client judges you on.

This is a slice of the same coverage motion on page 05, not a second cost. What it costs in kind is the shape of the month: the report gets written last, under time pressure, by the person who should have spent that hour pitching. And a report assembled at the end of a long day is where a wrong count gets into a client's inbox.

It takes the clips agent 01 just pulled and writes the client-facing report: the headline read, where the client ranks against the named competitors, what happened to tone, which writers are carrying the story, and what to go after next. The counting is done in code, not by the model, and the model is handed those counts and told it may not state a number that is not in them. Then it writes the paste-ready paragraph for the client email in your account manager's register, not a marketing one.

• The report exists before anybody asks for it, built from the same pull the account manager already has open.
• The counts are arithmetic, not a guess. Clip totals, tone splits and outlet shares are computed in code so the model cannot miscount your client's month.
• Where-you-rank is in the report by default, which is the part clients ask for and the part that usually gets dropped when the month runs out.
• Written to be pasted, in plain language, with the AI tells stripped before it reaches the account manager.
• It never emails a client. It hands a draft to the account manager, who edits and sends it.

Trade press is the part you can see. The rest of the conversation happens where nobody is watching: an analyst note that reframes a category, a LinkedIn post from a Gartner or ARC analyst, a competitor's customer complaining in a logistics group. It gets caught when somebody happens to scroll past it, which means it gets caught late or not at all.

Another slice of the same motion. What it costs in kind is being second to your own client's news. Analyst relations is a service you sell, so an analyst shift that reaches the client before it reaches you is the one thing that makes the retainer feel thin.

A standing watch list of analysts, competitor names and category terms, checked on a schedule. It surfaces what moved, who said it and why it matters to the client, and routes anything that looks like a reputational shift to the account lead the same day. Same grounding rules as agent 01: it links to the real source or it says nothing.

• Analyst movement reaches you first, so the account lead calls the client rather than the other way around.
• One watch list per client, maintained once instead of living in six people's heads.
• Feeds the monthly report, so the analyst and social picture sits alongside the clips instead of in a separate document.
• It never posts or replies anywhere. It watches and it tells you.

The quarterly review is where the retainer gets renewed or questioned, and it is assembled from scratch every time: pull the clips, pull the HubSpot numbers, reconcile the two, rebuild the deck, remember what was promised last quarter. It lands on whoever has the account, in the week they can least afford it.

The last slice of the same motion. What it costs in kind is the quality of the conversation: an hour spent rebuilding a deck is an hour nobody spent deciding what to recommend, and the client can tell which one they got.

It keeps a running quarter for every client, assembled from the coverage engine and HubSpot as things happen instead of at the end. Coverage volume and tone over time, where the client sits against their competitor set, what was committed last quarter and what happened to it, and a first draft of the recommendation. The account lead walks in with a document to argue with rather than a blank deck. It also puts the marketing math on a cadence instead of on demand, which is the argument you make in The Revenue Engine.

• The quarter assembles itself as it happens, so QBR prep is review rather than construction.
• Coverage and pipeline sit in one view, which is the connection clients keep asking PR to prove.
• Last quarter's commitments are carried forward automatically, so nothing quietly disappears between reviews.
• It never presents to a client and never changes a HubSpot record on its own. It drafts; your account lead decides.

The underlying opportunity cost

Here is the whole calculation, agent by agent, so you can check the math instead of taking my word for it.

Where the hourly rates come from

A national average would be the wrong number for an Atlanta firm, so the rate is built from what this role actually pays in your market and then rounded down.

• Account manager, $40/hour all-in. The BLS median for public relations specialists was $74,750 in May 2025, which loads to roughly $50 an hour. I rejected that figure because the national median sweeps in agency principals and in-house corporate communications. The Atlanta postings for this role cluster lower: $61,893 on ZipRecruiter, $59,750 on Salary.com, $56,525 on PayScale. Taking about $60,000 base, loading it, and dividing by 2,080 gives $40.38, rounded down to $40.
• The load factor is 1.4x, from the BLS Employer Costs for Employee Compensation series: benefits and payroll tax run about 30% of total compensation in private industry.
• One rate, not two. All four agents run on account-manager time, so there is a single rate in this model and a single pool. Nothing here is hidden in a second role at a second rate.

So the rate is grounded and deliberately conservative. The hours are still estimates drawn from public information, because we have not spoken yet, and your real numbers replace them the moment you type them into the panel.

Where the value compounds

Phase 1 is one engine with four moving parts. Agent 01 produces the clips agent 02 writes from, so the report costs nothing extra to produce. Agent 03 widens what 01 is watching, which makes 02's report cover the whole conversation rather than the trade slice of it. Agent 04 is the accumulation of all three over a quarter, which is why it is worth least on its own and most once the others are running.

Your complete AI system

Ten agents in three phases, built on HubSpot and your workflows. Phase 1 is where I would start.

What you receive

• The Phase 1 coverage engine, four connected agents built on HubSpot and your workflows.
• Full build and integration, wired into the tools you already run.
• A 30-day hypercare period, active monitoring and tuning as it goes live.
• Documentation and SOPs, plus no lock-in: no long contract and no exit fee, and your data, your accounts and everything the agents produce stay yours.

Next steps

What happens from here, in order.