A comms leader gets a Slack from their CEO on Monday morning:
"Are people buying our new AI positioning, or are we still getting lumped in with everyone else?"
That sounds like a simple question.
It is not.
The old workflow gets you part of the way there. Open the monitoring tool. Pull the clips. Check volume and sentiment. Read the top-tier articles. Scan for competitor mentions. See whether reporters are using your framing or the old category language. Check social, podcasts, and analyst notes if there is time. Then someone turns it into a doc.
Maybe it is a good doc. But the CEO did not ask for a clip report. They asked whether the strategy is working.
A summary tells you what happened. A strategic readout tells you what to do next. Those are different jobs, and most tooling was built for the first one.
What has changed about the questions comms teams are being asked by leadership?
Leadership stopped asking "did we get coverage?" and started asking "is the strategy landing, and what do we do next?" The questions moved from outputs to outcomes. A summary tells you what happened. A strategic readout tells you what to do next. Those are different jobs, and most tooling was built for the first one.
What is market sensing and how is it different from coverage tracking?
Market sensing analyzes coverage across your company, competitors, and category to read where the conversation is moving: what narratives are gaining traction, where risk is forming, and where there is whitespace to own. Coverage tracking explains the past. Market sensing turns the market conversation into a strategic readout.
Why is a generic AI summary not enough for strategic comms decisions?
A chatbot can recap public text, but it does not know your messages, competitors, executives, priority publications, or what good coverage looks like. Without that context, an answer can be accurate and still useless for a decision. The comms question is not "what does this coverage say?" It is "did our message land, who repeated our framing, and where are competitors getting credit instead?"
What is the difference between outputs and outcomes in comms measurement?
Outputs are clips, mentions, reach, and dashboards. Outcomes are whether coverage changed understanding, landed a message, shaped perception, created risk, or opened an opportunity. AMEC has pushed the industry toward outcomes for years. The limit was never the judgment. It was the human bandwidth required to read across the whole market.
What does comms judgment actually need to operate at market scale?
The judgment stays the valuable part: the taste, context, diplomacy, strategic instinct, and read on what leadership actually needs. What changes is the evidence base. Instead of operating article by article, that judgment gets to operate at market scale. The goal is not that AI does your job. It is that your judgment finally has the full coverage picture to work from.
"Did the message land?" is not "did we get mentioned?"
A company can show up in a story without its intended positioning coming through at all. The mention happens. The message does not. That gap is invisible if you are only counting clips, and it is exactly the gap leadership now cares about.
So the job quietly expanded. Comms teams are no longer being asked only for clips, dashboards, or recaps. The questions got bigger:
None of that is answerable from your own coverage alone.
This is not a story about comms teams doing it wrong. A lot of excellent work has been done by smart people reading coverage, spotting patterns, and turning messy public signal into advice for leaders.
The problem is bandwidth. The volume of coverage and commentary keeps expanding: news, social, podcasts, broadcast, newsletters, analyst notes, creator posts. There are only so many hours in the day, and you can only read so many articles. So teams made the rational tradeoff and focused on their own coverage first. Did we get mentioned? Was it positive? Did the CEO quote make it in?
That work still matters. It is just no longer the whole job. (If your team is feeling the volume problem specifically, we wrote about when media monitoring becomes media overwhelm and how to cut through it.)
The questions comms teams are being asked have changed. The tools, mostly, have not.
| Coverage Tracking | Market Sensing |
|---|---|
| Did we get coverage? | Did the message land? |
| Was sentiment positive? | Who saw the negative coverage? |
| Where did we show up? | Where are competitors getting credit? |
| What happened this week? | What should leadership do next? |
Coverage tracking explains the past. Market sensing turns the market conversation into a strategic readout.
Generic AI summarization helps, but only up to a point. You can paste a few articles into a chatbot and get a clean recap. A recap is not a strategic readout.
Generic AI sees text. The strategic answer needs text plus your comms operating model.
A comms operating model is the context a team uses to decide whether coverage is strategically useful: your messages, competitors, spokespeople, priority publications, products, topics, audience, goals, and definition of good coverage. Run coverage through that model and the output stops being a recap and starts being an evaluation.
Message pull-through is the clearest example. A generic summary might say "Acme launched a new AI product." The comms question is sharper:
That is not summarizing coverage. It is evaluating coverage against the strategy you configured, which is the difference between a recap and an answer you can defend in front of leadership.
The strategic answer comes from adding company-specific context, not just summarizing more coverage.
This lines up with where comms measurement has been heading for years. AMEC, the International Association for Measurement and Evaluation of Communication, has pushed the industry past outputs toward outcomes and impact for a long time.
Outputs are clips, mentions, reach, dashboards. Outcomes are whether coverage changed understanding, landed a message, shaped perception, created risk, or opened an opportunity. Outcomes were always harder to measure because they need more context and more human analysis. AI makes that shift practical, because the analysis no longer has to stop at whatever your team had time to read. (We went deeper on this in PR measurement beyond media hits.)
The pattern in buyer conversations is consistent. Teams already have monitoring tools. They can find mentions, pull clips, build dashboards. The questions they actually need to answer are about narrative, competitors, market movement, and what to do next.
Before a launch, you should not be limited to scanning your own coverage and a few competitor stories someone flagged in Slack. You should be able to ask:
Two pieces of this matter most.
The Market Landscape Report is for broad market sensing. It analyzes the wider industry conversation, including competitor and category coverage that may never mention your company, and turns it into trends, narrative gaps, emerging risks, whitespace opportunities, and recommended actions.
The Delve Connector is for the ad hoc executive question. Instead of logging into several tools, copying article text, and pasting it into a generic chatbot, you ask the real question ("are people buying our new AI positioning?") and get an answer drawn from the messages, competitors, topics, publications, and trends your team already configured.
Neither exists because comms teams were missing something obvious. The limit was never the judgment. It was the human bandwidth required to read across the whole market.
The judgment is still the valuable part: the taste, context, diplomacy, strategic instinct, and read on what leadership actually needs. AI does not replace that.
What changes is the evidence base. Instead of operating article by article, your judgment gets to operate at market scale.
The promise is not that AI does your job. It is that your judgment finally has the full coverage picture to work from.
If you are a comms leader feeling pressure from leadership on AI, tooling, and answering more strategic questions with the same number of hours in the day, that is exactly the problem we are building for at Delve.
What is market sensing in communications?
Market sensing analyzes coverage across your company, competitors, and category to read where the conversation is moving. It goes beyond tracking mentions to ask what narratives are gaining traction, where risk is forming, and what the team should do next.
How is market sensing different from media monitoring?
Media monitoring helps teams find and track coverage. Market sensing helps teams interpret it in context. Monitoring answers "what happened?" Market sensing answers "what does this mean, where is it going, and how should we respond?"
Why is generic AI summarization not enough for comms teams?
A chatbot can recap public information, but comms teams need answers grounded in their strategy: key messages, competitors, executives, tracked topics, priority publications, and a definition of good coverage. Without that context, a summary can be accurate and still not useful.
What is a comms operating model?
It is the context a comms team uses to judge whether coverage is strategically useful: messages, competitors, spokespeople, priority publications, products, topics, audience, goals, and reporting workflows. Analyzed through that model, coverage becomes a readout instead of a recap.
What is message pull-through?
Message pull-through measures whether the message you wanted to land actually appeared in coverage. It is different from counting mentions. A company can be mentioned without its intended message coming through, so pull-through shows whether positioning is reaching the market.
How is message pull-through different from share of voice?
Share of voice measures how often you appear versus competitors. Message pull-through measures whether your intended message appears in the coverage. Share of voice tells you that you showed up. Pull-through tells you the coverage did strategic work.
Does AI replace comms judgment?
No. Judgment stays the valuable part: knowing what matters, what leadership needs, which risks are real, and what action is credible. AI's role in market sensing is to give that judgment a larger, better-structured evidence base so it can work at market scale.
Why does competitor coverage matter if it does not mention my company?
Competitor and category coverage shows where the market is moving before it reaches your own mentions. It reveals which narratives competitors are earning credit for, which topics journalists are starting to care about, and where you have room to lead.
How should comms teams get started with market sensing?
Define the context that matters: key messages, competitors, executives, priority publications, core topics, and the strategic questions from leadership. Then analyze coverage through that lens instead of treating every mention the same.
Delve builds media intelligence for comms teams who are asked for strategy, not just clips. Coverage is analyzed through your messages, competitors, topics, and definition of good, so the output is a recommended action, not another recap.
