Competitive and market landscape digests
A standing automation that watches your competitors and your market on a fixed schedule, then writes a short, sourced digest your marketing team actually reads instead of hand-collecting links every week.
Tools you'll use
A competitive and market landscape digest is a short, recurring brief on what your competitors and your market are doing, pulled together from many sources so your team does not have to gather it by hand.
The point is not to replace the analyst's judgment. The point is to remove the manual collection that eats the week. More teams are now using AI for exactly this kind of work: Crayon's 2025 State of Competitive Intelligence report found a 76% year-over-year jump in AI adoption among competitive intelligence teams, with 60% using it daily, most often to summarize content and sift large amounts of data.
For a Marketing team the payoff is concrete. You react faster to a competitor's launch or price change, you keep sales battlecards current, and your positioning decisions rest on what is actually happening in the market rather than a stale snapshot. The analyst still decides what matters. They just start from a finished draft instead of a blank page.
Moriva's take
This clears all three gates. Gate 1, real work: marketing already does this collection by hand every week or month, so the workflow exists. Gate 2, owned: it builds as plain scripts and prompts your team can read, edit, and re-run without us. Gate 3, measured: track the hours spent gathering before and after, plus whether the digest gets read and acted on. Keep a human reviewing the draft before it ships, since the agent can misread a source or overstate a "shift" that is just routine noise.
How do you competitive and market landscape digests?
- 1
Write down the sources and the cadence first
Before any tool, list the 8 to 15 sources that actually matter: each competitor's blog, news/press page, pricing page, and LinkedIn; a couple of industry news sites; and any analyst or review sources you trust. Prefer RSS or news feeds where they exist, because feeds are stable and do not break when a site gets redesigned. Decide the rhythm now (weekly is common for fast markets, bi-weekly or monthly for slower ones) and who the digest is for.
- 2
Have the tool build the collector against your real list
Point Claude Code or Codex at a fresh folder, hand it your source list, and describe the job in plain English: pull new items since the last run from these feeds and pages, store the raw text with its URL and date, and skip anything you have already seen. The tool writes and runs the scripts; you get working code you own. Insist it pull only public pages, respect each site's robots and terms, and run gently so it never hammers a server.
- 3
Have it write the summarizer and the digest format
Next, describe the output you want: group items into your sections, keep each entry to two or three plain sentences, and attach the source link to every single claim. Give it one example of a digest entry you would actually send so it matches your voice. The summarizing step should be told to quote or link rather than infer, and to flag anything it is unsure about instead of guessing.
- 4
Run it once by hand and red-pencil the output
Trigger a single run and read the result like an editor. Check that every claim traces to a real source, that nothing is invented, and that 'positioning shift' items are genuine and not routine noise. Feed your corrections back to the tool in plain English ('drop low-signal reposts', 'always include the competitor name in the headline') and have it adjust the prompt and code. Repeat until two consecutive runs need no edits.
- 5
Put it on a schedule and route it where people read
Once the output is reliable, have the tool schedule the run for your cadence and deliver the digest to the channel your team already uses (an email, a Slack post, a shared doc). Keep a one-step human approval before it goes wide for the first month: the agent drafts, a person skims and sends. This keeps you fast without letting an unreviewed claim reach the whole company.
- 6
Keep a non-coder owner with Claude Cowork
Not everyone who owns the digest will want to touch the scripts. Use Claude Cowork so the marketing owner can do the editorial work themselves: paste the week's raw items and have it draft the digest, compare this month's competitor messaging against last month's, or pull a quick deep-dive on one competitor's launch. The automated pipeline does the heavy collection; Cowork lets a non-coder shape and extend the read without waiting on engineering.
- 7
Measure it and prune the sources quarterly
Log how long the manual version used to take and confirm the new time is near zero for collection. Track whether the digest is opened and whether items lead to action (a battlecard update, a campaign tweak, a pricing response). Each quarter, cut sources that never produce signal and add ones you keep checking manually, so the digest stays sharp instead of bloating.
What could go wrong (and how to handle it)
The agent invents or misattributes a claim (a fake price change, the wrong competitor).
Require a source link on every entry and tell the tool to quote or link rather than infer. Keep a human review step before the digest ships, and spot-check links during the first month of runs.
Scraping a site against its terms of service, or hitting a page that requires login.
Pull only public pages, honor robots directives and each site's terms, and never bypass authentication. Prefer official RSS and news feeds. Facts like public prices are low-risk; copy and creative content should be linked, not republished.
Overloading a competitor's server with too many rapid requests and getting blocked.
Have the tool rate-limit requests, run on a schedule rather than continuously, and cache what it has already fetched so it only pulls what changed since the last run.
Noise drowns the signal: routine reposts and minor updates flagged as major shifts.
Define what counts as signal up front (launches, pricing, positioning, funding, leadership) and have the tool rank or filter by it. Prune low-value sources every quarter.
Over-automation: the team stops thinking and treats the digest as the final word.
Keep the analyst's judgment in the loop. The digest gathers and drafts; a person decides what it means and what to do. Present it as input to a decision, not the decision.
Capturing personal data from social profiles or review sites and creating a privacy problem.
Collect company and product facts, not individuals' personal data. If a source includes named people, keep only what is publicly relevant to the market move and avoid storing personal identifiers.
Prompts to get started
FAQ
Is this just a worse version of a paid competitive intelligence platform?
It is a different trade-off. Platforms give you a polished product but you rent it and you fit your process to their tool. This version is built around your exact sources and your team's voice, it costs you the build time plus the tool you already use, and you own the code. Many teams run a lean owned digest and add a paid platform only if and when scale demands it.
Will it make things up?
It can, like any AI, which is why the design forces a source link on every claim, tells the summarizer to quote rather than infer, and keeps a human reviewing the first month of runs. Treat the source links as the safeguard: if a claim has no link or the link does not support it, it does not ship.
Is scraping competitors legal?
Collecting public, factual information like published prices and blog posts is generally low-risk when done responsibly. The lines to stay inside are clear: do not bypass logins, honor each site's terms and robots rules, do not overload servers, and link to copyrighted content rather than republishing it. We build the automation to respect all of these by default, and we prefer official feeds where they exist.
Do we need an engineer to run this?
To build it you point one of the agentic tools at the task and it writes the scripts; that is well within reach of a technical-leaning marketer in a focused week. To run and own it day to day you do not need to code: the pipeline runs on a schedule, and a non-coder can do the editorial and analysis work in Claude Cowork. The whole point is that your team can run, fix, and extend it without us.
How do we know it is worth it?
Measure three things: the hours your team used to spend gathering (this should drop to near zero), whether the digest actually gets read, and whether items in it lead to action like an updated battlecard or a faster response to a competitor's move. If the digest is not being read or acted on, fix the sources and the format before adding more automation.
Sources
- 76% year-over-year increase in AI adoption among competitive intelligence teams, with 60% now using AI daily — Crayon, 2025 State of Competitive Intelligence
More from Marketing
Repurpose long-form content into multi-channel assets
Turn one substantial piece of content, such as a webinar, report, or blog post, into a week of channel-ready posts, emails, and clips, with your team owning the workflow and reviewing every draft before it ships.
Data-driven SEO and GEO content briefs and drafts
Point an agentic tool at live search results and your own analytics to build content briefs grounded in real ranking data, then produce first drafts your writers finish. The brief generator becomes a script your team owns and reruns every week.
Prep renewals and spot upsell openings
Build a repeatable agent that pulls usage, support, and account data into a per-customer renewal brief flagging churn risk and concrete upsell openings, 90 days ahead of each renewal date.
Want help shipping this?
We'll build it with your team on your real work — and leave you owning it, not renting it.