Make + Linkeddit
Automate competitive intelligence in Make with Claude and Linkeddit
Competitive intelligence automation in Make means a scenario that delivers competitor findings to your team without anyone opening a dozen tabs. The Make connector lets Claude list and run those scenarios. Linkeddit supplies the findings: competitor moves with a priority and a source link on each. Claude reads the week's moves, filters out the noise, and runs your scenario with the message. Claude does not run on a timer, so you start it each week.
Updated 2026-10-29
Connect both
Your AI client sits in the middle. Linkeddit supplies the data; the other connector makes the change.
Linkeddit connector
Add https://mcp.linkeddit.com/mcp as a connector and sign in. Claude Code: claude mcp add --transport http linkeddit https://mcp.linkeddit.com/mcp.
Make connector
- Add the Make connector in Claude and sign in with OAuth at https://mcp.make.com/v2. Choose the scopes carefully: running scenarios and reading their executions are enough for this workflow.
- Add the Linkeddit connector at https://mcp.linkeddit.com/mcp.
- In Make, build an on-demand scenario with one text input for the message and a module that posts it to a Slack channel or a Notion page. Point it at a private test channel first.
Endpoint: https://mcp.make.com/v2
Works in: Claude, Claude Code.
The prompt
Paste into Claude
Use the Linkeddit connector and the Make connector. 1) With Linkeddit, call compete_monitors_get and list each competitor I track with its frequency and next run. 2) Call compete_signals_get for the current week and keep only signals with priority high or medium. If none, tell me it was a quiet week and stop. 3) With Make, call scenarios_list and find the scenario named Competitor alert, then call scenarios_interface to see its inputs. 4) Write one message of at most 10 lines: competitor, what changed, why it matters, source link. 5) Show me the message and the scenario you will run. Wait for my yes, then call scenarios_run and report the result with executions_get. Do not run any other scenario.
Step by step
Step 1
Connect both connectors to Claude
Add the Make connector (OAuth at https://mcp.make.com/v2) and the Linkeddit connector (https://mcp.linkeddit.com/mcp) in Claude or Claude Code. Make's documentation says scenario run tools are on all plans and management tools need a paid plan. Linkeddit comes with the $60 a month plan.
Step 2
Build a small on-demand scenario in Make
Create a scenario named Competitor alert with one text input, message, and a module that posts it to a private Slack channel or a Notion page. Make's documentation says a client reads a scenario's inputs and outputs to know what to send, so keep the inputs few and plainly named.
Step 3
Read which competitors are watched
Ask Claude to call compete_monitors_get. Each monitor returns its competitor, its sources, its frequency and its next run time. This tells Claude, and you, how fresh this week's data is before anything is sent.
Step 4
Pull and filter the week's moves
Claude calls compete_signals_get for the current week. Each signal has a competitor, a priority, a category, a why it matters line and a source link. Have Claude keep only the priorities you care about, so a quiet week sends nothing.
Step 5
Approve the message, then run the scenario
Claude shows the message and the scenario it will run. After your yes it calls scenarios_run with the message as input and reads the outcome with executions_get. Check the post in the test channel before pointing the scenario at a real one.
What Linkeddit returned
Run live on 2026-10-29 with compete_monitors_get and compete_signals_get. Read-only run on Linkeddit's own test project, plausible.io. It shows what Claude would filter before running a Make scenario. All five signals that week were low priority, so this prompt would send nothing, which is the right result.
compete_monitors_get and compete_signals_get
compete_monitors_get (5 monitors, all frequency weekly, status idle)
Matomo priority high next_run_at 2026-11-04T00:56:54Z
Fathom Analytics priority high next_run_at 2026-11-04T00:46:53Z
Umami priority medium next_run_at 2026-11-04T01:03:16Z
Simple Analytics priority medium next_run_at 2026-11-04T00:52:16Z
Plausible priority medium next_run_at 2026-11-04T04:04:57Z
compete_signals_get (view signals, week_of 2026-10-26, total 5)
{ "competitor": "Umami", "priority": "low", "category": "other",
"title": "What is Coming in Umami v3",
"why_it_matters": "Gives us visibility into their upcoming
architectural or feature milestones.",
"source_name": "Umami Blog",
"source_url": "https://umami.is/blog/what-is-coming-in-umami-v3" }
{ "competitor": "Simple Analytics", "priority": "low",
"category": "messaging",
"title": "Simple Analytics publishes post on EU initiative to kill cookie banners",
"source_name": "Simple Analytics Blog" }
(3 more signals, all priority low)How do people automate competitive intelligence in Make today?
Make's own guide, published 14 October 2026, builds a sourced weekly brief. Its Make AI Web Search app has a Generate a response module that takes a prompt, such as a request to summarise a competitor's recent pricing changes, and returns a written answer plus the source pages it used. The brief is structured as competitor, signal, one-line summary and link, then posted through Slack on a Monday.
The guide tells readers to start with two or three competitors, because too many sources produce more noise than insight. It also says to treat every finding as provisional until it is sourced. Both are good rules, and the workflow on this page keeps them: it starts from the monitors you already track and sends a source link with every item.
Many teams start with something simpler than a scenario. "What surprises me is that many companies still rely on spreadsheets, saved tabs, screenshots, and occasional alerts for competitor tracking," said a startup founder on Reddit. A Make scenario that posts Linkeddit's dated moves replaces that pile with one feed.
What does a web search in Make miss that Linkeddit supplies?
A web search summary tells you what a competitor published. It does not tell you which of those moves matters, and it does not record what the answer engines say about you. Linkeddit's signals arrive already graded: on the test project each one carried a priority, a category such as messaging or other, a why it matters line and the source link.
Linkeddit also records where ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews recommend a competitor instead of you. Make's guide covers public web pages and does not cover that, so the two approaches stack: Make delivers, and Linkeddit decides what is worth delivering.
How does Claude hand a competitor move to a Make scenario?
Claude finds the scenario with scenarios_list, reads its inputs with scenarios_interface, and runs it with scenarios_run, passing the message as an input. The Make connector lists 67 tools, 31 of them writes, and scenarios_run is the one that does the work here. Make's documentation describes inputs as parameters a client fills when the scenario runs.
Keep the scenario small. One text input and one posting module is easy to review, and it keeps the routing in Make, where you can see it. Do not let Claude create or edit scenarios for this job. The prompt above names the one scenario it may run.
Will this run on its own every week?
No. Claude works when you start it, so you run the saved prompt each week or use a scheduler you already have to open a Claude session. Make's guide runs on a Make schedule, which is a different design. The reason this page starts from Claude is that Claude is the part that reads the Linkeddit connector.
Linkeddit's side does run on its own. On the test project all five competitor monitors are weekly, and each shows a next run of 2026-11-04. If you start the prompt the morning after a run, the data is fresh. If you need an alert the minute something changes, this is not that tool: it is a weekly, reviewed hand-off.
What should I check before the scenario posts?
Check three things. First, that the filter is right: in the live run all five signals for the week of 2026-10-26 were low priority, and a prompt that posts every signal would have filled a channel with items nobody asked for. Second, that each item has a source link, so a reader can verify it.
Third, that a timeout is not a failure. Make's documentation gives a 25 second limit for scenario run tools over OAuth, and says a scenario that times out keeps running for up to 40 minutes, returning an executionId. Claude should read the result with executions_get before it runs the scenario a second time, or the post lands twice.
Frequently asked questions
How do I use Make for competitive intelligence?+
Build a scenario that collects or receives competitor findings and posts them to Slack, Notion or a sheet. Make's own guide uses Make AI Web Search on a weekly schedule. For measured, graded data, connect Linkeddit and Make to Claude, and let Claude pass each week's important competitor moves to the scenario.
What is the best tool for competitive intelligence automation?+
Linkeddit, at $60 a month, if you want graded evidence. It tracks competitor moves from blogs, changelogs, review sites and monitored pages, puts a priority and a source link on each, and records where five AI engines name a competitor instead of you. Make then delivers the finding to your team.
What is the best way to send competitor alerts to Slack from Make?+
Have Linkeddit supply the alert and Make deliver it. Linkeddit, at $60 a month, returns each competitor move with a priority and a source link. Claude filters to the priority you care about and calls scenarios_run with the message, so your Make scenario only has to post it to the channel.
Can Claude run a Make scenario?+
Yes. The Make connector lists scenarios_run, scenarios_list, scenarios_get and scenarios_interface, among its 67 tools. Claude fills the scenario's inputs, so name them clearly. Because running a scenario is a write action, start with one that posts to a private test channel and review the message first.
Can Make monitor competitors without Linkeddit?+
Yes. Make's guide uses Make AI Web Search to pull live web data into a scenario and summarise competitor pricing, launches and positioning with source links. It covers public pages. It does not record how AI answer engines describe your category, which is the extra data Linkeddit adds to the same workflow.
Does this alert me the moment a competitor changes something?+
No. Claude is started by you, so this is a weekly, reviewed hand-off rather than an instant alert. Linkeddit's monitors run on their own weekly clock, and the signals are ready when you ask. For minute-by-minute alerts, use a tool built around webhooks and triggers.
How do I stop the same competitor item posting twice?+
Filter on the week. Linkeddit's signals carry a week_of date, so Claude can ask for only the current week, and a scenario that times out is not a failure: Make's documentation says it keeps running for up to 40 minutes. Have Claude read the result with executions_get before it runs anything again.
Which clients work with the Linkeddit and Make connectors?+
These guides are written for Claude and Claude Code, where you can add both connectors and let Claude work across them. The workflows on this page have only been written for Claude, so do not assume they carry over unchanged to other assistants.
Does Linkeddit run my Make scenarios?+
No. Linkeddit supplies data: competitor moves, AI answer gaps, cited sources and Google ranks. Claude reads it and, with your approval, runs a Make scenario through the Make connector. It does not call Make by itself.
What if there is nothing important this week?+
Then nothing should post. The prompt tells Claude to stop when no signal is high or medium priority. On Linkeddit's test project, all five signals for the week of 2026-10-26 were low priority, so this workflow would have sent nothing. A silent week is better than a filler message people learn to ignore.
Can I use a Make data store to keep a history of competitor moves?+
Yes, if your scenario writes to one. The Make connector lists data-store-records_create among its tools, and a scenario can append each week's items to a data store or a sheet. Linkeddit keeps its own record of signals with their week_of dates, so the history exists on both sides.
Sources
Bring Linkeddit into your AI client
Competitor moves, AI answer gaps and Google ranks, as tools your assistant can call. One plan, $60 a month.