Mentionova

Agent · Research & analysis

A handful of seeds into a deduped keyword plan.

It expands your seeds, dedupes them in code, and clusters what is left into named groups in a Google Doc.

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5 stepsRuns on demandAI call · Filter / Branch · HTTP request
5chained stepsOn demandrun mode3step types1click to add
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What it does

Pre-built, then yours to customize.

Add it to your workspace in one click. Sensible defaults and example inputs are already filled in.

  • Deduped in code, so the result is repeatable
  • Named clusters, not numbered ones
  • One recommended page per cluster — no self-competition
  • Written straight to Google Docs
Google Docs
Keyword cluster planner
expand_long_tail1.9s
dedupe_in_code0.3s
cluster_into_groups2.1s
recommend_page_per_cluster1.5s
write_google_doc1.1s
5 steps · Runs on demand
Every run logs each step’s input, output and runtime.

The steps

What happens on every run.

1

Expand the long tail

Every seed becomes the realistic variants people actually type.

2

Dedupe in code

A Filter step removes near-duplicates deterministically, not on a model’s judgement.

3

Cluster into named groups

Groups with names you can brief against, not cluster IDs.

4

Recommend a page per cluster

One page per cluster, so you stop writing three that compete.

5

Write the plan to a Doc

Delivered to Google Docs, ready to divide up.

Before & after

The time this gives back.

Doing it by handyour team
Expanding seeds by hand~1.5h
Spotting duplicates in a sheet~1h
Grouping and naming clusters~1.5h
Per plan, by hand~4 hrs
Keyword cluster plannerLive
Agent expands and dedupesauto
Agent clusters and namesauto
You review the plan~25m
One agent run~25 min

Steps that touch the outside world — a CMS, a channel, a live page — gate on human approval. You keep final approval.

FAQ

Questions, answered.

Why dedupe in code instead of with the model?
Because deduping is exact work. A Filter step gives the same answer every run; asking a model to spot duplicates does not, and a keyword plan you cannot reproduce is hard to trust.
How is this different from clustering with SERP analysis?
This starts from seeds you already have and organises them. The SERP version starts from one seed and discovers the cluster from live results. Use this when you have a list, that one when you have a hunch.
Can I brief from the clusters?
Yes. Each cluster comes with a recommended page, which is the input the content brief agent expects.

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Start free. Customize the steps, run it on demand or on a schedule, and approve anything that ships.

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