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Keyword research that arrives ranked by what you can win.

Ask in Slack and Patricia builds the keyword universe: real volumes, difficulty, CPC and intent, clustered by topic, with your current position on every row. Then she points at the quick wins and turns it into a report you can present.

What comes back in #marketing when the content plan needs numbers:

#marketingThreadProduct preview
Ricardo GhekiereJust now

@Pati keyword research: barrier repair skincare, US. Where can we win?

PatriciaAppJust now

On it. I mapped 1,000 keywords around barrier repair into 14 clusters, with our current position on every row:

  • Quick wins: 23 keywords with 500+ searches and low difficulty where we aren't ranking yet, mostly in the 'ceramide routine' and 'damaged skin barrier' clusters
  • Money terms: 'best barrier repair cream' and 11 more buyer-intent keywords, we sit on page 3 for most of them
  • Dewdrop ranks top 10 for 41 of these, so the gap list is ready too
Pulled fromDataforseo
Thibaut HennauJust now

@Pati what would it take to win 'best barrier repair cream'?

PatriciaAppJust now

Page one is three listicles and two brands. The weakest page there has 12 referring domains, our closest page has 4, so it is winnable with a refreshed comparison page and a handful of links. The full map is saved as a CSV and the report is drafted for Monday. Want me to track our top 20 weekly?

How teams do this today.

Every content plan starts with keyword research. Getting it means a tool seat, an export, and an afternoon nobody has.

The tool seat nobody shares

One SEO-platform login for the whole team, used a few times a month, mostly to export a CSV someone else asked for.

The 5,000-row spreadsheet

The export lands in a sheet. Someone spends the afternoon deduping, clustering and guessing intent, and the sheet is stale by the next brief.

The plan that skips the numbers

Deadlines win, so the content plan gets written from gut feel, and nobody checked which terms you could actually rank for this quarter.

What it looks like when she owns it.

The Keyword Research skill in Patricia's skills catalog, ready to install, with its description and example prompts
Ask her for the skill in Slack and she installs it herself, or add it with one click from her catalog in the app.
A clustered keyword map in Patricia: keywords grouped by topic with search volume, difficulty, cost per click, intent, current position and an opportunity score per row
The map, not the dump: clustered by topic, scored by opportunity, with your current position on every row.
A keyword research report drafted by Patricia: the opportunity map by cluster with quick wins called out, what the map says, and the immediate decision
She turns the research into a report you can present on Monday: quick wins first, the next move called out.
A scheduled rank-tracking task in Patricia: the tracked keyword set checked weekly with recent runs listed and position changes flagged
Set the watch once and she tracks the positions weekly, flagging the big moves and whether an AI Overview took over a result.

Setup

Running in minutes, then it's hers.

Step 1

Add Patricia to Slack

She joins your workspace like any teammate. Two minutes, no engineering.

Step 2

Install the Keyword Research skill

Ask her for it in Slack and she installs it herself, or add it with one click from her catalog in the app. It brings the research method and the keyword data with it.

Step 3

Give her the seeds

A topic, a page, or a competitor domain, plus your own domain so she can mark where you rank today.

Step 4

Get the map, keep the watch

She returns the clustered map with the quick wins called out, files the CSV and the drafted report, and tracks the positions on schedule if you ask.

What she takes off your plate.

Real behavior of the skill, not a feature list.

Real numbers on every row

Search volume, cost per click, difficulty and intent from live search data, never guessed. If the data source returns partial data, she says exactly what came back.

Clustered, not dumped

Keywords grouped by topic the way Google actually groups them, so the map reads as a content plan, not a spreadsheet chore.

Scored by what you can win

Every cluster gets an opportunity score. Quick wins, high volume with low difficulty where you aren't ranking yet, come sorted to the top.

Always checks the money terms

Buyer-intent variants like best, review, alternative and pricing are swept on every run. They convert far above the informational terms, so they are never skipped.

Knows where you rank today

Every keyword is annotated with your current position, so the gap between the plan and reality is on the page from the start.

The move for one keyword

Ask about a single term and she shows who holds page one, how strong their pages are, and the specific move it would take to join them.

A report, not homework

The research files itself: the keyword map lands as a CSV, and the findings become a report in your own format with the quick wins up front, ready to present.

Things to ask her on day one.

@Pati

Install the Keyword Research skill

@Pati

Keyword research: barrier repair skincare, US

@Pati

Which of these can we actually win this quarter?

@Pati

What does Dewdrop rank for that we don't?

@Pati

What would it take to get 'best barrier repair cream' to page one?

@Pati

Track our top 20 keywords weekly and flag big moves

@Pati

Export the keyword map to a sheet

FAQ

Keyword research, answered.

Where does the keyword data come from?

From DataForSEO, a live search data provider Patricia queries for you. Volumes, difficulty, cost per click and positions are real market data, and she is read-only against it, nothing gets published or changed.

What do we need to set up?

Add Patricia to Slack and ask her for the Keyword Research skill, or install it from her catalog in the app. Give her your domain and a topic, and the first map comes back in the same thread. There is no tool to learn and nothing new to roll out.

Do we still need an SEO platform seat?

For keyword research, no. Patricia covers the keyword universe, difficulty, competitor keyword gaps and rank tracking. Teams typically keep a seat only for the deep site-explorer work they already live in.

How is this different from exporting keywords from a tool?

The export is where the work starts. Patricia returns the finished thinking: clustered by topic, scored by opportunity, annotated with your current positions, and shaped into a report, in the Slack channel where the plan gets made.

Can she track rankings after the research?

Yes. Ask her to track a keyword set and she checks live positions and SERP features on schedule, including whether an AI Overview has taken over a result, and flags the big moves.

Can she see what a competitor ranks for?

Yes. Give her a competitor domain and she pulls their ranked keywords and shows the gap: the terms where they win and you are absent.

Is this all Patricia does?

No. Keyword research is one skill. The same teammate watches competitor ads, drafts the marketing report, and handles the rest of the work teams hand her, all in the same Slack.

One of the jobs teams hand her. See more campaigns use cases or browse them all.

Everybody deserves a Patricia.

She handles the work your team never gets to. You build the company. See what changes in your first week.

Pick a time that works for you. You get a live walkthrough of Patricia on your real work, and every question answered.

No credit card.