Takes a single seed keyword plus user context and a business objective,
then runs a six-stage query fan-out process — decomposition, thematic
clustering, hierarchical expansion, rewriting, entity linking, and
priority scoring — to generate 40-60 related queries. Those queries get
converted into a ready-to-use article outline of 25-30 H2/H3 headings
with a scored table and a content-flow diagram, making it a combined
keyword-research and outline-drafting prompt for pillar pages.
Give it a list of the different content types on your site — blog,
store, member area, and so on — and it walks through how to configure a
robots.txt file so crawl budget goes toward the pages that should rank.
It also covers how often to revisit the file and what events (new
sections, migrations, indexing problems) should trigger an update, which
is useful when nobody on the team owns robots.txt maintenance.
Starting point for keyword research before you have any other data —
specify a main category, how many topics you want, and how many table
columns to spread them across, and it returns a table of semantically
distinct seed keywords under that niche. The example in the prompt uses
'gym exercise' with 30 topics across 5 columns as a working default if
you're unsure what numbers to pick.
Takes raw analytics data for a given time period, along with business
context and the stakeholder audience, and converts it into a client-ready
business narrative rather than a metrics dump.
Output covers a three-sentence executive summary, key business wins,
revenue and traffic impact, market position, ROI demonstration, next
steps, and suggested visuals — swap in the actual stakeholder (CMO
versus founder) since the framing shifts a lot.
Turns an existing outline into a full, publish-ready blog draft written
to a specific voice and length.
- Inputs: niche, target word count, article title, outline, brand voice
notes, competitor blog links
- Expands every subheading into full copy in one pass
- Follow-up step suggests where to place images or infographics
- Last step in the seed keyword to outline to intro to draft chain
Drafts the opening paragraphs of a blog post from just a topic, a
target keyword, and a word limit, returning two versions — one that
previews what the article covers, and one that opens by naming the
problem the topic solves. A follow-up step then proposes a thesis
statement pulled from whichever introduction you pick, so the rest of
the article has something concrete to build around.
Give it an article title and the URL of your blog's index page, and it
drafts a sequential, SEO-aware outline that structures the post from
introduction through conclusion.
A follow-up prompt then suggests three internal links from your existing
blog posts to work naturally into the new article — feed the resulting
outline straight into the SEO blog content expander to draft the full
post.
Feed in your own SEO metrics, a named competitor's metrics, and market
context, and it builds a side-by-side SWOT matrix covering technical
SEO, content quality, backlink profiles, keyword rankings, and organic
visibility for both sides. The output pairs the matrix with five
prioritized strategic recommendations and an implementation plan, so
it's only as sharp as the real numbers you feed into strengths and
weaknesses.
Recommends a clean, SEO-friendly URL slug for a new article from just
its working title.
- Input: article title or topic only
- Suggests a structured slug rather than a raw title dump
- Follow-up explains why the structure helps both SEO and usability
- Still expects you to trim the slug to essential keywords yourself