Using the live web, research keyword
opportunities for [business / industry]
targeting [country / region].

Find 20-30 keywords people search for
at each stage:
- Awareness (what is / why does)
- Consideration (best / vs / compare)
- Decision (buy / near me / pricing)

For EACH keyword give: estimated
intent strength (high/med/low, from
SERP competitiveness), the true
searcher intent, and which of our
pages (if any) could target it.

Output one table grouped by funnel
stage. Flag the 5 highest-opportunity
keywords — high intent, low apparent
competition.

For our top 10 keywords from above,
check BOTH:
1. Google's top 5 organic results — who
   ranks, what content format (blog /
   tool / listicle), rough word count.
2. What ChatGPT, Gemini and Claude
   actually say when asked [rephrase
   the keyword as a natural question] —
   do they cite us? Who do they cite?

Build a table: keyword | who ranks #1 |
who gets cited by AI | the gap between
the two.

Flag any keyword where we could
realistically outrank AND get cited
within 90 days.

Now automate this. Using Cowork,
Schedule it to run every Monday
at 8am:

1. Re-check our top 10 target keywords
   — Google rankings + AI-answer
   citations.
2. Compare to last week and flag any
   ranking or citation changes.
3. Scan for 3 new keyword opportunities
   based on what's trending in our
   space.

Then email me a one-page keyword digest
via Gmail with a "what to act on
first" section. Draft it — don't send.

Write an SEO + AEO optimised article
on [topic / target keyword] for
[audience] in [country / region].

Structure it so it works for BOTH
channels:
- Open with a direct 40-60 word answer
  to the core question (snippet + AI-
  citation ready)
- Then expand: how it works, when to
  use it, examples
- Add a FAQ section: 5 question-format
  subheadings, answered in 2-3
  sentences each
- Suggest 3 internal links to existing
  pages on [our site] and where they'd
  sit

Target [800-1200] words. Plain
language, no fluff, one clear claim
per paragraph.

Review this draft: [paste article].

1. Rewrite the opening so the first
   sentence alone answers the core
   question — no throat-clearing.
2. Check every H2/H3 — rewrite any
   that aren't a real question or a
   clear benefit statement.
3. Add schema-ready FAQ Q&As
   (question + concise answer) I can
   drop into FAQPage JSON-LD.
4. Flag anything an AI engine would
   find ambiguous or hard to quote
   cleanly, and fix it.

Return the revised article plus a
short list of what you changed and
why.

Automate our content calendar. Every
Monday, using Cowork (Schedule
it):

1. Pick the next keyword from our
   target list [attach / reference the
   list].
2. Draft a full answer-first article
   following our house structure (see
   the prompt above).
3. Suggest a title, meta description
   under 155 characters, and 3 internal
   links.

Save it as a Gmail draft addressed
to me for review — don't publish
anything automatically.

Using the live web, research
[Competitor A / B / C]'s SEO and
AI-visibility performance.

For EACH competitor:
- Their top 10 ranking pages / topics
  (from what you can find via search)
- What questions ChatGPT, Gemini and
  Claude cite them for in our space
- Content format they lean on (guides,
  tools, comparisons, case studies)
- Their strongest on-page SEO pattern
  (title / H1 style, structure)

Output one comparison table. Cite a
source for every claim.

Here's what we do: [1-paragraph
description].

Using the competitor audit above:
1. List topics / keywords they rank or
   get cited for that we have no page
   on.
2. Score each gap on a 2x2: search
   demand x our right-to-win (do we
   genuinely have something better to
   say?).
3. Find 3 topics NOBODY in this
   comparison set owns well yet — true
   white space.

Recommend the ONE content gap to fill
first, and why it beats the others.

Automate this. Using Cowork,
Schedule it to run on the 1st of
every month:

1. Re-check [Competitor A / B / C]'s
   site for new content, new pages, or
   ranking changes.
2. Re-check what AI answer engines
   cite them for now vs last month.
3. Flag any new gap, or any gap we've
   now closed.

Email me a one-page competitive digest
via Gmail. Draft it — don't send.

Using the live web, crawl and audit
[our website URL] for SEO and
AI-answer readiness.

Check and report on:
- Title tags & meta descriptions
  (length, keyword presence,
  duplicates)
- Heading structure (missing / multiple
  H1s, logical H2/H3 flow)
- Schema markup present vs missing
  (Organization, FAQPage, Article,
  Breadcrumb)
- Broken internal links or obvious
  thin-content pages
- Anything that would make a page hard
  for an AI engine to quote cleanly
  (walls of text, no clear structure)

Output a prioritised fix list — P0 / P1
/ P2 — ranked by impact vs effort, not
just a list of issues.

For the top 10 pages from the audit
above:
1. Rewrite title tags (under 60
   characters, primary keyword front-
   loaded) and meta descriptions
   (under 155 characters, one clear
   reason to click).
2. Draft the FAQPage JSON-LD schema
   for any page missing it, based on
   its actual content.
3. Flag any page that should be
   merged, redirected, or noindexed
   because it's thin or duplicate.

Give me copy-paste-ready code for the
schema, and a before/after table for
the titles.

Automate this. Using Cowork,
Schedule it to run on the 1st of
every month:

1. Re-crawl our top 20 pages for the
   same checks as above.
2. Compare to last month's audit and
   flag what's fixed vs still open.
3. Surface any NEW issue that appeared
   (broken link, missing meta, etc).

Email me a one-page onsite health
digest via Gmail with a "fix this
week" section. Draft it — don't send.