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GEO content engine

  • geo
  • content

The repeatable system behind earning LLM citations, find the roundups the assistants quote, pitch your way in, publish canonical facts pages, track share of voice in Profound, and double down on what gets cited.

Get access See how it runs
5 Steps in the flow
2 Tools orchestrated
2 Human checkpoints
Weekly Run cadence
4 / month Answer-engine pages

The objective

What this system is built to do

Win by being referenced, not by chasing keywords. The model cites the source it trusts, so earn third-party citations, don’t just publish more pages.

We win by being cited, not by ranking. Earn third-party citations the assistants already trust and publish canonical, structured facts pages they can quote, then track share of voice in Profound and compound the topics that land. Not doing: keyword-chasing SEO or gated PDFs.

How it runs

The steps your team follows

The workflow, exactly as it runs inside . It plays through step by step, or pick any node on the map.

1Find the roundups LLMs cite
2Pitch to be included
3Publish a canonical facts page
4Measure share of voice
5Prioritise high-citation topics
Start
1

Find the roundups LLMs cite

Weekly
  1. In , ask the assistants the buying questions for our category and note which sources they cite.
  2. List the roundups, listicles and comparison posts that recur.
  3. Score each by citation frequency and how reachable the author is.
  4. Human approval, pick the 2–3 targets for this week.
2

Pitch to be included

Weekly
  1. For each target, draft a short, specific pitch: the one stat or angle only we can add.
  2. Offer a quote, data, or a screenshot, make it easy to say yes.
  3. Track replies; follow up once after 4 days.
  4. escalate if a top target needs a warm intro.
3

Publish a canonical facts page

Weekly
  1. Build one structured, quotable page in : a clear definition, a dated number and a named source per claim.
  2. Add an FAQ + comparison tables for the “vs” questions.
  3. Mark it up with schema so it's machine-readable.
  4. Link it from the sources the model already trusts.
4

Measure share of voice

Weekly
  1. In , re-ask the category questions across ChatGPT, Claude and Perplexity.
  2. Record how often we're named and whether the claim is right.
  3. Log new citations and any we've lost.
  4. Human approval, which topics to double down on.
5

Prioritise high-citation topics

Weekly
  1. Rank topics by citation lift per hour spent.
  2. Retire topics the models never pick up.
  3. Feed the winners into next week's roundup hunt.
1 / 5

Setup

The stack

The tools this system drives, and the context you bring once. Connect your own accounts, or swap in your team's equivalent.

Tools to connect

ProfoundCustom Powers Find the roundups LLMs cite Or Peec AI, Otterly
WebflowFree – $23 / mo Powers Publish a canonical facts page Or Framer, WordPress

Context to bring

Your documents 4 files
  • Prompt & query set The questions and prompts you want to be the cited answer for.
  • Canonical facts The claims, numbers and positioning you want models to repeat.
  • Brand & tone The voice for the pages and answers you publish.
  • Site access Publishing access to ship the canonical assets.

Proven in market

Run by 116 teams, verified on real accounts

GEO content engine is built and verified by Growth Division, the GTM team behind 150+ companies. Here is what the same play has produced for their clients.

+400% trial activations in 6 months

NOAN · SaaS

Validated new marketing channels

Startups.com · Multi-brand

+69% app installs YoY

REPStracker · Real Estate

Built & verified by Growth Division

What we've learned running it hundreds of times

The small, hard-won details that decide whether it works, from every run.

#1 ChatGPT · Claude · Perplexity
+18pp share of voice in 8 weeks
2 roundups did the work of 5 pages
share of voice high confidence
Before 6%
After 24%

Third-party citations moved the needle

One roundup citation the model already trusts beats five owned pages it ignores. Spend the effort on the citation, not the page.

Outreach A/B25 prompts6 weeks
+16pp, after a lag medium confidence
+16pp, after a lag

A canonical facts page worked, but three weeks later

The win is real but delayed: assistants don’t re-crawl instantly. Ship the page, resist the urge to “fix” it in week two, and judge it at week four.

Before / after40 prompts8 weeks
+16pp on “vs” prompts high confidence
+16pp on “vs” prompts

A comparison table won the “vs” questions fast

Comparison queries re-index quickly, unlike canonical pages. When you need a fast GEO win, answer the “vs” question with a table.

Before / after“vs” prompts6 weeks
The full lab notebook Every experiment charted, with the raw before/after and the decision rules behind each call. Unlock free

Get started

How to run this system

Live in an afternoon. Clone it, connect your tools, set your inputs, and turn it on.

  1. 1

    Add to

    Clone the GEO content engine into your workspace, wired end to end.

  2. 2

    Connect your tools

    Profound, Webflow.

  3. 3

    Set your inputs

    Your ICP, targets and brand rules, once.

  4. 4

    Turn it on

    It runs weekly on autopilot, checking in with you only where it matters.

~40 min / week your time on autopilot · vs 8–12 hrs / week by hand
4 / month Answer-engine pages, produced for you

Early access

Run the GEO content engine in your workspace.

is in stealth with a first cohort of scaleups. Join the waitlist and we’ll open this system, and the full library, to you first.

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