Course lesson · Senior-Leader

Building the Business Case

A GEO business case states the problem with evidence, the cost of a bounded programme, an upside estimate built from your own data with every assumption labelled, and the risks, then asks for a staged commitment with a clear decision point. Because AI visibility has no reliable industry benchmarks yet, honesty about uncertainty is what makes the case credible. This lesson walks through each part with a worked, illustrative model.

In this lesson

  • The structure of a GEO business case
  • Costing people, tools and content
  • Building an upside estimate with labelled assumptions
  • Presenting risks and a staged plan
  • Exercise and quiz

What goes into a business case?

SectionQuestion it answers
Problem and evidenceWhat's happening, and how do we know?
ProposalWhat will we do, for how long?
CostWhat will it take in money and time?
UpsideWhat could we gain, under what assumptions?
RisksWhat could go wrong, and what if we do nothing?
Decision and milestonesWhat are we asking for, and when do we review?

Keep it to one or two pages. Leaders read short, specific cases.

How do you present the evidence?

Use your own baseline: a manual check or tracked prompt set (see GEO 101). Illustrative:

  • "In 40 discovery prompts across ChatGPT and Perplexity, we were recommended in 7; our two main competitors in 22 and 18."
  • "Three answers quoted our 2023 pricing."
  • "GA4 shows AI assistant sessions growing month on month from a small base."
  • "Sales report prospects mentioning ChatGPT in discovery calls."

State sample sizes. A small sample is fine if you say so.

How do you cost the programme?

Cost typeExamplesHow to estimate
PeopleGEO/SEO lead time, content writers, engineering hoursHours × loaded rate, or share of salary
ToolsVisibility tracking, log analysisVendor quotes
ContentNew pages, updates, researchPieces × cost per piece
Off-pageReview programme, PRProgramme budget
Opportunity costWork you'll pauseName it explicitly

Present a pilot cost (for example one quarter) and a full-year cost separately.

How do you estimate the upside honestly?

Build a simple model from your own funnel, with every input labelled as data or assumption. Illustrative model, not real data:

InputValueType
Monthly demo requests400Data (CRM)
Share self-reporting an AI assistant5%Data (form, 1 quarter)
AI-sourced demos per month20Calculated
Demo-to-close rate15%Data (CRM)
Average first-year deal value€12,000Data
Increase in AI-sourced demos if recommendation rate improves+25% / +50% / +100%Assumption (low/mid/high)

Annual upside = 20 × uplift × 12 × 15% × €12,000:

ScenarioExtra AI demos/monthExtra annual first-year revenue
Low (+25%)5€108,000
Mid (+50%)10€216,000
High (+100%)20€432,000

The uplift is the weakest link, so say so: "We don't know how visibility translates to demos; the pilot will test this."

What risks should you include?

RiskMitigation
Visibility doesn't improvePilot with a decision point; test cheap changes first
Improvement doesn't reach pipelineTrack self-reported attribution and AI referral key events
Engines change behaviourReport with control groups and ranges
Doing nothingCompetitors keep defining the category in AI answers
Reputation damage from low-quality contentQuality standards; no mass thin pages (Google)

How do you structure the ask?

Ask for a stage, not a forever programme:

  1. Pilot (one quarter): baseline, fix access, improve 5–10 priority pages, set up attribution.
  2. Decision point: review visibility, accuracy and early outcomes against stated thresholds.
  3. Scale (if justified): budget for the next two quarters.

Illustrative threshold: "Continue if unbranded recommendation rate on priority prompts rises meaningfully against control topics, or AI-sourced demos increase."

A quick example

Illustrative. A CMO rejects a first draft promising "3× AI traffic". The rewrite shows a pilot costing one-third of a content marketer's time plus a tool subscription, a three-scenario upside table with the uplift labelled as an assumption, and a review date. It's approved because it's honest and bounded.

Exercise

Write a business case covering cost, a labelled upside estimate and risk. Use the structure above, your own funnel data where possible and low, mid and high scenarios. Mark every assumption clearly, and end with a pilot ask and a decision date.

Quiz

  1. What makes a GEO business case credible?

a) A guaranteed ROI b) Evidence, labelled assumptions and a staged ask c) Industry hype Answer: b

  1. In the upside model, which input is usually the weakest?

a) Monthly demo requests b) The assumed uplift from better visibility c) Deal value Answer: b

  1. What should a pilot include?

a) A decision point with thresholds b) No measurement c) A five-year commitment Answer: a

  1. Why present low, mid and high scenarios?

a) To show uncertainty honestly b) To confuse leaders c) It's legally required Answer: a

  1. Which is a mitigation for "improvement doesn't reach pipeline"?

a) Self-reported attribution and AI referral tracking b) Stop measuring c) Publish more thin pages Answer: a

Next: Lesson 3: Budgeting tools, people and content

Sources

Questions

How do I estimate GEO's upside without benchmarks?

Build a simple model from your own data, label every assumption, and show low, mid and high scenarios.

Should I promise a specific ROI?

No. Present a range with explicit assumptions and a plan to test them early.

What's a good first ask?

A bounded pilot, often one quarter, with clear measures and a decision point.