Pitching GEO to clients
You understand GEO. Now you need to sell it. The good news: the pitch almost sells itself once you show the gap. The challenge is getting the prospect to care about a problem they didn't know they had.
The elevator pitch
One possible pitch: "We can review how your brand appears in a defined set of AI answers, identify verified gaps, and agree work to investigate them."
That's it. This creates curiosity and urgency without technical jargon. The natural follow-up question is "Really? Let me see.": which is exactly where you want them.
The audit-first sales motion
An audit-first conversation can follow this structure:
- Run a free audit for the prospect before the sales call
- Walk through results showing their specific gaps
- Present the action plan: concrete steps, not vague promises
- Close with the metric: "We'll compare your sampled visibility at agreed checkpoints and explain what changed, including coverage and uncertainty."
Use only the prospect's verified findings and comparable competitor evidence. Explain scope and limitations before suggesting a plan.
Framing the competitive advantage
The strongest motivator isn't "you should do GEO." It's "your competitors are already doing it."
Hypothetical example, not a real company or result: A fictional business, Harbor Studio, asks why another brand appears in a sampled buying-intent answer. Review that answer and its sources together, then agree which factual gaps are worth investigating. Do not substitute invented figures or a real company's name for measured evidence.
Use this conversation to assess relevance to the prospect, without inventing competitive urgency.
Handling objections
"is this actually real? do people use AI for buying decisions?"
Ask whether the prospect has evidence that their customers use AI answers in the buying journey. Review their available referral, interview, and sampled-answer evidence. Avoid unsupported adoption figures or growth forecasts.
"how long does it take?"
Honest answer: retrieval-grounded models like Perplexity and Google AI Overviews can surface newly indexed pages and threads once crawled, while broader competitive positioning across all models is measured against the Day 0 baseline at Day 30, 60, and 90 checkpoints and ongoing monthly re-audits. Set expectations clearly: underpromise, overdeliver.
"what results can you show?"
Use the customer's actual evidence: sampled answers, source coverage, verified referral traffic, and qualified leads where available. Explain what remains unknown. Do not invent market adoption rates, growth forecasts, or revenue return from a visibility score.
Also: "We track Share of Model monthly. You'll see exactly how your AI visibility changes, correlated with specific actions we take."
"we already do SEO."
"SEO and GEO examine different discovery surfaces. We can review search performance alongside sampled AI answers and agree useful work without promising either a ranking or a recommendation."
"can't we just do this ourselves?"
"You could, the same way you could do SEO in-house. But GEO requires specialized tools (like Outrigger), specific techniques, and consistent execution. Most agencies that try to do it in-house end up spending more time than it's worth."
The monthly retainer vs project model
Two pricing approaches that work:
Monthly retainer (recommended)
Ongoing GEO management: monitoring, citation seeding, entity maintenance, press campaigns. This is the most common model because GEO requires consistent effort.
Project-based
A 90-day sprint: audit → fix foundations → seed citations → measure results. Good for prospects who aren't ready to commit to ongoing retainers but want to see what GEO can do.
Choose an engagement based on the customer's needs, capacity, and approval process. A project does not assure a renewal or a visibility increase.
In Outrigger
The public free scan and workspace Audits module have different scope and access requirements. Explain the actual surface you used, its coverage, and the findings you verified.