Case Study
How SmartFocus Helped Shape an Emerging AI Service Into a Viable Business Proposition
Buyers didn’t want another “AI visibility” program. They wanted a tightly scoped business-improvement service: one that makes the AI answers about their company accurate and ties the work to a business result. SmartFocus helped a provider reshape its emerging Generative Engine Optimization (GEO) offer around that need before broader commercialization.
01
Challenge
A provider preparing to commercialize a GEO service faced a basic positioning question: Would mid-market and enterprise decision-makers understand what GEO would do for their business, and would they see enough value to buy it?
The research needed to establish:
- Which business outcomes would justify investment
- How to explain GEO to buyers unfamiliar with the term
- Where the service should sit alongside search, content, brand, communications and sales
- What evidence would support an initial pilot and renewal
- Who would need to approve and manage the work
The provider used SmartFocus to pressure-test the proposition before committing to its go-to-market approach.
Industry
Marketing Technology / AI Search / Professional Services
Challenge
Identify the positioning, proof and service structure most likely to move mid-market and enterprise buyers from interest in GEO to serious consideration
SmartFocus Method
Nine scenario-specific European business decision-maker and specialist personas in a 99-minute moderated qualitative session
Key Insight
The category label was not the product. Buyers would fund a bounded, governed engagement tied to an existing business priority, not a standalone AI-visibility program.
Time to Insight
Single research sprint, actionable direction without a traditional multi-week focus-group process
02
How SmartFocus Approached It
SmartFocus built nine personas modeled on European business decision-makers and specialists: business owners, sales leaders, marketing executives, communications leaders and AI-search experts. The panel deliberately mixed levels of GEO familiarity. The personas first reacted to the concept in their own words, then defined what would make the service valuable, credible and workable inside their organizations.
Why This Works
Emerging categories often fail because providers explain what the technology does, while buyers ask what problem it solves, who owns it and how success will be measured. SmartFocus moves research beyond “Do you like this concept?” Personas can challenge jargon, expose assumptions and spell out what must be true before interest turns into budget.
03
Key Findings
Commercial outcomes, not mentions, justify investment.
All nine personas rejected AI visibility alone as a business case. The value had to connect to qualified demand, shortlist access, stronger sales conversations or better stakeholder understanding. Being mentioned more often in an AI answer was not enough.
The category needs translation before it can be bought.
Personas new to GEO and those who could define it in sophisticated terms reached the same conclusion. As one put it: “That is still a label, not a service.” Before evaluating an offer, they needed to know what the provider actually changes, what can and cannot be influenced, and how improvement is measured.
GEO should strengthen existing functions, not replace them.
The personas saw GEO’s clearest role at the AI-answer layer: finding where approved information is missing, inaccurate or poorly surfaced, and turning those gaps into improvements across content, search and source materials. They did not want it positioned as a replacement for SEO, content, brand, communications or sales.
A transparent pilot is the threshold for serious consideration.
All nine personas wanted a limited pilot they could inspect before committing to a broader program. The preferred model included:
- A defined set of questions, accounts, products or stakeholder journeys
- A documented baseline
- A limited set of interventions
- A fixed review period and agreed success measures
- A clear decision to stop, continue or expand
Renewal requires a measurement chain, not a GEO score.
The personas were skeptical of isolated visibility metrics. They wanted AI-answer performance linked to source and content improvements, then to a downstream signal such as qualified inquiries, requests for quotation (RFQs), meetings, shortlist status or fewer factual corrections.
Governance is part of the product.
The personas expected the client to retain ownership of claims, priorities and source material. The provider could lead specialist analysis and implementation, but client teams still needed to approve substantive claims and agree how results would be judged.
Different buyers need different proof.
Commercial personas emphasized pipeline and named-account access. Technical B2B personas emphasized qualified RFQs and claim accuracy. Communications personas emphasized factual representation and stakeholder understanding. A single visibility dashboard could not satisfy all of them.
04
What SmartFocus Recommended
- Lead with the business problem. Explain where AI answers are inaccurate, incomplete or missing approved information before introducing GEO terminology, and state plainly what the provider can and cannot influence.
- Package a paid diagnostic and narrow pilot. Set a baseline, agree success measures and a review period, and end with an explicit stop, continue or expand decision.
- Connect measurement to the buyer’s objective. Link answer accuracy and inclusion to source improvements and then to a commercial or stakeholder outcome.
- Build governance into the offer. Assign client ownership for claims, source material and approvals before work begins.
- Tailor proof to the buyer. Use account and sales signals for commercial teams, RFQs and claim accuracy for technical B2B teams, and factual correction for communications teams.
- Test multilingual, cross-border performance. In multinational European markets, confirm that approved information is represented accurately across the languages that matter to the client.
05
Results
- Reframed GEO from generic “AI visibility” into a scoped business-improvement service
- Defined a narrow pilot with clear success measures and a decision gate
- Linked measurement to the business and stakeholder signals buyers care about
- Specified the client ownership and approval model enterprise adoption requires
The Impact
The research changed the question from “How do we sell GEO?” to “What business problem must GEO solve before a buyer will fund it?”
The instinctive pitch was: “We help companies improve their visibility in generative AI.” The proposition buyers would fund was: “We identify where AI-mediated answers are inaccurate, incomplete or failing to surface approved information, improve the underlying sources, and measure whether those changes lead to better buyer or stakeholder outcomes.”
That shift, from AI visibility to accountable business improvement, gave the provider a clearer foundation for explaining the service, structuring a pilot and proving value.
06
The Broader Lesson
It was much simpler:
Improve the answers that matter. Prove it. Connect it to a business outcome. Then earn the right to expand.