QUICK ANSWER
When choosing a GEO agency, ask about their methodology, measurement framework, number of LLM platforms tracked, signal consistency auditing, and measurable case studies. Agencies that only mention 'content optimization' are offering SEO, not true GEO.
Key Insights
- SEO and GEO are not the same thing: A traditional SEO agency claiming to offer GEO services doesn't necessarily mean they can perform real LLM optimization.
- Methodology is critical: Saying "we optimize your content" is not enough — signal analysis, structured data, and multi-platform monitoring are required.
- Measurability is essential: An agency that cannot track progress with concrete metrics like a Perception Score cannot guarantee real results.
- Multi-platform approach: A strategy focused only on ChatGPT is incomplete — Perplexity, Gemini, Claude, and AI Overviews must be included.
AI visibility and Generative Engine Optimization (GEO) are rapidly gaining traction. This popularity brings a problem: many SEO agencies are adding a "GEO" label to their existing service portfolio and declaring their entry into this space. But the difference between genuine GEO expertise and repackaged SEO services is enormous. Here are 8 critical questions that will help you choose the right agency or consultant.
Why These Questions Matter
Working with the wrong GEO agency doesn't just mean wasted budget. Wrong strategies can actually worsen your brand's perception in AI systems. Inconsistent signal optimization, incorrect schema implementation, or a single-platform approach can cause damage that takes months to repair.
GEO is still a maturing discipline. Certification programs are limited, standard methodologies haven't been established, and the line between "expert" and amateur is blurry. This is why asking the right questions is the most reliable method to ensure you work with a competent partner.
The following 8 questions are grounded in the core principles of the Perception Control discipline and can be used to evaluate any GEO agency or consultant.
Question 1: What Is Your Methodology?
This is the most fundamental and most important question. A GEO agency's methodology is the clearest indicator of its true competence.
Red flag: If you receive a generic answer like "We optimize your content for AI," be cautious. This may be repackaged traditional SEO content optimization. Content optimization is part of GEO, but it's not sufficient on its own.
Good answer indicators: The agency should present a methodology that covers multiple dimensions, including signal analysis, structured data auditing, multi-platform monitoring, source density enhancement, and message consistency optimization. The steps of the process should be clear, and each step should have a justifiable purpose.
At ARGEO, our methodology consists of 4 phases: Analysis (mapping the current perception state), Strategy (signal optimization plan), Implementation (technical and content changes), and Monitoring (continuous performance tracking and iteration). Each phase produces concrete deliverables and feeds the next phase.
Question 2: How Do You Measure Results?
What cannot be measured cannot be managed. Measurement in the GEO space is far more complex than traditional SEO because LLM responses are not deterministic — you can get different answers when you ask the same question twice.
Red flag: Answers like "We track your rankings" or "We report traffic growth" indicate that the agency is limited to traditional SEO metrics. LLM visibility cannot be measured by search rankings.
Good answer indicators: The agency should offer specific tools and methods for monitoring brand visibility in LLM responses. Methods such as prompt test sets, response consistency measurement, competitor comparisons, and trend analysis over time should be employed.
Question 3: How Many LLM Platforms Do You Monitor?
AI visibility is not limited to a single platform. ChatGPT may be the most well-known LLM, but users also actively use Perplexity, Google Gemini, Anthropic Claude, Microsoft Copilot, and other platforms.
Red flag: Single-platform answers like "We focus on ChatGPT" or "We drive visibility on Perplexity" are insufficient. Each platform has different data sources, different weighting mechanisms, and different user profiles.
Good answer indicators: The agency should regularly monitor at least 4-5 major LLM platforms (ChatGPT, Perplexity, Gemini, Claude, Copilot) and Google AI Overviews. While developing separate tactics for each platform, they should follow a strategy that simultaneously strengthens foundational signal quality across all platforms.
ARGEO's multi-platform monitoring infrastructure covers all major AI platforms including ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.
Question 4: How Do You Audit Signal Consistency?
Signal consistency is the most fundamental building block of AI visibility. The message your brand delivers across your website, social media, press releases, industry publications, and all other digital touchpoints must be consistent.
Red flag: If the agency seems unfamiliar with the concept of signal consistency or defines it merely as "consistent content production," they don't sufficiently understand how LLMs process information.
Good answer indicators: The agency should offer an auditing process that comprehensively scans your brand's digital footprint to identify inconsistencies. This audit should cover all digital touchpoints including website messaging, metadata, schema markup, social media profiles, press releases, third-party references, and directory listings.
Question 5: Do You Have Experience with Schema Markup and Structured Data?
Structured data is a critical infrastructure component for LLMs to correctly understand your brand. Organization schema, Product schema, FAQ schema, Speakable schema, Author schema, and other structured data types ensure that models have clear and reliable information about your brand.
Red flag: If the agency treats schema markup only in the context of SEO or says "we do basic schema implementation," they may not be aware of AI-specific structured data optimization.
Good answer indicators: The agency should know which schema types are particularly important for LLMs and be able to explain how to implement them strategically. They should be knowledgeable about Knowledge Graph integration, Wikidata entries, and AI-specific standards like llms.txt.
Question 6: Can You Share Case Studies?
GEO is still a new discipline, so comprehensive case studies may be hard to find. However, a competent agency should be able to share at least some early success stories or pilot project results.
Red flag: If the agency cannot show any concrete results or only offers traditional SEO case studies, they may not have sufficient experience in the GEO space.
Good answer indicators: The agency should present specific examples where they improved brand visibility in LLM responses. These examples should include the starting state, the strategy implemented, the timeline, and measurable outcomes. Even if they can't share full case studies, they should be able to offer anonymized data or general result summaries.
Question 7: Do You Have a Measurable Framework Like a Perception Score?
One of the most important indicators of successful GEO work is the framework used to measure progress. In traditional SEO, there are established metrics like Domain Authority, keyword rankings, and organic traffic. In GEO, there are no industry-wide standard metrics yet.
Red flag: If the agency measures progress only through anecdotal evidence ("ChatGPT now recommends you") or traditional SEO metrics, they lack a sufficient framework.
Good answer indicators: The agency should offer a scoring system or framework that measures AI visibility across multiple dimensions. This framework should include components such as source density, message consistency, structured data quality, platform coverage rate, and third-party reference strength.
ARGEO's Perception Score was developed specifically to address this need. You can explore our detailed article on what Perception Score is and how it's calculated.
Question 8: Are You Adding to SEO, or Are You Focused on GEO?
This question reveals whether the agency views GEO as a strategic discipline or merely as an extension of existing SEO services. Both approaches can be valid, but it's important to be aware of the difference.
Red flag: If the agency defines GEO as "the new version of SEO" or "SEO for AI," they don't grasp the fundamental differences of this discipline. SEO and GEO are overlapping but distinct disciplines — they require different goals, different metrics, and different tactics.
Good answer indicators: The agency should be able to clearly articulate the differences between SEO and GEO. SEO optimizes search engine rankings; GEO optimizes brand perception in AI systems. A good agency can do both, but they distinguish between these two disciplines and develop separate strategies for each.
An agency truly focused on GEO understands at a technical level how LLMs work, can perform signal analysis, has deep expertise in structured data, and continuously monitors multiple AI platforms. This is not a layer added on top of traditional SEO — it's a discipline in its own right.
How ARGEO Answers These 8 Questions
In the spirit of transparency, let's answer these 8 questions for ourselves:
Methodology: A 4-phase systematic framework — Analysis, Strategy, Implementation, Monitoring. Each phase includes concrete deliverables and KPIs.
Measurement: We use the Perception Score metric, multi-platform prompt tests, monthly comparative reports, and trend analyses.
Platform coverage: ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews — we regularly monitor all major AI platforms.
Signal consistency: We conduct a 360-degree digital footprint audit to identify and correct inconsistencies across all touchpoints.
Structured data: We perform comprehensive schema implementation including Organization, Product, FAQ, Speakable, and Author schema, along with Knowledge Graph and Wikidata optimization.
Case studies: We are building early success stories together with our clients and sharing results transparently.
Framework: The Perception Control framework and the Perception Score metric are measurable tools developed by ARGEO.
Focus: ARGEO is the first purpose-built consultancy dedicated to GEO and Perception Control. We don't offer SEO services — we focus entirely on AI visibility and Perception Control.
Conclusion: Ask the Right Questions, Work with the Right Partner
The GEO and AI visibility space is growing rapidly and bringing many claims along with it. By asking these 8 questions, you can distinguish between a partner with genuine GEO expertise and an agency offering superficial services.
Remember: your brand's perception in AI systems is now one of your most valuable assets. Choosing the right partner to manage this perception is critical for your long-term success.
Meet ARGEO. Reach out to us through our contact page or get detailed information about our services. Your first Perception Assessment is free.
About the Author
Faruk Tugtekin
Founder, ARGEO
AI Visibility strategist specializing in how large language models interpret, trust, and reference brands. Author of the Perception Control framework and the AI Perception Index.
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