Originally published on The Searchless Journal
Generative Engine Optimization is a real service category now. ChatGPT has a billion monthly active users. Google AI Overviews appears on 40% of Google searches in the US. Perplexity processes millions of queries daily. Brands are realizing they need to be visible in AI answers, and a growing number of agencies and consultants are offering GEO services to help them get there.
The problem: GEO is new enough that there are no industry standards, no certifications, no established best practices that everyone agrees on, and no easy way for brands to evaluate whether a GEO provider actually knows what they're doing.
This guide is for brands that are considering hiring a GEO agency or consultant. It defines what GEO services should include, what deliverables to expect, how pricing typically works, what separates legitimate GEO providers from SEO agencies that slapped a new label on their existing services, and what questions to ask before signing a contract.
What GEO Services Actually Include
A comprehensive GEO service offering covers several distinct workstreams. Not every provider offers all of them, and the best providers customize the mix based on the brand's needs. Here's what a complete GEO engagement should include:
AI Visibility Audit
The starting point for any GEO engagement. An AI visibility audit measures how often and how accurately a brand appears in AI-generated answers across the major AI engines: ChatGPT, Perplexity, Google Gemini, Google AI Overviews, and Microsoft Copilot.
A proper audit tests dozens or hundreds of relevant queries across different query types: brand queries ("what is [brand]"), category queries ("best [product category] for [use case]"), comparison queries ("[brand] vs [competitor]"), and informational queries ("how to [task related to brand's domain]"). For each query, the audit documents whether the brand appears, what the AI says about it, whether the information is accurate, and how the brand compares to competitors.
The output should be a detailed report with query-level visibility data, accuracy scores, competitive benchmarking, and a prioritized list of optimization opportunities.
Citation Analysis
Citation analysis identifies the sources that AI engines reference when generating answers about your brand and your category. AI engines cite web sources, knowledge graph entities, structured data, and third-party platforms. Citation analysis maps these sources and identifies gaps where your brand lacks the citation material that would help AI engines understand and recommend you.
For example, if ChatGPT consistently recommends three competitors over your brand in category queries, citation analysis can reveal that all three competitors have rich G2 profiles, Wikipedia entries, and detailed comparison content, while your brand has none of these. The fix is clear: build the missing citation sources.
Structured Data Implementation
Structured data is the technical backbone of AI visibility. AI engines use schema markup to understand what your pages mean, not just what they say. GEO services should include a structured data audit (what you have, what's missing, what's wrong) and implementation (adding or fixing schema markup on your site).
Key schema types for AI visibility include: Organization, Product, SoftwareApplication, FAQ, HowTo, Article, Review, and BreadcrumbList. The specific types depend on your business model and content.
Knowledge Graph Optimization
AI engines rely on knowledge graphs to understand entities (brands, products, people, concepts). Knowledge graph optimization ensures your brand exists as a well-defined entity in the major knowledge graphs: Google Knowledge Graph, Wikidata, and the AI engines' internal knowledge bases.
This work includes creating or updating Wikidata entries, claiming and verifying Google Business profiles, ensuring consistent entity information across the web, and building the third-party signals (reviews, listings, mentions) that reinforce knowledge graph presence.
Content Optimization for AI Citation
AI engines cite content that is clear, well-structured, and authoritative. Content optimization for AI citation involves reviewing existing content and creating new content that is optimized for AI comprehension and citation.
This includes: improving content structure (clear headings, bullet points, tables), adding expert attribution and citations, creating comprehensive comparison and category content, and ensuring that key product and service information is presented in formats that AI engines can easily parse.
Multi-Platform Monitoring
AI visibility changes over time as AI engines update their training data, algorithms, and recommendation logic. Multi-platform monitoring tracks your brand's AI visibility across all major platforms on an ongoing basis, typically monthly, and reports on changes, trends, and competitive dynamics.
Monitoring is essential because AI visibility can shift suddenly. A competitor's new content campaign, an AI engine's algorithm update, or a change in your own web presence can all affect whether your brand appears in AI answers. Without monitoring, you won't know until you've lost visibility.
llms.txt Setup and Maintenance
llms.txt is a proposed standard for providing AI engines with structured information about your website and content. Think of it as robots.txt for LLMs. A GEO service should include setting up and maintaining your llms.txt file, which tells AI engines what content to prioritize, how to understand your site structure, and what information is most authoritative.
What Deliverables to Expect
When you hire a GEO provider, you should expect concrete, measurable deliverables. Here's what a standard GEO engagement should produce:
Month 1: Audit and Strategy
- AI visibility audit report with query-level data
- Citation gap analysis
- Structured data audit
- Knowledge graph presence assessment
- Competitive benchmarking
- Prioritized optimization strategy
Months 2-3: Implementation
- Structured data implementation (or recommendations for your dev team)
- Knowledge graph entity creation and updates
- llms.txt setup
- Content optimization for high-priority pages
- Third-party listing improvements (G2, Capterra, etc.)
- Comparison content creation or improvement
Month 4 and Ongoing: Monitoring and Iteration
- Monthly AI visibility monitoring reports
- Ongoing content optimization based on monitoring data
- Structured data maintenance as your site evolves
- Quarterly strategy reviews
- Competitive tracking
The exact timeline varies based on the scope of the engagement and the size of your web presence. Enterprise brands with thousands of pages will need more time for structured data implementation than a startup with a 10-page website.
How Pricing Works
GEO pricing is still settling into industry norms, but here are the typical ranges based on what we see in the market:
AI Visibility Audit (one-time): $2,000 to $10,000 depending on the number of queries tested, the number of platforms covered, and the depth of competitive analysis. A basic audit covering 50 queries across 3 platforms might cost $2,000-$3,000. A comprehensive audit covering 200+ queries across 5+ platforms with full competitive benchmarking runs $7,000-$10,000.
Ongoing GEO Optimization (monthly retainer): $3,000 to $15,000 per month. This typically includes monitoring, content optimization, structured data maintenance, and ongoing strategy. The range reflects the scope of work: a small business with one product in one market pays less than an enterprise with multiple products across multiple markets.
Enterprise GEO Programs: $15,000+ per month for large organizations with complex web presences, multiple brands or products, and global markets. Enterprise programs typically include dedicated team resources, custom monitoring dashboards, and executive reporting.
Most GEO providers price based on the scope of the engagement rather than performance-based models. This makes sense because GEO results take time: meaningful citation improvements typically take 2-6 months to materialize, and AI engine algorithms are not fully controllable.
Be wary of providers who guarantee specific visibility percentages or rankings. AI engines are fundamentally different from Google Search, and no provider can guarantee specific outcomes because the AI models' behavior is not directly controllable through optimization alone.
Red Flags: How to Spot SEO Agencies Rebranding as GEO
The biggest risk in the GEO services market right now is hiring an SEO agency that has rebranded its existing services as "GEO" without actually building AI-specific expertise. Here are the red flags:
They only optimize for Google. If a provider's GEO strategy is limited to Google AI Overviews and ignores ChatGPT, Perplexity, and Gemini, they're doing SEO with a thin GEO veneer. Real GEO providers work across all major AI platforms because each has different citation and recommendation logic.
They talk about backlinks as the primary signal. Backlinks matter for traditional SEO, but AI engines use fundamentally different signals for recommendations. If a provider's GEO strategy revolves around building backlinks, they're applying SEO thinking to a different problem.
They don't test across AI platforms. A real GEO provider will show you specific test results: here's what ChatGPT says about your brand, here's what Perplexity says, here's how you compare to competitors on each platform. If a provider can't or won't show you this data, they probably don't have it.
They can't explain how AI engines surface recommendations. Ask a prospective GEO provider to explain the difference between how ChatGPT and Perplexity generate product recommendations. If they can't articulate the differences in citation logic, knowledge graph usage, and recommendation patterns, they don't have the expertise you need.
Their deliverables are SEO deliverables with "AI" added to the titles. If the proposed deliverables are "AI keyword research," "AI content optimization," and "AI technical audit" without specific AI visibility measurement, citation analysis, or knowledge graph work, you're getting SEO with a label change.
Questions to Ask Before Hiring a GEO Provider
Before signing with any GEO provider, ask these questions and evaluate the answers carefully:
"Which AI engines do you audit and optimize for?" The answer should include at minimum ChatGPT, Perplexity, Google AI Overviews, and Gemini. Bonus points for including Microsoft Copilot, Claude, and emerging platforms.
"How do you measure AI visibility?" The answer should involve specific, quantifiable metrics: visibility rate (percentage of relevant queries where the brand appears), accuracy rate (percentage of appearances where the information is correct), competitive share (percentage of recommendations vs. competitors), and platform-specific breakdowns.
"Can you show me an example audit report?" A legitimate GEO provider should be able to share a sample audit (anonymized if necessary) that shows query-level visibility data, citation analysis, and competitive benchmarking. If they can't show you what their work looks like, that's a problem.
"What is your citation methodology?" The answer should describe how they identify the sources AI engines use, how they map citation gaps, and how they prioritize citation-building efforts. Vague answers like "we optimize your content for AI" are not sufficient.
"How do you track changes in AI engine behavior?" AI engines update their models and recommendation logic regularly. A good GEO provider has a systematic approach to detecting these changes and adapting strategy accordingly.
"What structured data schemas do you typically implement?" The answer should include specific schema types (Organization, Product, FAQ, SoftwareApplication, etc.) and an explanation of how each contributes to AI visibility. If the answer is generic ("we add schema markup"), dig deeper.
"Can you show before-and-after data from a previous engagement?" Legitimate GEO providers should be able to demonstrate measurable improvements in AI visibility for previous clients. If every result is "confidential," ask for at least aggregate data or anonymized case studies.
"How long until we see results?" The honest answer is 2-6 months for meaningful citation improvements. If a provider promises results in weeks, they're either overpromising or defining "results" so loosely as to be meaningless.
"What happens if an AI engine changes its algorithm?" The answer should describe their monitoring process, how they detect algorithm changes, and how they adapt strategy. AI engines are less predictable than Google Search, and adaptability is essential.
"What is your approach to knowledge graph optimization?" The answer should include specific platforms (Wikidata, Google Knowledge Graph, Crunchbase), entity definition work, and third-party signal building. If they don't mention knowledge graphs at all, that's a major gap.
The AI Visibility Audit as Entry Point
Most GEO engagements start with an AI visibility audit, and for good reason. The audit establishes a baseline, identifies the highest-impact optimization opportunities, and gives both the brand and the provider a shared understanding of the current state.
If you're not ready to commit to an ongoing GEO engagement, start with a standalone audit. It will give you actionable insights you can implement on your own (structured data fixes, third-party listing improvements, content optimization) and a clear picture of where you stand relative to competitors.
A good audit is also the best way to evaluate a GEO provider before committing to a larger engagement. If their audit is thorough, data-driven, and provides clear recommendations, that's a good sign. If it's superficial or generic, you've learned something valuable without a big commitment.
Making the Decision
Hiring a GEO provider is a strategic investment in a channel that's growing rapidly but still maturing. The right provider will help you build AI visibility infrastructure that compounds over time: as AI engines become more important for discovery, your visibility improves while competitors who didn't invest fall behind.
The wrong provider will cost you time and money while delivering SEO work dressed up as GEO. The market is full of agencies that have added "AI" to their service descriptions without building the underlying expertise.
Take the time to evaluate providers carefully. Ask the questions above. Insist on seeing sample work and case studies. Start with an audit before committing to ongoing work. And remember that the best GEO provider for your brand is one that demonstrates genuine expertise in AI engine behavior, not just traditional search optimization.
AI discovery is becoming the primary way people find products, services, and brands. The GEO provider you choose will play a significant role in determining whether your brand is visible in that future or invisible.
Related: GEO Pricing: How Much GEO Costs in 2026 | GEO Consultant vs GEO Agency: Which to Hire | GEO vs SEO: Complete Comparison
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