By Scott Levy | CEO, Fuel Online | Cited in Forbes, CNN, Entrepreneur | Updated: September 19, 2026

TL;DR Executive Summary

The Opportunity Customers can discover a business through search results, generated answers and source citations. A useful strategy supports these connected experiences without assuming every audience behaves the same way.

The Approach Generative engine optimization connects accessible content, clear business information, credible evidence and measurement with established SEO work.

The Decision Compare agencies by the problems they identify, the work they will deliver and how they will measure progress. Ask who owns implementation, expert review and reporting before choosing a partner.

The Action Use the questions below to assess implementation capability, content quality and reporting. Ask for examples and limitations before deciding on an engagement.

Part 1: Search and Answers in the Customer Journey

Search remains an important source of discovery. Generated answers introduce another way for people to explore a question, compare options or find a source. The effect varies by audience and query; it is not a universal replacement of organic traffic.

A customer may read an AI-generated answer, follow a citation or open an ordinary search result. Your website should make the offering clear and give that person a useful next step in each case.

This executive guide explains GEO and the questions worth asking a potential partner. It treats technical SEO, content, evidence and AI discovery as related work rather than declaring established search practices obsolete.

Part 2: What Is Generative Engine Optimization?

Generative engine optimization, or GEO, describes work intended to improve how useful business information can be discovered and represented in AI-assisted answers. It can support visibility in experiences such as Google AI features, ChatGPT and Perplexity, but does not guarantee inclusion.

Search systems consider relevance and meaning, not simply exact keyword repetition. AI-assisted products can combine retrieval, model knowledge and other tools; their behavior is not identical across platforms or requests.

For executives, the practical question is whether the information customers need is accessible, understandable and supported.

Entities are identifiable people, organizations, products or concepts. Clear relationships and consistent naming help describe an offering accurately across service pages, author profiles and business information.

Use accurate business information and appropriate structured data to clarify what the page actually says. Connect the service, provider and supporting content consistently, and validate the implementation against the visible page.

Assess the answers customers encounter and the referrals that reach your site. Include established content in the review: valuable service explanations and expert resources may already provide a strong foundation for AI discovery.

The Strategic Imperative of GEO

Evaluate GEO investment against your audience, current visibility, content gaps and implementation needs. Connect each proposed change to a buyer question or technical issue, then measure completed work, observed visibility and qualified inquiries separately.

A generative engine optimization agency should turn its diagnosis into a practical engagement: an access and indexing review, a map of buyer questions to existing pages, prioritized content briefs, appropriate structured-data recommendations and a measurement plan. Agree which changes the agency implements and which need your developers or subject-matter experts. Fuel Online’s AI SEO services bring technical search, content, business information and reporting into that conversation.

Part 3: Useful Information and Clear Identity

Effective content makes its topic, purpose and supporting evidence clear. This matters to readers and to systems that retrieve and interpret information.

Repeating a phrase does not replace answering the question. Use relevant language naturally and provide the context a customer needs to make a decision.

Assess clarity, usefulness and evidence instead of chasing a universal keyword-density target.

Original research, documented experience and well-explained examples can make a page more useful. Review competing answers to identify what customers still need to understand, then contribute relevant evidence and practical detail.

A practical review can focus on business identity, useful evidence and consistency.

Business identity: explain who provides the service, what it includes and where relevant information can be verified. Use structured data that accurately describes visible content and fits supported types.

Useful evidence: connect claims to sources, methods or documented experience. Explain how an example applies to the buyer’s situation, what the result measures and where its limitations matter.

Consistency: keep names, services, people and locations accurate across the places customers encounter the brand. Connect relevant independent coverage and expert profiles to the claims they help a reader evaluate.

Part 4: A Practical Agency Evaluation Framework

An agency evaluation should focus on observable work. Compare examples, implementation ownership and how results are assessed, not broad claims about the competence of the entire industry.

Use these three areas to compare proposals: the quality of the diagnosis, the content production process, and the team’s ability to implement and measure the work.

Evaluate the diagnosis

Ask the team to identify the specific problems and opportunities it has observed. A useful diagnosis connects evidence to affected pages, customers and business priorities.

Search metrics and third-party authority estimates can inform a review, but they are not the entire business outcome. Ask what each measure supports and what its limitations are.

Evaluate content quality and production

Ask how topics are selected, sources checked and work reviewed. Production tools and scale should support useful coverage rather than repeated pages with little distinct value.

Request examples that show the editorial process in practice.

Review sample content for accurate answers, clear sourcing and a distinct purpose. Ask how the team checks quality across larger programs, updates aging pages and resolves overlapping topics.

Evaluate implementation and measurement

Ask who owns the technical work, content decisions and reporting, including coordination with your internal specialists.

A capable team can explain its proposed changes, dependencies and acceptance checks. Its reporting should separate access and indexing checks, content improvements and observed answers so you can see what was delivered and what changed.

Look for a practical plan that connects search demand, useful content, accurate identity and business outcomes. Evaluate completed work separately from later changes in visibility or leads.

Part 5: The Executive Vetting Guide

Use these questions to clarify scope and compare evidence. A good answer explains what the team will do, how it will verify the work and where uncertainty remains.

Question 1: How will you represent our business accurately?

Ask for a plan covering service descriptions, relevant people and locations, supporting evidence and appropriate markup. Confirm how inconsistencies will be found and corrected. A diagram or code sample can help, but is not itself proof of better visibility.

Question 2: What makes our content useful and credible?

Ask which buyer questions the content answers, what evidence supports it and who reviews specialized claims. There is no universal originality percentage or information-gain score that guarantees ranking.

Question 3: How will you measure AI discovery?

Use a repeatable question set and record the product, date, search setting and location where known. Separate mentions, citations and factual accuracy from referral visits and qualified outcomes. Report the sample denominator instead of presenting a prompt benchmark as market-wide share.

Question 4: What structured data is appropriate?

Use supported markup that matches visible content and validate the complete graph. A plugin or custom implementation can be suitable depending on the site. Nested markup and FAQ schema are not universal requirements for AI citations.

Question 5: How does this work fit our existing SEO?

Ask how the plan connects technical access, useful content, relevant evidence and conversion paths. Prioritize work based on your site and audience rather than automatically abandoning keyword research, existing SEO or a particular channel.

Retrieval, training and the measurement baseline

Some AI experiences retrieve web information while answering; others rely on model knowledge or different tools. Publishing a page does not mean it has been added to model training. OpenAI documents separate controls for its search and training crawlers. Read OpenAI’s crawler documentation.

Google’s guidance connects generative search visibility with established SEO foundations. It does not require special AI schema or llms.txt for Google rankings. Read Google’s AI optimization guide.

Before changes, save representative buyer questions and their observed answers. Repeat the same conditions, retain cited URLs and check whether the answer describes the business correctly. Review analytics and qualified inquiries separately; a mention or citation does not by itself establish revenue.

Conclusion: Choose a Plan You Can Evaluate

AI-assisted discovery is worth investigating alongside established search performance.

Start with a documented baseline and the information your customers need. Prioritize technical access problems, important unanswered questions and outdated business information, then agree on owners and a review schedule.

Ask your agency to explain completed work, observed results and unresolved questions in terms your business can use.

Choose a partner based on relevant experience, implementation capability and transparent measurement. Revisit priorities as evidence develops.

Audit Your Digital Future

Bring your website, priority services and growth goals to a GEO strategy discussion. The next step is to define the pages and questions in scope, establish a baseline, identify implementation dependencies and agree how completed work and business outcomes will be reviewed.

Discuss Your GEO and AI Search Priorities

Contact Fuel Online to discuss your website, target customers and the scope of an AI search engagement. Availability and responsibilities should be confirmed as part of the conversation.

Scott Levy CEO Fuel Online

Scott Levy

CEO & Founder, Fuel Online
Scott Levy is a pioneer in digital marketing with over 25 years of experience architecting growth for Fortune 500 brands. An expert in Generative Engine Optimization (GEO) and AI search strategies, he has been featured in Forbes, Entrepreneur, and CNN. He leads Fuel Online’s work connecting search strategy, content and measurement for business growth.
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