The New SEO Metric: Is ChatGPT Recommending Your Business?

Businesses increasingly encounter customers who use ChatGPT to find local companies, explore services, and compare providers. ChatGPT recommendations are becoming a practical consideration in Generative Engine Optimization (GEO), which focuses on how businesses are represented in responses from generative platforms.

A business can be well established in its market and still be absent from some recommendation responses. Monitoring these results can reveal how a company is represented when potential customers use ChatGPT to find a provider.

Test Real Customer Questions

The first mistake businesses make is testing only their company name.

Customers who already know a business can search for it directly. Potential customers often describe a problem, service, or location and ask for recommendations.

For an Omaha roofing company, realistic questions could include:

• Who are roofing companies in Omaha?
• What roofers serve West Omaha?
• Which Omaha companies handle hail damage?
• Who specializes in residential roof replacement?
• What local companies inspect roofs after a storm?

A practical test should cover different customer needs, including:

• General service recommendations
• Specific services or problems
• Omaha neighborhoods and nearby communities
• Emergency or time-sensitive needs
• Service-and-location combinations
• Comparisons between local providers

A company might appear for “roofers in Omaha” but not for “Omaha roofers for hail damage.” This can show whether ChatGPT consistently connects the business with a particular service or customer need.

Keep the exact wording of each question for future comparisons. Also separate branded questions, such as “What services does Company X provide?” from unbranded questions, such as “Who provides residential roofing in Omaha?”

Track ChatGPT Recommendations

A useful review should measure more than whether ChatGPT mentions a business.

For each question, record the date, exact wording, businesses mentioned, descriptions provided, and sources or references when available.

A useful GEO review separates visibility from accuracy. A business might be mentioned but associated with a service it no longer provides or a location outside its current service area.

Document inaccurate mentions separately rather than automatically treating every appearance as a positive result.

Check Business Information

When a company does not appear in a recommendation, the issue may be incomplete or inconsistent business information.

Check whether these details are consistent:

• Services: What the company currently offers
• Locations: Communities it actually serves
• Business details: Name, contact information, and other identifying details
• Specializations: Specific services or project types it handles

For example, a business might describe itself as serving Omaha and Bellevue in one public source while another lists only Omaha. Service descriptions can also differ.

A common misconception is that adding more information everywhere automatically improves ChatGPT recommendations. Consistency is more useful. Conflicting or outdated information can make it harder to establish what a business does and where it operates.

When information conflicts, identify the current version before correcting other sources.

Compare Local Results

Testing similar businesses with the same questions can put a company’s results into context.

For example, three local contractors could be tested with identical questions covering:

• General services
• Specific services
• Omaha locations
• Nearby communities
• Common customer problems
• Provider comparisons

The purpose is not to declare one company better than another. It is to identify differences in how businesses are represented.

A competing company might repeatedly appear alongside a particular service while the subject company appears only for broader questions. Another business might have consistent location descriptions while the subject company’s service area varies.

Raw mention counts are not enough. Frequent appearances with inaccurate information present a different issue from fewer appearances with accurate descriptions.

Investigate Missing Recommendations

Test results can be classified into four practical categories:

• Appears and is accurate: The business appears for relevant questions and is described correctly.
• Appears but has inaccurate information: The business is mentioned, but details are outdated or incorrect.
• Appears inconsistently: The business appears for closely related questions but disappears for others.
• Does not appear: The business is absent from relevant recommendation questions and requires further investigation.

This classification helps prevent businesses from treating every missing mention as the same problem.

First, check whether the question matches the company’s services, location, and customer type. If it does, review whether those services and locations are clearly represented in available business information and whether conflicting details exist elsewhere.

Monitor GEO Results

A single test provides a snapshot. Repeating core tests creates a baseline for identifying changes over time.

Save the original questions, dates, responses, businesses mentioned, descriptions, sources, and factual issues. When testing again, keep core questions, locations, and services consistent so results can be compared meaningfully.

A simple tracking sheet can include:

• Platform
• Date tested
• Exact customer question
• Business mentioned
• Description provided
• Sources referenced
• Accuracy issues
• Other businesses mentioned
• Follow-up needed

This prevents the review from relying on memory or isolated observations. It also provides context when a business changes its services, expands into another community, or updates its public information.

The objective is not to produce a permanent GEO score. It is to determine whether the business’s representation changes over time.

Frequently Asked Questions

Can a business guarantee ChatGPT will recommend it?

No. Responses can vary based on the question, context, available information, and sources used. Testing can measure observed visibility but cannot guarantee a particular recommendation.

How many questions should a business test?

There is no universal number. Cover the company’s major services, important service areas, common customer problems, and realistic recommendation scenarios. A smaller set of relevant questions is more useful than unrelated prompts.

Why does ChatGPT recommend some services but not others?

Different questions can produce different results. A company may be clearly associated with one service but have less information connecting it with another.

Does location change the results?

Yes. A question that includes Omaha, Bellevue, or another community tests a different connection than a general service question. Businesses should test the locations that matter to their customers.

Does appearing first mean the strongest recommendation?

Not necessarily. Position alone does not establish quality, suitability, or customer experience. The business description, services, location, and supporting information also matter.

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