Understanding How AI Mode Search Works in eDirectory

Introduction

AI Mode Search in eDirectory is designed to provide a more flexible and conversational search experience. Instead of relying only on exact keyword matches, AI Mode attempts to understand the user’s intent and return relevant results based on the available content in your directory.

This means AI Mode can be helpful when users search using natural language, incomplete terms, vague descriptions, or even minor spelling mistakes.

However, because AI Mode works differently from traditional search, the results may also behave differently. In some cases, AI Mode may return broader or approximate matches, especially when the available listing data does not contain enough specific information to strongly validate the user’s search.

This article explains how AI Mode Search works, how it differs from traditional search, and how to improve the quality of AI search results in your eDirectory site.

AI Mode Search vs. Traditional Search

Traditional search and AI Mode Search are designed to solve different types of search behavior.

For example, if a user already knows the exact name of a listing, traditional search may feel more predictable. If a user searches more broadly, such as “places to stay with pets” or “restaurants near downtown,” AI Mode may be better suited to interpret the intent behind the search.

What Information AI Mode Uses

AI Mode does not invent information that does not exist in your directory data.

It works with the searchable information already available in your site, such as:

• Listing titles
• Listing descriptions
• Keywords
• Categories
• Locations
• Indexed searchable fields

Because of this, the quality of AI Mode results depends heavily on the quality and completeness of the content available in your directory.

For example, if a hotel listing does not mention “pet-friendly” in its title, description, keywords, category, or other searchable fields, AI Mode may not have a strong enough signal to confirm that the listing allows pets.

Why AI Mode May Return Broader Results

AI Mode is designed to avoid returning no results whenever possible. If the system cannot find strong exact matches, it may return approximate or broader results based on the available signals in the directory.

This can happen when:

• Listings have short or incomplete descriptions.
• Important attributes are missing from listing content.
• Categories are too broad.
• Keywords are not configured.
• The site has a small number of listings.
• The user’s search is vague or open-ended.
• The search term could have multiple meanings.

For example, if a user searches for “pet-friendly hotel,” AI Mode will try to find listings that match that intent. If only a few listings mention pets directly, or if no listings include that information, the system may broaden the search and return hotels or lodging-related results that appear contextually relevant.

This does not mean the AI is creating new information about the listing. It means the available data may not be specific enough to fully confirm the attribute being searched.

Attribute-Based Searches

Some searches depend on specific attributes, such as:

• Pet-friendly
• Open now
• Wheelchair accessible
• Family-friendly
• Free parking
• Outdoor seating
• Accepts reservations
• Emergency service
• Online appointments

These searches work best when the attribute is clearly included in the listing data.

For better results, make sure these details are added directly to the listing description, keywords, or other searchable fields.

For example, instead of a generic description like: Comfortable hotel located near downtown.

A more useful description would be: Pet-friendly hotel located near downtown, offering free parking, breakfast, and family-friendly rooms.

The second example gives AI Mode stronger signals to understand and match the listing with attribute-based searches.

Exact Listing Name Searches

AI Mode is primarily designed as a discovery-oriented search experience. It tries to understand intent and context instead of only matching exact words.

Because of this, if a user already knows the exact name of a business or listing, the traditional search behavior may sometimes feel more direct.

For example, if a user searches for: Phoenix Gym

They may expect one specific listing to appear immediately. AI Mode may still interpret the query more broadly depending on the content available in the directory, especially if there are other listings, categories, or descriptions with related terms.

When testing exact listing name searches, it is important to confirm that:

• The listing title is spelled correctly.
• The listing is active.
• The listing is included in searchable content.
• The listing category and location are correctly configured.
• The listing has enough description and keyword content.
• The search being tested is not too vague or partial.

Misspellings and Typo Tolerance

One advantage of AI Mode Search is that it can better handle common spelling mistakes, incomplete terms, or conversational searches.

For example, if a user types a misspelled query, AI Mode may still be able to understand what the user meant and return relevant results.

This can help reduce friction for real users, since visitors may not always know the exact spelling of a business name, category, service, or location.

However, typo tolerance depends on the available content and the overall quality of the indexed data.

Why Demo or Test Searches May Behave Differently

When testing AI Mode Search, users often test with a specific listing already in mind. This can create a different expectation than a real visitor would normally have.

For example, a site owner may already know that a specific listing exists, search using partial or vague wording, and expect AI Mode to return that exact listing immediately.

Real users usually search differently. They may not know the exact business name, category, or wording used in the listing. In those cases, AI Mode can be useful because it tries to interpret intent instead of requiring exact keyword matches.

When evaluating AI Mode Search, it is helpful to test both:

• Exact searches for known listings
• Natural searches that real visitors may type

This provides a better understanding of how AI Mode behaves in real usage.

Best Practices to Improve AI Mode Search Results

To improve the quality of AI Mode Search results, we recommend keeping listing data complete, specific, and consistent.

1. Use detailed listing descriptions

Avoid very short or generic descriptions. Include the services, features, specialties, and attributes that users may search for.

2. Add important keywords

Use keywords that reflect how visitors may search for the listing. Include common terms, service names, product names, and relevant attributes.

3. Keep categories accurate

Listings should be assigned to the most relevant categories. Broad or incorrect categories can make search results less precise.

4. Keep location information complete

Make sure city, state, country, and address fields are accurate when applicable. This helps with location-based searches.

5. Include important attributes in searchable fields

If users may search for attributes like “pet-friendly,” “free parking,” or “online appointments,” those terms should be included in the listing content.

6. Avoid thin datasets

AI Mode works better when the directory has enough content to compare and rank results. Sites with very few listings or very short descriptions may produce broader results.

7. Test with realistic user searches

Try searches that real visitors would use, not only searches designed to find one known listing. This helps evaluate AI Mode as a discovery tool.

When to Use Traditional Search Instead

Traditional search may be more appropriate when the user is looking for an exact listing name or a very specific keyword.

AI Mode may be more useful when the user is searching by intent, category, need, location, or conversational phrase.

In many cases, both search experiences can complement each other:

• Use traditional search for exact keyword lookup.
• Use AI Mode Search for broader discovery and natural-language searches.

Conclusion

AI Mode Search in eDirectory is designed to provide a more flexible and intelligent search experience by interpreting user intent and working with the searchable content available in your directory.

Because AI Mode depends on listing titles, descriptions, keywords, categories, locations, and indexed fields, the quality of the results depends directly on the quality of the data in your site.

For the best results, keep listing content complete, add relevant keywords, use accurate categories and locations, and include important attributes directly in the listing information.

AI Mode is especially useful for discovery-oriented searches, conversational queries, incomplete terms, and typo tolerance. For exact listing name searches, traditional search may still provide a more direct experience.