AddSearch: Ranking Management, Personalization & Result Management

1. Ranking Management

AddSearch gives site managers full control over search result ordering - through both manual tools and AI-driven automation - without requiring engineering changes after initial implementation.

Pinned Results

Specific pages or documents can be manually pinned to the top of search results for defined keywords or keyword groups. A pinned result is guaranteed to appear first regardless of algorithmic ranking - regardless of how content, user behavior, or indexing changes. Useful for driving visibility to critical conversion pages, policy documents, or priority products during campaigns.

Promotions

Promotional banners or result cards can be configured to appear when specific keywords are used. Customizable in design and content; can be used to spotlight key announcements, seasonal campaigns, important content, or key landing pages. Promotions appear alongside standard search results rather than replacing them.

Content Boosting & Burial

Individual pages or entire content categories can be boosted (ranked higher) or buried (ranked lower) without full removal from the index. Useful for promoting high-converting pages or deprioritizing outdated content that shouldn't be deleted but should be less visible to most visitors.

Include / Exclude Content Areas

Specific URL patterns, content types, or site sections can be explicitly included or excluded from search results - providing fine-grained control over what visitors can find through search.

Progressive Ranking (AI/ML-Powered)

Progressive Ranking is AddSearch's AI-driven machine learning ranking feature. It dynamically adjusts result ordering in real time based on which results visitors click for a given query, which results lead to conversions, and trending patterns in recent search behavior. The system continuously learns - rising content is boosted automatically, without manual tuning. This reduces the need for constant manual intervention as site content and visitor behavior evolve. AddSearch leverages AI to identify trending patterns and reorganize search results accordingly.

Relevance Tuning

Field-level relevance weights can be configured: a match in the page title is weighted more heavily than a match in body text; a match in a product identifier is weighted more than a match in a blog post. Custom fields indexed via API can also be weighted.

2. Personalization

AddSearch Personalization customizes search results for individual visitors based on their session behavior - without using cookies or storing personally identifiable information.

How Personalization Works

• AddSearch tracks session-level behavioral signals: pages visited, content categories browsed, search terms used, and results clicked during the current and recent sessions
• Based on these signals, results are reranked to surface content aligning with the individual visitor's apparent interests
• A visitor browsing enterprise pricing pages will see enterprise-related content ranked higher in subsequent searches during that session
• A visitor who has clicked several educational content pieces will see that content ranked higher in follow-on queries

Personalization Configuration

• Personalization events can be passed via the JavaScript API or Indexing API - allowing platforms to supply additional context signals (e.g., logged-in user role, geography, account type)
• Personalization strength is configurable: how much behavioral signals override baseline relevance ranking
• Can be applied per-segment rather than per-individual - e.g., different default result ordering for enterprise vs. SMB visitors

3. Smart Recommendations

The Smart Recommendations engine surfaces related content alongside search results to support upselling and content discovery. Recommendations are based on content similarity, behavioral data, and manual curation rules. Configurable to promote specific content categories or prioritize particular content types for defined query types.

Positioned as a tool to keep visitors engaged and moving through the site - reducing abandonment by proactively suggesting relevant next steps rather than leaving users at a results list dead end.

4. Auto Synonyms

Powered by OpenAI. Automatically monitors no-result queries and expands searches with contextually relevant synonyms based on the site's content and visitor search behavior patterns. Reduces bounce rates from failed searches without requiring manual synonym dictionary management. Available in 21 languages. Synonyms can be reviewed and managed in the AddSearch dashboard before activation.