Power of Replacing Snippets with Query-Aware Summaries in SharePoint Search
PointFire Search Summarizer is positioned as a way to help users evaluate SharePoint search results faster by replacing unhelpful snippets with query-aware summaries and “top sentences in context,” so users can decide what to open without opening files. PointFire describes the summaries as “dynamic and fast,” generated instantly and tailored to each search instead of showing the same summary to everyone. It also lists AI-enhanced queries that suggest alternative terms and spellings and can suggest alternative terms and spellings and optimize the query string (for example by adjusting operators or removing unnecessary terms) before submitting it to SharePoint search. Processing happens within your environment, summaries respect SharePoint permissions, and the tool extends PnP Modern Search without requiring a Copilot license.
PointFire Search Summarizer plugs into PnP Modern Search as an extension. On its page, they say the summaries are “dynamic and fast,” creating query-aware summaries instantly, tailored to each search instead of showing the same summary to everyone.
They frames this as AI that improves the search experience without replacing it. Instead of relying on vague snippets, users get relevance-based summaries and highlighted sentences that explain why a result matches the query. The goal is faster judgment inside the results list, before opening files.
Query-aware summaries, defined by product features
PointFire Search Summarizer is query-aware in two specific ways. First, each search hit can include a short summary explaining why the document is relevant to the query you typed. Second, it can show “top sentences in context,” so users see where the query is addressed without opening the file. It describes ‘Personalized Summaries,’ stating the AI adapts to your search and delivers summaries focused on your specific needs.
What PointFire Search Summarizer changes in daily search
PointFire describes summaries as configurable
PointFire calls the summaries configurable: you control summary length, formatting, and what content gets included.
The query can be improved before it runs
AI-enhanced queries can suggest alternative terms and spellings, apply stopword filtering, and add metadata expressions and can help construct optimized KQL queries, including correct use of AND/OR operators and parentheses, before submitting them to SharePoint.
The summaries run within your environment
PointFire states that processing runs within your Microsoft 365 and Azure environment, and summaries are generated only for documents the user is authorized to access. It also lists cost options, noting that it depends on the Azure OpenAI model selected and token usage. For example, with recommended models and typical summary lengths, costs may approximate a few dollars per 1,000 summarized results.
Where it fits
Search Summarizer is positioned as an extension to PnP Modern Search that integrates with an existing SharePoint environment, adding AI features “without giving up control.” They also note that no Copilot license is required. This is where SharePoint search summaries enhance results without replacing the search experience.
This is framed by adding AI-enhanced query suggestions before execution, and query-aware summaries plus top sentences in context after results are returned.
