SharePoint is widely used to store and manage organizational knowledge, but the default search experience often presents users with lists of documents that offer little context for why those documents appear in the results. Standard SharePoint search results typically show a document title and a short snippet, which may not clearly explain how the content relates to the user’s query. PointFire addresses this limitation with its product, PointFire Search Optimizer, which delivers query-focused summaries directly within the search experience. Instead of relying on generic snippets, the tool generates relevance-based summaries that explain why each document appears in response to a query entered through a SharePoint search query tool.
By combining configurable relevance summaries, AI-enhanced queries, and contextual sentence highlighting, PointFire transforms SharePoint search into a more informative and actionable experience, enabling users to immediately understand the relevance of each result.
What makes the summaries “query-focused” in PointFire
PointFire describes the core feature as “configurable relevance summaries.” Each result gets a short summary explaining why it is relevant to your query, and you can control the summary length, formatting, and which content is included.
Top sentences in context, right in the results list
PointFire pairs the summary with “Top sentences in context,” described as the most relevant sentences from each document, shown in context, so you can see how the query is addressed without opening the file.
PointFire also explains that you can hover over a result to see exact sentences taken from inside the document that are most relevant to the query.
Better inputs before the search runs
PointFire Search Optimizer includes “AI-Enhanced Queries”: suggestions with alternative terms and spellings, stopword filtering, and metadata expressions, with the ANDs, ORs, and parentheses taken care of while you build the query in the SharePoint search query tool.
PointFire Search Optimizer adds query rewriting (also called query reformulation). PointFire describes expansions for synonyms, alternate words, acronyms, and typos, plus operator-aware patterns (including NEAR-style examples), and it states that rewriting works with very little latency without additional calls to the large language model.
How it fits into your SharePoint setup
PointFire describes Search Optimizer as built as an extension to PnP Modern Search, adding AI features to PnP Modern Search “without giving up control,” and it states that no Copilot license is required. PointFire also states that the Search Summarizer is available for SharePoint Online through Microsoft AppSource.
Privacy boundaries and published cost guidance
PointFire states that processing happens within your environment (not a shared one) and that summaries are generated only for documents the user has access to, respecting SharePoint permissions at every step.
PointFire states its recommended AI models generate summaries at around $2 per 1,000 results on Azure, with alternative models available when you want to trade some depth for speed at a lower cost.
PointFire Search Optimizer enhances the search page by replacing snippets with per-result relevance summaries, adding top sentences in context, and improving what the SharePoint search query tool sends to retrieval through AI-Enhanced Queries and query rewriting. The result is SharePoint search results that explain relevance before you open the document.