For SaaS products, the shortlist is often decided at the level of individual features. A buyer does not ask only for “the best email tool”; they ask which tool sends signed webhooks with retries, which one has a visual automation builder, which one supports dynamic segments. If AI assistants do not connect your product to those capabilities, you are invisible for exactly the questions that indicate strong intent. Feature strength makes this layer measurable.
Features taken from your own website
Narrashift reads your website and identifies the product features you actually describe, each with a short description, a quote and the page it came from. Features are not invented from general knowledge of your category: if your website does not mention a capability, it is not listed as yours. This keeps the analysis grounded and makes gaps in your documentation visible.
For each feature, the analysis assesses which of your tracked competitors offer something comparable and summarizes pros and cons as stated in public information. These assessments are clearly labelled as AI assessments of your website and public information, separate from the measured results below.
Questions for every feature
The most important part is the questions. For every feature, Narrashift writes buyer questions that a person evaluating that capability would ask, phrased without your brand name. These questions join your monitored prompt set, so every monitoring run tells you how often AI assistants mention and recommend you when someone asks specifically about that feature.
Each feature card then shows measured results: your AI visibility for the feature's questions, your recommendation rate, the number of answers, what AI answers praise or criticize about you in that context, and which competitors are named for the feature with their own visibility. Every question links to its answers.
Where feature gaps come from
When competitors are recommended for a feature you also offer, there are usually three possible explanations: your public documentation does not describe the feature clearly enough, the information AI relies on is outdated, or there is a real product difference. Narrashift helps you tell them apart by showing the quoted evidence from your website next to the answers that left you out.
Feature gaps become opportunities with high relevance, because the feature is confirmed on your own site. The resulting actions are specific: expand the relevant page, add a section that answers the feature questions directly, or create a dedicated feature page — always limited to capabilities you can document. Narrashift never suggests claiming a feature your website does not support.
Re-analyze as your product grows
When you ship new features or rewrite your website, run the feature analysis again. Existing features keep their history, new ones get their own questions, and the following monitoring runs show how AI picks up the change. Combined with the Impact tracker, this gives you a direct line from a documentation improvement to the visibility of a specific capability.
Why feature-level visibility matters for SaaS
Questions about specific capabilities usually come later in the buying process, when a team already knows what it needs. They are fewer than broad discovery questions, but they carry stronger intent: a buyer asking which tool supports idempotent API requests is close to a decision. Being named for those questions is often worth more than an occasional mention in a generic list of popular tools, and it is also easier to influence, because it depends largely on how clearly your own documentation explains the capability.