Narrative Intelligence
By Ali Morgan, Founder and AI Visibility Architect
AI Presence scans signals across your ecosystem — scanner data patterns, retrieval cycle results, mention gaps, outreach response rates, and product milestones — to surface narrative opportunities you would not see looking at any single data source. Each narrative brief is scored automatically on three dimensions: newsworthiness (is anyone else saying this?), authority fit (can you speak credibly here?), and entity leverage (how many of your properties does this activate?). Briefs scoring above threshold surface on the dashboard with recommended content engines and one-click generation. The system learns which angles generate journalist responses and which fall flat, recalibrating recommendations based on accumulated outreach data.
Most founders and marketing teams operate reactively. Something happens — a competitor raises funding, a platform launches a new feature, an industry report drops — and the scramble begins. The content that results is rushed, undifferentiated, and arrives after every other company in the space has already published their take. Narrative Intelligence inverts this pattern by identifying the story before the news cycle catches up.
The system works by correlating data across four distinct signal categories. When scanner data shows a new competitor appearing in AI retrieval results, mention tracking reveals a gap in coverage for a topic you own, outreach data indicates journalist interest in a particular vertical, and your product roadmap includes a relevant milestone — those four signals converge into a single narrative brief. No human analyst would connect those dots across four separate dashboards. Narrative Intelligence does it automatically.
Three Scoring Dimensions
Every narrative brief that surfaces in AI Presence is evaluated against three scoring dimensions before it reaches your dashboard. These dimensions ensure you spend time only on angles that have a realistic chance of generating coverage, building authority, and activating your entity architecture.
Newsworthiness measures whether the angle is genuinely timely and underreported. The system checks recent coverage across monitored outlets, scans AI retrieval results for existing answers on the topic, and evaluates whether any competitor has already claimed the narrative. A high newsworthiness score means nobody else is saying this yet — you have a window to own the angle before it becomes commodity content. A low score means the story is already saturated and your pitch will land in a crowded inbox.
Authority Fit evaluates whether your entity has the credibility to speak on this topic. It pulls from your entity definitions, founder bio, product descriptions, and historical coverage. If your company builds developer tools and the narrative brief is about enterprise HR software, the authority fit score drops regardless of how newsworthy the angle might be. This prevents the common mistake of chasing trending topics that have nothing to do with your domain expertise.
Entity Leverage calculates how many of your registered properties the narrative can activate. A brief that only touches one entity gets a lower score than one that can generate content across your company, your founder profile, and two product entities. Higher entity leverage means a single narrative effort produces multiple content outputs, multiple pitches, and multiple potential mentions — compounding the return on every story you pursue.
Cross-Property Intelligence
The power of Narrative Intelligence comes from reading across every data source AI Presence collects. Scanner data from AI Citation Monitoring reveals which queries mention your entity and which do not. Retrieval cycle results show how AI engines describe your company compared to competitors. Mention data from Mention Tracking identifies which outlets cover your space and which journalists are active in your vertical. Outreach response data shows which angles resonated in past pitches and which were ignored.
When these signals align — a gap in AI citation coverage, an active journalist in that topic area, a product milestone that provides a credible hook, and no competing narrative from other companies — the system generates a brief with a composite score above threshold. The brief includes a recommended headline angle, suggested content engines for generation, target outlets ranked by likelihood of response, and a one-click path to content creation. You review, approve, and generate. The system handles the rest.
Over time, Narrative Intelligence gets sharper. Every pitch that converts into coverage reinforces the signal patterns that produced it. Every pitch that goes unanswered recalibrates the model. The result is a continuously improving recommendation engine that learns your specific authority profile, your journalist relationships, and your competitive landscape — surfacing better narratives with each iteration.