How a Gap Becomes a Number

We don't just track static keywords. AppNexa continuously discovers jobs-to-be-done, pain/problem questions, commercial searches, alternative queries, recommendation questions, YouTube topics, and long-tail fan-out searches where purchasing decisions are made. Output: Demand Radar (+147 new buyer questions detected this week).

For every opportunity, we map the flow: Buyer Question → Vendor Mentions → Ranking/Mention Position → AI/Search Engine → Cited Source → Content/Page → Community/Creator → Competitor Advantage → Your Presence → Economic Value. A living map of how demand moves between buyers, sources, and vendors.

Instead of raw mention share, we diagnose why competitors lead: root causes (comparison pages, YouTube videos, Reddit threads, AI citations, publishers), dominant advantages, and Source Influence (% of category discovery landscape influenced by each high-authority domain).

We calculate transparent commercial ranges (e.g. $72k–$119k modeled pipeline) labeled by strict provenance (Observed, Customer-provided, Modeled, Attributed) combined with an Attackability Score (0–100) that balances return, evidence confidence, attainability, and execution friction.

Turn strategic insights into bite-sized sprint items. Each attack specifies: Objective, Baseline Share, Target Share, Root Cause diagnosis, 5 concrete action steps, Owner, Deadline, Evidence Confidence, and Economic Confidence.

Every attack is tracked as a scientific experiment: Baseline (e.g., 7% mention share, $8k/mo pipeline), Hypothesis, Intervention, Target (15%), and 30/60/90-day verified results connected to CRM pipeline and closed-won revenue.

AppNexa remembers what actually works for your company. After months of running experiments, it builds category memory: win rates by intervention type (e.g., Comparison Content 73%, Third-Party Proof 61%, YouTube 49%), best buyer segments, and average days to impact.