Time-Series Knowledge Graph Intent Matrix Co-Mentions Pattern Detection

Layer 1: Time-Series Intelligence

Track your AI citation rate over time with automated query re-runs. See exactly how content interventions move the needle — week by week, month by month.

47% Citation Rate ↑ (vs. 12% baseline)

6+ Platforms Monitored

12wk Time to Results

AI CITATION RATE — WEEKLY (FINTECH BRAND)

Wk 1 (baseline) ← Content launch Wk 4 Wk 12 (+47%)

Key Insight: Content programme launched at Week 4. AI citation rate increased from 12% baseline to 59% over 12 weeks — a 47-point net gain attributable to structured content strategy.

What This Shows You

True Progress, Not Guesses Re-run the exact same queries weekly. No more "it might be working" — see the numbers.

Campaign Attribution Tie specific content launches, PR campaigns, or schema changes to AI visibility gains.

Board-Ready Reporting Trend charts that executives understand. Show the ROI of your AI visibility programme.

Early Warning System Automated alerts when citation rate drops — before it impacts pipeline.

Typical client result: 47% average increase in AI citation rate after 12-week content programme, tracked and attributed through Time-Series Intelligence.

Layer 2: Knowledge Graph Mapping

See how AI models connect your brand to topics, attributes, and competitors. Understand not just whether AI mentions you — but how it contextualises you.

POSITIVE ASSOCIATIONS

Fast transfers

89%

Low fees

76%

Transparency

71%

! PROBLEM ASSOCIATIONS

Customer service

34%

Business accounts

28%

High volume limits

19%

Critical Finding: AI models consistently associate your brand with weak customer service and limited business accounts — undermining your enterprise positioning. Competitor X owns these associations instead.

What This Shows You

How AI Actually Sees You Not just whether AI mentions you — but what attributes, topics, and strengths it associates with your brand.

Negative Associations You Don't Know About Surface hidden negative attributes that are silently undermining your AI positioning and costing you sales.

Competitor Contextualisation See which competitors AI recommends alongside you — and which attributes they own that you don't.

Precise Content Remediation Know exactly which associations to build content around to shift your AI knowledge graph over time.

Real finding: "AI was associating our brand with outdated pricing. We didn't know until the Knowledge Graph revealed it. Fixed in 3 weeks." — CMO, Fintech Scale-Up

Layer 3: Intent × Topic Matrix

Cross-tab analysis of 15+ industry topics across 5 buying intent stages. Find your highest-value gaps — the topic-intent combinations where AI has zero coverage on your brand.

Awareness

Consider

Compare

Decision

Retain

Personal accounts

87%

79%

54%

48%

72%

Savings rates

61%

58%

31%

Business banking

29%

International

83%

76%

62%

55%

49%

Overdraft/credit

44%

22%

High (60%+) Medium (30–60%) Low (1–30%) Zero Coverage

Priority Gap Detected: Business Banking has ZERO AI coverage across consideration, comparison, and decision stages — your three highest-value buying intent moments.

What This Shows You

Zero Coverage Gaps Instantly see which topic-intent combinations have no AI brand coverage — your biggest lost opportunities.

Prioritise by Revenue Impact Business Banking at decision stage = highest-value opportunity. Not all gaps are equal — we rank them by commercial impact.

Precision Content Briefs Each zero-coverage cell generates a specific content brief — exactly what to write to fill the gap.

15+ Topics × 5 Intent Stages 75+ data points mapped for your brand, revealing the full picture of where you're winning and losing in AI.

Result: Enterprise teams using the Intent Matrix reduce wasted content spend by 60% by targeting only the highest-value AI coverage gaps.

Layer 4: Competitive Co-Mentions

Track which competitors you appear alongside in AI responses. Calculate your win rate in head-to-head comparison queries and identify the battles worth fighting.

WIN RATE IN HEAD-TO-HEAD AI COMPARISON QUERIES

Your Brand vs. Competitor A 73% win rate

Your Brand vs. Competitor B 51% win rate

Your Brand vs. Competitor C 12% win rate

WHERE YOU LOSE TO COMPETITOR C

✗ Buying intent queries (0% coverage)

✗ Enterprise/business banking (0% coverage)

✗ Customer service reputation (negative association)

Priority Action: Focus on Competitor C's owned topics (enterprise banking, CS reputation). 3 content pieces targeting these gaps could swing your 12% win rate to 50%+ within 8 weeks.

What This Shows You

Your Win Rate Per Competitor Know exactly where you beat competitors and where they beat you in AI recommendation queries.

Identify Winnable Battles A 12% win rate against Competitor C is recoverable. See exactly why you're losing — and the 3 content moves to fix it.

Protect Your Strongholds 73% win rate against Competitor A is a strength to defend. Monitor for encroachment and get alerted early.

Track Win Rate Trends Time-Series integration means you see whether win rates are improving or declining — not just a snapshot.

Layer 5: Critical Pattern Detection

Automated Zero Coverage alerts on high-value topic-intent combinations. Proactive monitoring that flags gaps, negative associations, and competitive encroachment before they hit pipeline.

CRITICAL — Immediate Action Required

Zero Coverage Alert: "enterprise security" × decision stage — 0% brand presence. Competitor D now owns this query set entirely.

Negative Association Detected: AI models across 3 platforms linking your brand to "slow customer service" in comparison queries. Source: 2022 review content still indexed.

WARNING — Monitor Closely

Win Rate Decline: vs. Competitor B dropped from 67% → 51% over 4 weeks. Likely cause: their new content programme launched March 2026.

POSITIVE PATTERNS

Coverage Milestone: "instant international transfers" × all intent stages now at 80%+ — programme target achieved 2 weeks early.

What This Shows You

Zero Coverage Alerts Automated detection when high-value topic-intent combinations drop to zero brand coverage — before competitors fully own them.

Negative Association Detection Surface AI models spreading negative brand associations before they become permanent knowledge graph entries.

Competitor Encroachment Alerts Detect when competitors launch content programmes that threaten your AI visibility strongholds.

✓

Milestone Celebrations Positive pattern detection too — know when you've hit coverage targets and which campaigns to credit.

Proactive, not reactive: Most brands discover AI visibility problems after pipeline drops. UltraScout AI's Pattern Detection gives you a 4–8 week head start.

See Your Brand's Intelligence Report

Book an enterprise demo and we'll run a live 5-layer intelligence analysis on your brand — so you see exactly what your AI visibility gaps are.

Talk to the Team Enterprise Pricing