Recommendation: Approving the 3 high-impact actions in the queue below pulls the target in by ~2 weeks.
Prompt Explorer
The Prompts People Actually Ask AI
Prompt
Intent
AI Volume
Difficulty
Your Position
Opportunity
Status
Where the money is: You're losing 3 high-volume commercial prompts. Winning even one ("best family dentist in Dallas") is worth an est. $4.2K/mo in new patient value.
Autonomous Correction Agents
Reporting tools tell you. NxtSeed acts — a supervised agent swarm that detects, drafts, and pushes fixes, then verifies the AI answer actually changed.
Sovereign guardrail: agents run on your hardware and never push a change to a live asset without a human gate. Autonomy raises speed, never removes consent.
GEO Content Studio
Draft — scored live for AI citation
write · optimize
Live GEO Visibility Score
updates as you type
0/100
Competitive & Model Landscape
Your Brand vs. Competitors — Share of Model
% of AI answers
Recommendation: BrightSmile leads GEO by owning "best dentist Dallas" answers. Publish a data-backed comparison page to contest that query — projected +7 pts Share of Model.
Visibility by LLM
per model
Recommendation: Weakest on Google AI Overviews & Perplexity — both reward structured citations. Prioritize JSON-LD + authoritative sources to lift these two.
Mentions & AI Volume
30-day trend
Insight: Mentions rising faster than volume — your visibility is compounding.
Query Intent Mix
what users ask AI
Recommendation: 41% commercial intent — capture it with pricing & "book now" content the models can cite.
Opportunity: "Emergency dental care" has high volume but you hold only 22% — a dedicated page could double it.
Sources Models Pull From
where citations originate
Recommendation: Models lean on Google Business Profile & directories. Lock those listings — they feed 38% of your citations.
Geographic Visibility
Industry / Category Context
how AI classifies you
Recommendation: You're mis-tagged as "cosmetic only" in 2 models — broaden entity schema to reclaim "family & general" answers.
Narrative & Forecast
Narrative Drivers
what moves your sentiment
Steer it: lean into "patient care" and "technology" in cited content; the Narrative Steward agent is already pushing fixes for "wait times" and "outdated hours."
Projected 90-Day Impact
if top 3 actions ship
Share of Model72 → 83
AI answer presence57% → 71%
Brand mentions+34%
Citations won+140
Attributed pipeline+$21K / mo
Forecast, not fluff: projections are re-based every scan against actual movement in the Impact Ledger — so the number you see is the number you can hold us to.
Enterprise Portfolio Roll-Up
◇ Portfolio Share of Model
62
▲ +4 blended
◇ Brands / Divisions
5
one command deck
◇ Markets Covered
36
6 world regions
◇ Open Alerts
16
across regions
All Brands & Regions on One Screen
multinational roll-up
Brand / Division
Coverage
Share of Model
30d
Best market
Weakest
Alerts
Roll-up read: APAC (41) and MENA (49) drag the portfolio — the same playbook that lifted the US division to 81 applies. Drill into any row to open that market's full command deck.
Cited Pages
Which of Your Pages the Models Cite
page · citations · models · trend
Page
Citations
Cited by
Top Topic
30d
Action
Recommendation: Your "Insurance & Financing" page is climbing across 4 models — expand it into a full FAQ hub to capture more commercial-intent answers.
Action Board — Ranked by ROI
◇ Attributed Pipeline
$38.6K
▲ from AI answers /mo
◇ Opportunity Value
$71.4K
if all actions shipped
◇ Avg. ROI / Action
14.2×
value ÷ effort
◇ Actions In Flight
3
2 awaiting approval
What To Do Next — Impact × Effort × Dollars
auto-ranked
#
Action
Impact
Effort
Est. Value /mo
Owner
Status
How this is ranked: priority = projected Share-of-Model lift × revenue value ÷ effort. The engine re-sorts as scans update — the top row is always your highest-return move right now.
1-Click Optimize — Approval & Impact Loop
Optimization Queue
human-in-the-loop
Guardrail: every automated change previews the exact edit and waits for your approval before it touches a live asset. Nothing ships silently.
Impact Ledger
before → after, closed loop
Proof, not promises: once a change is live, NxtSeed re-scans and records the actual score and pipeline movement — so you see what each action really earned.