Know exactly when, where, and how AI engines mention your brand.
AEO and GEO without measurement is guessing. We instrument every major generative engine with continuous prompt tracking, share-of-voice monitoring, sentiment analysis, and regression alerts — so you see citations move in real time, not 90 days late.
AEO and GEO without measurement is just expensive content production.
The most common pattern we see: a brand invests $80K–$200K in AI search optimization, has no instrumentation to measure outcomes, and 12 months later can't tell their CFO whether it worked. Continuous tracking changes that.
- Google Analytics tracks zero AI traffic
GA4 and Search Console don't measure ChatGPT, Perplexity, Gemini, or Claude. Without dedicated tracking, your highest-growth channel is invisible.
- Citations vanish without warning
Each engine retrains on its own schedule. Wins from week 8 disappear by week 16 — and without continuous monitoring, you find out from a sales call instead of a dashboard.
- Mention count ≠ brand health
Being mentioned negatively or with the wrong context can hurt more than not being mentioned. Sentiment tracking surfaces these issues before they compound.
- No competitor benchmark = no leading indicator
When your branded SoV is flat but a competitor's is climbing, you're losing market share before any traditional KPI moves. Comparative tracking is the only early warning.
If you can't see what AI engines say about you, you can't fix it — or defend it.
Most marketing teams know AI search matters, but their reporting stops at Google rankings and GA4 sessions. Meanwhile ChatGPT recommends a competitor, Perplexity gets the company description wrong, and Gemini stops citing the brand entirely after a model refresh — and no one notices until pipeline drops.
Zero visibility into what LLMs actually say
Google Search Console doesn't track ChatGPT. GA4 doesn't tag Perplexity referrals. Without dedicated tracking, AI search is a black box driving uncountable pipeline.
Citations disappear after model refreshes
Each LLM retrains on its own cycle. Without weekly re-prompting, gains earned in week 8 vanish by week 16 — and you find out from a sales call, not a dashboard.
Sentiment matters as much as mention
Being cited negatively is worse than not being cited. Most tracking tools count mentions but never measure tone, framing, or context.
Competitor SoV is the leading indicator
If a competitor's branded SoV is climbing while yours is flat, you're losing market share before any traditional analytics will show it.
A 30-day instrumentation, then continuous weekly monitoring.
- 01
Prompt taxonomy build
Week 1We map your top 200–500 commercial, branded, comparison, and category prompts across the buyer journey — the queries that actually drive pipeline.
- 02
Multi-engine baselining
Week 2Every prompt run through ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Citations, position, sentiment, and competitor mentions logged per engine.
- 03
Dashboard build
Week 3Looker Studio dashboard wired to your tracking warehouse. SoV, citation count, sentiment trend, and competitor benchmarks visualized for the CMO and the SEO lead.
- 04
Alerting & integration
Week 4Slack/email regression alerts, Salesforce/HubSpot annotation of AI-influenced pipeline, and weekly executive summary delivery.
- 05
Continuous monitoring ops
Month 2+Weekly re-prompting, monthly trend reports, quarterly prompt taxonomy refresh as your category and competitive set evolves.
AdWave AI Visibility Monitor
Six layers of continuous instrumentation engineered for the engines that matter — and the prompts that drive your pipeline.
Prompt Taxonomy
200–500 prompts mapped across branded, comparison, category, and journey-stage queries — the ones that actually convert.
Multi-Engine Coverage
Continuous re-prompting across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews. Each engine weighted by your buyer behavior.
Citation & Position Tracking
Per-prompt citation presence, position in synthesized answer, and competitor co-mention all logged with daily granularity.
Sentiment Scoring
Each citation classified positive, neutral, or negative — and tone tracked over time. Negative SoV is worse than no SoV.
Competitor Benchmarking
Top 3–7 competitors tracked on the same prompts. Share-shift early-warning before any other KPI moves.
Pipeline Annotation
Salesforce/HubSpot integration that ties AI-influenced opportunities to source engine, prompt cluster, and revenue downstream.
What ships in a 30-day instrumentation, then ongoing monthly.
Custom 200–500 prompt library mapped to your buyer journey.
Initial scoring across ChatGPT, Perplexity, Gemini, Claude, and AIO.
Executive + operator views of SoV, sentiment, and competitor benchmarks.
Automated cross-engine querying with citation + position + sentiment logging.
Slack/email notifications within 7 days of any tracked citation drop.
Tone classification per citation, with negative-SoV escalation.
Top 3–7 competitors benchmarked on the same prompts continuously.
Salesforce/HubSpot annotation of AI-influenced pipeline.
Senior strategist sessions with prompt taxonomy refresh and CMO summary.
Cross-engine SoV with regression caught and recovered.
Real engagement showing branded SoV across 5 engines — including a Perplexity regression in week 22 caught and corrected within 11 days.
What 30-day instrumentation surfaces — across every engagement.
Within the first 30 days of monitoring, we typically surface 3–7 high-value prompts where competitors dominate, 1–2 sentiment issues actively hurting brand perception, and 4–6 citation regressions invisible in any other tool. The first month of monitoring usually pays for itself in pipeline saved.
Weekly cross-engine share-of-voice tracking: each prompt scored for citation presence, position, sentiment, and competitor mentions across all five major generative engines.
Manual checking vs. continuous AI visibility tracking.
Most teams start by manually prompting ChatGPT once a quarter. That's noise, not signal. Here's the difference.
Continuous tracking pays back fastest for these three buyer profiles.
CMO at a category-defining brand
Triggered when the board starts asking 'how do we show up in ChatGPT?' and there's no defensible answer.
We instrument the full prompt taxonomy, build executive dashboards, and deliver weekly summaries that turn AI visibility into a board-ready KPI.
VP Marketing at a multi-location services brand
Triggered when patient or customer research has shifted to AI assistants and Google rankings no longer predict pipeline.
Location-level prompt tracking, competitor SoV benchmarking, and pipeline annotation that ties AI mentions to bookings and revenue.
Head of SEO at a B2B SaaS or professional services firm
Triggered when AEO or GEO programs are running but there's no defensible measurement framework to report results.
Granular per-engine, per-prompt tracking with regression alerts and the dashboards your CMO actually reads.
Caught a 41% citation regression in 6 days — before pipeline noticed.
A workflow SaaS had been running AEO for six months with steady cross-engine SoV growth. In week 22, a Perplexity model refresh dropped their citations on 38 commercial prompts overnight. Our regression alerting flagged it within 6 days. Root cause: a deprecated entity mapping on a third-party directory. We re-seeded the citation, restored entity authority, and Perplexity SoV recovered to baseline within 11 days. Pipeline impact: zero. Without continuous tracking, the team estimated they'd have lost $180K in influenced opportunities before noticing.
Different industries need different prompt taxonomies.
B2B SaaS
AEO/GEO running but no defensible measurement to report up.
Per-engine SoV dashboards CMO and CFO actually trust.
See playbookHealthcare & Med Spa
Patient research happens in AI assistants invisible to traditional analytics.
Treatment + condition + location prompt tracking tied to bookings.
See playbookLaw Firms
Practice-area prompts often default to legacy firms — invisible without tracking.
Practice-area + city prompt monitoring with intake-source attribution.
See playbookEcommerce
Comparison and 'best of' prompts driving research no one is measuring.
Product + category prompt tracking with sentiment + position scoring.
Real Estate
Buyer/seller research starts in ChatGPT before any agent contact.
Neighborhood, agent, and brokerage prompt tracking with lead annotation.
See playbookProfessional Services
Niche expertise mentions hard to surface without dedicated monitoring.
Expert-author and methodology prompt tracking with sentiment analysis.
Tracking is only valuable when paired with action.
- Brands actively running AEO, GEO, or AI search programs that need measurement
- CMOs who need a defensible AI search KPI to report to the board
- Multi-location services brands where AI discovery now precedes Google search
- B2B SaaS teams whose buyers research extensively in ChatGPT and Perplexity
- Teams with pipeline tracking infrastructure (CRM + GA4 + warehouse)
- Brands not yet investing in AI search optimization
- Teams without anyone empowered to act on regression alerts
- Companies with no CRM or pipeline tracking foundation
- Brands looking for a one-time audit instead of continuous monitoring
Every other tracking vendor sells a tool. We sell decisions.
Otterly and Profound are excellent platforms — we use them. The differentiator is the strategy layer that turns raw data into the actions your team actually takes.
Most platforms make you build your own prompt library. We design yours from your buyer journey, your category, and your competitive set — and refresh it quarterly.
We classify every citation positive/neutral/negative and surface tone trends over time. Most tools skip this, and it's the single highest-signal metric we track.
We tie cross-engine SoV to Salesforce/HubSpot opportunity data so AI search becomes a revenue line, not a vanity metric.
Every monthly report includes a senior-strategist call. Dashboards don't drive action — humans do.
The tooling we run quietly in the background.
Multi-engine prompt tracking
Cross-engine SoV analytics
Sentiment + citation regression
Brand visibility benchmarking
Automated prompt regression
Executive cross-engine dashboards
AI-influenced pipeline annotation
Real-time regression alerting
Educational reading we send to every new tracking client.
The single-engine optimization tactic measurement protects.
Cross-engine optimization at scale — measurement is mandatory.
The engine most teams measure first — and most often misread.
Two underweighted engines that often surface the biggest wins.
The citation work measurement helps you prioritize.
The diagnostic that defines your tracking baseline.
What CMOs and Heads of SEO ask before buying tracking.
Real questions from scoping calls — clustered by what they care about most.
Tracking compounds when paired with these.
The single-engine optimization tactic that tracking measures and protects.
ExploreCross-engine optimization where measurement is mandatory infrastructure.
ExploreThe citation work tracking helps you prioritize and protect.
ExploreDeep one-time audits that define your tracking baseline.
ExploreMulti-touch attribution that ties AI source touches to closed-won revenue.
ExploreLooker Studio dashboards your CMO actually reads.
ExploreSee exactly how AI engines describe your brand right now.
We'll run your top 50 commercial prompts through ChatGPT, Perplexity, Gemini, Claude, and AI Overviews, then send back a baseline visibility report with citation count, sentiment scoring, and competitor SoV benchmarks. Turnaround is 5 business days.
- 5-day turnaround
- No commitment
- Senior strategist call