The system
Your visibility is managed by a system that never stops learning.
Most AI visibility tools run a one-time audit, dump a single score on a dashboard, and hand you a static report. Manta AEO is powered by an adaptive intelligence engine that measures Visibility and Awareness separately, learns what actually moves each one, and evolves — every single week.
Methodology
Two scores, because the fixes are different.
Most AI visibility tools dump every signal into a single number. The problem: a brand AI has never heard of and a brand AI knows but doesn't recommend first can both score zero — and they need completely different work. We split every audit into Visibility and Awareness so the gap between them tells us exactly what to fix.
Visibility
When customers ask, do you show up?
We simulate real buyer-intent prompts — the kind of questions people type the day before they pick up the phone. "Best estate lawyer in Mississauga?" "Independent dentist downtown Hamilton?" "Fee-only financial advisor near me?"
Your Visibility score reflects how often you're named, where you rank when you do, and how AI describes you. It's the score tied directly to revenue.
Awareness
Does AI know you exist at all?
Separate prompts that force exhaustive answers — "List the top 20 dental practices in Hamilton" — probe AI's full knowledge of your market.
If you appear at rank 15 in the long list, your Awareness is non-zero even when Visibility is. AI knows you're in the market — you're just not top-of-mind for natural questions.
Why splitting the score matters
A single score either drops the exhaustive-list signal (misleading — AI clearly knows you) or averages it in (misleading the other way — customers won't find you that way). Neither reflects reality.
More importantly, the two patterns need completely different fixes:
- Zero Visibility, zero Awareness — foundation stage. Directory listings on the right platforms, structured data on your website, profiles on the review sites AI trusts, NAP consistency. Infrastructure tasks, not content tasks.
- Zero Visibility, healthy Awareness — competition stage. AI knows you exist but names competitors first. The fix is content that wins the query: LinkedIn posts, Google Business posts, and FAQ pages.
- Strong Visibility, weak Awareness — narrow signal. AI learned about you from a handful of sources but doesn't know your wider operation. The fix is to broaden the signal — more directory presence, deeper coverage.
Three different strategies. A single-score tool can't tell them apart. Ours can — which is why our recommendations actually target the right problem.
Inside each score: Presence, Prominence, Perception
Both Visibility and Awareness break down further into the same three dimensions, so you can see why a score is what it is — not just what number it landed on.
Presence
How often you're named at all when AI answers a relevant query.
Prominence
Where you rank in the answer — first, third, fifteenth — when you do appear.
Perception
How AI describes you — services, sentiment, what it gets right and wrong.
How the overall score composes
Your overall AEO Score is a weighted blend — 70% Visibility, 30% Awareness — because Visibility is what drives real customer contact. The two sub-scores tell you why you're at that overall number, and the Presence / Prominence / Perception breakdown inside each lets you drill into exactly which queries you're winning and where the gaps are.
~2 minutes. Free. No credit card.
The problem
One-time audits go stale fast.
AI search changes every week. What got you cited last month might not work today. A single audit is a snapshot — you need a system that keeps up.
Every week
AI platforms change
ChatGPT, Gemini, and Perplexity update how they pick sources — what works today may not work next week
60 days
Before tactics stop working
The average optimization loses its edge in about two months as competitors catch up
Right now
Your competitors are adapting
Brands that continuously optimize their AI visibility are pulling ahead of those relying on one-time fixes
The solution
A system that learns what works.
The Adaptive Intelligence Engine is a continuous cycle of auditing, analyzing, optimizing, measuring, and learning. Every pass through the cycle makes the next one smarter.
Cycle repeats weekly
The agents
Specialized intelligence, coordinated execution.
Four specialized agents work together, each focused on a different part of the AI visibility pipeline.
The Coordinator
Orchestrates the entire pipeline — scheduling audits, routing tasks to the right agent, and ensuring nothing falls through the cracks.
The Auditor
Queries every major AI platform with two separate prompt pools — customer-intent queries for Visibility and exhaustive-list probes for Awareness — so we know whether you have a foundations problem or a content problem.
The Strategist
Reads the gap between your Visibility and Awareness scores and routes work to the right lane. Low Awareness = foundations first. Low Visibility with healthy Awareness = content to win the query. Never both at once.
The Optimizer
Executes the targeted work — content, schema markup, directory fixes, authority signals — tailored to what each AI platform rewards and which lane needs the lift.
The flywheel
Every client makes the system smarter.
When the engine learns what works for one client, that intelligence improves recommendations for every client. More data, better strategies, stronger results — compounding over time.
10,000+
Data points collected
Citations, rankings, and sentiment signals tracked across platforms every week
4
Platforms monitored
ChatGPT, Claude, Gemini, and Perplexity — each with unique ranking signals
Weekly
Evolution cycle
The system reweights its strategies every week based on measured outcomes
Industry intelligence
Playbooks that emerge from real data.
As the engine processes more audits and outcomes, industry-specific patterns emerge — turning raw data into actionable playbooks.
Industry Benchmarks
Know where you stand relative to your vertical. The engine builds benchmark data from every audit it runs in your industry.
Winning Patterns
Strategies that consistently improve citation rates get identified, validated, and applied — automatically.
Cross-Industry Transfer
When a tactic works in one industry, the engine tests whether it translates to others. Best practices spread organically.
Platform expertise
Each AI platform rewards different signals.
A strategy that works on ChatGPT may not work on Perplexity. The engine learns the nuances of each platform and optimizes accordingly.
ChatGPT
Favors authoritative, well-structured content with clear entity relationships and comprehensive topic coverage.
Claude
Prioritizes nuanced, well-sourced content that demonstrates depth of expertise and balanced perspectives.
Gemini
Rewards fresh, frequently updated content with strong topical authority and structured data markup.
Perplexity
Citation-heavy by design — values direct source attribution, recent publications, and clear factual claims.
Weekly evolution
The system updates itself. Every week.
No manual intervention needed. The engine continuously measures, learns, and deploys improvements.
Measure
Track every citation, ranking change, and sentiment shift across all platforms and clients.
Analyze
Identify which strategies drove results and which fell flat — with statistical confidence, not intuition.
Adapt
Reweight strategy recommendations based on what the data shows actually works.
Deploy
Updated playbooks go live automatically. Every client benefits from the latest intelligence.
Open playbook
We publish what we learn. Every week.
Most companies keep their insights locked away. We share ours. Every week, we publish what the engine learned — which strategies worked, which didn't, and what changed across AI platforms. It's our way of proving the system works.
Engine Updates
What the system learned this week — new patterns discovered, strategies retired, and weights adjusted based on real outcomes.
Platform Changes
When ChatGPT, Gemini, or Perplexity change how they cite sources, we document it and adapt our approach.
AEO Research
Deep dives into AI visibility tactics, backed by data from thousands of citation checks across industries.
The result
You get better results. Automatically.
The Adaptive Intelligence Engine means your AI visibility strategy improves every week — without you lifting a finger.
Compounding returns
Each improvement builds on the last. Your visibility grows faster the longer you're on the platform.
Industry-specific precision
Recommendations are tailored to your vertical, not generic best practices that may not apply.
No stale playbooks
The system retires tactics that stop working and promotes new ones that do — automatically.
See what the system finds for your brand.
Run a free score and see your Visibility and Awareness breakdown — with Presence, Prominence, and Perception tracked inside each.