AI Recommendation Visibility Platform: Pricing, Features & ROI Comparison
Millions of buying decisions now start with "Hey ChatGPT, what's the best..." But most brands have no idea if AI engines are recommending them. AIsubtext measures how often AI recommends your brand across six engines, identifies the gaps, and deploys content to win more recommendations—then proves the traffic lift.
The AI Recommendation Gap: Why Visibility Matters
Traditional SEO measures search engine rankings. But AI recommendation engines operate differently. ChatGPT, Claude, Perplexity, and other LLMs don't rank pages—they recommend brands based on training data, recency, and relevance signals. If your brand isn't in an AI engine's recommendation set, you're invisible to a growing segment of buyers.
AIsubtext continuously scans 8,000+ brands across six AI engines to measure:
- Recommendation frequency: How often does each AI engine recommend your brand?
- Competitive share: Are competitors getting recommended instead of you?
- Content gaps: Which queries mention competitors but not your brand?
- Traffic attribution: Which AI-driven recommendations actually drive qualified traffic?
How AIsubtext Works: The Measurement & Remediation System
A score won't move the needle. A system will. AIsubtext operates in three stages:
1. Measure: AI Recommendation Audit
We audit how six AI engines see your brand across high-intent buyer queries. Our index has completed 5,900+ audits since 2024, tracking 7,600+ brands. Each audit reveals:
- Which AI engines recommend you
- Which recommend competitors instead
- Which don't mention you at all
- The specific queries where you're losing visibility
2. Remediate: Deploy Decision-Stage Content
We've deployed 280+ remediation pages designed to win AI recommendations. These aren't generic blog posts—they're strategic content built to:
- Address the exact queries where competitors are winning
- Include the specificity, data, and authority signals AI engines prioritize
- Establish your brand as a credible alternative in AI recommendation sets
- Capture decision-stage intent before buyers choose competitors
3. Prove: Track AI-Driven Traffic Lift
We measure the actual traffic impact of AI recommendations. Our tracking system attributes visits from AI engines and correlates them to deployed content, showing ROI in real time.
AIsubtext Pricing & Feature Tiers
AIsubtext offers three tiers designed for different business sizes and recommendation visibility needs:
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
| Monthly Price | $2,500 | $7,500 | Custom |
| AI Engines Monitored | 3 engines | 6 engines | 6+ engines |
| Monthly Audits | 50 queries | 500 queries | Unlimited |
| Remediation Pages/Month | Up to 5 | Up to 20 | Unlimited |
| AI Traffic Attribution | Basic | Advanced | Real-time |
| Competitive Benchmarking | Your brand only | Your + 5 competitors | Your + 10+ competitors |
| Dedicated Support | Email + Slack | Dedicated account team | |
| Custom Integrations | No | No | Yes |
Key Features Across All Tiers
AI Recommendation Measurement
All plans include access to AIsubtext's core measurement engine, which continuously monitors how six AI engines (ChatGPT, Claude, Perplexity, and others) recommend your brand. You'll see:
- Real-time recommendation frequency by engine
- Competitive share of voice in AI recommendations
- Query-level breakdown of where you win and lose
- Historical trend data to track progress
The AIsubtext Index
Browse the public index of 7,600+ brands to see where you rank in your category. The index shows how often each brand is recommended across all six engines, helping you understand your competitive position in AI recommendation visibility.
Content Remediation & Deployment
Professional and Enterprise plans include strategic content deployment. We identify the specific queries where competitors are winning AI recommendations, then deploy decision-stage content designed to win those recommendations for your brand.
Traffic Attribution & ROI Tracking
See which AI engines are driving traffic to your site and which remediation pages are generating the highest ROI. Our attribution model connects AI recommendations to actual visitor behavior, proving the business impact of improved AI visibility.
Why Brands Choose AIsubtext
Specificity & Real-World Data
We don't estimate or project. We measure actual AI engine behavior across 8,000+ brands continuously. Our data comes from real audits, real recommendations, and real traffic attribution—not assumptions.
Proven Remediation Track Record
Our deployed remediation pages have driven measurable traffic lift. We've completed 5,900+ audits and deployed 280+ strategic content pieces, with documented cases of brands improving their AI recommendation share by 40% or more in 90 days.
Multi-Engine Coverage
Most tools focus on one AI engine. AIsubtext monitors six, giving you a complete picture of how AI engines collectively see your brand. This matters because buyer behavior is fragmenting across multiple AI platforms.
Decision-Stage Focus
We target high-intent, decision-stage queries where buyers are actively comparing solutions. This isn't about vanity metrics—it's about winning recommendations at the moment buyers are ready to buy.
Frequently Asked Questions
How much does AIsubtext cost?
AIsubtext pricing starts at $2,500/month for the Starter plan (3 engines, 50 monthly audits) and scales to $7,500/month for the Professional plan (6 engines, 500 monthly audits). Enterprise plans are custom-priced based on your audit volume, remediation needs, and integration requirements. Most mid-market B2B SaaS companies start with Professional and scale to Enterprise as they deploy more remediation content.
Which AI engines does AIsubtext monitor?
AIsubtext monitors six major AI engines: ChatGPT, Claude, Perplexity, and three additional engines that drive significant recommendation traffic. Starter plans monitor three engines; Professional and Enterprise plans monitor all six. We continuously add new engines as they gain market share.
How long does it take to see results?
Most brands see measurable changes in AI recommendation frequency within 30-60 days of deploying remediation content. We've documented cases where brands improved their AI recommendation share by 40% in 90 days. Results depend on your starting position, competitive intensity, and content deployment velocity.
Can I see a sample audit before committing?
Yes. We offer a free AI recommendation audit for your brand. You'll see exactly how six AI engines currently recommend you, where competitors are winning, and which queries represent the biggest opportunity gaps. Use this data to evaluate whether AIsubtext is the right fit for your business.
Next Steps: Measure Your AI Recommendation Gap
The AI recommendation economy is real. Buyers are asking AI engines for recommendations, and those recommendations are driving traffic and conversions. If your brand isn't visible in AI recommendation sets, you're losing deals to competitors who are.
Start with a free audit to see where you stand. Then decide if a Starter, Professional, or Enterprise plan makes sense for your business. Most brands find that the cost of improved AI visibility is far outweighed by the traffic and revenue lift.