Skill 0
Starter Prompt: Card-Grid BI Dashboard
Get started quickly with a complete starter prompt to build a professional, unified Share-of-Voice and AI reputation dashboard using FullMention.
View Prompt Template
NEW: Model Context Protocol (MCP) Server for AI Agents
Track how AI recommends your brand -
Track how AI recommends your brand -
via one API.
FullMention gives you structured visibility data from ChatGPT and Gemini in one single API call per keyword. Pull brands, websites, and products simultaneously without running 20+ separate query loops. Save massive API costs while unlocking complete market dominance insights.
Same API access on every plan. You only scale request volume.
How FullMention differs
| Feature | Expensive AI Trackers | FullMention |
|---|---|---|
| Ingestion Cost & Efficiency | Requires 20+ separate queries per keyword to separate brands, URLs, and products - multiplying your API bill. | One single call pulls all dimensions simultaneously. Massively cheaper & faster. |
| API access | $500+/mo Enterprise Add-on | Included on all plans |
| Data structure quality | CSV exports and screenshots | Predictable JSON schemas |
| Update cadence | Weekly (To save AI costs) | Daily for everyone |
| Pricing transparency | "Call for pricing" / hidden limits | Based on request volume only |
| Automation readiness | Manual UI workflows | Idempotent workflows ready for BI |
Built for Enterprise Scale & Performance.
FullMention is engineered to bypass the limitations of traditional keyword trackers, offering deep data decoupling, citation forensics, and mathematical accuracy.
True Share of Voice (SOV)
Remove the blind spot of simple rank positions. FullMention aggregates AI brand listings, recommendations, and search results into a mathematically-sound **Share of Voice (SOV) percentage** utilizing reciprocal rank weighting (1/rank). Know exactly what portion of the AI market you own.
Audit the Source: Web Search Fanout
AI search engines do not recommend brands blindly; they actively crawl the web to back up their claims. FullMention extracts the **exact citation URLs and sources** referenced by ChatGPT and Gemini so you know exactly which blogs, media sites, and review portals to target with digital PR.
Decoupled Offline Analytics
LLM queries are slow, fragile, and cost-prohibitive. FullMention decouples raw ingestion from analysis. Ingest the structured dataset snapshot **exactly once**, then store it locally to run unlimited offline BI, gap analysis, and historical trend models without incurring extra API costs.
Proactive Volatility & Anomaly Alerts
AI recommendation models update dynamically, triggering sudden ranking swings. We track rank standard deviations, mean absolute changes, and disappearance rates. Get **proactive anomaly alerts** the exact second your brand drops out of AI recommendations.
Ready to Use
Pre-built AI Prompt Templates.
Plug our structured JSON data directly into your preferred LLM tools using these 15 advanced, ready-to-run market intelligence prompts.
Skill 1
Share Of Voice Snapshot
Compute brand SOV using latest FullMention result snapshots.
View Prompt Template
Skill 2
Competitor Citation Advantage
Quantify citation edge by domain.
View Prompt Template
Skill 3
Gap Analysis
Detect opportunity gaps for a target brand.
View Prompt Template
Skill 4
Category Dominance Matrix
Map brand dominance by category clusters.
View Prompt Template
Skill 5
Citation Coverage
Rank cited domains from recommendation websites and optional fanout sources.
View Prompt Template
AI visibility is now an engineering problem.
- One call extracts all dimensions (Brands, Products, Websites, Entities) completely for free. You only pay for the base keyword.
- Our AI automatically runs 20-40 long-tail query variations behind the scenes for every keyword, giving you massive data coverage.
- Track how AI engines recommend brands across your target queries.
- Get structured JSON, not screenshots and CSV cleanup.
- Automate reporting, alerting, and trend detection in your own stack.
One request. Multiple trackable signals.
Brand rank movement over time
Share of voice trend
Citation and domain momentum
Competitor gap opportunities
Top-20 entrants and exits
Volatility and alert signals
Agentic AI Integration
Query FullMention natively inside Claude & Gemini.
Equip your AI agents, coding assistants (like Cursor, Claude Desktop, and Gemini Advanced), and custom LLM workflows with the **FullMention MCP Server**.
AI agents can now autonomously track brand Share of Voice, search citation URLs, perform gap analysis, and monitor rank volatility directly from your prompt environment without writing a single line of integration code.
View MCP Configuration Guide{
"mcpServers": {
"fullmention": {
"command": "npx",
"args": ["-y", "@fullmention/mcp-server"],
"env": {
"FULLMENTION_API_KEY": "your_fm_live_or_test_key_here"
}
}
}
}
Standard Model Context Protocol (v1.0)
npx -y @fullmention/mcp-server
API-First Advantage
Built for teams that ship.
We do not force you into our dashboard. We give you the raw, structured data you need to integrate AI visibility tracking right where you already work.
- REST API with predictable response structures
- Idempotent run workflows
- Pull data into BI, warehouse, or internal dashboards
- Same endpoints on all plans
Modern Infrastructure. Startup Pricing.
How is it so cheap? Other AI trackers pass their massive LLM compute costs onto you. By building a highly optimized AI batch processing pipeline, we’ve slashed our server costs by 90%, and we pass those massive savings directly to you.
Starter
Best fit for continuous weekly monitoring of core brand terms.
€19 / mo
- 1,400 credits/mo
- ~46 credits/day average
Popular
Pro
Built for multi-market, always-on tracking across multiple segments.
€59 / mo
- 4,500 credits/mo
- ~150 credits/day average
Growth
Ideal for scale-up teams requiring high volume competitor gap analysis.
€119 / mo
- 9,500 credits/mo
- ~316 credits/day average
Scale
For high-volume enterprise tracking across massive product catalogs.
€399 / mo
- 33,000 credits/mo
- ~1,100 credits/day average
Keyword Strategy
How to Choose Your Keywords
How to Choose Your Keywords
(Our Secret Sauce)
You only need to track the Main Keyword. Our proprietary AI automatically tests 20-40 long-tail query variations behind the scenes for each keyword you submit.
This massive fanout gives you incredible rank data for every query variation - all without wasting your monthly keyword limits.
Furthermore, every tracked keyword automatically discovers and monitors all associated Websites, Brands, and Products. While competitors charge you extra for each tracked entity, we include them completely for free at fullmention.com. You only pay for the base keyword.
Query Variations
20-40x
Run automatically per keyword
Tracked Entities
Unlimited
Websites, Brands & Products for free
Keyword Selection Best Practice
Do This
Main Keyword
SEO tools
Submit short, broad terms representing your main category. Our AI automatically parses all variations.
Not This
Long-Tail Sentence
What is the best seo tool for an agency in 2026
Don't submit long-tail search questions. Doing so wastes credits on a narrow search footprint.
Token Economics
Cheaper than doing it yourself.
Building your own AI visibility tracker sounds simple, but public API bills quickly spiral out of control. Between verbose output tokens and double-billing from multi-pass queries, raw API fees average $36.30 per 1,000 queries.
FullMention bypasses public text generation entirely, extracting structured data in a single fluid pass. We route through wholesale pipelines and cache aggressively, lowering the cost to $13.00 - saving you 64% directly.
Build-Your-Own API
$36.30
Per 1,000 queries
FullMention API
$13.00
64% direct savings
The Traditional Approach (Build-Your-Own)
$36.30 / 1k
+$18.15 Output Tokens
+$12.10 Multi-Pass Query
+$6.05 Prompt Noise
01
Input 02
Public LLM 03
JSON Parse 04
Database The FullMention Pipeline (Direct Bypass)
$13.00 / 1k
-64% API Caching & Core Bypass
01
Input 02
Core Bypass 03
Database 
Built by SEO and data operators
Hi, I'm Søren Riisager. After years in SEO and data-driven marketing, I realized teams were flying blind when it came to AI answer engines. That's why I built FullMention - to give you the structured data needed to track true visibility.