SEO and marketing decision
GetMentioned
A capable engineer can build a one-brand replacement (daily runners, storage, metrics, basic dashboard) in about a week, but reproducing GetMentioned's enterprise features, scale, MCP integrations, and product polish would be costly — keep paying for full coverage or build a narrow internal tool.
Visit website↗$89/mo
$1,068/yr
Read off the official pricing page.
$100one-off40 h to build
$100/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 2 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Daily run a set of customer prompts across multiple LLM APIs, capture full model answers, store them, compute visibility/position metrics by topic and source, surface dashboards and weekly reports, and provide a simple API or exports.
What it still won’t have
- Multi-brand & enterprise features (white-label, SLAs)
- Same-day priority support and account services
- Polished UI, live demo data, and historical dataset depth at scale
- Custom/Large-scale LLM coverage (enterprise) and MCP server integrations
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 2 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal AI-visibility monitor in Node.js + Postgres deployed to a single small cloud VM (or managed DB + serverless functions). Core features: (1) scheduler that runs a configurable list of prompts daily against three LLM APIs (OpenAI-compatible, Perplexity, and Gemini via HTTP clients), (2) store raw responses, model, timestamp, and source domain in Postgres, (3) compute visibility score, rank position per prompt, and group prompts into Topics, (4) a simple authenticated React dashboard showing visibility, top sources, and competitor comparison, (5) weekly report generator that exports PDF/CSV, (6) a small read-only REST API to fetch mentions and scores. Out of scope: white-labeling, multi-brand management, SLA/premium support, MCP server. Include error handling for API failures, retries/backoff, input validation, and unit/integration tests for scheduler, storage, and metrics code.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productGetMentioned — AI Search Visibility & Optimization Platform
- official pricingPricing - AI Visibility Monitoring Plans | GetMentioned
- official docsProduct Tour - See GetMentioned in Action | GetMentioned
Integrity checks
What held up, and what did not.
