About absmath
We don't sell backlinks. We engineer citations that AI can find, understand, and trust.
Our Values
How we approach citation engineering and client relationships.
Measurement Over Claims
Every placement is validated against crawlability and recall heuristics. We prove, not promise.
People First, Machines Second
Citations are handcrafted by researchers and editors, written for human readers, structured for AI understanding.
Platform Respect
We follow publisher guidelines and platform terms. No manipulation, only value-adding editorial integration.
Engineering Precision
Mathematical approach to credibility. Each citation decision is backed by measurement and modeling.
The absmath App
A streamlined, self‑service experience to scope, order, and track citation engineering work. Designed for clarity and speed, with the same measurement‑first approach.
- Guided ordering and transparent timelines
- Live status and clean delivery reports
- Policy‑aligned placements, measured outcomes
What you can expect
- Clear scope and pricing up front
- Measured delivery aligned to your goals
- Detailed reporting and replacement guarantee
Credibility, engineered
absmath is a studio focused on how modern AI reads the web. We combine editorial craft with measurement, designing citations that are easy to crawl, simple to encode, and likely to be remembered.
Nothing is “growth hacking”. Everything is earned: right pages, right anchors, right structures, proven by observation and data.
How it feels to work with us
- Quiet delivery, precise briefs, steady iteration
- Measurement over claims, shared dashboards
- Publisher‑first mindset; value before mention
Team Ethos
Our team combines editorial expertise with technical measurement. We believe in the power of precise language, careful research, and mathematical validation.
Every citation placement serves the reader first. We only place mentions where they genuinely add value to the content and enhance the reader's understanding.
This approach builds sustainable credibility that AI systems can recognize and trust, rather than manipulative signals that degrade over time.
“Write for people. Structure for machines. Measure what matters.”
— absmath studio credo
Discover
Landscape mapping across editorial hubs, MediaPR calendars, and communities. Identification of stable, crawlable sources.
Model
Opportunity scoring by entity proximity, semantic relevance, and recall likelihood. Shortlists aligned to topic clusters.
Place & Validate
Natural editorial placements and selective niche edits, followed by crawlability and index verification with monitoring.
How we’re different
Precision mathematics
- Scoring for entity proximity and context depth
- Drift detection and stability monitoring
- Measurable crawl/index deltas
AI & ML expertise
- Selection for answer engines & consensus nodes
- Schema and surface‑form consistency
- LLM‑aware formatting & anchors
Policy‑aligned results
- Editorial‑first placements (no “growth hacks”)
- Transparent measurement & reporting
- Durable credibility signals
Ethics Note
No manipulation. We place citations where they genuinely belong and add value to readers. Every placement follows publisher guidelines and platform terms of service.
Platform respect. We work with content creators and publishers to enhance their material, not exploit it. Citations improve content quality and reader experience.
Transparency. Our methods are measured and replicable. We share our approach openly because good engineering benefits the entire ecosystem.
Long-term thinking. We optimize for sustainable credibility that grows stronger over time, not short-term ranking manipulation that degrades quickly.