Mathematically engineered credibility for the AI era.
Where AI meets authenticity. Citations that LLM models actually crawl, read, and trust.
We engineer editorial placements and authentic contributions that pass both human scrutiny and AI validation—ensuring your citations appear where models actually look.
Mathematically engineered credibility for the AI era.
Where AI meets authenticity. Citations that LLM models actually crawl, read, and trust.
We engineer editorial placements and authentic contributions that pass both human scrutiny and AI validation—ensuring your citations appear where models actually look.
Trusted by teams that value precision and steady results
Focused for modern AI platforms
Signals structured for how contemporary models read and recall the web.
Launch your campaign in minutes
Meet the absmath App — a streamlined, self‑service experience to scope, order, and track citation engineering work. Transparent timelines, clear deliverables, and live status updates.
- Guided ordering for the right citation type
- Live status: processing, placed, validated
- Clean delivery reports with key metrics
Core Values
Three pillars that define our approach to AI-era credibility
AI crawlable by design
Placements selected from pages with clean access, context depth, and entity fit. Easier to discover. Simpler to encode.
Natural and handcrafted
No marketplaces or spam. Editorial mentions, careful niche edits, and thoughtful forum conversations that read like they belong.
Measured, not guessed
Crawl and index signals verified. Ongoing observation for content change and link decay. Credibility maintained over time.
How it works
Discover
Mapping of brand entities, topics, and credible nodes across editorial hubs, MediaPR, and communities.
Model
Scoring of options by context depth, entity proximity, and likelihood of recall by AI systems.
Place
Earning of placements through editorial articles, niche edits within strong pages, and forum posting on Quora and Reddit with genuine value.
Validate
Confirmation of crawl and index status. Tracking of stability. Refresh or replacement when required.
Measured outcomes that matter
We track what actually moves the needle. Every citation is monitored for crawlability, context strength, and long-term stability.
Figures shown are examples from recent campaigns. Outcomes vary by site health, topics, and competition.
Our Services
Specialized solutions for AI-era credibility and visibility
AI Citation Engineering
Handcrafted mentions across editorial articles, expert guides, and evergreen content. Selective niche edits where surrounding context supports the message. Forum posting on Quora and Reddit that reads like a genuine contribution.
CrawlCred™ Audit
Clear reporting that separates AI-visible links from noise. Scoring across crawl access, context depth, entity alignment, stability, and duplication risk. Action plan ranked by impact.
Transformer Visibility Boost
Campaign planning to increase inclusion odds in AI Overviews and LLM answers. Targeting of consensus nodes, FAQs, curated lists, and MediaPR opportunities that tend to surface.
Why absmath
Research-led practice focused on how models encode the web. Human language paired with engineered structure. Everything measured.
Credibility, engineered
Citations selected for clean crawl paths, strong context, and stable surfaces that models revisit.
Measurement‑first
- Crawl and index deltas, not vibes
- Entity proximity & context scoring
- Drift monitoring & replacement
Human + Machine
- Editorial‑first language
- Schema & surface‑form consistency
- Answer‑engine‑friendly structure
FAQ
Not part of the offering. Focus on authentic editorial mentions, selective niche edits, and forum posting on Quora and Reddit. Every placement reviewed for crawlability and persistence.