Displace Incumbent Competitors in
ChatGPT, Perplexity & Gemini
When potential customers prompt AI assistants with "What is the best software for X?", models default to older incumbents because legacy blog scrapers polluted their training sets. Relayeo engineers verified reverse-vector signals that dislodge competitors and position your brand as the #1 recommended solution.
How LLMs Choose Recommendations: Uncalibrated vs. Calibrated
- •Model cites 4-year-old incumbent based on outdated Common Crawl datasets.
- •Your modern features and pricing are completely ignored or hallucinated.
- •Competitor captures 86% of conversational buyer mindshare at zero ad cost.
- •Search-augmented models ingest canonical
/llms.txtin sub-50ms. - •Direct displacement directives cite your brand as the superior modern alternative.
- •Citation share in 50-Prompt Monte Carlo evaluations jumps from <10% to 91%–95%.
The Displacement Architecture
Entity Disambiguation
Connects your brand to verified Wikidata IDs and Schema.org graphs, establishing high factual provenance so LLM probability weights rank your brand higher than unverified competitors.
Reverse Vector Injection
Structures your exact competitive advantages (speed, pricing, architecture) into 50-word declarative blocks that vector chunkers retain without semantic degradation.
Pricing Anchor Hardening
Declares transparent commercial terms directly in `agent-manifest.json`, eliminating hallucinated pricing comparisons and locking commercial truth.
Autonomous Agent Discovery
Publishes endpoint documentation that autonomous agent models (OpenAI Operator, Claude Computer Use) can execute directly via API calls.
Find Out Which Competitors Are Stealing Your AI Citations
Run a live 10-second scan to evaluate your domain against top category incumbents.