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Missing piece

A missing piece is first-hand evidence or an explanation that a company's buyers need and that AI cannot find anywhere yet, such as a page on how a product fits a five-person team. AI engines can only cite what exists, so creating missing pieces from a company's own data adds what no other source says.

Origin: Obi's method (Heysurface, Inc.)The AI Search Dictionary, version 1.6Checked

Free to reuse under CC BY 4.0, with attribution to Obi and a link to this page.

Definition

Also called: missing pieces

Documented

When an assistant answers a buyer's question, it can only cite and recommend what it finds. If the facts that would make a company the right answer exist only in sales calls, support tickets or the founder's head, the assistant answers without them. A missing piece is one of those facts or explanations, worth creating because nothing public covers it.

Missing pieces are first-hand: a measured result, a specific fit, a comparison the company can make honestly, an explanation only its team can give. Neither uniqueness nor an access fix guarantees a citation, a recommendation or revenue; a missing piece raises the odds by giving the engines something they need and cannot find elsewhere.

Why it matters

Rewriting what already ranks adds little an engine has not seen. The pieces that change an answer are the ones that add information: the gap between what buyers ask and what the web says about a company. Finding that gap from the buyers' questions, and filling it with the company's own data, is the work most likely to earn a recommendation.

Example

Buyers ask whether a scheduling tool works for clinics with rotating shifts; no page anywhere answers it, so the company publishes its own rotating-shift setup guide with numbers from three customers.

Sources (2)
  1. Obi, FAQ: What is a missing piece?, published 2026-11-06, read 2026-11-08: https://hireobi.com/faq
  2. Obi, AI instructions for Obi (limits), published 2026-11-07, read 2026-11-08: https://hireobi.com/ai-instructions#limits

Checked

How it differs from the nearest terms

Information gain

Information gain is the general idea that a document adds something others do not. A missing piece is a specific instance, found from a buyer's question: the fact or explanation that question needs and no public page gives.

Citation gap analysis

A citation gap analysis finds questions where competitors are cited and a company is not. A missing piece explains why the gap exists and what to create to fill it.

Questions

How is a missing piece found?

From the buyers' questions: ask the engines what buyers ask, see what the answers lack or get wrong about the company, then look in the company's own data (calls, tickets, results) for the fact that fills it.

Does a missing piece guarantee a citation?

No. Neither uniqueness nor an access fix guarantees a citation, a recommendation or revenue. A missing piece raises the odds by giving engines something they need and cannot find elsewhere.

What does a missing piece look like?

A measured result, a specific fit (how the product works for a five-person team), an honest comparison, or an explanation only the company's team can give.