What's in a GEO fix?
A GEO fix is a specific, shippable proposal tied to an observed AI-visibility gap. It may include an answer block, accurate structured data, a crawl or rendering correction, or an off-site source plan. Prioritize by buyer relevance, evidence, effort, and operator control, then compare the same configured prompts after shipment. A later change is an observation, not confirmation that the fix worked.
What counts as a GEO fix?
It is the opposite of a vague recommendation. A fix specifies a reviewable change: publish this answer on this page, validate this schema, inspect this crawler policy, or pursue accurate coverage on this source. A person can ship it and a later test can record what happened, without treating the proposal as a verified cause.
The anatomy of a fix
Most fixes assemble from four building blocks:
- Answer block — a concise, self-contained answer to the prompt, placed near the top of the right page.
- Structured data — accurate FAQPage, Article, or Breadcrumb markup where it matches visible content.
- Crawl and rendering — address an observed policy or delivery gap for the exact route and crawler role.
- Source plays — pursue accurate coverage on relevant third-party pages returned for the prompt.
On-site versus off-site fixes
A team directly controls its answer blocks, markup, and serving configuration, while independent publishers control their own reviews, roundups, and community pages. Choose the next proposal from the observed gap and approval path. Neither an on-site nor an off-site change has a universal speed or decisive-effect claim.
How to prioritize fixes
Rank gaps by buyer relevance, evidence quality, implementation effort, and operator control. A high-intent prompt can justify more work, but the chosen fix should still match a documented observation. Record why it was selected so the later comparison does not invent a rationale after seeing the result.
Record the post-ship observation
Re-run the same configured prompt and engine cells on a recorded cadence after shipment, preserving skips and unavailable results. Repetition provides a comparison series, but it cannot separate the shipment from model, index, source, and run-to-run changes or establish causal improvement.
Frequently asked questions
Either. Use on-site work for a supported page, markup, or delivery hypothesis and an off-site plan for an observed third-party coverage gap. Ownership and timing differ, but neither type is inherently decisive.
There is no supported universal timeframe. Record the shipment date and compare repeated observations on the same configured cells; later movement can be reported without claiming the fix caused it.
No. Re-testing records later answers, but no change guarantees a citation or recommendation and a before-and-after does not verify causation.