Free tool - no login
GEO Fix Preview
Preview four editable publishing artifacts for one prompt: an answer-block draft, example JSON-LD, a content brief, and a source-research plan. The deterministic preview does not inspect the supplied site, call an engine, or predict a citation.
This tool turns prompt and domain text into a transparent editing skeleton. Its suggestions are hypotheses for human review, not documented ranking or citation requirements. Validate every claim against the page and test a shipped change with a matched prompt panel.
Free and instant. No login, site crawl, engine call, ranking rule, or citation prediction.
Answer-block draft
Template placeholder for review. Verify every claim before publishing; this is not an engine recommendation or evidence of likely selection.
Content brief
Source-research hypothesis
Example JSON-LD for review
What does this GEO fix preview contain?
It contains four transparent publishing artifacts. The answer-block draft makes an intended response explicit for readers. The JSON-LD example offers a machine-readable description only when its type is appropriate and it matches the visible page. The content brief organizes questions an editor may choose to address. The source-research plan lists external contexts to investigate. None of these artifacts is evidence of retrieval, ranking, or citation.
What is an answer-block draft?
It is a short, self-contained passage that an editor can review for clarity, accuracy, trade-offs, and supporting evidence. It can help readers reach the intended answer quickly, but it is not a documented selection rule for an AI system.
No universal word count, section position, sentence form, or list format is established across AI answer providers. Treat length and order as editorial choices, then verify that the published page remains useful and accurate.
This preview has not read the site or sampled an engine. A full package can reference saved audit observations, actual site pages, and cited-source records; a reviewer still decides whether each suggested artifact is accurate and appropriate.
What can JSON-LD establish?
Valid JSON-LD can describe visible content with a schema.org vocabulary. A validator can check syntax and whether a chosen type is eligible for a documented feature. The markup does not establish that a particular AI system retrieved, used, ranked, or cited the page.
How should dates and specificity be used?
Update a page when its facts change, and state concrete, supportable details so readers can evaluate them. A recent date, named entity, or number is not by itself evidence of a retrieval or citation advantage. Accuracy and provenance come first.
Not sure which prompts deserve review first? Run the free audit and start from scoped observations.
What this preview cannot know
The tool does not know the site's content, its rivals, prompt demand, source relevance, or likely engine behavior. It only transforms the supplied prompt and domain into editable suggestions. Even after review and publication, a matched re-test describes later observations and does not isolate the cause of a change.
Frequently asked questions
Is there a required answer-block length?
No universal length or opening formula is documented across AI answer systems. Use enough space to answer the reader's question, state necessary qualifications, and support each material claim.
Do I need schema on every page?
No. Choose a valid type only when it accurately represents visible content and serves a documented use. Matching markup can describe a page; it does not make an AI system retrieve or cite it.
What are the supporting-question candidates?
They are template variations for editorial research. They do not show that an engine decomposed the prompt or that covering them changes retrieval. Validate each question against user needs and available evidence.
Is GEO different from SEO?
GEO focuses on observing and improving a brand's presence in generated answers, while SEO focuses on search discovery and ranking. The workflows overlap, and each outcome needs its own measurement.
How do I evaluate a shipped change?
Save the baseline prompt, engine, time, and sampling scope; ship a reviewed change; then repeat the same cells. Report movement, no movement, skips, repeat counts, and uncertainty. A later difference does not establish that the change caused it.
Explore the other free checks:
Turn the diagnosis into a shipped change: use the RankEcho Resources library for Find, Fix, and Prove playbooks, checklists, and templates.