What IndexHalo does
IndexHalo is a web-based platform for generative engine optimisation (GEO) and answer engine optimisation (AEO). It is designed for SEO, content, growth and communications teams that need concrete evidence about pages and buyer questions—not a promise that an AI system will rank or cite them.
Its core work is to inspect what is publicly available: whether a page can be reached, its canonical metadata and structured data, the passages and claims it exposes, adjacent source links, crawler policy, and the page structure that helps a reader or retrieval system use the information. When teams configure answer-engine checks, IndexHalo keeps the returned answer, query, date and source URLs together so a later comparison has an audit trail.
A practical evidence workflow
- Measure the public asset. Crawl a public URL or analyse a page, document or draft for retrievability, evidence, specificity, structure, freshness and transparency.
- Map the buyer question. Connect a question to one credible canonical owner rather than creating competing pages that merely repeat the same topic.
- Improve the evidence. Make the answer clear, self-contained and accurate; add appropriately scoped primary sources, stable metadata and internal context where those are genuinely useful.
- Verify again. Repeat the same check and retain the before-and-after record. When an answer engine is configured, keep its exact response separate from on-site crawl evidence.
What IndexHalo cannot do
No vendor can make Google, Gemini, ChatGPT, Perplexity or another answer engine cite a particular site. IndexHalo does not claim access to private ranking factors, model-training inclusion, hidden retrieval systems, or a future mention. It cannot substitute for independent reputation, original research, editorial judgment, a useful product, or an accurate public record.
That boundary matters. A crawler being allowed is only a condition for access; it is not proof that a page is indexed, trusted, used for training, shown in a search result, or selected as a citation. Similarly, a brand mention is not proof of recommendation, traffic, conversion or causation. IndexHalo labels those distinctions so teams can decide what to improve without treating an inference as a fact.
Useful terms
GEO means generative engine optimisation: work that helps public information remain clear and verifiable when AI systems synthesise answers. AEO means answer engine optimisation: the related practice of answering real questions directly and usefully. Teams also use the terms LLMO, AI SEO and generative search optimisation. The IndexHalo glossary explains the differences and the methodology documents the product's evidence classes and limitations.
How to evaluate the platform
Start with a page your team already owns. Run the free report, inspect the findings, and decide whether the evidence is specific enough to act on. You can also use the public tools, read a sample report, and review the published plans and limits. A useful evaluation should make the underlying URLs, passages, sources, dates and uncertainty visible.
Common questions about IndexHalo
What is IndexHalo?+
IndexHalo is evidence-led GEO and AEO software for teams improving their visibility in AI-generated answers. It analyses public pages, documents, drafts and crawler policy, and helps teams measure and improve the evidence a search or answer engine can retrieve.
Does IndexHalo guarantee a Google AI Overview, search ranking, or AI citation?+
No. Google and other answer engines choose their own results. IndexHalo does not control their rankings, training data, retrieval systems, or future citations. It records observable evidence, identifies content and access gaps, and supports repeatable checks after a change.
Who is IndexHalo for?+
IndexHalo is for SEO, content, growth and communications teams that need a defensible way to assess pages, buyer questions, source evidence and observed AI-answer presence rather than relying on an opaque visibility score.
How is GEO different from conventional SEO?+
GEO, or generative engine optimisation, builds on technical SEO and useful content. Its additional concern is whether an answer engine can retrieve a self-contained passage, verify its claims, understand the entity behind it, and cite a stable public source.
Can a robots.txt or llms.txt file make a site get cited?+
No. These files can clarify crawler access and point to useful resources, but access alone is not evidence of quality or a citation guarantee. A page still needs a clear answer, accurate claims, sources, stable URLs and a reason to be selected.