Map the website safely.
IndexHalo reads declared sitemaps, follows same-domain links, respects crawler rules, rejects private-network targets, and records every analysed, blocked, redirected, or failed page.
IndexHalo follows a staged evidence process. It observes what is publicly available, maps citation-relevant signals, compares those signals across model profiles, and turns gaps into a ranked action plan.
IndexHalo reads declared sitemaps, follows same-domain links, respects crawler rules, rejects private-network targets, and records every analysed, blocked, redirected, or failed page.
Each page is checked for headings, claims, dates, authorship, canonical metadata, structured data, source links, and crawler access. Scanned PDFs and supported images pass through OCR.
The observed findings are organised into six understandable categories: retrievability, authority, specificity, structure, freshness, and transparency.
The same evidence is compared across ten model-family profiles. These are disclosed estimates based on the content signals—not access to any vendor’s private ranking system.
When IndexHalo’s server-side provider connections are available, it stores the exact query, timestamp, returned citations, target position, and competing domains. Customers never supply API keys.
Every recommendation states the affected pages, owner, current condition, target condition, effort, expected signal impact, and the recrawl test used to verify completion.
Daily, weekly, or monthly snapshots record score movement, new and removed pages, changed evidence, crawl failures, and citation gains or losses.
Each clip is the real product doing one job end to end — recorded by script from a seeded local tenant, so what you see is what the software does.
One page is a sample. The whole site is the audit. Point IndexHalo at the domain — a bounded crawl of up to 50 pages. The crawl runs in real time. Every page fetched, parsed and measured.
The whole-site report: one readiness score built from per-page evidence. Site-wide signals, measured across the crawl — not sampled, not modelled. The page inventory: every URL scored, each with its own flagged gap.
And one prioritised implementation plan for the whole site.
Before optimising for AI answers: can the crawlers even reach the site? Fifteen AI bots, each resolved against the site's real robots policy. Training bots, search bots, user-triggered fetchers — a verdict per bot.
Direct rules, wildcards, defaults — every verdict traces to the rule behind it. Here: all fifteen allowed. That is a policy decision — make it deliberately. Resolved from the live robots.txt. Measured, not assumed.
Check a document before it ships — not after it is published. A scanned PDF draft: image-only, no text layer at all. The real OCR path runs, then the same measured analysis. Shown in real time.
What an engine could extract: citation-ready sentences, the strongest passage, reading clarity. What to fix before publishing — while fixing is still cheap. An honest score for content that has never touched the public web.
What IndexHalo fetched, extracted, measured, and observed in timestamped provider responses—including the exact citation links returned in those checks.
Undisclosed private training data or guaranteed future citations. IndexHalo never disguises estimates as direct vendor evidence.
No card · Built-in analysis · Original uploads are not retained