AI search intelligence

See how AI sees
your content.

Measure whether your content is accessible, structured, attributable, and ready to cite—then compare its signals across ten major AI model families.

Built-in analysis. Independent recommendations. Transparent estimates.
No API keys · No model accounts · No technical setup

NEW ANALYSISCHECKING ENGINE

What should we trace?

Scan anything already online—or estimate the AI citability of material before you publish.

MODEL FAMILIES10
EVIDENCE LAYERS03 measured · built-in · modelled
OPENAIGEMINICLAUDECOPILOTMETA AIGROKDEEPSEEKQWEN
FROM CONTENT TO EVIDENCE

AI visibility has signals.
Make them useful.

IndexHalo turns observable content and crawl signals into decisions your team can act on—while clearly separating direct findings, optional live checks, and comparative estimates.

01TRACE

Know what is retrievable.

See the claims, headings, dates, source links, metadata, and crawler signals that IndexHalo can observe directly.

02VERIFY
DIRECT CRAWLMEASUREDSIGNAL POOLBUILT INMODEL PROFILESESTIMATED

Know what the score means.

Every finding is labelled by evidence type, so your team can defend the decisions it makes.

03IMPROVE
PRIORITY MATRIX01

Act on the next best move.

Recommendations are ordered by impact and effort so teams know what to improve first—without invented uplift claims.

MODEL COVERAGE

One report.
Three ecosystems.

Coverage follows how AI is distributed—from global assistants to specialised APIs and regional model families.

Reach figures are product-planning estimates and are labelled as such in the report.
TIER 01

Billion-user scale

Ubiquitous ecosystem integration

Meta AIOpenAIGoogle Gemini
EST. REACH~950M–1.2B
TIER 02

Enterprise + specialist

High-value professional ecosystems

Microsoft CopilotClaudeGrok
EST. REACH~220M–420M
TIER 03

Developer + emerging

API, open-weight, and regional scale

DeepSeekQwenKimiMistral
EST. REACH~25M–100M
A REPORT YOU CAN DEFEND

From raw content
to usable evidence.

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.

Directly observedBuilt-in analysisClearly estimated
INDEXHALO EVIDENCE ENGINECORE ANALYSIS ACTIVE
01 ACCESS02 AUTHORITY03 SPECIFICITY04 STRUCTURE05 FRESHNESS06 TRANSPARENCY
01
INGEST

Accept the material safely.

A public URL, pasted draft, or supported document is normalised into readable content. Public URL checks reject private-network targets and oversized sources.

INPUT
02
MAP

Build an evidence map.

IndexHalo identifies headings, quantitative claims, dates, authorship, canonical metadata, structured data, links, and public crawler guidance.

MEASURED
03
POOL

Group the signals.

The observed findings are organised into six understandable categories: retrievability, authority, specificity, structure, freshness, and transparency.

MEASURED
04
COMPARE

Read the signals through ten profiles.

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.

MODELLED
05
CROSS-REFERENCE

Check the evidence against likely citation needs.

IndexHalo cross-references source links, authorship, dates, structure, crawler access, and claim specificity to expose the gaps most likely to weaken retrieval or citation readiness.

BUILT IN
06
PRIORITISE

Turn gaps into the next actions.

Missing or weak signals become recommendations labelled by expected impact and implementation effort, with the strongest action shown first.

ACTIONABLE
WHAT THE REPORT CAN SAY

What IndexHalo directly found, where citation-readiness gaps exist, and how the same evidence compares across disclosed model profiles.

WHAT IT WILL NOT CLAIM

Private model-training data, guaranteed citations, secret ranking factors, or live vendor results that IndexHalo did not independently observe.

Test your content
SEE THE DELIVERABLE

A report built
for decisions.

This demonstration uses a fictional research article so you can explore the exact shape of an IndexHalo report without mistaking sample figures for a real audit.

DEMONSTRATION DATA · NOT A LIVE RESULT
SAMPLE REPORT · B2B AI VISIBILITY BENCHMARKILLUSTRATIVE
SOURCE2026 B2B AI Visibility Benchmark

Fictional research article · 1,840 words

EVIDENCE READINESS68/100STRONG FOUNDATION
RETRIEVABILITY82
AUTHORITY61
SPECIFICITY78
STRUCTURE74
FRESHNESS63
TRANSPARENCY52
01 · MEASURED

Six quantitative claims are retrievable

The sample article contains figures with named timeframes and units that can be isolated from the surrounding copy.

02 · MEASURED

Clear heading structure supports retrieval

One primary heading and seven descriptive subheadings divide the article into answer-sized sections.

03 · GAP

Primary evidence is under-linked

Only one external source is positioned beside a major claim, weakening independent verification.

Your report uses your content and its observable evidence. The example above is only a guided preview.

Generate my free report
CLEAR SIGNAL. NO SURPRISES.

Start with evidence.
Scale when it matters.

SIGNAL

Free report

A useful first read on any piece of content.

€0no card required
  • Evidence-based visibility score
  • 4 comparative model summaries
  • Top 3 retrievable elements
  • 1 high-impact recommendation
Run a free report
FULL INTELLIGENCE
PROFESSIONAL

IndexHalo Pro

For teams making content and market decisions.

€79per month · cancel through Stripe
  • Full 10-profile comparative estimates
  • Complete evidence and source map
  • Passage and claim extraction
  • Source-gap and crawler analysis
  • Prioritised GEO action plan
  • JSON and printable exports
YOUR CONTENT IS ALREADY TALKING

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AI is hearing.

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No card · Built-in analysis · Original uploads are not retained

INDEXHALO PROFESSIONAL

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