IndexHaloDetailed guides for teams improving how their websites, research, and documents are discovered, understood, and cited by AI search systems.
Join search demand, answer readiness, observed AI mentions, recommendations, citations, conversions and revenue without blending denominators.
Read the guide →Turn buyer questions, measured demand, page ownership, answer passages, claim evidence, internal links and citations into an auditable topic strategy.
Read the guide →Calculate an auditable AI share-of-voice benchmark with a fixed question, provider and competitor denominator—then turn recommendation gaps into action.
Read the guide →Build a defensible content-renewal system using explicit review dates, claim-to-source evidence, source-link movement and automatic verification.
Read the guide →Compare public evidence across competitors, calculate fixed-question ownership, choose create, strengthen, consolidate or protect, and verify decisions.
Read the guide →Segment a website by directory, language, content type and structural cohort so GEO teams can fix recurring publishing faults and scale proven patterns.
Read the guide →A practical framework for joining exact website release diffs to comparable AI citations, search performance, analytics and accountable decisions.
Read the guide →A practical, evidence-led guide to GEO and AEO: what they measure, how they differ from SEO, and how to improve AI citation readiness.
Read the guide →How AI search citations work, from crawling and retrieval to source comparison, and which publishing signals you can improve.
Read the guide →A professional GEO audit checklist covering crawl access, evidence quality, structure, attribution, freshness, and verification.
Read the guide →A clear comparison of SEO and generative engine optimisation, including shared foundations, new measurement requirements, and a combined operating model.
Read the guide →Make reports, white papers, datasets, and PDFs easier to crawl, interpret, verify, and cite with this practical publishing workflow.
Read the guide →A defensible AI visibility framework separating crawl evidence, live citation observations, estimates, and unknowable data.
Read the guide →A practical framework for monitoring website-wide GEO health, page changes, crawl failures, citation observations, and fixes.
Read the guide →See which public page owns each buyer question across competitors, why it leads on observable evidence, and how the next benchmark proves the gap closed.
Read the guide →A practical guide to AI crawler log analysis, user-agent evidence, page coverage, response failures, privacy, and the limits of server-log claims.
Read the guide →Set up website-wide GEO monitoring with scheduled crawls, citation re-checks, evidence-decay alerts and verified thresholds—not vanity notifications.
Read the guide →Build the business case for GEO with measured demand, citation baselines, identifiable AI revenue and modelled payback—labelled as estimate, not promise.
Read the guide →Run controlled GEO experiments: freeze question sets, providers and evidence boundaries, ship one change, and measure deltas without inventing causation.
Read the guide →Measure citation share of voice with an explicit denominator: fixed questions, providers, competitors and timestamps—never a blended visibility score.
Read the guide →Track how AI answers describe your brand: named-not-cited gaps, stale claims and narrative candidates, each preserved as evidence for human review.
Read the guide →Build a buyer-question portfolio from search demand, intent and journey stage—one row per question, with provenance kept separate from AI observations.
Read the guide →Write passages an answer engine can lift verbatim: self-contained, attributed, unit-complete and provenance-linked—then verify retrieval with fixed checks.
Read the guide →Connect every material claim to its evidence with a knowledge graph: claim-to-source coverage, provenance paths and the exact gaps repair teams should fix.
Read the guide →Attribute revenue to AI answers honestly: identifiable AI sessions, conversions and revenue joined to exact citations—no reclassified direct traffic.
Read the guide →Audit GEO across languages and markets: original-language evidence, local authorities, currency and terminology—parity of usefulness, not identical copy.
Read the guide →See which domains AI answers actually return for your buyer questions, reconciled across providers—no paid or manufactured endorsement, ever.
Read the guide →Monitor exact provider statements about your brand: where answers agree, where claims drift, and which candidates need correction—agreement is not truth.
Read the guide →A practical guide to appearing as a cited source in ChatGPT answers: crawler access, passage structure, provenance, and how to test whether it worked.
Read the guide →Perplexity cites sources on almost every answer. A practical guide to crawler access, freshness, source depth and measuring whether you appear.
Read the guide →AI Overviews draw on Google's existing index. A practical guide to eligibility, passage selection, structured data and what you can and cannot control.
Read the guide →Definitions for the vocabulary of generative engine optimisation: presence rate, answer capsules, provenance, training and search crawlers, and more.
Read the guide →An evaluation framework for AI visibility platforms: what to test, which questions expose weak methodology, and when you do not need a tool at all.
Read the guide →A sourced comparison of IndexHalo and Profound: published pricing, engine coverage, what each product measures, and which fits which team.
Read the guide →A sourced comparison of IndexHalo and Otterly.ai: published prices, prompt and audit quotas, engine coverage, and which suits which team.
Read the guide →A sourced comparison of IndexHalo and Peec AI, including the fact that Peec does not publish prices, engine coverage, and multi-country tracking.
Read the guide →The reading behind the writing
The tactics in these field notes come from the same audit the product runs for signed-in accounts: a per-bot crawler-access verdict for 28 AI crawlers, re-checked on a schedule, with the exact robots.txt fix drafted for you.
Enter a domain to fetch its current robots.txt and resolve direct rules, wildcard fallbacks and missing policies per crawler.
28 crawler identities are supported. No allowed, blocked or unlisted total is presented until a live policy response for the requested domain has been parsed.