Tracks how AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude) frame hubert.ai — structured AI interviews for high-volume hiring; legally defensible by design — and surfaces concrete actions to win every query.
| Company | SEO | GEO | SEO strengths | SEO weaknesses | GEO strengths | GEO weaknesses |
|---|
Ask follow-up questions about the analysis — e.g. "deep dive on geo-fix-3", "which suggestions have the fastest ROI?", "write a short internal pitch to the CEO based on the strengths".
Tracks how often AI search engines recommend Hubert — the structured AI interview platform for high-volume hiring — versus other tools in the category. Position-weighted share of voice, source-citation gaps, and concrete action items per losing query.
Weighted: rank 1 mention = 1.0 · rank 2 = 0.7 · rank 3 = 0.5 · rank 4+ = 0.3. Higher = AI engines recommend this brand more prominently across your tracked queries.
Each cell shows the brand's SoV score (0-100) for that specific query. Darker = stronger position. Empty = not mentioned.
These are the URLs AI engines fetched while answering your tracked queries. Domains where Hubert is absent = opportunities to get listed/featured.
Queries where Hubert is NOT the primary recommendation. Click "Generate action items" to get specific next steps from Claude.
Each query runs as its own HTTP request (~45-75s) — orchestrated by the browser, so individual queries stay within Cloudflare's per-invocation budget. Click Stop to halt after the current query. The UI updates live as each result lands.
Aggregates every tracked run across all queries to show who AI search engines actually mention most often. Sparklines per query show whether Hubert is gaining or losing ground over time.
Compares hubert.ai's existing Insights articles against other vendors' published content. Surfaces topic gaps where the category conversation is happening without Hubert. For each gap, generates a full article draft using approved positioning — accurate proof points, named customers (ManpowerGroup, Securitas, Coop, Malmö Stad, Hemfrid), deterministic-assessment architecture, Candidate Pledge consistency. Draft lands in Webflow CMS for review before publish.
For each real content page, generates 5–7 keyword-targeted Q&A grounded in the live page text and
injects them as FAQPage JSON-LD into Webflow Page Settings → Custom Code →
Inside <head> tag. Re-running on a page updates the existing block (managed via
marker comments). 49 pages × ~6 Q&A = ~300 new citation hooks for AI search engines.
Runs sequentially with 30s pauses to respect API rate limits. With 25 pages, expect ~15–20 minutes total. Click Refresh status to see progress.
The original analysis only audits the homepage. This tab applies the same SEO/GEO scrutiny to any single page (Product, Pricing, Case studies, Insights, Industries, etc.) — fetches the live HTML, identifies missing H1/H2, alt-text gaps, schema, lorem-ipsum, and proposes page-specific fixes you can apply via the existing Webflow flow.
Verifies that every AI search engine crawler (GPTBot, PerplexityBot, ClaudeBot, Google-Extended,
Applebot-Extended, etc.) is permitted in robots.txt. A single misconfigured Disallow
renders the site invisible to AI search regardless of content quality. Generates an optimal
robots.txt with explicit Allows for every LLM bot.
| Bot | Vendor | Status | Matched rule | Why it matters |
|---|
Apply via Webflow → Site Settings → SEO → Indexing → Robots.txt. Replace the existing content (or merge with current sitemap directive) and Publish.
Detects which third-party platforms — G2, Capterra, Wikipedia, Crunchbase, AlternativeTo, etc. — list hubert.ai versus other tools in the category. These platforms drive AI-search citation frequency: missing presence is the single biggest reason other vendors win "best AI interview tools for high-volume hiring" queries even when their product is weaker. For each gap, generates a complete onboarding pack (submission URL, category, tailored descriptions using approved Hubert positioning, screenshot list, review strategy).
✓ = listed (with review count if applicable). · = not listed. Click any · in the target row to generate an onboarding pack.
Manages champion contacts at each Hubert customer and drafts personalized review requests for G2, Capterra, TrustRadius. Each email is generated against the specific customer's context (use case, industry, role) — not templated. Track status from sent → replied → reviewed. Pre-seeded with 11 known Hubert customers from case studies.
Generates a Wikipedia-compliant draft for hubert.ai — the AI interview platform trusted by ManpowerGroup, Securitas, Coop, Malmö Stad, and other enterprises — following WP:NCORP conventions. Uses web search to find independent secondary sources (news, funding, awards, third-party case studies), assesses notability honestly, produces ready-to-submit wikitext with inline citations + infobox + Articles for Creation submission steps. A Wikipedia page is a persistent citation hook across every LLM and AI search engine.