Industry Metrics
Benchmark your AI visibility against industry averages and see where you stand in your category.
Before you can improve a client's AI visibility, you need to know who already owns the conversation. Most teams jump straight into content or “AI SEO” without understanding which brands AI treats as leaders, what buying criteria it actually uses, and which shortlists your client is missing from. Industry Metrics turns that black box into a structured competitive leaderboard, so your strategy starts with real AI market intelligence instead of assumptions.
Clarity, step by step
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Brand & Sector Setup — Enter your client’s brand name and website domain. PhantomRank uses Tavily and our own parsers to auto‑enrich the profile: industry, geo, and a short description are pre‑filled so you don’t start from a blank form.
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Review & Refine the Company Card — Confirm or edit the auto‑filled details. You can tighten the industry label (e.g., “Premium multi‑specialty hospital chain” instead of just “Healthcare”), specify the primary market region, and choose the buyer persona that best represents the typical decision‑maker.
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Run the AI Landscape Audit — PhantomRank runs a 4‑stage pipeline against leading AI engines: mapping active brands, extracting buying criteria, generating persona‑specific shortlists, and performing an information‑gap scan on the AI’s own answers for that sector.
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Landscape Mapping — The system groups brands into Leaders, Challengers, and Niche Specialists, and extracts each brand’s “fame claims” — the 1–2 things AI repeatedly associates with them. This tells you who AI thinks is winning and why.
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Buying Criteria & Shortlists — For each buyer type, Industry Metrics identifies the top criteria AI uses (e.g., affordability, ease of use, compliance) and which brands it recommends as best‑in‑class. It then builds shortlists for Budget, Quality, and Scale personas so you see who gets recommended, in what order, and for what reasons.
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Overlay & Export — Finally, PhantomRank overlays your client onto that map: their tier, criteria wins, missing criteria, and shortlist appearances. You can drill into competitors, inspect the sources AI used, and export everything to CSV/JSON for client‑facing decks or internal strategy docs.
What you'll see
- ✦ AI Market Leaderboard ranking every brand that AI recognizes in your client’s space, with tier badges (Leader, Challenger, Niche), presence scores, and each brand’s core “fame claims”.
- ✦ Buying Criteria Breakdown showing which factors AI uses to evaluate providers in this industry (e.g., price, reliability, integrations, support) and which brands it calls best‑in‑class for each.
- ✦ Persona‑based AI Shortlists revealing which brands AI recommends for different buyer types (e.g., Budget‑focused, Quality‑driven, Scale/Enterprise) — with reasons pulled from the AI’s own explanations.
- ✦ Client Overlay Card that shows whether your client appears in the AI landscape at all, their tier, which criteria they win, which shortlists they appear on, and which key criteria they’re missing entirely.
- ✦ Answer Placement & Sentiment snapshot summarising how prominently AI recommends each brand and whether its language is neutral, cautiously positive, or strongly endorsing.
- ✦ Source Classification report categorising every citation AI used into buckets like Community/Forum, Directory/Listing, Review Platform, Government/Regulator, Industry Media, and Brand/Company Site — so you see where authority really lives.
- ✦ Information Gaps list highlighting topics where AI’s answers are vague, outdated, or contradictory, giving you a targeted list of opportunities to become the definitive source.
- ✦ Exportable audit files — CSV for leaderboards and shortlists, plus JSON for full structured audit data that you can plug into client decks, Notion spaces, or BI tools.
What's included
- ✓ Auto‑enriched company profile via Tavily (brand name + domain → baseline industry, region, and description).
- ✓ Support for multiple industry clusters with sector‑specific prompts and criteria extraction.
- ✓ Standardised buyer personas for shortlist analysis (e.g., Budget, Quality, Scale) so comparisons stay consistent.
- ✓ AI Market Leaderboard with presence scores, tier classification (Leader/Challenger/Niche), and fame claims per brand.
- ✓ Buying Criteria analysis with best‑in‑class brands per criterion, plus the reasoning extracted from AI answers.
- ✓ Client Overlay view showing your client’s tier, criteria wins, shortlist appearances, and missing criteria in one place.
- ✓ Missing Criteria and Information Gap detection, highlighting where competitors win and where AI’s knowledge is thin or outdated.
- ✓ Persona‑based AI Shortlists ranked by buyer type, with explanations for why each brand appears.
- ✓ Source Classification across at least six source types (Community/Forum, Directory/Listing, Review Platform, Government/Regulator, Industry Media, Brand/Company Site).
- ✓ CSV export for leaderboards and shortlists, ready for client decks and spreadsheets.
- ✓ Structured JSON export for complete audit data, suitable for internal analysis or custom dashboards.
- ✓ Editable company card so you can override any auto‑filled detail before running the audit.
Built for Agency Workflows
New client onboarding and discovery
Run an Industry Metrics audit before the kickoff. Walk into the first meeting knowing which brands AI already treats as leaders, what criteria define the category, and where your client is invisible or under‑positioned. Use the leaderboard as a neutral “AI’s view of the market” to align everyone before you talk tactics.
Competitive positioning and messaging
See exactly which buying criteria your client wins on and where competitors dominate. Use AI’s own descriptions of each brand’s strengths to refine positioning, adjust messaging, and decide which narratives to lean into — instead of guessing based on internal beliefs or traditional SERPs alone.
Content and SEO roadmap planning
Use the Information Gaps and Missing Criteria outputs to build a content roadmap that matches what AI is actually missing. Instead of broad blog topics, you get a focused list of criteria and queries where high‑quality, structured content could turn your client into a primary source for future answers.
Authority source and PR planning
With Source Classification, see whether AI leans more on reviews, directories, community threads, media, or official documents in your client’s category. Plan PR, listings, and review campaigns around the channels that actually move AI’s perception, not just the ones you’ve always used.
Quarterly business reviews (QBRs)
Bring a visual AI Market Leaderboard to QBRs that shows how your client’s tier, criteria wins, and shortlist appearances have shifted over time. Export CSVs straight into slides and use them to frame why your content, PR, and review work matters for AI‑mediated demand.
Finding uncontested positioning space
Identify buying criteria and niches where no single brand is strongly associated yet. Position your client to own those gaps — and track whether AI starts repeating that positioning back over time.