GSO
See which sites and platforms AI relies on to understand your industry, and how it describes the sector’s maturity, attractiveness, and risks.
GSO doesn’t look at your pages. It maps the upstream information supply chain that feeds AI answers for your vertical.
Fixing your own content is only half the story. AI assistants lean on a wide supply chain of information — regulators, media, review sites, directories, and communities like Reddit. GSO shows which upstream domains shape AI’s view of your vertical and where your brand needs to show up.
Vertical
Key source metrics GSO tracks
Source Domain Share
How much of AI’s citations come from gov, media, review platforms, directories, marketplaces, communities, and company sites.
Top Source Domains
The specific sites that appear again and again as sources in your vertical.
Source Concentration
Whether AI relies on a few dominant sites or a long tail of smaller sources.
How AI sees the health of your sector
Whether AI sees the vertical as emerging, in growth, mature, or declining.
Whether AI frames the sector as high, medium, or low opportunity.
Whether AI’s narrative is mostly optimistic, neutral, or pessimistic about the future.
Which risk AI emphasises: regulation, tech, macro, customer, or operational.
Behind the scenes, GSO runs PESTEL and Five Forces‑style prompts to turn AI’s narrative into simple labels your strategy team can use.
Upstream Playbook: where to show up first
Actionable recommendations based on the domain mix AI currently trusts for your sector.
Communities
Participate in key Reddit and Quora threads.
Review Platforms
Prioritise G2, Capterra, and Trustpilot listings.
Industry Media
Publish PR pieces and explainers that media can cite.
How GSO builds the map
- Select an industry cluster (for example, payments, retail banking, SaaS, healthcare).
- Run a 24‑prompt catalogue across three blocks: Visibility, Sources, and Perception.
- Parse every cited URL and classify domains into gov, media, review, directory, marketplace, community, and company.
- Convert AI’s narrative into simple enums: maturity, attractiveness, optimism, and dominant risk.
What you'll see
Visibility Block
Competitive tiers, rising brands, differentiation axes, and common myths AI repeats.
Sources Block
Map of domain types (regulator, media, reviews, communities) AI relies on most.
Perception Block
Maps AI’s sector knowledge into PESTEL and Porter’s Five Forces frameworks.
Source Domain Share
Percentage of citations coming from each domain type in a given cluster.
Industry Labels
Structured enums for Maturity, Attractiveness, Optimism, and Dominant Risk.
Upstream Playbook
Targeted channels (e.g., Reddit, high‑trust review sites) to influence first.
Myths & Misconceptions
Topics where AI is currently wrong, vague, or oversimplified about the industry.
Exportable Audits
CSV for source shares and JSON for full block‑level data.
What's included
- Predefined industry clusters for key verticals
- 24‑prompt catalogue (Visibility, Sources, Perception)
- Source Domain classification into 7 distinct categories
- Source Domain Share percentage metrics
- Heuristic classifiers for qualitative AI text into enums
- PESTEL and Porter’s Five Forces mappings
- Upstream Playbook recommendations
- Export to CSV/JSON
Pipeline breakdown
Choose a Cluster
Select a predefined cluster (e.g., SaaS CRM, Retail Banking) tuned with sector-specific prompts.
Run the Blocks
Executes 24 prompts across Visibility, Sources, and Perception blocks.
Parse Sources
Classifies every cited URL into domain types (gov, media, review, community, etc.).
Apply Classifiers
Converts AI’s narrative into structured enums like Maturity, Risk, and Attractiveness.
Synthesize Map
Combines Visibility findings with Sources to build the upstream map of the sector.
Deliver Report
Presents block summaries, domain share charts, and a plain-language Upstream Playbook.
Built for Agency Workflows
- Designing a channel strategy Shift budget towards the domain types (like reviews or Reddit) that dominate Source Domain Share.
- Planning PR campaigns Build campaigns that correct Myths & Misconceptions on the exact domains AI relies on.
- Supporting C-level strategy Bring an AI‑first view of market maturity, attractiveness, and dominant risks to the board.
- Aligning cross-functional teams SEO, Content, and Comms teams finally share the same upstream roadmap for AI influence.
- Choosing interventions Combine with Industry Metrics to see both where your brand is weak, and where the sector’s supply chain is weak.
- Market‑entry scouting Run GSO before entering a vertical to see if AI's view of the market is pessimistic or heavily regulated.
Frequently asked questions
Everything you need to know about AI visibility tracking and search intelligence.
AI visibility is how often, and in what context, your brand shows up when people ask AI assistants like ChatGPT, Gemini, Claude, Grok, or Perplexity for recommendations. Most teams still measure this by manually typing prompts into each chatbot and eyeballing the results — which doesn't scale past a handful of queries. PhantomRank automates that process: it runs your brand through dozens of buyer-journey prompts across all five engines on a schedule, so you get a real measurement instead of a spot-check.
It's a probability, not a rank — and any tool selling you a fixed position is misrepresenting how AI actually works. Because AI answers vary run to run, the useful metric is how often your brand appears across repeated queries — for example, showing up in 6 of 10 runs of the same prompt category, tracked over time. That's how PhantomRank reports visibility: as a trend built from repeated, structured measurement, not a single lucky (or unlucky) snapshot.
They're the same discipline evolving, not a separate one — but the mechanics genuinely shift. Traditional SEO optimizes to rank; GEO and AEO optimize to be cited inside a generated answer. That means structure matters more (self-contained sections, clear verdicts, comparison tables) and keyword density matters less. PhantomRank tracks both sides: whether you show up (visibility) and whether AI trusts you enough to cite you as a source (synthesis).
It makes word-for-word tracking pointless, which is exactly why PhantomRank doesn't do that. Instead of comparing exact phrasing, we convert each AI response into a vector embedding and measure its semantic similarity to your brand's core messaging — a method we call semantic resonance. The wording can shift every time the model answers; the underlying meaning, and therefore the resonance score, stays stable enough to actually track over weeks and months.
By never handing the model your brand name to begin with. If a prompt already contains your brand, you're testing whether the AI can repeat a name you gave it — not whether it surfaces you naturally. PhantomRank runs category-level, persona-based prompts that mirror how real buyers actually ask ('best CRM for a 10-person agency'), so what comes back reflects genuine visibility, not a fed answer.
Partially, and PhantomRank is built to close that gap rather than pretend it doesn't exist. Attribution from AI tools is genuinely harder than from Google — most people don't type 'found you on ChatGPT' into a lead form. What you can do is correlate periods of higher Share of Synthesis with pipeline and self-reported attribution, and track referral traffic from the citations AI does generate. It's directional, not perfect — and we'd rather tell you that than oversell a dashboard that claims otherwise.
Not from the AI platforms themselves — none of them offer an official visibility dashboard the way Google Search Console does. That's the specific gap PhantomRank fills: one dashboard that queries ChatGPT, Gemini, Claude, Grok, and Perplexity on a recurring schedule and gives you the equivalent view — mentions, citations, and crawl behavior — that Search Console gives you for classic search.
Content built in self-contained, quotable chunks — not classic long-form narrative blog posts. AI engines pull cleanly from sections that work as standalone answers, put a clear verdict in the first two or three sentences, and use structured formats like comparison tables and FAQs. PhantomRank's Information Gap Analysis tells you which specific topics in your category AI is currently answering badly, so you know exactly where writing this kind of content will move the needle.
A mention means AI named your brand in its answer. A citation means it linked back to your site as a source. The gap between them matters more than most teams realize: a brand mentioned constantly but never cited is winning awareness and losing referral traffic. PhantomRank tracks both separately — AI Share of Voice for mentions, Share of Synthesis for citations — because optimizing for one doesn't automatically improve the other.
ChatGPT, Gemini, Claude, Grok, and Perplexity — across 28 model variants — the engines Indian and global buyers actually use for research and recommendations, tracked in one place instead of five separate manual checks.
It's when an AI engine crawls your page while researching an answer, reads it, and still chooses to cite a competitor instead. That's not an awareness problem — your site was found — it's a content relevance or authority gap, and it's specific enough to fix.
No tool can guarantee that, and any tool claiming 'control' over AI answers isn't being straight with you. PhantomRank gives you an accurate diagnostic of where you stand today — including the probability-based visibility and semantic resonance scores above — and a content roadmap to close specific, identified gaps.
Stop guessing what ChatGPT says about you.
PhantomRank gives you the diagnostics, competitor benchmarks, and concrete content strategy to build visibility where your next buyers are actually looking.