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What Is GEOly AI? GEO Data Platform for DTC Brands | GEOly | GEO/AEO Platform for DTC Brands
What Is GEOly AI? The GEO Data Platform for DTC Brands, Explained
Summary
GEOly AI is a GEO data platform for DTC brands that turns entire categories — brands, product cards, ads, and citation sources across 7 AI engines — into a queryable industry database, with an agent-native MCP server and CLI.
2026/07/05
10 min read
GEOly AI is a GEO (Generative Engine Optimization) data platform built for DTC brands. It maps how entire product categories — not just your own brand — appear across ChatGPT, Gemini, Google AI, and four other engines: which brands get recommended, which product cards appear, who runs ads, and which sources answers cite. Most GEO tools hand you a dashboard for your own brand; we built GEOly to hand you the map of the whole battlefield, plus the monitoring and agent-native tooling to act on it.
Key takeaways
GEOly AI is an industry-intelligence GEO data platform: query any brand or category's AI visibility with zero setup — a public data layer that monitoring-first tools like Profound and Peec do not offer.
Coverage spans 7 AI engines — ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Mode, Google AI Overview — plus 200+ countries and a bilingual English/Chinese interface.
The product rests on three pillars: industry intelligence, brand GEO monitoring, and agent intelligence with automation.
It is agent-native: an MCP server with up to 62 tools, a single-binary CLI, and a Skills system let ChatGPT, Claude, Cursor, or Codex pull GEO data into their work.
Four SaaS tiers run $49 to $999 per month, annual billing saves 10%, every new user gets a 3-day free trial, and industry data access is included in every tier.
Why a GEO data platform, and why now
The way people find products has changed. Instead of typing keywords and scanning links, shoppers ask an AI and get an answer — often with a product card they can buy from on the spot. On Shopify, AI-referred traffic grew roughly 7x year over year and AI-driven orders roughly 11x; ChatGPT alone runs at about 880 million monthly active users.
That moves the competition. Brands used to fight over ad slots and rankings; now they fight over whether an AI understands, trusts, and picks them. And if you cannot see how you look inside AI answers, you cannot optimize. Search had rank trackers; AI answers need their own data layer. That gap is what GEOly exists to fill.
The mission fits inside the name. GEOly = GEO + easily: make GEO simple, with zero-setup lookups, out-of-the-box metrics, and one-click diagnostics. And keep it agent-friendly, so the data lives where your agents work, not behind a login.
The three pillars
Industry intelligence, the core
This is the differentiated layer: an industry-level AI database of category trees, topics, prompts, brand leaderboards, product cards with retail offers, ChatGPT ads, citation sources, and brand perception, all queryable without setup. On top sit cross-brand competitive tools — brand comparison, category white space, brand momentum, competition difficulty, AI search demand.
A fair word about the alternatives: monitoring tools like Profound and Peec do self-brand monitoring well — you configure prompts and track your mentions. What they lack is this industry-level public data layer. Monitoring answers "how am I doing"; industry intelligence also answers "how is the whole category doing, and where are the openings." (We survey the field in our best AI SEO tools guide.)
Industry-level AI search data for the US jewelry category: 41 topics, 1,551 tracked brands, monthly AI traffic and estimated AI revenue, plus the competitive landscape ranked by Share of Model — Source: GEOly AI (app.geoly.ai)
GEO monitoring, the standard kit
The second pillar tracks your own brand's mentions, positions, citations, and sentiment across AI platforms: AIGVR visibility scoring, Share of Model, citation rates, competitor comparison, source analysis, and a 29-point GEO audit that grades how AI-ready your site is.
Agent intelligence and automation
The third pillar is an intelligence layer born for agents: an AI Agent workbench with prebuilt GEO skills (brand narrative, competitor narrative, diagnostics, intent blind spots), a skill store plus a Skill Builder for your own methods, and automated tasks with scheduled reports. The MCP, CLI, and Skills stack — covered below — extends this pillar to any agent you already use.
What you can do inside the platform
On the industry side, five modules matter most.
Category and topic explorer: category trees, topic-level competition difficulty, AI search demand, white space, and brand momentum.
AI product cards and shopping: card activation rates, listed SKUs, retail offer channels and price interception, price bands — analysis of the AI shelf itself. For Shopify sellers, this is where Share of Card lives.
Share of Card metrics for one brand: AI-recommended products, share of shopping, distinct products and top channels on the AI shopping shelf — Source: GEOly AI (app.geoly.ai)
ChatGPT ads insight: ad penetration, advertisers, and creatives — paid-layer data for GEM (Generative Engine Marketing) planning.
ChatGPT ads intelligence: tracking which brands run ad placements in ChatGPT via the Criteo network — Source: GEOly AI (app.geoly.ai)
Brand perception: the positive, negative, and neutral dimensions AI attaches to any brand, with verbatim evidence.
Citations: which domains AI cites — Reddit, media, review sites, official sites — plus ownership and content opportunities.
For your own brand: a dashboard with AIGVR and Share of Model trends; prompt-level tracking of visibility, position, and citations, including blind spots where you are recommended but never cited; competitor analysis; and the GEO audit. Automation adds scheduled tasks, reports, action plans, and integrations for GA4, Cloudflare Analytics, Notion, and Shopify.
The metric system, in plain language
AIGVR: AI generative visibility, 0-100, weighted 40% position, 25% frequency, 25% citations, aggregated equally across records.
Share of Model (SoM): your slice of visibility among you plus your competitors.
Mention rate and citation rate: how often answers mention your brand, and how often they cite your own domain, with prompts weighted equally.
Product-card activation rate: the share of answers that include a product card — how strongly the AI shelf surfaces you.
Topic coverage and competition difficulty: how many question scenarios you appear in, and a 0-100 score for how concentrated a category is.
Ad penetration: how often sponsored cards appear in answers, split by intent.
Audit score: website AI readiness from 0-100, also graded A-F.
GEOly covers seven AI engines: ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Mode, and Google AI Overview. Data collection spans 200+ countries, with industry data organized by country and language (US/English by default). The interface is bilingual, English and Chinese.
Cross-platform visibility matrix comparing brand mentions across ChatGPT, Gemini, Google AI Overview, AI Mode and Perplexity — Source: GEOly AI (app.geoly.ai)
Built agent-native: MCP, CLI, and Skills
GEOly is not only a SaaS dashboard: it is GEO data infrastructure your agents can call directly, in three pieces.
The GEO MCP server lives at app.geoly.ai/api/mcp and exposes up to 62 tools across two data planes. The own-brand plane covers KPIs, prompts, citations, competitors, audits, and GA4, with write operations such as creating prompts or triggering monitoring runs. The industry plane covers leaderboards, white space, momentum, product cards, search demand, brand comparison, and sources. Authentication is browser OAuth or a read-only token; one command connects ChatGPT, Claude, Cursor, or Codex. See our GEO MCP server setup guide for Claude Code, Cursor, and Codex.
The GEOly CLI is the terminal projection of the same server: a single zero-dependency binary, installed with one curl or PowerShell line. It prints pure JSON to stdout with branchable exit codes — a natural fit for Claude Code, Codex, n8n, and CI pipelines. CLI and MCP share one tool source, so server-side tools appear without a CLI release and definitions never drift. Download and docs live at geoly.ai/open/cli.
Skills round it out. An official SKILL.md, listed on the Codex plugin marketplace, teaches any agent to use GEOly correctly — tool selection, org/brand discovery, KPI definitions including the three citation-rate variants. Prebuilt skills cover brand narrative, competitor narrative, diagnostics, intent blind spots, and URL analysis; the skill store and Skill Builder let you package your own.
Beyond the trio: API tokens, a signed public brand-data API, the GA4, Cloudflare Analytics, Notion, and Shopify integrations, and a Chrome extension in development. Everything starts from the open platform page.
Who uses GEOly
DTC brands: see the category's AI shelf and your position, track AIGVR and SoM against competitors, pull product-card sales back from retailers to your own store. Our agentic commerce playbook walks the sequence.
GEO agencies: build diagnostics and proposals on industry intelligence, and deliver a white-label loop from shelf diagnosis to optimization to attribution.
SEO agencies: upgrade the offer from rankings to AI answer visibility; the 29-point audit is the entry point, and topic difficulty maps onto keyword-difficulty thinking.
PR agencies: see which media and communities AI actually cites, and use perception monitoring with verbatim evidence to manage how AI talks about a brand.
Content teams: pick topics with difficulty plus AI search demand, and treat "recommended but never cited" blind spots as a content gap list.
Shopify merchants: use product-card analysis — activation, listed SKUs, retail price interception — to optimize the catalog and grow AI shelf share on Shop App and ChatGPT.
Reddit teams: Reddit is among the sources AI cites most; source data shows where to build presence and how discussions convert into citations.
GEO/AEO software vendors: monitoring products generally lack industry-level GEO data for DTC brands — category structure, the AI shelf, offer interception, ads, sources. Vendors can partner with us as resellers, or buy MCP and API data services to feed that layer into their own products.
Pricing
GEOly runs on four SaaS tiers plus a custom Enterprise track. Annual billing saves 10%, every new user gets a 3-day free trial, and industry-level data access is included in every tier. Billing is subscription plus AI credits (monitoring and audits draw from a monthly allowance), paid through Stripe.
Basic, $49/month: 1 brand, 1 seat, 30 monitored prompts, 1 AI platform (ChatGPT), 900 responses and 3,000 AI credits monthly, industry data access, basic charts, email support.
Grow, $149/month: 1 brand, 2 seats, 50 prompts, 2 platforms (ChatGPT, Google AI Mode), 3,000 responses and 10,000 credits monthly — where MCP tools and ChatGPT Ads analysis unlock, with live-chat support.
GEOly AI is a Singapore company with a core team from Google and Shopify: the search-and-ads side taught us distribution, the commerce side taught us merchant ecosystems, and GEO with agentic commerce is where the two meet. To go deeper, browse our posts tagged GEO and AI visibility.
FAQ
What is GEOly AI?
GEOly AI is a GEO data platform for DTC brands: an industry-level database of how brands, products, ads, and sources appear across AI engines, combined with self-brand monitoring and an agent-native stack (MCP, CLI, Skills). Teams see the whole category, not just their own dashboard.
How is GEOly different from Profound or Peec?
Those tools focus on self-brand monitoring — configure prompts, track your own mentions — and do it well. GEOly's core is an industry-level public data layer: query any brand or category with no setup, including the AI shopping shelf, offer interception, ChatGPT ads, and citation sources, plus MCP, CLI, and Skills for agents. Monitoring is included; industry intelligence is the difference.
How much does GEOly cost?
Four tiers: Basic $49, Grow $149, Advanced $399, Plus $999 per month, with 10% off annual billing and a 3-day free trial. Industry data access is in every tier; MCP tools and ChatGPT Ads analysis start at Grow, GEO Agent at Advanced, the RESTful API at Plus. Enterprise is fully custom — contact us.
Does GEOly have an API or MCP server?
Yes. The GEO MCP server at app.geoly.ai/api/mcp exposes up to 62 tools for ChatGPT, Claude, Cursor, and Codex, with OAuth or read-only token auth. The GEOly CLI brings the same tools to terminals and CI. A RESTful API ships with Plus; Enterprise customers can buy dedicated MCP or API data services.
Which AI engines does GEOly cover?
Seven: ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Mode, and Google AI Overview, with data collected across 200+ countries and organized by country and language.
