GEOlikeaPro Features — the full AI search visibility workflow
The full GEO workflow, in one place.
GEOlikeaPro breaks AI search visibility into distinct problems and gives you a dedicated module for each. Run an audit, diagnose the gaps, fix the content, track the changes — every module outputs the specific next action, not just a score or a report.
1. Projects — organize brands, topics, and tracked queries
Group every audit under a branded project so historical results stay tied to the brand you're tracking. Each project holds a brand name, a website URL (used by Vitals to run six auto-verified checks), and a list of tracked topics. Run an audit from a project and the results are stored against it, so you can see trend charts, compare before and after, and export the full audit history any time.
On Free you get a single project with five tracked queries; on Scale you get up to five projects with ten queries per topic and scheduled re-runs.
2. SOV Dashboard — Share of Voice across four AI models
The SOV Dashboard sends your brand name and a target query to four AI models simultaneously: ChatGPT (GPT-4o), Perplexity, Claude, and Gemini. Each model returns a real response. GEOlikeaPro parses every response to determine whether your brand was mentioned, how prominently it appeared, and whether the mention was a recommendation, a neutral citation, or absent entirely.
One SOV audit equals one query tested against four models — four real API responses analyzed, scored, and explained. The dashboard shows your Share of Voice as a percentage across all four models, with a per-model breakdown so you can see where you're strong and where you're invisible.
3. Models — see the full answer from every AI
The Models tab opens up the raw output behind your SOV score. For each model (ChatGPT, Claude, Gemini, Perplexity) you get the full simulated response to your query, with confidence, authority, and relevance scores attached. Use it to understand exactly why some models cite you and others don't, and what the cited competitors are doing differently.
4. Recommendations — a competitor-specific action plan
Recommendations turns audit data into a concrete to-do list. It surfaces every competitor that was cited instead of you, explains the reason each model picked them, and spells out what content, structured data, or authority signal you'd need to add to flip the citation. It's the bridge between "what is my SOV" and "what do I do next Monday morning."
5. Vitals — five visibility metrics + six automated checks
Vitals scores your brand on five key visibility dimensions — Presence, Clarity, Coverage, Authority, and Preference — on a 0–100 scale, flagged as Critical, Watch, or Stable so you know where to spend time first. When your project has a website URL configured, Vitals also runs six auto-verified checks against your live site: structured data, robots.txt, sitemap, FAQ schema, review markup, and site reachability for AI crawlers.
6. Topic Matrix — 12 queries, 48 model runs, one priority matrix
Topic Matrix auto-generates 12 relevant queries for your brand based on product category, niche, and competitors, then runs every query through the SOV pipeline. That's 48 total model responses (12 × 4) returned as a priority matrix showing which topics you own, which your competitors own, and which are unclaimed territory.
The gap analysis highlights the highest-opportunity queries: ones where no brand dominates across all four models. These are the queries where new, well-structured content has the best chance of getting cited.
7. Crawler View — see your page through AI eyes
Crawler View simulates how three major AI crawlers extract content from your page: PerplexityBot, GPTBot (OpenAI's crawler for ChatGPT), and Claude-Web (Anthropic's web reader). Each crawler has different parsing behavior — they don't all see the same content.
The output shows exactly which text each crawler would extract, which sections they'd likely cite, and which parts they'd skip entirely. JavaScript-rendered content, content behind accordions, and deeply nested DOM structures are common blind spots that Crawler View exposes.
8. Query Log — every audit, searchable
Query Log keeps a timestamped record of every audit you've run: brand, query, SOV score, citation count. Use it to compare results before and after you ship a content change, or to jump back into any past run and re-read the model responses. The last 50 audits are persisted locally so the log is available even without a project.
9. Insights — trend charts, heatmaps, and benchmarks
Insights turns your audit history into analytics: trend lines over time, cross-query heatmaps, model-level breakdowns, before/after comparisons on specific content changes, and benchmarks against other users in the same category. Filter by brand and export any view as CSV.
10. FAQ Generator — Shopify-ready FAQ metafields with structured data
FAQ Generator creates FAQ content for any page URL, formatted as Shopify metafields with FAQPage structured data (JSON-LD) included. It supports multiple languages — up to two simultaneously — and generates questions based on what AI models are actually being asked about your product category.
The structured data output follows Google's FAQPage schema specification exactly, so the generated FAQs are eligible for rich results in traditional search while also providing the kind of clearly-structured Q&A content that AI models prefer to cite.
11. Quote Booster — expert citations injected at the right paragraph
AI models prefer content that cites authoritative sources. Quote Booster searches scientific journals and authoritative publications for expert quotes relevant to your content topic, then identifies the optimal insertion point — the specific paragraph where a citation would strengthen the argument and increase the likelihood of AI citation.
Each quote costs $0.05. The output is a ready-to-paste content block with the quote, attribution, and surrounding context already formatted.
12. Agent Standards — is your site ready for AI agents?
AI assistants like ChatGPT, Claude, and Gemini don't just read your pages — they look for machine-readable signals that tell them how to use and transact on your site. Agent Standards checks five of those signals on your domain (covering llms.txt, agent capabilities, structured commerce data, crawler access, and policy files) and returns a plain-English report on what's working, what's missing, and exactly how to fix it.
Every check returns a readiness score, a top-priority fix, and downloadable PDF/CSV reports you can hand to your dev team.
13. Brand Verifier — AI perception check
Brand Verifier pulls your brand identity from your About page (or any brand page URL), then checks how ChatGPT, Claude, and Gemini actually describe your brand — and what the open web is saying about you. You get an AI visibility score, a model-by-model recognition breakdown, a web-search findings panel, and a gap analysis that tells you exactly what the models got wrong and what authority signals would fix it.
14. Team — share the workspace, keep separate units
On Scale, invite teammates into your workspace. Every member gets their own units-per-hour bucket so nobody can burn your entire monthly allocation, and every audit is visible to the rest of the team in Insights and Query Log. Scale ships with three seats and scales up to five at $20/seat.
Every module is built around the same pipeline. Create a project, run an SOV audit, read the per-model responses, review Vitals and Recommendations, fill gaps with Quote Booster and FAQ Generator, verify with Agent Standards and Brand Verifier, and watch the trend in Insights.
Start a free audit — 50 units per month, no card required.