27 GEO and SEO measurement tools
Every plan includes all of them, every engine. Each returns raw measurements; your agent reads them and decides. Page audits and SERP checks are free; the rest spend one credit per AI query.
- accuracy_probe examples Is AI describing this product correctly? Two checks: (1) flags wrong-PRODUCT hallucinations verbatim, and (2) a memory-vs-site div
- analyze_competition Citation concentration across a query set: which domains are cited most, and how concentrated the citations are
- ask_engine THE engine call - ask a model anything
- audit_subqueries Bulk slot check: per sub-query, are you cited, at what position, who else is
- autocomplete_expand Real queries humans type, from Google autocomplete
- brand_collision Does a bigger entity already own your brand term on Google? The api.org / American Petroleum Institute failure mode - you lose you
- brand_visibility_matrix examples Fires one vendor-blind question at parametric x grounded cells for each engine
- brand_visible_in Given any engine answer + citations: is the brand named in prose, cited as a source, or both? Free, no API call.
- chatgpt_grounded Ask an OpenAI web-search model (gpt-4o-mini, search forced) grounded
- chatgpt_parametric Ask ChatGPT WITHOUT search
- check_brand_list Is this domain in the brand-specific sub-queries Gemini auto-fires for the niche? Not on the list = invisible before retrieval eve
- check_parametric_memory Does the model know this brand with NO search, from training alone? Returns the brand list it recites
- citation_domains examples RAW: which domains get cited for one query
- citation_rank Your AI citation rate and average position vs named competitors across a query set
- cross_channel_diff Do you rank on Google but get cited by nobody? Runs Google + Gemini + ChatGPT on one query set and returns a per-query verdict: bo
- fanout_centrality How many parent queries share each sub-query (centrality) - built from AUTOCOMPLETE-expanded seeds, NOT the model's fired fan-out
- fanout_gap_report What to write: sub-queries with real demand where you are absent, and which beatable competitor to displace
- fanout_map examples Harvest the sub-queries an engine actually fires for each seed (engine = gemini | chatgpt)
- gemini_grounded Ask Gemini WITH Google search
- gemini_parametric Ask Gemini WITHOUT search
- generate_queries Buyer-intent queries for a niche, phrased the way buyers ask
- google_rank RAW: one organic Google position for one domain, via Grounder
- niche_density How crowded is this category: which brands the model searches for BY NAME (returned, not just counted), how many domains get cited
- open_slot_map Invisibility map: which contestable citation slots you are absent from, + contestable share
- page_audit examples DETERMINISTIC on-page + site-level GEO fact sheet for ONE url (fetch + parse, no LLM)
- serp_profile examples Classify the Google organic SERP (via Grounder) by domain TYPE - authority(.gov/.edu/wiki) / platform(reddit/youtube/github) / com
- slot_probe ONE sub-query: OWNED/OPEN/LOCKED/NOT_CITABLE + who holds it, every citer with its tier, and a legend for the four states