SEO GTM Consultancy
Auditing our own visibility in AI answer engines
Arcanian probed how an AI answer engine cites and describes it, scoring two AI-discovery surfaces and finding the brand invisible to category-level AI search.
72%
confidence
01 Ground
A consultancy needed to know whether AI answer engines could surface it when prospects search by category rather than by name, and what citation substrate those engines had to pull from.
- AI citation surface scored 1 of 4 (token): own domain was effectively the only citation substrate AI answer-engine probe 2026-05-29 75% confident
- AI answers surface scored 1 of 4 (token): zero brand mentions on the category query, with competitors cited instead AI answer-engine probe 2026-05-29 75% confident
02 Decide
Treat the gap as a citation-substrate problem rather than a content-quality one, and prioritize directory and aggregator presence as the prerequisite for ever appearing in category-level AI answers.
What this might get wrongSingle-run snapshot from one AI engine only; other major engines were left explicitly unknown rather than extrapolated, and confidence is flagged low-to-medium pending repeat probes.
03 Deploy
A compact two-surface scorecard with one-line evidence per finding and a named prerequisite fix.