OtterlyAI review
The Austrian platform tracks brand mentions and citations across seven AI engines, though full coverage requires paid add-ons and SOC 2 remains pending.
GEO, or generative engine optimization, covers how brands, companies and publishers become visible inside AI-generated answers. This section examines citations, source authority, public records and the content structures that influence whether AI systems use, cite or ignore a company.
Recent red-team exercises have reached third-party services and required security response, forcing AI labs to govern the test itself as a source of risk.
A practical audit for AI-generated public content, human review, labelling, contractors and evidence of editorial responsibility.
The Berlin startup tracks brand visibility and source attribution across major AI systems, with public pricing and a still-small independent review base.
Without disclosed prompts, locations, account states and repeat testing, vendor scores are difficult to reproduce or compare.
Merchant data now feeds AI shopping directly, making stale prices, wrong availability and inconsistent terms a reputation issue.
A price or policy that an agent cannot verify can remove a brand from consideration before a customer reaches the site.
Companies may need to show who actually examined AI-written public-interest text before publication, not simply who approved it.
GEO scores can move when the brand has done nothing, making vendor attribution harder to defend.
AI search can change its sources and brand recommendations between identical queries, weakening the case for one-time visibility scores.
AI agents increasingly compare prices, policies, ownership, reviews, certifications, product history, and public evidence before companies have the chance to explain their value.
Independent reporting, analysis and practical guidance on reputation management, online reputation, AI search, crisis communications and reputation technology.