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Talk to an INFINET specialist about your reputation goals.
GEO agency for generative engine optimization across ChatGPT, Gemini, Perplexity, AI Overviews, Copilot, and answer engines.
GEO Agency is a focused reputation program for financial, crypto, fintech, SaaS, and high-risk brands competing for AI-generated recommendations. INFINET audits large language models, AI search engines, Knowledge Graph, Wikidata, third-party publication sources, and structured website content, identifies the visibility gaps and policy issues that influence buyer trust, then builds a documented response plan. The engagement combines platform operations, public proof, content placement, and reporting so reputation work becomes measurable instead of reactive.

The campaign is built around the channels, platforms, and proof points that influence buyers before they contact you.
Baseline audit of large language models, AI search engines, Knowledge Graph, Wikidata, third-party publication sources, and structured website content visibility, policy exposure, review quality, and search impact
Evidence collection for AI answers recommending competitors, missing brand context, weak citeability, inconsistent entity facts, and unhelpful content formats, including account patterns, timing data, screenshots, and internal records where available
Generative engine audit, entity alignment, citation development, content restructuring, schema updates, and answer-share reporting by model
Response and escalation playbooks aligned to compliance, brand voice, and platform rules
Positive proof-building through credible third-party content, verified customer signals, and owned search assets
Monthly reporting on visibility, sentiment, removal progress, and conversion-risk reduction
Generative engine optimization depends on what machines can verify about your brand. We build that verification layer with structured data, third-party proof, authoritative sources, and content that answers exact buyer prompts.
Clear answers for teams comparing ORM, SERM, review, and authority-building options.
It includes audit, prioritization, evidence preparation, platform response, escalation management, and monthly reporting. For financial, crypto, fintech, SaaS, and high-risk brands competing for AI-generated recommendations, the work is shaped around large language models, AI search engines, Knowledge Graph, Wikidata, third-party publication sources, and structured website content because those surfaces influence buyer trust before a prospect talks to sales.
No. Genuine customer feedback and factually accurate public content usually cannot be removed. We focus removal work on policy-violating, fake, coordinated, off-topic, defamatory, or unverifiable content, then use suppression and proof-building for items that must stay live.
Most programs show measurable movement inside 30 to 90 days. Complex cases involving review-platform investigations, AI answer correction, or high-authority negative content can take 3 to 6 months because platform and search systems need time to process stronger signals.
We measure success against the starting baseline: rating movement, removal decisions, search result changes, citation quality, sentiment change, and the number of trust-blocking surfaces brought under control. The core outcome is higher recommendation rate, stronger citation share, and cleaner entity descriptions across AI engines.
INFINET connects platform response, public proof, search visibility, and reporting so reputation work is structured instead of reactive.
Generative engines tracked
Typical deep entity improvement window
Citation-led optimization plan
Talk to an INFINET specialist about your reputation goals.