Contact theaivis
Published · Updated · Author: theaivis editorial team
Questions about Generative Engine Optimization (GEO), Audit methodology, pricing design, or implementation planning are welcome. We support teams using a measurement-first approach to AI visibility and usually reply within one business day.
GEO is defined here as the practice of improving how AI systems discover, describe, and cite your brand in generated answers. That differs from classic SEO alone because the success metric includes answer-layer quality (mentions, factual alignment, and quotable passages), not only ranking positions in traditional search results.
Fastest replies include the domains under review, models that matter for your funnel, and flagship URLs where wrong answers would hurt revenue or compliance. Describe the buyer questions you want assistants to answer faithfully, note whether you already baseline with GEO audits or Audit internally, and say whether you need schema upgrades, deeper help content, or pricing clarity first. After you have an account, subscription details appear in your workspace; your order or contract may differ. Teams that ship focused homepage and trust-page fixes often see directional gains across several comparable measurement cycles—not overnight guarantees.
External standards we reference
When we discuss structured data, we align vocabulary with Schema.org and implementation expectations described in Google Search Central structured data guidance . For AI governance conversations—not legal advice—we often cite the NIST AI Risk Management Framework and the OECD AI Principles as neutral framing for measurement, transparency, and human oversight.
Prefer email over forms — it keeps threads easy to forward inside your team.
Product sales & support: support@theaivis.com
Who we help
We work with marketing, SEO, product marketing, and growth teams that need a repeatable way to measure AI visibility. Typical threads include homepage and pricing clarity, schema.org coverage, help-center depth, and cross-model comparisons after product launches or repositioning.
A useful mental model is to treat GEO like an experiment program: define hypotheses (for example, “Organization JSON-LD will improve entity consistency”), ship changes, and re-measure with the same prompt set so results are comparable week over week.
How we typically respond
Most messages receive a first reply within one business day. We may ask for your primary domain, the models you care about, and which URLs matter most for revenue or trust (for example pricing, security, integrations, and documentation). That context helps us point you to the right workflow in the product and to public references such as the GEO blog and the Discovery section on the homepage.
About theaivis
Published · Updated
theaivis is named for the AI in vis (visibility): a Generative Engine Optimization (GEO) workspace that measures how assistants discover, describe, and cite brands. Work centers on brands: repeatable GEO audits, cross-model answer comparisons, buyer-aligned visibility prompts by topic and persona, scheduled measurement runs, and a shared backlog so marketing ships fixes and proves lift. Findings feed prioritized tasks—not slide decks—so marketing and SEO can re-run the same prompts on a schedule.
Built by a remote-first team focused on reproducible AI visibility outcomes: clear definitions, controlled measurement cycles, and evidence-backed content and schema improvements.
In practical terms, teams use theaivis to answer three recurring research questions: (1) how consistently is the brand mentioned across models, (2) how accurate are factual details in generated answers, and (3) which page-level or schema changes are most likely to improve citation readiness. This framework helps marketing and SEO teams tie operational work to measurable outcomes.
If you are evaluating access, start from the public narrative on the homepage, create an account at registration to get started. For methodology depth, see the blog and the machine-readable llms overview.