Enterprise

Enterprise capabilities built to service companies at scale

Single sign-on, role-based access, API access and integration, premium support and a named contact. Every brand you run, every engine we read, one login. Tailored packages, priced with you, then invoiced.

Every answer engine, side by side, in Mentionry

Mentionry is an enterprise AI visibility platform that monitors how ChatGPT, Gemini, Google AI Overviews, and other answer engines describe your brands, across multiple entities, from a single company account. It provides the scale, security, and control needed for teams to track AI search, identify opportunities, and act on them through integrated workflows.

Tailored packages: what Enterprise adds to Starter

StarterEnterprise
Brands on one login1Every brand you run
Answer enginesChatGPT, Gemini and Google AI OverviewsChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, Grok, DeepSeek, Claude and Google AI Overviews
Prompts tracked50400, set on the quote
Seats1From 10
Regions and languages1 and 15 and 5, set on the quote
Agent runs a month1002,000, and up
API keys and MCP serverMCP serverBoth
Single sign-onNoYes
SupportEmail, same working dayA named contact
How you buyCard, self-serveQuoted, then invoiced

Why it is quoted

Nine engines at 400 prompts a day cost more to deliver than any flat figure we would print, and the pricing page says so rather than printing one. The quote is built on brands, engines, regions and seats, and the number on it is the number you are invoiced. There is no setup fee.

An enterprise AI visibility platform for multi‑brand tracking

Where a Starter plan tracks one brand, Enterprise puts every brand, subsidiary, and product line you manage onto one login. You see each brand's visibility score, share of voice, and citations from the same dashboard, grouped by client or division.

This means you can compare how ChatGPT describes your premium line against your value line, or track a competitor mentioned across all your prompts, without switching accounts. The readings for each brand are kept separate, with their own prompts, knowledge bases, and agent settings, but the overview is consolidated for leadership reporting.

AI search monitoring across the engines that matter

Enterprise reads from up to nine answer engines daily, including ChatGPT, Perplexity, Google AI Mode, Gemini, Claude, and Google AI Overviews. This wider net is crucial because buyer habits fragment by region and persona. A technical audience may use Claude, while a consumer asks Google AI Overviews.

You set which engines to track per brand or per prompt on your quote. The platform records the full answer text, every cited URL, and every named competitor from each engine, giving you a complete picture of your AI search presence.

Scale and control for distributed teams

Enterprise plans start from ten seats, with single sign‑on (SSO) for secure, centralised access. API keys let your data team pipe visibility metrics into internal dashboards, while the included MCP server allows your engineers to connect custom tools to the AI Marketer.

Quotas for prompts, agent runs, regions, and languages are set on your quote to match your operational scale. You might track 400 prompts across five regions, with daily readings in five languages, and run thousands of automated agent workflows each month, all within a predictable scope.

How enterprise AEO moves from insight to action

Enterprise AEO, or answer engine optimization, extends beyond monitoring. The AI Marketer agent can draft responses to journalist requests found in Opportunities, create briefs for new landing pages based on citation gaps, and generate weekly visibility digests, all from the shared context of your brand kits.

With 2,000 or more agent runs included monthly, you can automate routine checks and content drafts across all your brands. Every action that changes data in a connected app, like HubSpot or Slack, is presented as an approval card, ensuring human oversight at scale.

Structured support and how to buy

Enterprise is sold on a quote, with no setup fee, and invoiced annually. The process begins with a conversation to map your brands, target engines, and required volumes. You receive a named contact for ongoing support.

This model ensures the platform is configured for your specific use cases from the start, whether you need to track AI visibility for a portfolio of ten brands or monitor a single global brand across multiple languages and answer engines.

What you will not find here

This is an index for the enterprise section of our site. You will not find detailed technical specifications for the API or MCP server on this page, as those live on their own dedicated pages. Similarly, the deep configuration guides for multi‑region tracking or SSO setup are covered elsewhere.

We do not offer panelled data on what all assistant users are asking, nor can we backfill historical data before you start tracking a prompt. Proactive, unscheduled alerts for sentiment drops are not built, though you can create scheduled agents to monitor for them.

Questions

The core difference is scale and control. Starter is for one brand, one seat, tracking three answer engines. Enterprise is for multiple brands and teams, with from ten seats, single sign‑on, API access, and the ability to track up to nine answer engines. Quotas for prompts, regions, and agent runs are customised on your quote to fit your organisation's size.

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