The Prompting Company

The Prompting Company helps teams improve visibility in AI answers and usability for AI agents with tracking, content, audits, and enterprise controls.

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What The Prompting Company does

The Prompting Company is a product for teams that want their software to be discovered and used by AI systems. The homepage frames the product around two related goals: getting cited in AI answers and making products usable when agents try to complete tasks.

The site describes a workflow that starts with identifying user questions or agent workflows, then creating or fixing content and product surfaces so AI can reference or operate on them. Pricing is structured around prompt tracking, AI-optimized content, audits, integrations, and higher-touch support for teams that need more scale.

Core capabilities

Question discovery

Find the exact questions users ask so teams can build content around the prompts and topics that matter in AI search.

AI-optimized content generation

Create content optimized for AI so the product can become a source that AI systems reference in answers.

AI traffic and mention tracking

Track incoming traffic and mentions from AI bots to understand whether the product is appearing in AI-driven discovery.

Agent workflow mapping

Map the workflows agents run on a user’s behalf so teams can see how AI systems try to use the product.

Friction detection

Surface breakpoints such as misconfigured API setup, missing documentation, or unclear error messages.

Readiness and visibility audits

Use audit-style tools to assess site readiness, competitive visibility, and agent readiness across domains.

Where it fits

AI search discovery
Use the platform to identify the questions people ask in AI search, then create content that gives AI systems a source worth citing.
Visibility monitoring
Use audits and tracking to understand whether AI bots are mentioning your product and where visibility is changing over time.
Agent usability testing
Use the workflow mapping tools to see how agents attempt tasks in your product and where they fail or slow down.
Site readiness review
Use the readiness audits to check for discovery files, bot controls, protocol metadata, commerce signals, and agent-friendly content access.
Enterprise rollout
Use enterprise features when teams need SAML SSO, access controls, API access, and support for larger deployments.

Pros and Cons

Pros

Covers both AI discovery and AI usability, not just visibility tracking.
Offers a clear staged workflow: find questions, generate content, track results, or map workflows and fix gaps.
Includes audit tools for site readiness, AI visibility, and agent benchmarking.
Provides tiered plans for smaller teams, managed service, and enterprise needs.
Enterprise page mentions SAML SSO, role-based access control, API access, and premium support.

Cons

The public site gives limited detail on specific integrations beyond Google Analytics and PostHog.
The source does not provide a full implementation guide, so setup depth and exact outputs are unclear from the available pages.
Some capabilities are described at a high level only, especially around agent experience and workflow testing.

FAQ

What is agent experience?

Agent experience is the company’s term for making a product discoverable and usable by AI systems, not just by human visitors. The site separates this into discovery, where AI should cite your product in answers, and usability, where AI agents should be able to use your product to complete tasks.

Which AI agents and platforms do you support?

The site references support for ChatGPT, Perplexity, Gemini, DeepSeek, Google AI, and Claude Code. The pricing page also lists model coverage that includes ChatGPT, Perplexity, Gemini, Google AI, DeepSeek, Claude, Claude Code, Codex, and OpenCode on higher tiers.

Can't I track this with my existing analytics?

The site says it provides tracking, AI-optimized content generation, AI visibility audits, and agent workflow audits rather than only reporting. It also mentions integrations with Google Analytics and PostHog on the pricing page, but the product is positioned around AI discovery and agent experience rather than standard web analytics alone.

Do I need to change my product to get started?

The site presents the product as something teams can start with through a free trial or with audit-style tools. The enterprise page also mentions API access and integration, but the source does not spell out a required product change before getting started.

How quickly will I see results?

The source does not give a specific timeline. It does indicate that the product can monitor AI traffic, test agent workflows, and surface gaps such as missing documentation or misconfigured setup, but it does not promise a defined time to results.

How is this different from SEO?

The product focuses on being cited and used by AI systems, while SEO focuses on search engines and human search behavior. The homepage frames this as optimizing for discovery in AI answers and usability in agent workflows rather than only traditional search rankings.

Quick Facts

Category: AI search and agent experience
Website: promptingcompany.com
Primary focus: Getting products cited by LLMs and usable by AI agents
Pricing model: Paid plans with a free trial and contact sales options
Notable tools: Agent Experience Audit, Site Readiness Audit, AI Visibility Audit, Agent Benchmark
Enterprise signals: SAML SSO, role-based access control, API access, premium support

Аналитика The Prompting Company

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Трафик и рейтинги

Посещений в месяц: 35,9 тыс.
Средняя длительность визита: 00:40
Страниц за визит: 2.89

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