How much does MarkGrid cost?

A dedicated solutions architect leads a 14-day implementation: integrate your data sources, configure agents for your brand voice and category, run a baseline audit, and bring the platform live alongside your team. Most customers see actionable intelligence in the first week.

Yes. Upgrades take effect immediately; downgrades take effect at the next billing cycle. Annual commitments include negotiated pricing and account credits.

MarkGrid is model-agnostic. The Professional plan routes across GPT-4o, Claude, and Gemini automatically based on task. Enterprise customers can connect their own model deployments or specify regional models for compliance.

Yes. Every plan has a 3-month minimum term; annual commitments include negotiated pricing, dedicated procurement support, and a signed MSA. Contact sales for terms.

Plans are billed in local currency. MarkGrid Go is ₹50,000 a month in India, AED 2,990 in the UAE, $750 in the US and €700 in Europe; Professional is ₹2,00,000, AED 11,990, $3,000 and €2,800 respectively. Enterprise is priced on a call.

Yes. We run a structured 30-day paid pilot for enterprise prospects, with success criteria defined upfront and full team enablement. Talk to sales to scope one.

MarkGrid is the AI workforce for enterprise marketing: fifteen integrated modules and 650+ autonomous AI agents that plan, execute and measure marketing across every channel from a single platform. It is built by operators who have run marketing programmes at Unilever, Pfizer, Samsung, Domino's, Amazon and Airtel. Rather than adding another point tool, MarkGrid replaces a fragmented stack: Model Share tracks how often ChatGPT, Gemini, Perplexity, Claude and Copilot recommend your brand; Neuro-Marketing scores creative on five neuroscience-trained models before media spend; Creator Real-Time Audit clears influencer video for brand safety before it publishes; and E-commerce Intelligence connects spend to shelf performance. Eleven further modules cover SEO, content, competitive intelligence, community signals, attribution and board-ready reporting. Each works on its own and shares data with the rest.

Model Share is the percentage of AI-generated answers, within a defined prompt set, in which a brand is mentioned. It is the generative-search analogue of share of voice, measured across ChatGPT, Gemini, Perplexity, Claude and Copilot. The metric exists because buyers increasingly stop at the AI answer instead of clicking through to a ranked list, so a brand can hold position one in Google and still be absent from the response a buyer actually reads. MarkGrid runs your category's real buyer prompts against each model on a schedule, records whether you were named, how you were described and which sources the model cited, then tracks the trend against named competitors. Because the citation sources are captured too, Model Share shows not just that visibility moved but which page, review or discussion moved it, which is what makes it actionable rather than merely diagnostic.