10 new ways to win AI search: the GEOpta platform launch

GEOpta, built by Dribble Software Private Limited at geopta.com, helps brands see and improve how AI engines like ChatGPT, Claude, Perplexity, Gemini, Grok and DeepSeek talk about them. It started as the fastest way to measure your AI visibility. With this launch it becomes a full Generative Engine Optimization (GEO) platform that also helps you fix, deploy, prove and defend that visibility. Below we explain the ten capabilities we just shipped and, more usefully, what a complete GEO platform actually needs to do.

Key takeaways

A complete GEO platform covers a full lifecycle: measure, understand, fix, deploy, prove ROI, and defend — not just a one-time score.
AI answers vary by engine, language, region and conversation turn, so visibility has to be tracked across all of them, not just one English prompt.
The highest-leverage shift is from a to-do list to a closed loop that drafts a fix, deploys it, and re-measures the result.
An API plus webhooks lets agencies and data teams pull GEO data into their own stacks and trigger workflows automatically.

What a complete GEO platform should do

Most AI-visibility tools answer one question: am I mentioned? That is a useful starting point, but it is only the first step. The brands that win in AI search treat visibility as an ongoing operation, much the same way they have always treated SEO. A platform that supports that operation has to span the whole lifecycle.

We group the ten new capabilities into three jobs: measure more, fix and deploy, and prove and defend. Here is how each capability maps to a real problem.

Capability	Problem it solves
Multi-engine tracking (incl. DeepSeek)	You may be cited on one engine and invisible on another.
Multi-language & region GEO	AI answers differ by country and language; an English win does not transfer.
Multi-turn conversation tracking	Buyers ask follow-ups; you can drop out of the answer mid-conversation.
GEO Sandbox	You do not know if a page edit will help before you publish it.
One-click Deploy	Schema, FAQs and llms.txt are tedious to publish and keep fresh.
Agent-Readiness	AI shopping agents may not be able to read your price, stock or product data.
Full-funnel ROI	It is hard to connect AI mentions to signups and revenue.
Brand Defense	AI can state wrong or damaging facts about you, unchecked.
Auto-fix loop	Visibility drops faster than a human can react manually.
Public API & webhooks	Your GEO data is stuck in one dashboard instead of your stack.

Measure more — every surface, every language

You cannot manage what you cannot see, and AI answers are not a single surface. The same question returns different brands depending on the engine, the language and how far into a conversation the user is.

Every engine, on one map

DeepSeek is now a tracked engine, joining ChatGPT, Claude, Perplexity, Gemini and Grok. A new Surfaces map shows everything GEOpta measures, including the live engines plus areas we are still building toward, such as Google AI Overviews, Microsoft Copilot, Amazon Rufus and India regional models. We label what is live versus on the roadmap so you are not guessing about coverage.

Languages and regions

Multi-language and region GEO matters because an AI assistant can recommend you in English and ignore you in Hindi or Tamil. The new Languages tab replays your prompts localized into markets across India, SE Asia, LATAM and MENA, then shows the gap versus your English baseline. For brands selling in multiple regions, this is often where the biggest hidden gaps sit.

Whole conversations, not single prompts

Multi-turn conversation tracking follows a realistic buyer journey. People rarely ask one question; they ask a follow-up, then another. This view shows the exact turn where your brand drops out of the answer, which is usually more actionable than a single first-prompt check. To go deeper on which signals decide these answers, see how AI engines pick brands.

Fix and deploy — not just a to-do list

A list of recommendations is only worth as much as the changes that actually ship. In practice, most GEO advice dies in a backlog because it needs an engineer, a CMS edit and a deploy. These three capabilities shorten the distance between knowing what to do and having it live, so that fewer good ideas get stuck waiting for someone with publish access.

Test changes before you publish

The GEO Sandbox lets you simulate a page before it goes live and returns a predicted citation-likelihood lift along with the specific edits behind it. Predictions are estimates, not guarantees, because live engines change continuously; treat them as a prioritization aid rather than a promise.

Publish the technical assets in one step

One-click Deploy pushes your structured data, FAQs and llms.txt live through a Cloudflare edge worker, a WordPress plugin, or a one-line snippet for any site. We host the assets so they stay current. If you want the manual playbook behind these assets, read how to optimize your website for AI.

Get ready for shopping agents

Agent-Readiness audits whether AI checkout agents can read your price, stock and product schema and carry a product through to checkout. Agentic shopping is still early, so we frame this as future-proofing: the audit is concrete today even though the buying behavior is still emerging.

Prove it — and keep it

Visibility is only worth measuring if it ties to outcomes and survives over time. The remaining capabilities connect AI mentions to revenue and protect your position once you have earned it.

Connect mentions to revenue

Full-funnel ROI traces AI referral to signup to revenue to lifetime value, broken down per engine, alongside a budget optimizer that ranks which actions return the most visibility per rupee. Attribution across AI surfaces is inherently imperfect, so we show it as a directional signal you can sanity-check against your own analytics, not a precise figure.

Correct what AI gets wrong

Brand Defense catches false or damaging claims an engine makes about you and drafts a dispute you can review and send. Being mentioned incorrectly, with wrong pricing or a confused rival, can cost as much as not being mentioned at all.

Close the loop

The auto-fix loop is the capability that turns GEOpta from a dashboard into an operating system. When your visibility drops, the GEO agent drafts a fix, you approve it, we deploy it, and the next scan measures the recovery. That makes the cycle a closed loop: diagnose, generate, deploy, measure. A human stays in the approval seat, so nothing ships without your sign-off.

Build on the data

The public API and webhooks let you pull GEO data into tools like Looker, GA4 or HubSpot, and push scan, alert and auto-fix events into Slack. Agencies can build their own reporting and automations on top. Full details are in the GEOpta API introduction, and agency-specific workflows are covered in GEO for agencies.

Also under the hood

Beyond the headline ten, this release includes Time Machine (the running history of what AI said about you), Prompt Market (anonymized AI-keyword research), an embeddable AI Visibility Badge, and Agency OS (auto-generated proposals and bulk operations). These exist to support the same lifecycle rather than add unrelated features.

One platform, the whole GEO lifecycle

The shift here is simple to state. GEOpta is no longer a point tool that tells you where you stand. It measures you across engines, languages and conversations, helps you fix and deploy the changes, ties them to revenue, and defends your position over time. If you are new to the discipline behind all of this, start with what Generative Engine Optimization is.

If you want to see your own number before exploring the rest, run a free AI Visibility Score or browse the AI Visibility Index.

Frequently asked questions

What is GEOpta?

GEOpta is a Generative Engine Optimization platform built by Dribble Software Private Limited at geopta.com. It measures how AI engines such as ChatGPT, Claude, Perplexity, Gemini, Grok and DeepSeek talk about your brand, then helps you fix, deploy, prove and defend that visibility.

What is new in the GEOpta platform launch?

The launch adds ten capabilities that span the full GEO lifecycle: multi-engine tracking including DeepSeek, multi-language and region tracking, multi-turn conversation tracking, a GEO Sandbox, one-click deploy, agent-readiness auditing, full-funnel ROI, brand defense, a closed auto-fix loop, and a public API with webhooks.

Which AI engines does GEOpta track?

GEOpta tracks ChatGPT, Claude, Perplexity, Gemini, Grok and DeepSeek as live engines. A Surfaces map also shows areas on the roadmap, such as Google AI Overviews, Microsoft Copilot, Amazon Rufus and India regional models, with live and planned coverage clearly labeled.

What does the auto-fix loop actually do?

When your AI visibility drops, the GEO agent drafts a fix, you approve it, GEOpta deploys it live, and the next scan measures the recovery. It is a closed loop of diagnose, generate, deploy and measure, with a human approval step so nothing ships automatically.

Are GEOpta's predicted lifts and ROI figures guaranteed?

No. Sandbox citation-likelihood lifts are estimates because live AI engines change continuously, and full-funnel ROI is a directional attribution signal rather than an exact measurement. Both are meant to help you prioritize and should be sanity-checked against your own analytics.

Can agencies and data teams build on GEOpta?

Yes. A public REST API lets you pull GEO data into tools like Looker, GA4 or HubSpot, and webhooks push scan, alert and auto-fix events into systems like Slack so agencies can build their own reporting and automations.