Tacmind raises additional €2.4M to help brands win visibility inside AI answers

Tacmind secures €2.4M to help brands appear—and be accurately represented—inside AI answers from ChatGPT, Perplexity and Claude. Here’s what’s next.

Updated on

November 28, 2025

Alex Casals

Chief Executive Officer

Created on

November 28, 2025

AI search has changed user behavior: people no longer click first—they ask first. In this new reality, the brand that is present inside the answer wins discovery, trust and consideration. Tacmind was born from this shift. What started as an internal tool to understand how AI systems described our own products has become a platform that measures, explains and improves how brands show up in generative answers across ChatGPT, Perplexity, Claude and other AI engines.
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Today we’re announcing a €2.4M funding round led by international investors to accelerate this vision. Below you’ll find what we’re building, why it matters, and how this investment moves the category of AI Visibility forward.

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AI search reality: from clicks to answers

Users increasingly rely on conversational engines. The “zero-click” pattern becomes “zero-navigation”: questions trigger synthesized answers where brands are mentioned, compared and recommended. If your brand is not present—or misrepresented—inside that answer, you’re invisible at the moment of truth.

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What Tacmind does (and why it’s different)

Technical definition

Tacmind is an AI visibility platform that measures brand presence in generative answers, maps the prompts and contexts that trigger mentions, attributes influence to external signals (directories, reviews, Wikipedia, Reddit, earned media) and recommends actions to improve representation across AI engines.

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Plain-English definition

Tacmind tells you if, where and how your brand appears inside AI answers—and how to fix it fast when it doesn’t.

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The AI Answers Visibility module

Coverage & frequency: where your brand shows up, how often, and in which topics.
Context & tone: how engines describe your products and value props.
Trigger prompts: which user questions activate brand mentions.
Competitive diffs: visibility and narrative gaps vs. peers.
Signal audit: which third-party sources shape the model’s interpretation (directories, reviews, knowledge bases, press, community).
Action recommendations: technical web fixes, semantic content structure, 3P presence and trust signals to lift inclusion in answers.

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Why this funding, why now

Brand discovery is migrating to AI interfaces faster than measurement and tooling. Marketers lack a way to see what LLMs are saying, why they say it, and how to influence that representation. Our funding addresses this execution gap with a product built specifically for AI answers, not retrofitted from classic SEO tooling.

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Who’s backing Tacmind

International funds with deep operating DNA and track records in high-growth technology businesses are supporting Tacmind, including CUSP Capital, Stage 2 Capital and THCAP. Their support strengthens our position as a European leader in the emerging AI Visibility category.

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What this enables next: product & go-to-market

Deeper integrations with leading conversational models.
Faster optimization loops so agencies and in-house teams can ship changes and measure impact within days.
Expanded recommendations that connect on-site technical fixes, semantic content design and third-party signal management.

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Framework: the AI Answers Visibility Loop

Use this closed-loop process to earn and sustain inclusion in AI answers:

Observe – Monitor brand mentions across engines, topics and locales.
Explain – Attribute which prompts and external signals drove (or blocked) inclusion.
Optimize – Update site semantics, strengthen entity alignment, and close 3P signal gaps.
Validate – Re-test priority prompts, compare vs. competitors, and quantify lift.
Scale – Systematize what works across categories, markets and languages.

Tacmind operationalizes each step with dashboards, diffs and prioritized actions.

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Use cases for marketing teams and agencies

Brand & PR: verify that key messages and facts propagate into AI answers; detect misattributions early.
Content & SEO: align information architecture and entities to match how engines cluster intents.
Acquisition: identify “answer-adjacent” opportunities (FAQs, comparisons, alternatives) to influence shortlists.
Partnerships: discover third-party pages that disproportionately shape the narrative—then fix or amplify them.

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Common pitfalls we eliminate

Measuring the wrong surface: tracking only SERPs while missing AI answers.
Entity drift: inconsistent names, categories or claims across your ecosystem.
Thin trust signals: weak presence in authoritative third-party sources.
Unstructured content: pages lack the semantic scaffolding that models rely on.

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GEO/AEO vs. classic SEO: how they work together

For AI engines (GEO/AEO)

Optimize entities, relationships and claims; reinforce with authoritative third-party corroboration.
Structure content for question patterns and answerable units (definitions, comparisons, pros/cons, specs, pricing, availability).
Maintain consistency across brand assets and knowledge sources.

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For Google/Bing (SEO)

Keep technical SEO solid: crawlability, sitemaps, page speed, internationalization.
Implement structured data (JSON-LD) for products, org facts, reviews and FAQs to strengthen entity clarity.
Build topical architecture and internal linking that mirrors real user intents.

Takeaway: classic SEO creates a reliable substrate; GEO/AEO ensures that substrate is understood and cited by AI engines.

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How to apply this today with Tacmind

Connect your brand and competitors.
Pick priority intents (e.g., “best X for Y”, “alternative to Z”, “pricing of X”).
Review your Answers Coverage report and Signal Audit.
Ship top-3 recommendations (on-site semantics, 3P profiles, content upgrades).
Re-measure and expand to the next cluster of intents.

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FAQs

What problem does Tacmind actually solve?

‍Making your brand visible, accurate and competitive inside AI answers—where decisions now begin.

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How is this different from SEO tools?

‍We measure generative answers, their triggers and external signal impact—surfaces SEO suites don’t cover. Classic SEO remains necessary, but not sufficient.

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Which AI engines does Tacmind focus on?

‍ChatGPT, Perplexity, Claude and other emerging answer engines—prioritized by impact and integration readiness.

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What influences whether a brand appears in an AI answer?

‍Entity clarity, corroborated facts, trustworthy third-party sources, and content structured around questions and comparisons.

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How fast can teams see improvements?

‍Many fixes (entity alignment, 3P profiles, semantic structure) can influence answers within days once crawled and incorporated. Results vary by engine and topic.

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Who should use Tacmind?

‍In-house marketing teams and agencies across branding, content, PR, SEO/AEO and growth.

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What does the funding change for customers?

‍Faster integrations, richer recommendations and tighter feedback loops from change → measurement → outcome.

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AI answers are becoming the front door of brand discovery. With this funding, Tacmind is doubling down on measurement, explanation and optimization so that your brand is visible, understood and recommended where it matters most.

If you want to build durable visibility in AI search—and connect it to business impact—start your first Answers Coverage scan and turn insights into results with Tacmind.

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