Frequently asked questions

AI visibility refers to whether your brand appears in responses from AI assistants like ChatGPT, Claude, Perplexity, and Gemini when users ask for recommendations in your category. When someone asks "What's the best CRM for small businesses?" or "Recommend a project management tool," AI models give direct answers based on what they learned during training.

This matters because AI search is becoming a primary discovery channel. Users increasingly trust AI recommendations over traditional search results. If your brand isn't part of AI knowledge, you're invisible to this growing segment of potential customers.

AI models learn about brands by processing vast amounts of web content during training. When your brand is mentioned on authoritative websites in relevant contexts, the AI learns to associate your brand with those topics. The more quality mentions your brand has across trusted sources, the more likely AI models will include you in their recommendations.

This is different from traditional SEO. It's not about links or ranking positions - it's about being mentioned in the right content contexts so AI learns what your brand does and when to recommend it.

Traditional SEO optimizes for Google ranking positions - getting your website to appear higher in search results. AI visibility is about whether your brand is part of AI knowledge and recommendations.

Key differences: SEO focuses on backlinks, AI visibility focuses on mentions. SEO optimizes your website, AI visibility builds your brand's presence across the web. SEO drives clicks to your site, AI visibility gets your brand recommended directly by AI assistants.

Both matter, but they require different strategies. Companies that focus only on traditional SEO may find themselves invisible in AI search.

The major AI assistants that matter for brand recommendations include ChatGPT (OpenAI), Claude (Anthropic), Perplexity, Google Gemini, Microsoft Copilot, and Meta AI. Each has significant user bases and different strengths.

ChatGPT and Claude are general-purpose assistants heavily used for product recommendations. Perplexity specializes in search with citations. Gemini and Copilot are integrated into Google and Microsoft ecosystems respectively. A comprehensive visibility strategy considers all major platforms.

A brand mention is when your company or product name appears in editorial content on a third-party website. Unlike advertisements or sponsored content, brand mentions appear naturally within articles as references, recommendations, or examples.

For example, if a technology publication writes "Tools like Slack, Notion, and [Your Brand] have transformed workplace communication," that's a brand mention. These mentions teach AI models that your brand belongs in discussions about workplace communication tools.

We maintain relationships with a network of authoritative publications across technology, business, and industry verticals. When content opportunities arise that align with our clients' categories, we work with editorial teams to include relevant brand mentions.

This isn't paid advertising - it's editorial integration. Mentions appear in genuine content that provides value to readers. Our job is matching brands with appropriate content opportunities and ensuring accurate representation.

Some mentions include links, others don't. This depends on the publication's editorial policy and the content context. We can optimize for linked mentions when SEO value is a priority.

However, for AI visibility specifically, the mention itself matters more than the link. AI models learn from reading content, not from following links. An unlinked mention on a high-authority site can be more valuable for AI visibility than a linked mention on a lower-quality site.

Our network includes technology news sites, software review platforms, business publications, industry-specific media, developer resources, and professional content sites. We select publications based on domain authority, editorial quality, audience relevance, and evidence of inclusion in AI training data.

For each client, we match publications to their specific industry and target audience. A fintech company would appear on different publications than a developer tools company, even though both might benefit from technology media presence.

The process has four phases: Discovery & Strategy (analyzing your brand, category, and competitors), Network Matching (identifying appropriate publications), Content Integration (securing and placing mentions), and Monitoring & Reporting (tracking placements and AI visibility).

Campaigns typically begin showing placements within 3-4 weeks. AI visibility impact develops over time as models update with new training data. We provide regular reporting on both placement activity and observed AI responses.

You'll see placement results (mentions appearing on publications) within the first month. AI visibility results take longer because they depend on when AI models update their training data, which happens on different schedules for different platforms.

Most clients begin seeing AI visibility improvements within 3-6 months. This isn't a quick fix - it's building sustainable presence. The mentions placed today become permanent assets that continue generating value as AI models evolve.

During onboarding, we establish brand guidelines covering approved messaging, positioning statements, product descriptions, and any content requirements. All mentions align with these guidelines.

For enterprise clients, we can implement approval workflows where you review mention context before publication. Our goal is accurate representation - we won't make claims that aren't true or position your brand in ways that conflict with your messaging.

We track both inputs and outputs. Input metrics include mention volume, publication quality scores, and content relevance alignment. Output metrics focus on AI visibility - how frequently your brand appears in AI responses to relevant queries.

We regularly test AI models with category-relevant queries and track whether your brand is mentioned. This provides directional data on AI visibility trends, though we're transparent that AI model behavior isn't fully predictable or controllable.

Our Growth plan starts at $3,500/month for startups building initial presence. The Scale plan at $7,500/month suits companies accelerating growth with premium publication access. Enterprise plans are custom-priced based on portfolio scope and requirements.

All plans include strategy, placements, reporting, and account management. There are no hidden fees. The investment level should align with your growth stage and competitive landscape.

ROI depends on your category and how you value AI visibility. Clients who track "found via AI recommendation" as an attribution source report meaningful pipeline contribution from AI visibility campaigns.

The value compounds over time. Each mention is a permanent asset. As more users turn to AI for product discovery, the value of AI visibility increases. Early movers in this space are building advantages that will be difficult for late entrants to match.

Minimum commitments range from 3 months (Growth) to 6 months (Scale) to annual (Enterprise). This reflects the time needed to build sustainable AI visibility - short bursts of activity don't create lasting impact.

After the minimum commitment, engagements continue month-to-month. You can cancel with 30 days notice. Most clients continue because they see the value compounding over time.

We specialize in B2B technology companies including SaaS, fintech, healthtech, developer tools, and enterprise software. Our network and expertise are optimized for these sectors.

Ideal clients have established products with clear positioning, are typically Series A or beyond, and compete in categories where users ask AI for recommendations. We're selective about fit because our approach works best for companies with these characteristics.

Brand mentions are right for you if: users in your category ask AI for product recommendations, you have clear product positioning and value proposition, competitors are building AI visibility (or you want to move before they do), and you can sustain a multi-month investment.

The best way to assess fit is through a conversation. We'll ask about your market, goals, and current AI presence, and give you honest feedback on whether brand mentions make sense for your situation.

For an initial conversation, we need your company website, a sense of your product category and main competitors, and your visibility goals. This lets us assess fit and provide relevant recommendations.

Once engaged, we'll gather brand guidelines, approved messaging, target personas, and competitive intelligence to develop your strategy. The discovery phase typically involves 2-3 conversations plus document review.

Start a conversation through our contact form. Tell us about your company, category, and goals. We'll review your information and respond within one business day with thoughts on how we can help.

No pressure, no aggressive sales follow-up. We believe in fit, and the initial conversation helps both sides determine if there's alignment.