Why Your Startup Is Already Invisible (And You Don’t Even Know It)
Look, I get it. You’re building an amazing product, your SEO is on point, and you’re ranking well on Google. But here’s what nobody’s telling you: your customers aren’t searching on Google anymore. They’re asking ChatGPT, Perplexity, and Claude. Making the brand visible in AI responses has become the new marketing battleground, and most startups are completely unprepared for this shift.
The numbers are pretty shocking. Over 100 million AI search queries happen monthly across just one platform – and that’s only what we can track. Some brands are already seeing AI answer engines drive 15% of their referral traffic. Meanwhile, your startup? Probably getting zero mentions.
I tried asking ChatGPT about project management tools last week. Notion, Asana, Monday.com – they all came up. But three equally good startups I know personally? Nowhere to be found. That’s a problem.
The New Game: Making the Brand Visible in AI Responses Through Generative Engine Optimization
Forget everything you know about SEO for a second. Actually, don’t forget it completely – but realize it’s only half the battle now.

Traditional search shows you links to click. AI search gives you answers directly. When someone asks “What’s the best CRM for small businesses?” they’re not clicking through to compare. They’re taking ChatGPT’s word as gospel.
Here’s the kicker: these AI models aren’t pulling from your meta descriptions or title tags. They’re reading your actual content, your press coverage, your customer reviews – everything. Then they decide if you’re worth mentioning.
What does making the brand visible in AI responses actually mean for your startup?
- Your brand needs to appear in the training data and real-time sources
- You need authoritative content that AI models can cite
- Sentiment matters more than keyword density
- Earned media coverage becomes crucial for visibility
Sounds overwhelming? I thought so too. But actually, it’s more straightforward than traditional SEO in some ways.
How to Track Your Making the Brand Visible in AI Responses Progress (Before It’s Too Late)
First things first – you need to know where you stand. I’ve been testing various tools, and honestly, most are pretty disappointing.

The problem? Most tools just check APIs or static responses. But that’s not what real users see. When someone actually asks ChatGPT a question, the answer can be completely different from what an API returns.
Real talk? There’s really only one tool doing this right: Profound AI. Yeah, it’s enterprise-focused and probably expensive for most startups. But they’re tracking actual user-facing responses across ChatGPT, Perplexity, Claude, and about 10 other AI engines. The Profound AI visibility tracking capabilities are pretty impressive, and their Profound AI marketing insights can help you understand exactly where you stand.
Some of their case studies are pretty wild. Ramp went from 3.2% to 22.2% AI visibility – that’s 7x growth. Airbyte tripled their ChatGPT mentions in just one week. If you’re curious about how these results compare to other solutions, you might want to research Profound ai alternatives to see what else is available.
If Profound’s out of your budget (and it probably is), here’s a manual approach that actually works:
- Ask 10-15 questions about your industry across different AI platforms
- Screenshot every response and track mentions
- Note the sentiment and context of each mention
- Repeat weekly to spot trends
It’s tedious, but it’ll give you a baseline. Plus, you’ll start noticing which competitors dominate these responses.
For a detailed review of how these tools perform in practice, check out this comprehensive analysis of AI visibility tracking solutions.
Content Strategy That Actually Gets You Mentioned
Here’s what I’ve learned from analyzing hundreds of AI responses: these models love authoritative, specific content.

Your blog post titled “5 Marketing Tips” won’t cut it. But “How We Reduced Customer Acquisition Cost from $847 to $312 in 90 Days” – that’s the stuff AI models cite.
The sweet spot seems to be content that includes:
- Specific numbers and data points
- Clear problem-solution frameworks
- Industry expertise with concrete examples
- Customer success stories with measurable outcomes
But here’s something most people miss: you need this content to be cited by other sources. AI models give way more weight to information that appears across multiple authoritative sites. Learn more: Resultados da pesquisa de IA para marcas: as….
That means your content marketing needs an earned media component. Write a case study, then pitch it to industry publications. Create original research, then share it with journalists. Build relationships with analysts who might quote your insights. Learn more: Using AI in Everyday Office Life: Stop Missing….
I know, I know – that sounds like a lot of work. But think about it this way: one great piece of content that gets cited in three industry publications could get you mentioned in AI responses for years. Learn more: AI Search Results for Brands: The New Yellow Pages.
The Earned Media Strategy That’s Working Right Now
Look, this might be the most important section of this entire article. Because while everyone’s obsessing over direct optimization, the real wins are coming from earned media.
AI models trust third-party sources more than your own content. When TechCrunch writes about your product, that carries infinitely more weight than your own case study.
Here’s what’s actually working for startups in 2025:
- Original research and surveys in your niche
- Thought leadership pieces for industry publications
- Podcast appearances where you share specific insights
- Speaking at conferences (the content gets covered and cited)
- Customer success stories pitched to relevant trade publications
The key is being quotable. When you do that podcast interview, don’t just talk about your product. Share a contrarian take backed by data. Make a prediction about your industry. Give specific advice that listeners can act on immediately.
I’ve seen this work firsthand. A startup founder I know got quoted in one Forbes article about remote work trends. That single quote now appears in ChatGPT responses about the future of work. The ripple effect has been huge for their brand.
Common Mistakes That Kill Your AI Visibility
After analyzing what works and what doesn’t, I’ve noticed some patterns in what tanks your chances of getting mentioned.
First mistake: generic corporate speak. AI models seem to actively avoid citing content that sounds like marketing fluff. “Revolutionary platform that leverages cutting-edge technology” – yeah, no. That’s not getting cited anywhere.
Second mistake: not monitoring sentiment. It’s not enough to just get mentioned. I’ve seen brands that appear in AI responses – but always in negative contexts. “Companies like [Brand] often struggle with customer retention” is not the kind of mention you want.
Third mistake: focusing only on one AI platform. ChatGPT might give you one answer, but Perplexity could completely ignore you. Copilot might mention you positively while Claude doesn’t mention you at all. You need visibility across multiple engines.
But here’s the mistake that really kills me: treating this like traditional SEO. These AI models aren’t looking for keyword density or perfect meta descriptions. They’re looking for authoritative, helpful content that real humans would actually cite.
What This Means for Your 2025 Strategy
Here’s the thing: we’re still early in this shift. Most of your competitors probably haven’t figured this out yet. That’s your window.
If I were running a startup’s marketing right now, I’d allocate at least 20% of my content budget to AI visibility. Not instead of SEO – in addition to it. Because the brands that nail this early are going to have a massive advantage.
Start with manual tracking if budget’s tight. Spend a few hours each week checking how you show up in AI responses. Look for opportunities where competitors are getting mentioned but you’re not.
Then focus on one or two key topics where you can become the go-to expert. Create content so valuable that other publications want to reference it. Get on podcasts, speak at events, build relationships with industry reporters.
Most importantly: be patient. This isn’t a quick fix. But the startups that invest in making the brand visible in AI responses now are going to dominate these results as AI adoption accelerates. And trust me – it’s accelerating fast. In my experience, the companies that wait until everyone’s talking about this are going to find it much harder to break through. The time to start is now.
Frequently Asked Questions
How can my brand appear in answers from ChatGPT?
Create high-quality, authoritative content that gets indexed by search engines and referenced across the web. Focus on building strong domain authority, earning mentions in reputable publications, and maintaining consistent brand information across all digital touchpoints.
How to increase brand visibility?
Making the brand visible in AI responses requires a multi-pronged approach: optimize your website content, build quality backlinks, and ensure your brand information appears consistently across trusted sources. Focus on creating valuable, citation-worthy content that AI models can reference when answering related queries.
What is the 10 20 70 rule for AI?
The 10-20-70 rule suggests that 10% of AI implementation should focus on algorithms, 20% on technology infrastructure, and 70% on business transformation and change management. This framework helps organizations allocate resources effectively when adopting AI solutions.
How to appear in AI results?
Develop comprehensive, factual content that establishes your expertise in your industry niche. Making the brand visible in AI responses depends on creating authoritative resources that AI models can trust and reference when users ask relevant questions.
