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AI Visibility: Why Your SaaS Doesn’t Show Up Where It Matters Anymore

Author

Chintankumar Maisuria
November 10, 2025

In partnership with

Read time: 3 minutes.

Welcome to the 172nd edition of The Growth Elements Newsletter. Every Monday and sometimes on Thursday, I write an essay on growth metrics & experiments and business case studies.

Today’s piece is for 8,000+ founders, operators, and leaders from businesses such as Shopify, Google, Hubspot, Zoho, Freshworks, Servcorp, Zomato, Postman, Razorpay and Zoom.

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This is called “Quiet Discovery Shift”

Five years ago, founders fought for page one on Google. In 2025, they’re fighting for mention one in AI mode by Gemini, ChatGPT, Perplexity or Claude.

The data points are impossible to ignore:

  • AI search platforms now influence more than 50% of SaaS purchasing research across B2B segments.

  • Companies appearing in LLM outputs generate 3-5x more qualified inbound than those focusing purely on SEO.​

  • Traditional “content marketing” isn’t dying, it’s just becoming invisible to buyers using generative platforms to summarize the web.

That means every founder who built their GTM around search traffic or paid campaigns is now competing with algorithms that cite authority.

How We Got Here

SaaS growth playbooks from 2020-2023 optimised for volume.

Founders hired agencies, published “10x blog posts,” and chased newsletter backlinks.
But AI doesn’t care about backlinks, it cares about relevance, data clarity, and credibility.

LLMs pull answers from trusted, structured, and semantically consistent sources.
If your SaaS isn’t represented in those datasets, you simply don’t exist in the new funnel.

AI Visibility = Brand Authority × Structured Data

You don’t win AI visibility with keywords; you win it with clarity.

From an operator’s lens, here’s the new visibility framework:

  1. Structured clarity: Publish clear, data-backed content, think API examples, schemas, and real benchmarks.

  2. Public credibility: LLMs amplify social proof from press, GitHub, and G2 reviews, not self-promotional blogs.

  3. Semantic consistency: Ensure every online profile (LinkedIn, website, documentation) tells the same story about what your product actually does.

Consistency isn’t branding fluff anymore, it’s how algorithms decide if you show up.

Playbook to Rank in the AI Era

Phase 1: Audit your discoverability

  • Ask ChatGPT and Perplexity to describe your product, what do they say?

  • Map where you’re being cited and by whom.

  • Identify which of your pages appear in AI datasets (tools like Perplexity Pages can help).

Phase 2: Build authority ecosystems

  • Submit structured explanations of your product to dev forums and public APIs.

  • Partner with ecosystems like Zapier or Notion for digital “endorsements.”

  • Encourage reviews and press with data-driven storytelling, not ads.

Phase 3: Optimise for AI search

  • Build long-form knowledge data (FAQs, wikis, documentation) that LLMs trust.

  • Use JSON-LD, sitemaps, and semantic tags, AI reads structure.

  • Open-source 1–2 assets to embed your brand inside AI datasets.

Bottom Line

SEO still matters, but only as one layer in your discoverability stack.

AI visibility is the new growth channel. It rewards truth, data, and clarity over keyword stuffing.

If you’re not building content for machines and for people, your SaaS will disappear from buyer consideration sets before the conversation even begins.

Don’t chase clicks. Train algorithms to trust you. That’s the new moat.

That's it for today's article! I hope you found this essay insightful.

Wishing you a productive week ahead!

I always appreciate you reading.

Thanks,
Chintankumar Maisuria