We're Building the First AI Visibility Intelligence Layer

It started with a simple observation: the search bar is changing.

For decades, we played the SEO game: keywords, backlinks, and fighting for page one. But as we watched the rise of Large Language Models—ChatGPT, Claude, Gemini, and Perplexity—we realized that "Search" was being replaced by "Answer Engines." We saw businesses that dominated Google suddenly become invisible in AI conversations because they lacked the technical "handshake" these models require.

Bidigest was born to bridge this gap. We realized that AI visibility isn't a one-time setup; it's a living, breathing cycle. To help businesses be "cited and recommended," we built a system that doesn't just guess, but actually measures and adapts through our Seeding Process Loop:

1. Tracking: We start by capturing how AI models currently perceive a business using custom, industry-specific query sets.
2. Diagnostics: We perform deep-dives into sitemaps and technical SEO to find where the "entity clarity" is breaking down (e.g., missing LocalBusiness schema).
3. Gap Identification: We identify exactly where the "invisible" spots are—whether it's a lack of structured data, missing citations, or content that AI can't easily parse.
4. Asset Creation: Our system generates the missing "handshakes"—from JSON-LD schema snippets to answer-optimized content reviewed by three different LLMs to ensure zero bias.
5. Seeding: We automate the placement of these assets, injecting them into the retrieval path so AI models can find, verify, and trust the business.
6. Tracking (The Loop Closes): We measure the impact. Did the citation rate go up? Is the business now in the "Top 3" recommendations? Those results feed directly back into Step 1 to start the next cycle of improvement.

We didn't just want to build another SEO tool. We built the engine that makes businesses "AI-Ready." By turning technical diagnostics into a virtuous cycle, we ensure that when a user asks an AI for a recommendation, your business isn't just a name on a list—it's the answer they trust.