Anvil: The SEO Platform Built for AI Search Engines

In the age of large language models (LLMs) like ChatGPT, Gemini, and Claude, the way people discover brands has fundamentally changed. Traditional SEO tools and strategies—designed for search engines like Google—are rapidly losing relevance as users turn to AI-powered assistants for answers, recommendations, and decisions.

For most companies, this evolution brings an alarming blind spot. They don’t know how often their brand is mentioned in AI-generated content. They have no visibility into which queries they rank for, and worse—who’s beating them. In effect, they’re invisible at the very moment customers are looking for them.

This lack of insight leads to:

Missed opportunities in high-intent queries
Inaccurate or absent brand mentions
A growing gap between them and their better-optimized competitors

Anvil was created to fix that visibility void and give companies the tools they need to compete—and win—in the era of AI search.

How Does Anvil Work?

Anvil positions itself as a hybrid of Ahrefs and Google Search Console—but tailored for LLMs. It’s not just an analytics dashboard. It’s a comprehensive suite for brand visibility inside generative AI platforms.

Here’s what Anvil enables:

Query Monitoring: Brands can track how often their name appears in response to relevant prompts or user questions. Anvil parses thousands of AI-generated answers across ChatGPT, Gemini, Claude, and more.
Competitor Benchmarking: Users can see who’s being recommended in their place and what content strategies those competitors are using to dominate LLM recommendations.
Optimization Tools: Based on its insights, Anvil recommends specific changes to metadata, content structure, or phrasing to better align with LLM behavior.

In short, it doesn’t just tell you that you’re not being found—it tells you why and how to fix it.

Why Is SEO for LLMs Different from Traditional SEO?

SEO has always been about visibility. But the rules of that visibility have changed. On traditional search engines, ranking is determined by algorithms tied to backlinks, keywords, and content freshness. With LLMs, the ecosystem is more opaque and far more complex.

Instead of a single page of search results, users now get synthesized answers. Brands aren't competing for clicks anymore; they're competing for mentions. And while content quality still matters, so does how well your data is structured for LLM comprehension.

Anvil addresses these shifts by focusing on:

Answer inclusion, not just keyword ranking
Semantic alignment with popular AI prompts
Structured data that LLMs can understand and trust
Real-time LLM output tracking, unlike traditional web crawlers

By adapting to this new paradigm, Anvil helps brands remain relevant—and discoverable—even as the rules of search evolve.

Who’s Behind Anvil?

Anvil was co-founded in 2024 by Daniel Siryakov and Barak Ben Noon, two technologists with a track record in AI, SEO, and product development.

Daniel, Anvil’s CEO, is a former AI product manager and machine learning engineer with experience building systematic investment strategies. His technical insight into model behavior and data analysis directly shaped Anvil’s architecture.

Barak brings a mix of creativity and technical depth, humorously claiming that his proudest achievement is the Google Docs “Code Blocks” feature. But behind the quip is a strong product intuition and a passion for simplifying complex problems.

Together, their goal is to build a platform that demystifies AI visibility and gives growth teams real tools, not just buzzwords.

How Does Anvil Help Brands Grow?

The core value of Anvil lies in making AI search transparent and actionable. Brands using Anvil can:

See exactly what users are asking when their brand should be the answer
Identify which questions they’re winning, and which ones they’re missing entirely
Uncover which competitors are being recommended in their place
Gain insight into what content, tone, or format resonates with LLMs
Receive actionable recommendations to improve LLM rankings, down to specific phrases, metadata tags, or content sections

This isn't guesswork. It's growth through precision.

Whether you’re a SaaS company, a DTC brand, or a local service provider, Anvil lets you proactively shape how AI talks about you, rather than leaving it to chance.

What Makes Anvil Unique?

Several features differentiate Anvil from legacy SEO platforms:

LLM-Centric Architecture
Anvil is built specifically for AI platforms, not retrofitted from traditional SEO tools. Its data ingestion, analysis engine, and visualization methods are all designed to interpret generative AI output.
Multimodel Coverage
It works across multiple LLMs—not just ChatGPT. That includes Google’s Gemini, Anthropic’s Claude, and others as they emerge.
Actionability
It doesn’t stop at analytics. Anvil tells you what to do next—whether that’s updating content on your site, adjusting structured data, or targeting specific query themes.
Competitor Intelligence
Anvil reveals not just how your brand performs, but why your competitors are outperforming you—and how to close that gap.
Growth-Focused UX
Built by a team fluent in product-led growth, Anvil is intuitive for marketers, SEO specialists, and product teams alike.

Who Should Use Anvil?

Anvil is designed for any business that relies on discoverability to acquire customers, but it’s especially relevant for:

Startups looking to get discovered faster without relying solely on Google
Enterprise brands needing to manage and monitor their reputation in the AI space
SEO teams ready to adapt to the future of search
Marketing leads who want measurable ROI from content initiatives
Agencies offering future-proof SEO services to their clients

If your audience is asking ChatGPT or Claude for product recommendations, you need to be the answer. Anvil makes that possible.

What’s Next for Anvil?

As more users turn to AI assistants instead of typing into Google, the demand for AI-native SEO will only grow. Anvil’s roadmap reflects this future. The team is planning:

Deeper integrations with LLM APIs
Custom prompt testing environments
Content scoring and LLM-readability grading
Team collaboration tools for content optimization workflows

Anvil is not just reacting to the rise of AI—it’s building for it.

Why Should Brands Care About LLM Visibility Now?

LLMs are not a passing trend—they’re reshaping consumer behavior. Just as companies once had to pivot to mobile or embrace social media, the next major shift is optimizing for AI-powered discovery.

With Anvil, brands don’t have to guess how they’re performing in this new environment. They get data. They get clarity. And they get results.

In a world where users ask AI before they ask Google, Anvil ensures that your brand is part of the conversation—and more importantly, the answer.