Your buyers ask ChatGPT, Claude and Google AI for tools like yours - and AI coding assistants build the integration with whoever the model names. We make sure that is you: the recommended, correctly-described option, not a competitor.
AEO is optimizing your presence for AI answer engines and language models. While SEO aims for rankings, AEO aims for your company to be named, cited and correctly described directly in AI answers - and for AI coding assistants to reach for your SDK, not a competitor. We have run this at enterprise scale from day one and combine it with SEO and Google Ads.
Developers and technical buyers increasingly start in ChatGPT, Claude and AI coding assistants instead of Google. If the model does not know you, or describes you wrong, you lose the deal before a human ever compares options.
These are the problems we see at software companies that are invisible - or wrongly described - in AI answers.
When a developer or technical buyer asks ChatGPT or Claude for a tool in your category, a competitor gets named and you never make the shortlist - before a human ever reaches your site.
A developer types 'add X' in Cursor, Copilot or Claude Code, and the assistant builds the integration with whatever provider it knows - usually not yours. The deal is lost at the code level, before any conscious buying decision.
Models trained on old data repeat your old positioning, wrong pricing or missing features, and sometimes invent limits that do not exist - exactly when a buyer is evaluating you.
No dashboard shows 'deal lost because ChatGPT recommended a competitor'. It happens at the top of the funnel, with no referrer and no trace in your analytics. That is why most teams do not know it is happening.
How we make your product the one AI answer engines and coding assistants name, describe correctly and recommend.
AEO is holistic, not just website tweaks. We build a multi-channel strategy that makes you visible everywhere AI systems assemble their answers - your site, your docs, and the third-party sources they trust.
When a buyer asks ChatGPT or Claude for a tool in your category, you should be the recommendation. We build your presence on the exact sources these models pull from.
Claude Code, Cursor, Copilot and Codex build integrations with the provider the model knows. We work to make that default your SDK or API, not a competitor - the deal is won or lost at the code level.
Google AI Overviews and Gemini answer above the classic results. We optimize your content so Google cites you as a source in its AI-generated answers.
Structured data is the language AI systems read. We implement clean JSON-LD so models parse who you are, what you do and how you compare - correctly, not from stale training data.
What you do not measure, you cannot improve. We track where and how you are named across ChatGPT, Claude and Google AI, with monthly trend reports.
AI models trust sources that already rank. We build your presence across the whole results page, so the signals that feed AI answers point to you.
AI systems can only cite what they can crawl. We make sure GPTBot, ClaudeBot and Google-Extended are allowed in your robots.txt and publish an llms.txt that points them to the pages you most want quoted.
AI answers pull from Reddit, Stack Overflow, YouTube and review sites, not just your own site. We build accurate mentions where the models look, so you show up across the sources they trust.
We run the real prompts your buyers use across ChatGPT, Claude and Google AI, and show where you are named, where a competitor wins, and what to fix first. Free.
We follow a structured process to systematically build your presence in LLMs.
Precise analysis of where your company is visible in AI tools, which content is cited, and where gaps exist. We develop a clear baseline and prioritized measures.
Development and implementation of concrete optimization strategy. We define which content to optimize, implement schema markup, and perform technical improvements.
Systematic monitoring with monthly LLM visibility reports. We measure your presence in AI tools, analyze changes, and optimize iteratively.
AEO is new and hard to measure. We are among the few who work on it systematically and data-driven for technical products - and who can tie it to pipeline.
We have been building AEO strategies since ChatGPT's launch - while running Director-level AEO and Developer Marketing at enterprise companies day-to-day. Not advisors watching from the sideline, but operators who have driven ~495K monthly organic visitors and an exit where marketing was the central value driver.
AI visibility does not work in isolation. Combined with SEO and Google Ads, it is fed and reinforced by organic rankings and paid campaigns - one team, one strategy, every channel pulling the same direction.
We offer success-based billing models because we bet on our own results. Customer Journey Interviews ensure we understand how your actual buyers research in AI tools - so every optimization targets real behavior, not assumptions.
Systematic prompt testing, baseline measurements, and monthly tracking. You see exactly how your AI visibility develops - with the same transparency we bring to all Leadanic services.
Answers to the most important questions about AI Visibility - LLM Visibility & AEO.
AEO is optimizing your online presence so AI systems like ChatGPT, Claude, and Google AI Overviews cite and recommend your company in their answers. While SEO targets rankings in search results, AEO aims to appear directly in AI-generated answers.
No, AEO complements SEO. Many AEO measures like structured data and high-quality content strengthen your SEO too. But AEO additionally addresses specific language model requirements, like how content is structured, linked, and made citable as a source.
We systematically test relevant prompts in ChatGPT, Claude, and Google AI Overviews and track whether and how your company is mentioned. We create a baseline and measure development monthly. Additionally, we analyze traffic from AI sources in your analytics data.
We often see first improvements after 4 - 8 weeks, especially with technical optimizations like schema markup. Full effect of content optimizations unfolds after 2 - 4 months as LLMs periodically update their training data.
Technical B2B and software companies - dev tools, SDKs, APIs and deep-tech SaaS - benefit most, because their buyers research in AI and their integrations are often chosen inside AI coding assistants. If a developer asks ChatGPT which library to use for X, you want to be the answer.
In principle yes, but AEO requires technical expertise (schema markup, structured data), systematic monitoring (regular prompt testing), and strategic content optimization. Most companies underestimate the effort and complexity, especially in monitoring and iterative optimization.
Yes. We offer success-based billing models where part of our fee is tied to measurable AI visibility improvements. We only win when you win. Details depend on your setup and goals - we discuss the best model in the initial consultation.
AI tools pull their answers from sources that rank well and carry authority. SEO builds that organic foundation, AI Visibility optimizes how AI systems interpret and cite your content, and Google Ads captures demand for competitive terms. One team, one strategy - every channel reinforces the others.
AEO content is more focused on direct answers: clear definitions, structured information, FAQ formats, and citable statements. While SEO content is often optimized for dwell time and click rate, AEO content must be structured so LLMs recognize it as an authoritative source and cite it.
We analyze where you stand in AI answers today and develop a concrete AEO plan for your product. The consultation is free and non-binding.
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