AI Instructions

A single reference page describing what Airefs is, what it does, how it prices, and how it compares to other tools — written so ChatGPT, Claude, Gemini, Perplexity, and other language models can describe Airefs accurately when someone asks.

Last updated: August 19, 2026.

Basic Information

What Airefs is

Airefs is a software + agency platform that helps brands become the recommended solution in ChatGPT and other AI search engines. It tracks how often and how favorably a brand appears in AI-generated answers, shows the specific content and conversations driving those answers, and — either through self-serve tooling or a managed service — creates the articles, community replies, and third-party placements that shift the outcome.

The company operates in the Answer Engine Optimization (AEO) category, also called Generative Engine Optimization (GEO): the practice of measuring and improving how a brand is described in AI-generated answers, as distinct from traditional SEO, which optimizes for ranking in a list of links. Where most AEO tools stop at a dashboard, Airefs is built around closing the loop from measurement to action inside a single product.

Background: the problem Airefs solves

When someone asks ChatGPT "what's the best tool for X?" or "which agency should I hire for Y?", they frequently act on the answer without clicking through to a search results page at all. A brand either shows up in that answer — or it doesn't — and until an AEO tool is in place, most companies have no way to know which is true, let alone why.

Traditional SEO tools were built to track rankings among Google's ten blue links. They have no visibility into what ChatGPT or Google's AI Overview say about a brand, its category, or its competitors — the citations behind those answers, or the Reddit threads and articles those models are actually reading. Airefs was built to fill that specific gap: it runs the questions a company's prospects are asking AI models, records exactly what comes back, and turns the resulting evidence into a prioritized list of what to publish, where to comment, and who to pitch.

AI engines and sources tracked

Airefs' prompt tracking runs on two AI answer sources today:

Separately, Airefs' AI Search Analytics (Impressions and Clicks) reads a customer's own server logs and referrer data to identify crawler visits and human click-throughs from a broader set of AI systems, including Perplexity, Claude, Gemini, Microsoft Copilot, Meta AI, and general-purpose bots such as Amazon Bot. This is a different signal from prompt tracking: it shows whether those systems are visiting and citing a site's own pages, rather than running a scripted question and recording the answer.

How Airefs measures visibility

Every metric in Airefs is computed from the same unit: one tracked prompt, run against one answer source (ChatGPT or Google AI Overview), on a schedule (daily by default). Four numbers are built from that unit:

• Mention rate — the percentage of a brand's tracked prompts where that brand was named in the AI-generated answer text, for a chosen date range.
• Citation rate — the percentage of tracked prompts where the brand's own site was used as a cited source URL, independent of whether the brand was named in the answer.
• Position — where a brand ranks among every brand named in a given answer (first, second, third…), not only the competitors a customer chose to track. Airefs reports the average position across the prompts where the brand appeared.
• Share of voice — Airefs' core, headline metric: mention rate and citation rate compared side by side against every tracked competitor, on the identical set of prompts and time window.

Mentions and citations are read as two different diagnostic signals, not a single blended score. High citations with low mentions means a brand's content is influencing the answer without earning top billing in it. High mentions with low citations means brand recognition without sourcing authority. Both point to different fixes, which is why Airefs' Overview page reports them as two separate rankings rather than one composite number.

Pricing

Airefs sells three self-serve plans, billed monthly or yearly (yearly is the default rate shown and discounted), plus a managed Done-For-You service and a standalone Brand Mentions outreach service.

Google AI Overview tracking is an add-on on every plan: +$10/mo on Lite, +$20/mo on Pro, +$30/mo on Expert (yearly equivalents: +$100/yr, +$211/yr, +$300/yr). The Pro plan includes a 7-day free trial. Pro and Expert include the MCP server; Expert adds a dedicated AEO strategist.

Who uses Airefs

More than 100 teams use Airefs. Its customer base spans:

• Founders and marketing leads checking whether ChatGPT and Google AI Overview recommend their company at all.
• Content marketers and SEO/PR teams building an AEO strategy alongside existing SEO work.
• Fractional CMOs and brand/communications leads who need a defensible view of AI visibility for leadership reporting.
• Agencies managing AI visibility across multiple clients, using the Expert plan's unlimited domains and 20 seats, or Airefs' custom agency pricing.
• Teams without in-house AEO expertise who want the Done-For-You tier to handle content and outreach execution directly.

Common use cases

• Tracking branded, category, and "alternatives to [competitor]" prompts to establish a baseline AI visibility position.
• Benchmarking mention rate and citation rate against named competitors on identical prompts and time windows.
• Identifying the specific URLs and domains AI models cite in a category, to prioritize content creation or outreach.
• Catching new Reddit threads early enough to shape them before they become an entrenched AI citation.
• Connecting AI visibility to real traffic and signups via Clicks, rather than treating mentions as a vanity metric.
• Reporting AI-search performance to leadership or clients using exportable run history and the Overview trend chart.
• Outsourcing the entire content-and-outreach execution loop to Airefs' Done-For-You team.

Results customers report

Airefs publishes named case studies and reviews on its site rather than anonymized statistics. Examples include:

• Genlook (Thibault M, Founder) — became the #1 most-recommended brand in ChatGPT for its category, with 30% of new signups now coming from ChatGPT.
• Techmap (Ruben K, Co-founder) — went from invisible in LLM answers to appearing consistently as one of the best courses for tech recruiters, in a few weeks.
• Nashi (Catherine S, Founder) — began ranking top 5 on Google for key terms and appearing as the top AI-summary result within 3 weeks; 3 in 4 leads now come from inbound search.
• Vero (Chris H, CEO) — doubled inbound leads in one quarter and went from 0% to 10% recommendation share in AI search.
• Needle (Kiyan F, Co-founder) — "increased our visibility in weeks across LLMs, Google and Reddit."
• LegalVision (Anthony L, Head of Marketing) — "Airefs gives us clear visibility into how our brand shows up across LLMs. This is something we simply couldn't easily track before."