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aater.ai · Frequently Asked Questions

How the observatory works.

Common questions about aater.ai, its structural-gate methodology, Pulse telemetry, and AI content classification.

About aater.ai
What is aater.ai?
aater.ai is an observability layer for understanding how publicly accessible content may be processed, extracted, and classified by AI systems. It derives structural gate results from observable signals including accessibility, extraction depth, rendering behaviour, attribution signals, and telemetry patterns. aater.ai does not optimise content for rankings or guarantee visibility in external systems.
What does aater.ai measure?
aater.ai measures whether publicly accessible content may be reachable by automated systems, may be structurally extractable, may support attribution and citation, may resolve into stable structural gate results, and may expose structural rendering gaps or observable AI-agent interaction patterns. The system derives classifications from observable technical and structural signals.
Is aater.ai an SEO tool?
No. aater.ai does not focus on search rankings, keyword optimisation, backlink analysis, or traditional SEO workflows. The system observes structural participation signals associated with AI retrieval, extraction, attribution, and automated content processing. These are different systems with different requirements.
How is aater.ai different from AEO (AI Engine Optimisation)?
aater.ai does not position itself as an AI optimisation platform. The system is designed around observability, structural derivation, telemetry, and participation-state analysis. Rather than attempting to manipulate external AI systems, aater.ai focuses on understanding observable structural conditions associated with automated processing.
Why does the language on aater.ai sound different from most SaaS platforms?
Because the platform is designed around observability infrastructure rather than marketing optimisation. The system attempts to describe structural conditions, derivations, and telemetry behaviour precisely without implying guaranteed outcomes. This matters legally and operationally as the product positions toward infrastructure rather than tooling.
Why does observability matter?
Automated systems increasingly interact with public web infrastructure independently of traditional search workflows. In many cases, classification, extraction, and attribution processes occur without direct visibility from site operators. aater.ai exists to make portions of those observable structural conditions more legible.
Structural gates
What are the three structural gates?
Reachability: can automated systems access your content at all (HTTP response, robots.txt for retrieval fetchers, completeness). Legibility: can they extract meaningful structure (headings, entities, claim surface). Content Type: is the page informational (guide/reference) or commercial (product/pricing), read from declared schema, URL, and structure. A structural classification, not a guarantee of citation. These are checkable structural facts, the free baseline.
Why don’t you give a single visibility state or score?
Because the gates are three separate facts, each checkable and each independent — that is the design. A single score would imply a weighting we do not apply. We report the three gates as they are, and via Pulse, what AI agents actually do on your site. Structure tells you what AI can reach and read; whether it cites you is observed separately.
Can the gates change?
Yes. The gates are not permanent. Changes to rendering architecture, robots policies, or page content type may change future results. aater observes structural drift over time.
Are the gates a ranking or a score?
No. Each gate is a deterministic pass/fail (or descriptor) — the same domain and signals produce the same result every time. There is no weighted formula, and we explicitly do not collapse the gates into a single score.
Classification System
How does aater.ai classify a website?
aater.ai fetches the publicly accessible HTML, robots.txt, and HTTP headers of a domain. It evaluates three gates in sequence. Gate 1 (Reachability): DNS resolution, HTTP response, robots.txt policy per AI agent, content completeness. Gate 2 (Legibility): heading structure, named entity density, extractable claim surface. Gate 3 (Content Type): informational or commercial — read from declared schema (JSON-LD, og:type), then URL patterns and page structure. Failure at the first two gates terminates evaluation and resolves the structural baseline immediately.
What is being classified?
aater.ai derives classifications from publicly accessible technical and structural signals. These may include server-delivered HTML, rendering accessibility, crawl policies, attribution signals, semantic structure, extraction consistency, and telemetry observations. Classifications are generated automatically.
Does aater.ai use live crawling?
aater.ai may perform automated structural analysis against publicly accessible content. The platform is designed around observational derivation rather than content replication or archival storage.
Does human judgement enter the classification?
No. Classification is deterministic. No human judgement enters the derivation. The same domain evaluated twice under the same PSS version produces the same structural baseline.
Does aater.ai store a copy of website content?
No. aater.ai stores a structural classification of each site, not a copy of its content. The text sample shown on classification reports is stored temporarily and used only to generate the report. aater.ai does not index, cache, or republish website content.
Does aater.ai expose its derivation models publicly?
No. aater.ai publishes high-level methodology and observable principles, but internal derivation systems, telemetry models, verification mechanisms, and classification logic are not fully disclosed. This helps preserve system integrity and reduces adversarial manipulation.
Does aater.ai guarantee AI visibility or citations?
No. External AI systems operate independently and continuously evolve. aater.ai does not guarantee indexing, retrieval, citation, attribution, inclusion in AI responses, ranking behaviour, or traffic outcomes. The platform provides observational and structural analysis only.
Is aater.ai monitoring the entire web?
No. aater.ai derives observations from participating domains, submitted domains, observable public infrastructure, and telemetry systems associated with deployed observability layers. Coverage evolves continuously.
Pulse Telemetry
What is Pulse?
Pulse is aater.ai's telemetry and observability layer. It is a lightweight snippet that installs on any website, browser-side or server-side. Pulse records infrastructure-level interaction signals associated with automated systems accessing publicly available content — including verified agent activity, request frequency, request paths, crawl depth, and derived telemetry signals.
Does Pulse track human visitors?
Not individually. Pulse focuses on automated AI agent activity. It also records aggregate human-acquisition counts — when a human arrives from an external AI, search, or social platform, it logs the referrer category (AI / search / social), the referring domain, and the path, bucketed hourly. It never records a human IP address, cookie, browser fingerprint, or per-visitor record, and direct or internal navigations are not recorded at all. The human data is aggregate-only and cannot identify an individual.
Which AI agents does Pulse detect?
Pulse detects known AI crawlers and training agents including GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended, CCBot, and others. The agent registry is continuously updated as new AI systems are identified. Pulse classifies agents by type — training agents, retrieval agents, and verification systems — based on known User-Agent signatures.
Can I remove Pulse at any time?
Yes. Removing the Pulse telemetry layer immediately stops all data collection. There is no lock-in.
Does aater.ai block AI systems?
No. aater.ai does not operate as a blocking layer. The platform may surface observable crawl policies, participation constraints, or telemetry conditions associated with automated access. Organisations remain responsible for their own infrastructure and policy decisions.
Positioning
Does aater.ai replace analytics platforms?
No. Traditional analytics platforms primarily focus on human visitors, sessions, conversions, and marketing attribution. aater.ai focuses on structural observability and automated-system participation signals. The two serve different purposes and can operate alongside each other.
What types of organisations use aater.ai?
aater.ai is designed for publishers, agencies, infrastructure teams, AI-native companies, content platforms, observability-focused organisations, and teams operating publicly accessible knowledge systems.
Is aater.ai a policy standard?
aater.ai publishes its structural-gate methodology and observability concepts openly. The platform does not claim to define universal standards for AI-system behaviour. External systems remain independent.
Is aater.ai trying to influence AI systems?
No. aater.ai focuses on observing and deriving structural conditions associated with automated processing. External AI systems, crawlers, retrieval systems, and model providers operate independently. aater.ai does not control their behaviour.
Data and Privacy
What data does aater.ai collect about me?
aater.ai collects your email address (for account authentication via magic link), your workspace name, and the domains you choose to track. For audit runs, aater.ai fetches publicly accessible content from submitted domains. For Pulse, aater.ai processes AI agent request metadata from sites where the telemetry layer is installed. aater.ai also uses PostHog product analytics to understand how the platform is used — page paths and interaction events within the Aater product only, with all form inputs masked and no session recordings. aater.ai does not sell personal data.
Does aater.ai use cookies for tracking?
aater.ai uses essential cookies for session authentication and security. We also use PostHog for product analytics, which may use cookies or local storage to maintain session context within the Aater platform. No advertising cookies, cross-site tracking cookies, or third-party profiling cookies are used.
Is classification data public?
Structural gate results for classified domains appear in the aater.ai Ledger, which is publicly accessible. This is structural data about publicly accessible websites — not personal data. Account data, Pulse telemetry, and workspace information are private.
Can domains opt out of the public ledger?
Organisations may request removal from public ledger surfaces where applicable. Operational telemetry and infrastructure logs may still be processed where necessary for security, verification, abuse prevention, or lawful operational purposes. Contact founder@aater.ai for removal requests.
Plans and Access
Is aater.ai free to use?
The structural audit (classification run) is free for any public domain with no account required. Pulse telemetry, dashboard access, multi-domain monitoring, and historical data require a paid plan. Pricing is available at aater.ai/pricing.
How do I install Pulse?
After creating an account and adding a domain, aater.ai generates a single-line image beacon tag. Paste it into your site's HTML before the closing body tag. Pulse activates immediately and begins recording AI agent visits. No additional configuration is required.
Can agencies use aater.ai for client sites?
Yes. aater.ai supports multi-domain monitoring and is designed for agencies managing client properties. Agencies deploying aater.ai on client sites are responsible for disclosing usage in their clients' privacy policies.
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