# AutoAEO — full corpus

> AutoAEO is a 24/7 Answer Engine Optimization platform that keeps brands, products and services cited by the world's leading AI answer engines.

Generated 2026-09-23 from https://autoaeo.work/. Canonical source: https://autoaeo.work/llms.txt

## Identity

- Product name: AutoAEO
- Company: AutoRun, LLC
- Website: https://autoaeo.work/
- Category: Answer Engine Optimization (AEO) platform
- Market: Brands, products and services that need to be cited by AI answer engines outside mainland China
- Languages: English
- Support: contact@autoaeo.work

## Summary

AutoAEO checks whether AI answer engines actually mention a brand when someone asks the questions that matter in its market, then tells that brand what to change so it gets cited. Every check archives the raw engine answers it was based on, together with a content hash a third party can recompute, so results can be audited rather than taken on trust. Coverage, scores and citations are tracked over time so movement is visible.

## What it is

- A platform that measures and improves how often AI answer engines cite a given subject (a brand, product, service, technology, solution, case study or event).
- Not an SEO rank tracker: it reports whether the subject appears inside an AI-written answer, with the sources the engine relied on.
- An optimisation loop: audit, fix, publish, re-check, report.

## Who it is for

- Marketing and growth teams whose buyers now ask AI assistants for recommendations instead of scrolling search results.
- Founders and small teams that cannot afford to be invisible in AI answers.
- Agencies and resellers who need AEO reporting they can hand to their own clients (White Label plan).
- Developers who want AEO data programmatically (Developer plan, public API).

## Capabilities

- Answer engine audits: asks each covered engine the questions that matter in the subject's market and records whether the subject is mentioned.
- Six-dimension scoring: answerability, structure, evidence, freshness, authority and compliance.
- Raw-answer archiving: stores the engine's answer, when it was taken, how it was obtained, and any citations it used.
- Verifiable results: a SHA-256 hash over the archived snapshot lets an independent party confirm a report was not edited.
- Content optimisation: generates drafts aligned with each engine's collection and compliance expectations.
- Citation tracking: monitors citation status over time and reports gaps and movement.
- Competitor and benchmark context: positions a subject against its sector rather than in isolation.
- Reporting: per-subject reports and shareable summaries.
- Public API access on the Developer plan and above: read subjects, audits and usage programmatically, with webhook callbacks for payment and status events.
- Back office for operators: tenants, billing, channels, engines, tickets, simulations, backups and configuration.

## How it works

1. Create a subject: a brand, product, service, technology, solution, case study or event, with its market and language.
2. AutoAEO generates the questions a real buyer would ask an AI engine in that market.
3. Each covered engine is asked those questions; the answer is archived with its timestamp, retrieval mode and citations.
4. The subject is scored on six dimensions that determine how easily AI systems can collect and quote it.
5. AutoAEO produces prioritised fixes and optimised content that match each engine's collection and compliance rules.
6. The material is published, then re-checked on a schedule so citation movement is tracked rather than assumed.

## Audit dimensions

Each check scores the subject on these dimensions:

- **answerability** — Whether the subject is described in the direct, question-shaped way an AI engine can lift into an answer.
- **structure** — Headings, lists, FAQ markup and schema that make the content machine-parseable.
- **evidence** — Concrete facts, numbers and named sources — engines prefer claims they can attribute.
- **freshness** — How current the material is; stale pages lose citation share.
- **authority** — Signals that the subject is a recognised source: references, third-party mentions and an authoritative origin.
- **compliance** — Alignment with each engine's collection and content policies, so optimisation is not working against them.

## Engines covered

- ChatGPT (OpenAI)
- AI Overviews (Google)
- Gemini (Google)
- Perplexity (Perplexity AI)
- Claude (Anthropic)
- Copilot (Microsoft)
- Grok (xAI)
- Meta AI (Meta)
- Le Chat (Mistral AI)
- DeepSeek (DeepSeek)

## What makes it different

- Evidence, not opinion: every result carries the raw engine answer it came from, so customers can read what the engine actually said.
- Independently verifiable: a SHA-256 content hash is computed over each archived snapshot and can be recomputed by any third party.
- Honest about method: each snapshot records whether it was queried from the engine or inferred, so model recall is never presented as a real citation.
- Time series, not a snapshot: repeated checks build a history of citation movement that cannot be reconstructed after the fact.
- Sector benchmarks: subjects are compared with their sector, so a score has meaning.
- Compliance-aware: optimisation follows each engine's published collection rules instead of generic keyword tactics.

## Plans and pricing

| Plan | Price | Subjects | Highlights |
| --- | --- | --- | --- |
| Free | $0/month | 1 | 1 subject, 3 engine slots |
| Pro | $19.99/month | 3 | 3 subjects, 10 engine slots, 1 tracker |
| Premium | $29.99/month | 6 | 6 subjects, 10 engine slots, 3 trackers |
| Developer | $99/month | 3 | 3 subjects, public API, 5,000 API calls/day |
| Legion | $149.99/month | 20 | 20 subjects, 20 trackers |
| White Label | $299/month | 25 | 25 subjects, 25 trackers, white-label branding, 20,000 API calls/day |

No credit card is required for the Free plan. Paid plans are monthly subscriptions; prepaid terms are available. API access requires the Developer plan or above. Pricing is shown in US dollars and may change — the authoritative page is https://autoaeo.work/aeo/pricing.md.

## Frequently asked questions

**Q: What is AEO (Answer Engine Optimization)?**
A: AEO is the practice of getting a subject cited inside the answers produced by AI systems such as ChatGPT, Gemini, Perplexity and Google AI Overviews. Where SEO competes for a position in a list of links, AEO competes for being mentioned in the answer itself.

**Q: How is AEO different from SEO?**
A: SEO optimises for ranking positions in a results page; AEO optimises for inclusion in a generated answer and for the sources the engine cites. AEO depends on being machine-collectable — clear structure, concrete evidence, current information and compliance with each engine's collection rules.

**Q: Which AI engines does AutoAEO check?**
A: Ten, weighted by citation importance: ChatGPT (OpenAI), AI Overviews and Gemini (Google), Perplexity, Claude (Anthropic), Copilot (Microsoft), Grok (xAI), Meta AI, Le Chat (Mistral AI) and DeepSeek.

**Q: How does AutoAEO verify its results?**
A: Every check archives the raw answer it was based on — the engine, the question, the answer text, the timestamp, the citations — and computes a SHA-256 content hash over that snapshot. Because the hash is deterministic, an independent party can recompute it from the report and confirm the record has not been altered.

**Q: Does AutoAEO report guesses as results?**
A: No. Each snapshot records how it was obtained: queried means the engine was actually asked, inferred means no channel was available. Engines with no configured channel are recorded as not checked rather than filled with a plausible-looking value.

**Q: How much does AutoAEO cost?**
A: There is a Free plan with one subject. Paid plans are $19.99 (Pro), $29.99 (Premium), $99 (Developer, with API access), $149.99 (Legion) and $299 (White Label, with white-label branding) per month.

**Q: Is there a free plan?**
A: Yes — the Free plan costs $0 and covers one subject with three engine slots. No credit card is required.

**Q: How often are checks run?**
A: AutoAEO runs on a schedule and re-checks subjects continuously, so citation status is tracked over time instead of being a single snapshot. Higher-frequency checking is available on higher plans.

**Q: Can I access the data programmatically?**
A: Yes. The Developer plan and above include a public API for reading subjects, audits and usage, with webhook callbacks for payment and status events.

**Q: Does AutoAEO serve customers in mainland China?**
A: No. AutoAEO is built for customers outside mainland China — the covered engines and the product's materials are English-first and aimed at markets where those engines are used for buying decisions.

## Glossary

- **Answer engine** — An AI system that answers a question directly in prose, often citing sources, instead of returning a list of links. Examples: ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot.
- **AEO (Answer Engine Optimization)** — The practice of making a subject collectable and quotable so AI answer engines include it in answers. Distinct from SEO, which targets ranked links.
- **Citation** — A mention of a subject, or of a page describing it, inside an AI-generated answer or in the sources the engine lists alongside it.
- **Snapshot** — The archived record of a single check: the engine, the question asked, the answer received, when it was taken, how it was obtained, and the citations used.
- **Snapshot hash** — A SHA-256 hash computed over a snapshot in a fixed key order. It lets anyone recompute the value from a report and confirm the underlying record was not edited.
- **Retrieval mode** — How an answer was obtained. web means the engine answered from live search results; memory means it answered from its own trained knowledge; none means no channel was available.
- **llms.txt** — A Markdown file at a site root that gives AI systems a short, structured summary of what the site offers and where the authoritative detail lives. AutoAEO publishes one at https://autoaeo.work/llms.txt.
- **Grounding** — Connecting a model's answer to external, retrievable sources so the answer reflects current information and can be attributed.

## Where it is not a fit

- Customers in mainland China — the covered engines and materials are aimed at markets outside mainland China.
- Teams looking for traditional keyword rank tracking; AutoAEO measures citations inside AI answers, not search result positions.
- Anyone wanting a one-off report only; the product's value comes from repeated checks building a history.

## Contact

- Website: https://autoaeo.work/
- Support: contact@autoaeo.work
- Company: AutoRun, LLC