# AI Access

> Source: https://www.aisyndicate.com/ai-access/
> Provider: AI Syndicate · Last updated: 2026-07-15
> Markdown version for LLMs and AI agents. Canonical HTML: https://www.aisyndicate.com/ai-access/

## What is AI Access?

**AI Access** is AI Syndicate's AI-readiness score. It scans a site the way an AI engine's own crawler does and returns a **0–100 score** across the checks that gate visibility in ChatGPT, Claude, Google AI Overviews, Perplexity, and the rest of the major AI engines — then ranks every gap by impact.

It answers a narrower, upstream question than an SEO score: not "will this rank," but **"can an AI engine even reach, parse, and trust this content enough to consider citing it."** A site can rank well on Google and still fail most of the checks that keep it invisible to AI.

## Why it matters

Most sites fail AI-readiness checks without ever finding out — a stray robots.txt rule, missing schema, an unclear entity, or no machine-readable index file can quietly wall a brand off from every AI engine's crawler, with zero warning in ordinary analytics. The first signal most brands get is declining pipeline, long after a competitor's site became the answer instead of theirs.

## What it measures (categories)

AI Access publishes the categories it scores. The full weighted checklist — all 30+ individual checks — is revealed on your own scan rather than published generically, so the score stays meaningful instead of becoming something to game.

1. **Crawl & access** — whether the AI bots that matter are actually allowed in, and whether what they see matches what a person sees.
2. **Structured data & schema** — whether pages carry the machine-readable markup engines use to understand what a brand is and offers.
3. **Entity clarity** — whether name, address, phone, and identity are consistent across a site and the sources AI cross-checks.
4. **Machine-readable files** — llms.txt, agents.md, and robots.txt: the files purpose-built for AI agents, and whether they exist and say the right thing.
5. **Intent signals** — whether each page clearly telegraphs what it's for, so an engine can match it to the right question.
6. **Trend over time** — every re-scan plots against history, so the score and its underlying fixes are provably compounding.

## Why the AI Access score is different: measured, not invented

Most "AI visibility scores" are invented — a handful of surface checks (usually homepage-only) with points assigned arbitrarily, on a checklist a chatbot suggested. The AI Access score is measured from data: AI Syndicate operates its own crawlers, engine probes, and citation tracking across all 10 major AI engines, continuously, and every check and weight traces back to that observed engine behavior.

It is also the most thorough audit in the category: 30+ checks against every page that can be discovered on a domain, not a homepage spot-check. The same pipeline powers AI Syndicate's monitoring products, so a check that drifts from engine reality gets caught immediately. The weights stay private so the score measures readiness, not who read the formula.

## How it works

1. **Scan** — enter a domain; AI Access crawls it the way an AI engine's own bots do. No login, no code, about a minute.
2. **Score** — returns a 0–100 number, a severity breakdown (critical / moderate / passing), and a preview of what's failing — free, instantly.
3. **Fix** — on a paid plan, every issue ships with a plain-language fix ranked by impact, with copy-paste guidance or direct auto-apply on supported CMSs.
4. **Re-prove** — re-scan any time; the score and the specific checks behind it are tracked, so improvement is provable rather than a claim.

## Free vs. full breakdown

| | Checking manually | AI Access (free scan) | AI Access, full breakdown (on plan) |
|---|---|---|---|
| Score | — | 0–100, once | 0–100, tracked every scan |
| Crawl & access checks | Whatever you happen to know to look for | Aggregate result only | Every check, named and explained |
| Schema & entity issues | Guesswork, usually after the fact | Severity counts only | Exact issue, exact page, exact fix |
| Fix guidance | — | — | Plain-language + copy-paste, auto-apply on supported CMSs |
| Re-scan & trend | Ad hoc, if ever | One-time | Continuous, benchmarked over time |
| Cost to start | Your own time | Free | From $499/month (AI Pulse) |

## FAQ

**What is AI Access?** AI Access is AI Syndicate's readiness score. It scans a site the way an AI engine's crawler does and scores it 0 to 100 across the checks that gate visibility — crawl access, structured data, entity clarity, and machine-readable files like llms.txt and agents.md — then ranks the gaps by impact.

**How is AI Access different from an SEO score?** SEO scores mostly predict rankings in a list of blue links. AI Access predicts whether an AI engine's crawler can even reach, parse, and trust content well enough to consider citing it at all.

**What exactly does AI Access check?** Crawl access, structured data and schema coverage, entity clarity and NAP consistency, machine-readable files (llms.txt, agents.md, robots.txt), and intent signals. The categories are published; the full weighted checklist is revealed on your own scan.

**Is the free scan really free?** Yes — the 0-100 score, severity counts, and a preview of what's failing cost nothing and take about a minute. The full page-by-page breakdown and ranked fixes unlock with a plan.

**What's a good AI Access score?** 100 with zero issues is the target. Most sites scanned for the first time land between 30 and 65.

**Do I need to be technical to fix a low score?** No — every finding ships with plain-language guidance, and paid plans include copy-paste fixes or auto-apply into supported CMSs.

**Does my score change over time?** Yes — AI Access is tracked, not one-and-done. Every re-scan is plotted against history.

**How long does an AI Access scan take?** About a minute for most sites — enter a domain, no login, no code snippet, no DNS change.

**Which AI engines does AI Access predict visibility for?** ChatGPT, Claude, Google AI Overviews, Gemini, Perplexity, Copilot, Meta AI, Grok, DeepSeek, and Mistral — plus the voice assistants (Siri, Alexa+) that answer through them.

**How is AI Access different from other AI visibility checkers?** Thoroughness, and where the score comes from. Most checkers run a few surface checks with arbitrary points. AI Access runs 30+ checks against every discoverable page, and the score is measured, not invented — every check comes from operating crawlers, engine probes, and citation tracking across all 10 engines continuously.

## Glossary

- **AI Access score** — a 0–100 measure of whether AI engines can find, parse, and trust a site well enough to cite it.
- **AI crawler** — the bot an AI engine sends to read the web (GPTBot, ClaudeBot, Google-Extended, PerplexityBot). If it's blocked, that engine can't cite you.
- **llms.txt** — a machine-readable index file at the root of a site that tells AI agents what the site is and where its most citable content lives.
- **agents.md** — a companion file to llms.txt that gives AI agents structured instructions for interacting with a site.
- **Entity clarity** — how unambiguous a brand's identity is to a machine: consistent name, address, phone, and cross-referenced identifiers everywhere AI looks.
- **Structured data (JSON-LD)** — schema.org annotations that describe what a page is, in a form AI engines parse directly instead of guessing.

## Related

- [All products](https://www.aisyndicate.com/products/)
- [AI Pulse](https://www.aisyndicate.com/products/pulse/)
- [Generative Engine Optimization: the complete guide](https://www.aisyndicate.com/generative-engine-optimization/)
- [AI Visibility Audit](https://www.aisyndicate.com/ai-visibility-audit/)
- [Methodology](https://www.aisyndicate.com/methodology/)