InfiniteWatchAgent Ready Web
IW AGENT READY WEB

www.rac.co.uk
MCP & WebMCP readiness.

Discover how easily AI assistants can find your business and help customers take action.

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www.rac.co.uk19 documents checked16:27 UTC

Your website’s AI readiness

23 checks · 6 categories

We check public information without submitting forms or taking actions on your website.

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www.rac.co.uk · 78/100 · 2026-09-24

LESS FRICTION. MORE MOMENTUM.

From browsing pages to getting an answer.

Illustrative scenario
4 steps1 guided action

Turn insurance questions into a guided quote, a coverage comparison and a clear next step.

See the journey assumptions
  1. Find cover
  2. Compare options
  3. Enter quote details
  4. Request a quote

The proposed action brings these steps into one guided interaction. This is an example, not measured performance of this website.

Explore time savings and calculation assumptions
CUSTOMER TIME

How much time could your customers save?

www.rac.co.uk · Finding information

Based on this website
Estimated time saved
4.1seconds saved

per customer task

73.4% less estimated waiting
Estimated task duration

Page-by-page journey

5.6s

4 estimated steps × 1.4s per step

With a proposed AI shortcut

1.5s

1 estimated step × 1.5s per step

Compares an AI assistant navigating pages with a proposed direct action. These are projections; we haven’t timed the task or confirmed that a discovered tool can complete it.

Adjust task steps and timing

Match these assumptions to the same completed customer task in both journeys.

Page-by-page journey
With a proposed AI shortcut

Task duration = steps × seconds per step. Each step includes assumed processing and request time.

Technical detail: token use

Tokens estimate the amount of content the AI processes.

Estimated token difference per task13,909 fewer tokens

96.0% less token use.

Page-by-page journey 14,484 tokens

With a proposed AI shortcut 575 tokens

Page-by-page journey
With a proposed AI shortcut

Tokens per task = steps × tokens per step + one-time context setup. Token changes do not change the timing assumptions.

Scan evidence: about 3,621 readable context tokens and 115 tool schema tokens.

How this website’s estimate was built
Observed page request
0.21s
Controls found
27
Forms found
0
Tool definitions found
1
  • The browser model assumes readable text plus 24 tokens per control is sent on every step without caching. Raw HTML size is not used as the default context; agents may send smaller snapshots or diffs.
  • Token sizes are approximated from retrieved characters ÷ 4; no model tokenizer was run.
  • Browser steps assume navigation, 1 input decision, submission and reading. These steps were inferred, not executed.
  • Setup overhead uses all discovered tool schemas. The comparison models a proposed one-call page interaction; discovered tools have not been verified to support this same task.
  • Each step assumes 1.2 seconds of model processing. Browser network time uses this page’s HTTP request; tool time uses an editable 300 ms placeholder. Neither is a measured customer workflow.
  • Tool argument/result tokens use an editable 400-token allowance plus 60 tokens per modeled input. Cached context, retries and real output sizes can change savings.
EXPLORE MORE COMPANIES

See how other websites compare.

Explore other companies’ AI readiness reports. Search for a website or browse by industry to find ideas for your next customer journey.

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YOUR BUSINESS OPPORTUNITY

Turn customer intent into action.

Insurance · Inferred from public signals

Make my website agent-ready ↗
01

Let AI assistants generate a quote

Turn insurance questions into a guided quote, a coverage comparison and a clear next step.

What supports this opportunity

Proposed customer journey. Public signals guide the implementation.

Customer actions listed for AI · Detected

1 tool definitions found in a descriptor. Connection was not verified.

Clearly explained actions · Detected

Tool names and description signals found. Source checks do not prove runtime completeness.

Required information for each action · Detected

Structured tool input declarations detected. Schema correctness needs runtime review.

Action safety information · Not yet verified

Explain which actions only read information and which make changes, so assistants can handle them appropriately.

02

Get discovered with the right answer

Help assistants understand your offer and point customers towards the next useful action.

What supports this opportunity

Proposed customer journey. Public signals guide the implementation.

Clear page title · Detected

Title: RAC Breakdown Cover Car Insurance | Route Planner | RAC

Search description · Detected

A descriptive meta description is present.

AI content guide (llms.txt) · Not detected

Consider a short guide pointing AI assistants to your most useful content. Your web team can publish it as llms.txt.

Instructions for connecting AI assistants · Detected

MCP documentation links or endpoint configuration are publicly discoverable.

Content labels AI can understand · Not detected

Help AI understand your products, services or organization with structured content labels, implemented by your web team.

03

Make the next step easier

Give customers and assistants a clear route from interest to an enquiry or purchase.

What supports this opportunity

Proposed customer journey. Public signals guide the implementation.

Clear page structure · Detected

An h1 and a main landmark are present.

Easy-to-follow navigation · Detected

416 labelled, crawlable link(s) found.

Clear button and form labels · Detected

No unlabelled controls detected in this HTML sample (0 input controls). This is not a full accessibility audit.

WHAT AI ASSISTANTS CAN USE

Actions AI assistants can find

Tools let AI assistants help with tasks such as finding a product or checking an order. These are the public integration signals we found; task completion still needs testing.

0Browser integration sources
—AI tools · count unverified
UnverifiedBrowser integration signals
Explore the tools and technical evidence

WebMCP connects AI assistants to actions in a browser. MCP lets compatible assistants connect directly to a service. The details below help your technical team evaluate both.

No compatible public MCP connection confirmed (HTTP 405). View endpoint ↗

check_mobile_mechanic_coverage

Check whether an RAC mobile mechanic is available to visit a given UK postcode for car servicing or repair. RAC mobile mechanics perform full services, interim services, diagnostics, brake replacements, battery replacements, and more — at the customer's home or workplace, avoiding the need for a local garage. Returns whether coverage is available and the next available booking date within the requested window (default: today + 14 days, maximum 4 weeks ahead).

Inputs: postcode, fromDate, toDate
MCP descriptor

1 named source declarations found. Counts cover the sampled page and advertised endpoints. Source declarations are not runtime-tested tools; entries listed through more than one route may overlap.

WebMCP directory · webmcp.com

The webmcp.com directory lookup is unavailable. Listing status remains unverified.

Open webmcp.com ↗

This is a stored directory snapshot, not a live tool test. Its count may include browser-only tools and may differ from the public MCP server count. Directory listings do not change your score.

MCP Registry

No matching listing returned. This limited name search does not prove absence from the directory.

MEET AGENTS WHERE THEY ARE

Where can customers use AI assistants?

Support varies by browser and assistant. Some connections are still experimental; this is a platform guide, not a test of your website.

Reviewed Sep 2026
See browser support and connection options

Google Chrome

149+ · origin trial

WebMCP requires an eligible origin trial or the experimental testing flag. A compatible agent is also required.

Support details

Microsoft Edge

150+ · origin trial

Available for experimentation through the Edge origin trial. Check trial eligibility and current expiry dates.

Support details

Brave / Leo

Experimental integration

Experimental Leo integration is reported by the specification project. Availability is not guaranteed for all users.

Support details

Mozilla Firefox

No confirmed release

Prototype work is tracked, but no native release is confirmed. Use standard browser automation or a remote MCP client.

Support details

Apple Safari

No confirmed native support

Native WebMCP cannot be assumed. Regular browser automation and separate remote MCP clients remain alternatives.

Support details

Remote MCP clients

Browser-independent

Compatible agents can connect directly using a supported transport. Authentication and permissions still apply.

Support details

Remote MCP is a separate route. A compatible agent can use a remote MCP server independently of the visitor’s browser. Browser automation can still use regular pages. This matrix describes platform support, not a cross-browser test of your website.

UNDERSTAND YOUR SCORE

A clear starting point for your team.

Can AI assistants find your website, understand what you offer and help customers act? Your score brings these signals together and shows where a closer look is needed.

LESS WAITING. FEWER STEPS.

Let customers get things done through AI.

Bring quoting, booking and product discovery into AI-assisted customer journeys.

A walkthrough of your website Opportunities to reduce customer effort A practical plan for your team

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