Agent Visibility Report
Sample: Phoenix-metro plumbing company
Prepared by Agentfacing. Sample report drawn from a real July 2026 audit; business identity anonymised and competitor details lightly composited to protect the audited parties. Your report will name names: yours and your competitor's.
Overall score: 18 / 60
One-line verdict: The best-reviewed plumber in the state is invisible in AI cost answers and impossible for AI agents to book, so machine-referred demand flows to a weaker competitor that publishes prices.
Why this matters
More than half of web traffic is now automated, and AI assistants increasingly find, compare, quote, and book services on behalf of real customers. These agents read your website differently than a person does: no animations, no images, no phone calls. This report shows exactly what they see and what they cannot do, on your site and your nearest competitor's.
The headline finding
Your website contains no pricing anywhere. Every service path ends in "call for a free estimate."
What an agent reads on your services page:
Emergency plumbing services. Family owned and operated. Call today for a free estimate. Financing available. Call for details.
What it costs you: when a customer asks an AI assistant "what does a water heater replacement cost in Phoenix," the assistant can only cite businesses whose sites contain numbers. A competitor twenty minutes from you publishes service-call ranges and hourly rates, so the AI's answer features them, links them, and never mentions you. You are not losing the comparison. You are absent from it.
The fix, in one sentence: publish indicative price ranges in plain page text, which your web person can do in an afternoon, and you become citation-eligible in every AI cost answer for your trade and metro.
The six dimensions
Discovery legibility: 8 / 10 What an agent reads: your services, service area, licence numbers, address and hours are all present in crawlable text. What it means: this is your strongest dimension. An agent asked to find a licensed Phoenix plumber can find and verify you. Fix: none required. Protect this in any site redesign.
Price legibility: 1 / 10 What an agent reads: no dollar figure appears anywhere on the site. What it means: you are ineligible for AI cost answers, the fastest-growing way customers shortlist trades. The competitor comparison below shows exactly who benefits. Fix: publish ranges, not exact quotes: "service calls typically $X to $Y." Effort: hours.
Transactability: 2 / 10 What an agent reads: every conversion path is a phone number. Your contact form has no confirmation contract and no booking endpoint. What it means: agents do not make phone calls. An agent instructed to "book me a plumber Tuesday morning" cannot complete, or even formally request, that task on your site. It completes it on someone else's. Fix: an online booking surface, even a single "request a slot" form with confirmation semantics. Effort: project, typically via your existing field-service software.
Availability legibility: 2 / 10 What an agent reads: "Same-day service available." What it means: that is a marketing claim, not a queryable fact. The agent cannot know whether Tuesday morning exists. Fix: publish hours per day in text now (minutes); expose live slots via your booking tool later (project).
Machine trust signals: 4 / 10 What an agent reads: solid page metadata, but no structured data declaring your business, reviews, or licences in machine-verifiable form. Your 4.9 stars across 1,500+ reviews, your best asset, is prose an agent must take on faith. Fix: LocalBusiness and Service structured data with licence numbers and review ratings. Effort: hours. (Provisional score: full raw-HTML inspection included in your paid audit.)
Agent action surface: 1 / 10 What an agent reads: no exposed actions, no API, no booking endpoint, no agent access policy. What it means: as browser agents grow, your site is read-only to the majority species of web traffic. Almost every local business scores low here today, which is exactly why the early movers in each metro capture the machine-referred demand. Fix: staged; begins with the booking surface above.
Competitor comparison
Competitor A, same metro, same trade: 26 / 60.
Where they beat you: price legibility. They publish service-call ranges and hourly rates, which makes them the citable answer for cost questions in your market.
Where you beat them: everything reputational. Your review volume and rating are far stronger, and their site carries machine-trust defects yours does not (their animated statistics render to agents as literal zeros, so machines read them as having "0 years of experience").
The one change that flips the comparison: publishing prices. Your reputation plus their price transparency would make you the default AI answer in your metro. Right now they hold the only card that machines can read.
Prioritised fix list
Ordered by leverage per hour of effort:
- Publish indicative price ranges in page text. Effort: hours. Access needed: CMS. Unlocks: AI cost-answer citations.
- Publish per-day opening hours in text. Effort: minutes. Access: CMS.
- Add LocalBusiness structured data with reviews and licence numbers. Effort: hours. Access: code or CMS plugin.
- Stand up an online booking or slot-request surface via your field-service software. Effort: project. Access: your FSM vendor account.
- Adopt an explicit agent access policy and instrument agent traffic separately. Effort: hours. Access: code.
What happens next
Option 1: we fix it. Remediation Sprint, scoped from this report, your audit fee credited in full. Option 2: your web person, or your own AI, fixes it, using this report as the work order.
Either way, we re-score you from the outside after any fix, because self-graded scores convince nobody. Ongoing monitoring from $250/month covers monthly re-scans, competitor score tracking, and AI-answer citation checks for your trade and city.
This report contains technical findings about machine readability of a website at the date of the audit. It is not legal, financial, or marketing advice. Findings reflect what automated agents could read at audit time and may change as the site or agent technology changes.
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