Appearing, but not winning.
Named in 6 of 42 patient-style AI prompts; cited as a top option only twice.
Sample AI Visibility Audit
A realistic preview of a $99 deliverable that earns its price: a beautiful visibility report plus an action workspace with copy-ready fixes, schema starter assets, GBP prompts, owner tasks, and a re-test plan—not just a PDF of problems.
Named in 6 of 42 patient-style AI prompts; cited as a top option only twice.
Buyer-intent prompts where another local practice was recommended first.
Grouped into schema, source evidence, GBP, service content, and review signals.
Schema starter, GBP edits, review prompts, service FAQs, and re-test checklist.
Top 3 moves this week
These are the first fixes a buyer can assign without reading the whole report. Each move includes owner, impact, effort, asset, and the expected visibility outcome.
Make location, service, FAQ, appointment, and contact facts parseable on the homepage plus Invisalign, veneers, emergency, and implant pages.
Expected outcome: engines can cite concrete practice/service facts instead of vague directory summaries.
Add direct patient-question blocks for Invisalign and veneers: candidacy, timeline, cost expectations, financing, and comparison guidance.
Expected outcome: move from passing mentions to top-three recommendations for cosmetic prompts.
Update services, photo captions, appointment links, and review request language around anxiety, emergencies, Invisalign, veneers, and affordability.
Expected outcome: stronger local proof for discovery and same-week appointment prompts.
Before → after target
The $99 report should not promise magic rankings, but it can define a realistic target range for the exact same prompt set after the priority repairs ship.
Target range after schema, GBP, and priority service-page patches are live and crawled.
Measured against the same patient-style prompts so the before/after comparison stays honest.
Owned pages, profile signals, and review snippets should support the claims engines repeat.
Executive summary
The practice has a real location footprint, positive reviews, and service pages for Invisalign, veneers, implants, and emergencies. AI systems still under-recommend it because the strongest evidence is scattered: key services are not reinforced with structured data, the Google Business Profile does not mirror the high-intent service language, and the site rarely answers comparison-style patient questions directly.
This report does not say “make more content.” It turns each visibility loss into a repair card: exact page to update, suggested copy block, structured-data starter, owner task, and the prompt that should be re-tested when the fix ships.
Why this is worth $99
The buyer should finish the report knowing what to change today, what to hand to a webmaster, what to paste into their profile, and how to measure whether it worked.
Shows the buyer the questions patients are asking, whether they appear, who wins instead, and why the answer engine trusted that competitor.
Turns each issue into suggested page copy, schema fields, GBP edits, review prompts, and a clear owner vs. technical handoff.
Keeps the original prompt set so the buyer can rerun the same test and see if mention share, rank, and evidence quality improved.
Implementation brief preview
The report now shows what the buyer would hand to an owner, front desk, writer, or webmaster. That turns the audit from advice into a ready-to-execute sprint plan.
URLs, schema types, required fields, validation steps, and the exact prompt that should move after the change ships.
JSON-LD starter + QA checklistServices to add, photo captions to write, appointment-link checks, and the review language to start requesting this week.
GBP checklist + review scriptA ready outline for the missing Invisalign, veneers, emergency, or affordability answer section that AI systems can cite.
Copy outline + FAQ promptsMethodology
We tested discovery, comparison, emergency, insurance, and treatment-readiness prompts across five answer surfaces. Each answer was logged with named practices, ranking order, cited or implied sources, confidence notes, and whether Bright Smile appeared as a clear recommendation, passing mention, or not at all.
“Who is the best cosmetic dentist near Lake Mary for Invisalign and veneers?”
Prompt-by-prompt results
The paid audit includes the full prompt log. This sample shows the level of specificity: exact question, answer-engine behavior, competitor mentions, and recommended response.
Competitor visibility map
| Practice | Mentions | Top recommendation | Likely evidence helping them | Bright Smile opportunity |
|---|---|---|---|---|
| Lake Mary Dental Care | 18/42 | 9 | Strong GBP categories, broad review volume, emergency service language, directory consistency. | Match emergency and family dentistry proof with direct service FAQs and LocalBusiness schema. |
| Oakmonte Dentistry | 14/42 | 6 | Clear cosmetic dentistry pages, financing references, and patient anxiety language. | Add anxiety-care and financing sections to Invisalign, veneers, and implant pages. |
| Heathrow Dental Studio | 11/42 | 5 | Cosmetic positioning, visual portfolio cues, and citations from local comparison pages. | Publish before/after proof blocks and answer “best cosmetic dentist” comparison prompts directly. |
| Premier Smile Center | 7/42 | 2 | Review snippets and affordability language surfaced on third-party pages. | Bring insurance, financing, and price-expectation content onto owned pages. |
Strong GBP categories, broad review volume, emergency service language, directory consistency.
Clear cosmetic dentistry pages, financing references, and patient anxiety language.
Cosmetic positioning, visual portfolio cues, and citations from local comparison pages.
Review snippets and affordability language surfaced on third-party pages.
Answer-engine evidence gaps
AI answers tend to cite or summarize public proof: service pages, review language, profile categories, FAQ answers, directories, and local authority mentions. These gaps explain why a real practice can be skipped even when it is a good fit for the patient.
Add Dentist, LocalBusiness, Service, FAQ, and Review schema where appropriate so engines can parse the practice, location, services, and proof.
The site describes services, but rarely answers “who is best for…,” “what does it cost,” “am I a candidate,” or “what happens next” in plain language.
Categories, services, photos, appointment URL, and review prompts should echo the high-intent services answer engines are asked about.
Positive reputation exists, but there are few visible snippets tying reviews to Invisalign, veneers, implants, emergencies, anxiety, or affordability.
Interactive action panel
This is the upgrade from “here is what is wrong” to “here is the exact mechanism to improve it.” The real buyer dashboard would save progress and rerun the prompt panel.
Bright Smile exists in the answer, but the engine has too little proof to recommend it confidently for Invisalign and veneers.
Add a direct-answer section: cost range, candidacy, treatment timeline, financing, and how consultations work.
Place two review snippets or patient-proof bullets near the Invisalign CTA.
Add FAQ schema for the five questions patients asked in the prompt panel.
“Bright Smile Dental helps Lake Mary adults compare Invisalign, veneers, and cosmetic options in one consultation. We explain candidacy, expected timeline, financing paths, and when another treatment may be a better fit.”
Prioritized fixes
The goal is not a giant marketing project. It is a ranked list of concrete changes that improve how answer engines understand the practice, services, location, and proof.
Make the practice name, address, phone, appointment URL, services, hours, and concise patient answers parseable by answer engines.
Add direct-answer sections for cost expectations, candidacy, timelines, anxiety, financing, and why a Lake Mary patient would choose this practice.
Update services, categories, appointment links, photos, and review-request language to reinforce cosmetic, emergency, and patient-comfort signals.
Publish a transparent “choosing a dentist in Lake Mary” page that addresses reviews, specialties, appointment speed, insurance, and treatment fit.
Group existing reviews by treatment theme so answer engines can connect reputation proof to the exact service patients ask about.
30-day roadmap
Publish schema, verify NAP consistency, update metadata, and make appointment/contact details unambiguous on priority pages.
Rewrite the Invisalign, veneers, and emergency sections with direct answers, trust proof, and internal links from the homepage.
Tune Google Business Profile services, add photos, seed review prompts, and publish service-specific FAQ blocks.
Run the same prompt panel again, compare mention share, and decide whether the next fix should target sources, reviews, or content depth.
Resource library
For a $99 product, perceived value comes from leverage. Each recommendation includes a small asset the buyer can use immediately or hand to whoever manages their website.
A section-by-section outline for rewriting a priority service page around answer-engine-friendly patient questions.
Hand to writer or webmasterA field checklist and JSON-LD starter so the technical fix is concrete instead of vague “add schema” advice.
Paste into dev ticketShort scripts that help future reviews mention the service, concern, and outcome answer engines look for.
Use at front deskBefore/after prompts, expected signal change, page updated, date shipped, and next action if the answer does not move.
Measure progressWhat the buyer gets
The paid audit ships with a concise PDF plus an interactive improvement panel: full prompt log, named competitors, source evidence gaps, copy-ready resources, owner/webmaster tasks, and a 30-day re-test plan. Ask & Appear Monthly can then implement the highest-impact changes and rerun the same prompts so the owner sees whether AI visibility improved.