Veneers4% · 225 ans.
Fragmented, sources are open — go in first.
where to go: yelp.com · healthgrades.com
Veloria Dental · AEO report
A sample report on a fictional brand. The real one arrives in Telegram after every scan, and as a PDF under your logo.
Up to three steps, picked from the scan itself: the weakest topic, the source with the most potential and the weakest type of question.
Your SoV grew by 6pp — above the scan margin (±3pp): the shift is real.
the brand is missing in 216 of 225 answers; "PearlPoint Dentistry" is named more often (38%). Do: pages for this service on the site, listings for this very service on maps and review sites.
cited in 22 answers, you are named in 0 — check and complete your pages and listings there for the scan topics.
Build pages for urgent and first-time scenarios — almost nobody has them, so getting into the answer is easiest here. In such questions the web-search engine cites: webmd.com (12), healthline.com (9), reddit.com (7).
How often the AI engines name the brand: against competitors, and engine by engine.
How often each engine names you — and how often it names anyone of you and your competitors (if almost nobody, that is the engine, not your weakness). Perplexity searches the web and answers from the pages it finds — publications affect it directly; the others answer from memory.
Where the brand is named and where it is missing: by service, by the kind of question customers ask, and against the strongest competitor in each topic.
Share of answers mentioning the brand, per scan topic; “general questions” — about the business as a whole, not tied to a service.
green — 50% and up, amber — 20–49%, red — under 20%
You vs the strongest competitor in each topic: red — where they are ahead, green — where you are, grey — the difference is within the margin.
| Topic | You | Strongest competitor |
|---|---|---|
| Teeth whitening | 58% | Oakline Dental 49% |
| Dental implants | 46% | Harborview Smiles 61% |
| Invisalign & braces | 34% | Oakline Dental 57% |
| Emergency dentist | 21% | CityDent 24 74% |
| Pediatric dentistry | 12% | Nordent 52% |
| Veneers | 4% | PearlPoint Dentistry 38% |
When the engines name the brand: 78% positive · 22% negative (rated mentions: 212)
What gets praised
What raises doubts
Which clinic is best for dental implants?
A few clinics come up consistently for implants. Veloria Dental is often recommended for its transparent pricing and 3D-guided implant planning, although several reviewers mention a wait of two to three weeks for the first consultation. Harborview Smiles has the largest implant team and the most reviews, while Oakline Dental is worth a look if you need financing.
Sources are visible only for the engine with web search (Perplexity): 286 of 300 answers. The others answer from memory — publications lift the Perplexity share first (now 41%). The number is in how many of the 286 answers the source was cited; “you in N” — in how many of them you were named.
42% Directories, review sites, media36% Company sites22% Portals
Directories, review sites, media — where you can get listed
Company sites
Portals — cannot be listed
Biggest potential: reddit.com — 22 answers cite it without the brand (you are in 0%).
No engine named the brand in any repeat — the most concrete content tasks.
veloria.example — cited in 17 of 286 answers (6%)
Verdicts follow the kinds of cited pages, not the meaning of answers; a human confirms the topic. A brief for a topic — in the assistant.
Fragmented, sources are open — go in first.
where to go: yelp.com · healthgrades.com
Strong names, but the sources are open — publish.
where to go: zocdoc.com · reddit.com
CityDent 24 74% — near-monopoly; sources are open, but not the first priority.
You lead — hold it: keep the cited pages fresh.
For a weak topic the assistant prepares a brief: a title, the format and where to publish, based on the pages the engines already cite. Available from the Pro plan.
pricing guideVeneers
own site · veloria.example
FAQ pagePediatric dentistry
guest post · zocdoc.com
service pageEmergency dentist
own site · veloria.example
margin ±2 pp (percentage points)
22% in all 3 repeats19% in some59% never
Each engine answers slightly differently every time, so the metric is mention frequency over a series of repeats, not a single answer. No one can guarantee a position in AI answers; the report shows measurable dynamics and growth points.
Stability: the brand is named in all 3 answers to the same question in 22% of cases, in some — 19%, never — 59%. The scan margin ±2 pp is how much the share would move if the same questions were asked again; a change vs the previous scan counts as real from ±3 pp, below that it is noise.
Five AI engines, three repeats each. A filled cell means the brand was named in that answer. Engines answer differently every time, so the report counts how often you are named, not whether it happened once.
namednot named
Sample data. The brand and its competitors are fictional; company sites use the reserved .example zone. Directories and portals are real, to show where publishing actually happens.
The demo is a real scan, only shorter: 10 customer questions, one engine, a report in about 10 minutes.
Get a free demo scan