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Dental · Sydney, NSW · 60 questions · 4 AI engines
Industry snapshot · Week 34 · 15 August 2026
The top name holds just 5.9%. This market is open.
We asked ChatGPT, Gemini, Perplexity and Claude 60 buyer questions about Dental in Sydney, NSW. 180 answers came back. Here is who they named, and why.
- 5.9%
- The biggest share any one business holds
- 384
- Businesses sharing 629 recommendations
- 138
- Of 180 answers named a business
Measured on Week 34 · 15 August 2026 across 60 buyer questions and 4 AI assistants. A snapshot of what we recorded, not a ranking, score or guarantee. Full notes at the end of this report.
60 questions × 4 engines = 180 live answers
Pitt Street Dental Centre and two other names took 11.3% of every AI recommendation in this market.
We asked 60 realistic buyer questions on 4 AI engines and recorded every business named. This is a measurement of what the engines said — nothing more.
384
Different businesses were named at all across 138 answers.
11.3%
Share of all mentions that went to just the top three names.
No recommendation given
23%
In 42 of 180 answers the engine named no business at all. Those answers are excluded from every ranking on this report — a refusal is not a competitor. A high figure here is an opening: the market is not settled yet.
The names AI gave
Who AI recommends in this market
Counted across every question and engine. Only exact names and aliases confirmed from public business evidence are combined. Top ten.
Named in answers — every row is counted over the same 138 answers as the headline: how many of them named that business. Rows can add up to more than 100% because one answer often names several businesses. A description of what the engines said, not a ranking, rating or endorsement by us.
Select any row to see its engine breakdown.
Pages cited in the answers
A citation is a page the AI read and pointed at while answering — being on one of those pages is how AI learns you exist. The pages an engine cites or retrieves can influence its answer, but models generate their own wording and can make errors. This is every citation returned in this run, with the engines that returned it.
What kind of pages get quoted
| Website quoted | Category | Pages | Engines |
|---|
In their own words
What the engines actually said
Word for word, so you can read the sentence behind every number above.
Pitt Street Dental Centre
Pitt Street Dental Centre is highly regarded in Sydney CBD for comprehensive cosmetic and general dentistry.
Sydney Dental Hospital
For a public option, Sydney Dental Hospital is a strong choice if you want comprehensive care and are happy to go through the public system.
Sydney Dental Hospital is also a sensible option to enquire about, especially if you want a larger public dental setting.
Sydney Dental Hospital is a strong option because it offers an emergency dental service in Sydney and is one of the most established public providers.
In plain words
What the run showed
No jargon. This is what was actually recorded.
- We asked 60 real buyer questions about dental in Sydney, NSW across ChatGPT, Gemini, Perplexity — 180 recorded answers. After refusals and page-title fragments were removed and confirmed aliases were merged, those answers held 629 scored recommendations covering 384 businesses.
- The snapshot below orders names by recorded recommendations and keeps provider entities separate from organisations.
- 42 of the 180 answers named no business at all. Only cited pages that returned HTTP 200 are counted as sources.
What these words mean
- schema
- Schema — facts about your business written into your page in a labelled form built for machines: this is the address, this is the phone number, these are the opening hours. A visitor never sees it; an assistant reads it instead of guessing.
- robots.txt
- robots.txt — a one-page text file at the root of your site listing which automated readers may look at it. If the AI readers are not allowed in, nothing else on your site can help you.
- llms.txt
- llms.txt — a short plain-text summary of who you are and what you offer, placed at the root of your site and written for assistants rather than customers. llms-full.txt is the longer version of the same thing.
- citations
- A citation is a page the AI read and pointed at while answering — being on one of those pages is how AI learns you exist. They are usually not your own site: directories, listings and local write-ups do most of the vouching.
The market, as AI sees it
Every business that was named
How often each name was recommended and its share of all recommendations. Every table, chart and total in this report is built from this one list: 384 businesses were counted across 629 recommendations. A further 3 names were recorded but not counted — a wrong city, a name we could not confirm, or a fragment that is not a business. Those rows show a count of zero and the reason, so nothing is quietly left out.
These 10 names took 146 of the 629 recommendations recorded in this run. The rest were spread across 374 other businesses the engines named at least once. Named in answers — every row below is counted over the same 138 answers as the headline: how many of them named that business. Rows can add up to more than 100% because one answer often names several businesses. A description of what the engines said, not a ranking, rating or endorsement by us.
Named in 37 of 138 answers (26.8%).
Named in answers
26.8%
Named in 18 of 138 answers (13.0%).
Named in answers
13.0%
Named in 16 of 138 answers (11.6%).
Named in answers
11.6%
Named in 15 of 138 answers (10.9%).
Named in answers
10.9%
Named in 14 of 138 answers (10.1%).
Named in answers
10.1%
Named in 13 of 138 answers (9.4%).
Named in answers
9.4%
Named in 11 of 138 answers (8.0%).
Named in answers
8.0%
Named in 8 of 138 answers (5.8%).
Named in answers
5.8%
Named in 8 of 138 answers (5.8%).
Named in answers
5.8%
Named in 6 of 138 answers (4.3%).
Named in answers
4.3%
Named in 6 of 138 answers (4.3%).
Named in answers
4.3%
Named in 5 of 138 answers (3.6%).
Named in answers
3.6%
Named in 5 of 138 answers (3.6%).
Named in answers
3.6%
Named in 5 of 138 answers (3.6%).
Named in answers
3.6%
Named in 5 of 138 answers (3.6%).
Named in answers
3.6%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 4 of 138 answers (2.9%).
Named in answers
2.9%
Named in 3 of 138 answers (2.2%).
Named in answers
2.2%
Named in 3 of 138 answers (2.2%).
Named in answers
2.2%
Named in 3 of 138 answers (2.2%).
Named in answers
2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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2.2%
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Named in answers
2.2%
Named in 2 of 138 answers (1.4%).
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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1.4%
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0.7%
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0.7%
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0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 1 of 138 answers (0.7%).
Named in answers
0.7%
Named in 0 of 138 answers (0.0%).
Recorded but not counted: recorded in an answer, but not as a recommendation of a business in this market
Named in answers
0.0%
Named in 0 of 138 answers (0.0%).
Recorded but not counted: recorded in an answer, but not as a recommendation of a business in this market
Named in answers
0.0%
Named in 0 of 138 answers (0.0%).
Recorded but not counted: recorded in an answer, but not as a recommendation of a business in this market
Named in answers
0.0%
Notes: how this was measured
The run
60 buyer questions put to 4 AI assistants, one question at a time, with no personalisation and no logged-in history. 180 answers were recorded; 138 of them named at least one business. After refusals and page-title fragments were removed and confirmed aliases merged, those answers held 629 counted recommendations. Only cited pages that answered when we re-checked them are counted as sources.
What the count means
Every figure in this report counts answers: how many of the 138 answers that named anyone named a given business. One answer often names several businesses, so the rows can add up to more than 100%. Those 138 answers held 629 counted recommendations in total.
Advertising rules that apply to you
Regulated health service in Australia. Under the Health Practitioner Regulation National Law (s133), advertising a regulated health service must not use testimonials or patient reviews, must not claim or imply superiority such as "best" or "leading", and must not promise outcomes. Nothing in this report asks you to collect, request or publish patient testimonials. Have any new public wording checked against the AHPRA advertising guidelines before it goes live.
Do not publish or advertise any figure from this report. The rank, share of voice, competitor comparisons and the snapshot question wording are internal diagnostics for your own use, produced from one run of AI models. Republishing them — on your website, in social posts, in print or in a pitch — would be a comparative or superiority claim about a regulated service, which is exactly what the rules above prohibit. Use the report to decide what factual information to correct, not as marketing material.
What this report is — and is not
What this report is — and what it is not
This report records what AI answer engines said in response to buyer-style questions at the time of this run. It is an observation of model output, not a ranking, rating, endorsement or judgement by us. Where a business is named — yours or anyone else's — that is a fact about what the engine returned, not a statement by us that the business is better, worse, more reputable or more qualified than any other.
AI answers are probabilistic and will contain errors. Engines can invent businesses, attach the wrong address, suburb, ownership or credentials, cite pages that do not support what they say, confuse similarly named businesses, or answer about the wrong region. We flag and filter what we detect, but detection is imperfect. Scores and recommendations are our own interpretation of the recorded data — estimates, not measurements.
This is a single one-off pull, not monitoring. The questions were asked once, at the run time shown on this report, and the answers were recorded as returned. Ask the same questions tomorrow and the engines may name different businesses, in a different order, citing different pages. Before releasing a report we re-check that cited links resolve, merge duplicate spellings of the same business, and remove out-of-region and non-business results — but no verification can catch every hallucination or inaccuracy an AI produces, including ones an AI cannot detect in its own output. Treat every figure here as an observation to verify, not a fact to rely on, and take your own professional advice before acting on it.
Language here is deliberately neutral and descriptive. Sentiment reflects the tone of the engine's own wording, not our opinion of the business described. Quotes are reproduced exactly as recorded. A business not appearing in this report simply was not named in these answers, at this time, in this region — it is not evidence of anything about that business.
On request we supply the raw data CSV: every question, every engine answer, every quote and every cited link exactly as recorded, and every figure in this report is drawn from that same data — so you can check any number and see for yourself precisely what the engines said. Those words are the engines' own, reproduced verbatim and not authored, endorsed or verified by us. To the extent permitted by law, Sdraa Pty Ltd (Grascada) accepts no liability for misinformation, inaccuracy, defamation or omission in AI output, for anything relied on or republished from that data, or for any decision, spend or loss arising from this report.
Please do not use this report, or extracts from it, to make comparative, disparaging or misleading claims about another business. If you are named here and believe an output is inaccurate or unfair, email hello@grascada.com and we will review the recorded data and correct or annotate the report where appropriate. Full detail is in our Terms & Conditions.
What changed in how we count
What changed
Corrections we have made to how these numbers are calculated. Each one is already applied to this report.
2026-09-11
Your own business is always counted, and one assistant's wording is quoted again
When the address register could not confirm the business the report is about, that business was removed from the counting altogether — so a report could say a business was never named while the recorded answers named it many times. The business the report is about is now always counted; where the register could not confirm the address, the report says that instead. A release check now refuses to publish a report that prints a count of zero while the business's own name appears in the recorded answers or in any quoted wording. Quoted evidence also accepts a plain description of a business, not only wording carrying an opinion, because one assistant writes every line that way and its wording had disappeared from reports entirely. Names that were not counted now state the actual reason.
Impact: Counts, share of voice and rankings can change on any report where the address register could not confirm your own trading name, and more assistants may now appear beside quoted wording. Nothing about how a mention is counted has changed.
2026-09-10
Concentration from counts, your own site labelled as yours, and website checks split
Top-ten and top-three concentration are now worked out from mention counts over one denominator instead of by adding up the percentages already rounded for each row. Your own website is recognised by its domain and always reads 'Your site', and is never offered as a listing to join. The website checks now ask about readable service wording and service code as two separate questions, count questions and answers from one reading of the page, recognise partners, co-founders and 'started in 2015' as named people and quote the sentence matched, and the two optional root files no longer cost points. Where the report describes answers given without web search, it now states only what was observed and makes no claim about what a model holds internally. The opening reflects your actual result rather than assuming you were not named.
Impact: Concentration percentages can differ by a tenth from an earlier copy of the same report, and the readiness score can rise because the two optional files are no longer scored. A release check now holds the report back when the printed concentration does not match the counted rows, or when your own website is shown as anything other than your site.
2026-09-10
One dataset behind every figure, and citation totals rebuilt
Every count on the page — the headline, the top-ten chart, the full ranking and the engine markers — is now produced by a single answer-by-answer aggregation, so a business cannot be counted one way in a chart and another way in a list. Each business is counted once per answer rather than once per mention. The table of quoted websites is built from the complete list of cited pages instead of a shortened sample, and a competitor's own website is never presented as a place you can register.
Impact: Figures can differ from an earlier copy of the same report, because a mention counted twice in one answer is now counted once. A release check compares every chart, list, total and citation count against the underlying rows and holds the report back when they disagree.
2026-09-09
Leaderboards, branches and source actions corrected
Every visible comparison now uses one sorted answer-by-answer dataset. Business names are combined only when exact identity, reviewed public evidence or the same confirmed place supports it; branches remain separate. Joinable directories are separated from competitor, editorial and institutional sources, and buyer questions no longer name voice assistants.
Impact: Reports now undergo release-blocking reconciliation checks. If a chart, list, total, source share or engine attribution differs from the underlying rows, the report is held back instead of claiming the correction was applied.
2026-09-08
Do this first removed; engine checks moved to the end
The closing ranked list of fixes was removed — the check-by-check website audit already states the change to make for each item. The block explaining what ChatGPT, Gemini, Perplexity and Claude check before they name you now closes the report instead of opening it, so the report starts with your own results.
Impact: No figure changed. The same advice is stated once, in the audit rows.
2026-09-08
Four repeated blocks removed
The questions-your-site-should-answer block, the visibility and named-first cards, the engine confidence box and the no-recommendation-given box were removed from business reports. Each restated a figure already stated in the headline, the engine-by-engine cards or the website audit.
Impact: No figure changed. The same measurements are shown in fewer places.
2026-09-06
Fewer sections, plainer words
The report now opens with the AI visibility snapshot of your business, and six sections that repeated or interpreted figures already shown elsewhere were removed: where AI is getting its answers, where you are winning and being left out, the engine-to-engine stability panel, how concentrated the market is, the composition of page kinds behind the mentions, and the worked example tab. The page kinds behind quoted pages now read in plain words (your own website, someone else's website, best-of list article, industry or association page), a citation is explained the first time it appears, and the missing-format panel is named for what it asks you to do: pages you don't have yet that AI tends to quote.
Impact: No figure changed. The same measurements are shown in fewer places and in plainer language.
2026-09-05
The website audit grows from 11 checks to 21
Ten checks were added to the audit of your own site, all read from pages we already fetch. Technical foundations: a list of your pages for crawlers (sitemap), one official address per page (canonical), a page title and summary, and one clear main heading. How an assistant reads the page: who you are in machine-readable form, where each page sits in the site (breadcrumbs), pictures described in words, and answers written directly under the questions. Trust signals: a real about page naming a person and their role, and dates showing when content was published or updated. Each new check reads the same way as the old ones — what we found, the change to make, and what it earns you — and where a check cannot be judged it says so instead of counting as a failure.
Impact: The readiness score is now checks passed out of 21 rather than out of 11, so the same site can read as a different percentage than in an earlier copy of its report. Nothing about the engine answers or the rankings changed.
2026-09-04
A short action plan first, plainer words, and unconfirmed names marked
The report now opens with the three to five things worth doing first, ranked by what you control and by how many of the questions we asked each one would unblock, with an effort tag on each. Technical terms lead with their plain meaning — facts written so a machine can read them (schema), pages AI quoted when it answered (citations) — and a short glossary defines each one. Every business an engine named was searched for at the location the engine gave it: a name we could not confirm now carries a visible marker, and where the closest business we could confirm sits in a different suburb the report says so on the row. Unconfirmed names are excluded from claims about who is winning, but stay in the tables so the count of what the engines said is still complete.
Impact: A “Do this first” list opens the report, a glossary sits in the appendix, and unconfirmed names are marked wherever they appear. One figure can change: where the previously reported leader was a name we could not confirm, the comparison is now made against the closest confirmed business instead.
2026-09-01
Three additions: index reach, local records, and ranks 11-30 by name
Being left out of an answer has more than one cause, so three of them are now measured separately. Index presence asks each engine to look up your domain and records whether it returned a page from that domain at all — an engine that cannot reach your site cannot be persuaded by anything published on it. Local records report the business profile an assistant reads before answering a “near me” question, including whether the listed name and website agree with the site audited here. Ranks 11 to 30 are now printed by name instead of being collapsed into an anonymous remainder. Where a check could not be performed it is labelled not measured rather than reported as absent.
Impact: Two new sections appear — index presence under the website audit, and local records directly after it — plus a named ranks 11-30 band under the recommendation ranking. No existing figure changes: share of voice and recommendation counts are measured exactly as before.
2026-09-01
New measurement: who the engines name without searching
Every recommendation counted in this report came from an engine that was allowed to search the web, which measures what a lookup can find today. A selection of the same buying questions is now asked a second time with web search switched off. A business named with no search available comes from what the model absorbed during training; a business named only once searching is allowed depends on which pages get retrieved that day. Perplexity was not measured without search in these runs, so it is left out rather than estimated; this describes our measurement, not a limitation of Perplexity. No sources are printed for the no-search pass because a model that has not searched cannot honestly cite one.
Impact: A new “Memory versus lookup” section sits under the recommendation ranking. No existing figure changes: share of voice, recommendation counts and rankings are still measured with search enabled exactly as before.
2026-08-25
Company suffixes no longer split or hide a competitor
Names carrying a legal suffix — AS, Ltd, Inc, Pty Ltd, GmbH, LLC — were treated as a different kind of entity from names without one. That mis-classification could keep a business such as “Semac AS” out of the recommendation ranking even when the engines named it repeatedly. Suffixes are now stripped before names are matched and compared, and any name recommended at least as often as you are can no longer be filtered out of the ranking.
Impact: The “Who AI recommends” ranking and the name merging behind it are now complete: affected competitors appear with their full mention counts, so your position is measured against every business the engines actually named. Mention counts for your own business are unchanged.
Report GR-165RZVV · v29
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