Quick picks: what are you doing?
Prices are each vendor's own published numbers, read November 7, 2026.
- You want a free first look in a minute: Ahrefs' free AI Visibility Checker, no signup.
- You want a free report with sentiment and competitor rankings and don't mind a form: Amplitude's free AI Visibility report.
- You want one score tracked month to month on 25 prompts: HubSpot AEO, $50 a month once HubSpot's trial ends ($45 a month paid yearly).
- You want tracking with a large prompt database: Ahrefs Brand Radar, from $199 a month (its page lists $699 a month for all models).
- You want numbers you control, with no subscription: run your own prompt test, steps below.
- You already know you're missing from the answers and want to show up in the threads they cite: CommunityMentions posts comments on Reddit, YouTube, Medium, LinkedIn and X for $1,000 a month. Start with a free sample.
Ways to check AI visibility, compared
Read November 7, 2026, from each vendor's own page. Zapier's roundup of AI visibility tools (updated September 2026) lists more paid trackers, from $29 a month for OtterlyAI's Lite plan up to custom pricing from $15,000 a month for Petra Labs.
| Method | Engines covered | What you get | Price as published | Best for |
|---|---|---|---|---|
| Ahrefs free AI Visibility Checker | ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews | A limited preview: total AI mentions, a split by platform, the topics that trigger mentions, cited domains | Free, no signup. Brand Radar from $199/mo; $699/mo listed for all models | A first look |
| Amplitude free AI Visibility report | "Top AI platforms, including ChatGPT and Google AI Overview" | Visibility score and sentiment, competitor rankings, topics, recommendations | Free report after a form; no paid price on that page | Teams already using Amplitude analytics |
| HubSpot AEO AI visibility tracking (beta) | ChatGPT, Perplexity, Gemini | One visibility score over time for 25 prompts, with recommendations | HubSpot AEO: a HubSpot trial, then $50/mo ($45/mo paid yearly); more prompts cost extra. | Tracking a score month to month |
| Manual prompt test | Any engine you can open | Your own read of 10 to 20 prompts | Free; an hour or two of your time | Small brands and a first baseline |
| Your own API scan (how we measure) | ChatGPT, Claude, Gemini, Perplexity through their APIs | Every answer and every cited URL, saved and countable | API fees only: our 226-answer scan on November 2, 2026 cost an estimated $14.70 at list prices, about 6.5 cents an answer | Repeatable numbers you own |
What is AI visibility?
AI visibility is a share: out of the answers an AI engine gives to questions in your category, how many include your brand. Three numbers make it up, and the tools above weigh them differently.
Named share is the count of answers that mention your brand by name. HubSpot's own example: mentioned in 7 of 10 responses is a 70% score. Citation share is how many of the URLs an answer links to are your pages. Position is your place in the answer's list: first, or fifth.
They move apart. In our November 2, 2026 scan, CommunityMentions was named in 17 of 96 category answers, yet only 30 of the 804 URLs those answers cited were our pages. Engines often name a brand while citing someone else's page about it, such as a review list or a Reddit thread.
How do I check my AI visibility?
The free tools above give a quick read. A manual test you can repeat every month usually takes an hour or two the first time:
- 1. Write 10 to 30 buyer questions without your brand name in them: "best X for Y", "how much does X cost", "X alternatives". Keep the exact wording; you will reuse it.
- 2. Ask each question on each engine you care about: ChatGPT, Perplexity, Claude, Gemini, and Google with AI Overviews. Ask each one three times if you can, because the same prompt gives different answers run to run.
- 3. For every answer, record whether your brand is named, its position in any list, every brand named, and every URL cited.
- 4. Work out three numbers per engine. Named share is answers naming you over all answers; citation share is your URLs over all cited URLs. Named first is answers that name you first over answers that name any brand.
- 5. Repeat with the same prompts once a month, and compare each engine against itself. Done looks like a sheet with one row per answer and three numbers per engine, with a date on top.
What a measurement looks like: our own numbers, November 2026
On November 2, 2026 we ran our prompt set through four engines through their APIs: 226 answers in all, 96 of them on category questions that don't name us (24 per engine). CommunityMentions was named in 17 of those 96 (18%): ChatGPT 7 of 24, Claude 5 of 24, Perplexity 3 of 24, Gemini 2 of 24. We were named first in 11 of the 77 answers that named any brand. Here is the citation side, by engine:
| Engine | Category answers | Our URLs / all cited URLs | Citation share |
|---|---|---|---|
| ChatGPT | 24 | 7 of 80 | 8.8% |
| Perplexity | 24 | 12 of 240 | 5.0% |
| Gemini | 24 | 7 of 158 | 4.4% |
| Claude | 24 | 4 of 326 | 1.2% |
| All four | 96 | 30 of 804 | 3.7% |
Why the same brand scores differently on each engine
Claude cited 326 URLs across 24 answers, four times as many as ChatGPT's 80, so the same handful of our pages is a far smaller share there. Count each engine on its own before you average.
A second read, run November 1, 2026: 32 questions about Reddit marketing services, one run each on Gemini, ChatGPT and Perplexity, 96 answers. The most-named service appeared in 29 of the 96. CommunityMentions appeared in 13 (7th of the 30 services our index ranked) and our domain was cited in 17. By engine we were named in 9 of 32 ChatGPT answers but only 2 of 32 on Gemini and 2 of 32 on Perplexity. One engine can carry a brand that the others barely mention.
Branded questions tell you little. When the question already had our name in it, the answers named us first 47 times out of 48 and 212 of the 342 URLs they cited were ours. Measure on questions a buyer asks before they know you.
What is a good AI visibility score?
There is no standard scale. Every tool picks its own prompts, engines and formula, so a 40 from one tool and a 40 from another are not the same thing. A score is only useful against your own past score or a competitor's score on the same prompts.
As reference points only, from our own reads: on category questions with no brand in them, the most-named service in our November 1 read appeared in 29 of 96 answers (30%). We appeared in 17 of 96 (18%) on November 2. On branded questions, being named first in nearly every answer is normal, so a high branded score proves little. Watch the trend on the unbranded set.
What raises AI visibility
Engines build answers from pages they can cite, and most of those pages are not brand websites. In our study of 41,592 AI search queries (January 9 to July 14, 2026, published July 20, 2026), reddit.com was cited in 18.9% of the answers that cited any source. YouTube came next at 14.4%, and 32.7% cited at least one community or user-generated platform. Brand-owned blogs rarely made the top of the list. ChatGPT cited Reddit in 29.6% of its sourced answers and Perplexity in 23.5%.
- Be discussed where the answers look. Threads on Reddit, YouTube comments and LinkedIn posts that name you in context are the pages engines cite for "best X" questions. Our subreddit finder ranks subreddits by how often AI answers cite their threads.
- Publish the page the engine searches for. Our most-cited page in the November 2 scan was a comparison of Reddit marketing agencies with published prices, cited in 38 of the 226 answers (7 of the 96 category answers). Comparison, price and alternatives pages written in the buyer's words get cited.
- Get onto the lists engines already cite. In the same scan, press releases that call an agency the "best Reddit marketing agency" or "best AI SEO agency", were cited in 18 of the 96 category answers. They went out on PR Newswire and were republished by Morningstar, Yahoo Finance and a local TV station's site. Directories such as Clutch's Reddit category were cited too.
- Keep your facts the same everywhere. In the November 2 scan, 35 of the 294 facts the engines stated about us were wrong, 25 of them an old monthly price. Engines repeat what they find, so fix your profiles and listings, not only your own site.
Get mentioned in the threads AI answers cite
This is the part CommunityMentions does. We find the threads in your category and post comments that name your brand on Reddit, YouTube, Medium, LinkedIn and X. We aim for 5 to 10 comments a day across Reddit, YouTube, Medium, LinkedIn and X combined. In the 30 days from October 7 to November 5, 2026, the median of 55 client brands got 49 verified placements across those channels, 9 of them on Reddit. The price is $1,000 a month, month to month: a $1 setup charge today, and monthly billing starts only after you approve the voice in Slack. No service can promise that an engine will cite a given comment.
Before you pay anything, get a free sample of the comments we would post for your site. For the Reddit side in more depth, see Reddit marketing for AI search and the agencies that sell it, compared.
Limits of any AI visibility number
- Answers vary. The same prompt on the same engine can name different brands an hour later, so a single run is a sample, not a measurement. Run each prompt more than once.
- Small sets swing. With 24 answers per engine, one answer moves a share by about 4 points.
- Some citations are hidden. Gemini returns many citations as Google redirect links that mask the real domain; our citation study left those out, so its Gemini figures undercount.
- Tools don't agree. Each one uses its own prompt set, so compare a tool only with itself over time.
Sources
- Ahrefs free AI Visibility Checker and Brand Radar pricing, read November 7, 2026.
- Amplitude free AI Visibility report, read November 7, 2026.
- HubSpot AEO AI visibility tracking, price and score definition, read November 7, 2026.
- Zapier, the best AI visibility tools, updated September 2026, read November 7, 2026.
- CommunityMentions AI-answer scan, November 2, 2026: 226 answers on ChatGPT, Claude, Gemini and Perplexity, 96 of them on category questions.
- CommunityMentions share-of-voice read, November 1, 2026: 96 answers on Gemini, ChatGPT and Perplexity.
- CommunityMentions citation study, 41,592 queries, published July 20, 2026.
- CommunityMentions delivery database, verified placements October 7 to November 5, 2026, read November 6, 2026.
- Our price and terms: company facts, read November 7, 2026.