Made by Perplexity
Perplexity
Perplexity's models and how it answers buying questions: 54 models on Perplexity's list, and its answers reported perplexity/sonar.
1The model behind the answers
Requested: the model Citewake's calls asked for. Reported: the model string each response returned. A change in the reported string is recorded as observed.
2How it answers
| Per answer | 28 October 2026 | Normal variation |
|---|---|---|
| Answers that searched the web | 100.0% | ±0.0 pts |
| Searches per answer | 3.0 | ±0.0 |
| Pages found per answer | 15.0 | ±0.1 |
| Pages cited per answer | 4.3 | ±0.2 |
| Brands named per answer | 2.7 | ±0.5 |
| Words per answer | 185 | ±7 |
From the published editions' answers (178 questions and 178 answers on 28 October 2026). Normal variation is the same-model calibration floor.
Daily figures (1 day so far) are withheld until a day combines at least 5 different sites; they appear here once they do.
3How much does an answer change on its own?
The same AI asked the same questions in one edition and the next, on the same model. What moves here is the answer's own variation, the floor any claimed change has to clear.
Asked the same 178 questions a day apart on the same model (perplexity/sonar); on the 154 where it recommended something both times, Perplexity kept the same first recommendation on 35.7% of them (90% interval 29.4% to 42.3%); on average 30.1% of its recommended brands were the same.
| Edition 0 to Edition 1 | Edition 0 | Edition 1 | Change or share | 90% interval |
|---|---|---|---|---|
| Same first recommendation (154 questions) | 35.7% | 29.4% to 42.3% | ||
| Recommended brands in common (154 questions) | 30.1% | 25.9% to 34.4% | ||
| Brands named | 2.7 | 2.6 | -0.1 | -0.3 to +0.1 |
| Words | 185 | 184 | -1 | -6 to +4 |
| Searched the web | 100.0% | 100.0% | 0.0 pts | 0.0 pts to 0.0 pts |
| Pages found | 15.0 | 14.9 | -0.0 | -0.1 to +0.0 |
| Pages cited | 4.3 | 4.3 | +0.1 | -0.1 to +0.3 |
Pooled over 3 categories; the model perplexity/sonar as requested. Per answer means; changes are after minus before.
How do I make a link in bio page? Perplexity · 50.0% in common
Edition 0 · 28 October 2026 · perplexity/sonar
Recommended Linktree, Canva
A link-in-bio page is a simple landing page with several links, so you can share one URL in your social profile.
Quick way to make one
- Choose a tool: Use a service like Linktree, or make a one-page site with Canva. Linktree’s basic setup is to sign up, add links, customize the page, and copy your page URL. 1
- Add your links: Include the destinations people are most likely looking for—such as your website, shop, latest video, newsletter, or contact details.
- Make it easy to scan: Use short, clear button labels, put your most important link first, and keep the design readable on a phone.
- Publish and test: Open the page on your phone and tap each link to make sure it works.
- Add the page URL to your social profile: On Instagram, for example, go to Profile → Edit profile → Links → Add external link, paste the URL, and save. 2
If you’d rather design your own page, Canva lets you start with a template, add hyperlinks, preview it on mobile, and publish it with a Canva URL. 3
Tip: Keep the page focused—too many choices can make it harder for visitors to know what to tap. Check the page whenever you change a destination or promote something new.
Sources: 1 Linktree setup guide · 2 Instagram link instructions · 3 Canva link-in-bio guide
Edition 1 · 29 October 2026 · perplexity/sonar
Recommended Linktree
A link-in-bio page is a small, mobile-friendly page that collects several destinations—such as your shop, latest video, newsletter, or contact page—under one shareable URL.
Easy option: use a link-in-bio service
- Sign up with a service such as Linktree and choose a username; it becomes your page address. 1
- Add your links, give each one a clear label, and put the most important link first. 2
- Add a short bio or profile photo and choose a simple style that’s easy to read on a phone. 1
- Open the page yourself and test each link.
- Copy your page URL and add it to your social profile. Linktree’s setup flow, for example, is to create an account, add and customize links, then paste the URL into your bio. 2
On Instagram: go to Profile → Edit profile → Links → Add external link, paste the page URL, and save. 3
You can also make a page on your own website if you have one. Keep it focused—usually a handful of useful links is easier for visitors to navigate than a long list.
Best free link in bio page for Instagram Perplexity · 100.0% in common
Edition 0 · 28 October 2026 · perplexity/sonar
Recommended Beacons, Linktree, Lnk.Bio
Best all-around free pick: Beacons—it offers unlimited links, page customization, a media kit, and basic email marketing on its free plan. The main catch: it charges a 9% fee on sales made through its store, so it’s a better fit if you mainly want to share links than sell products. 12
Other good options:
- Linktree — a straightforward choice for a clean link list; its free plan includes unlimited basic links, though some layouts and features are paid. 710
- Lnk.Bio — worth considering if you want a simple page with unlimited links and basic analytics. 14
Quick recommendation: Choose Linktree for the simplest setup, Beacons for more creator tools, or Lnk.Bio for a basic alternative. Free-plan features can change, so check the plan details before signing up.
Edition 1 · 29 October 2026 · perplexity/sonar
Recommended Linktree, Beacons, Lnk.Bio
Best all-around free pick: Linktree. Its free plan offers unlimited links, basic click analytics, and simple page customization—enough for most Instagram profiles. 4
Consider Beacons if you want creator extras such as a media kit, email signup, or a small storefront. Its free plan includes those features, but selling comes with a 9% transaction fee. 19
Quick guide:
- Just want a simple list of links: Linktree 4
- Want creator and selling tools: Beacons 1
- Want embeds and a grid-style page: Lnk.Bio’s free plan includes unlimited links and basic statistics. 15
For most people, I’d start with Linktree and switch only if you need Beacons’ extra tools. Free-plan features can change, so check the provider’s pricing page before you set it up.
How do I check if my website gets cited by AI search engines? Perplexity · 33.3% in common
Edition 0 · 28 October 2026 · perplexity/sonar
Recommended Bing Webmaster Tools, Google Search Console
The best way is to combine official webmaster reports with a small amount of manual or third-party checking. Keep in mind that “AI visibility” can mean a brand mention, a link to your site, or an actual citation to one of your pages—those aren’t the same thing.
- Check Bing Webmaster Tools. Verify your site, then open AI Performance. It reports citation counts, cited URLs, trends, and sample “grounding queries” across supported Microsoft AI experiences, including Copilot and Bing AI answers. It doesn’t cover every AI assistant or tell you how much traffic a citation generated. 6
- Check Google Search Console for Google AI features. Google’s generative-AI reporting shows impressions and pages appearing in supported Search features such as AI Overviews and AI Mode. Treat this as visibility data, not a complete citation log across all AI products. 14
- Test the questions your customers actually ask. In ChatGPT, Perplexity, Gemini, Copilot, and other relevant tools, try a consistent set of prompts and record whether your site is mentioned, whether a page is linked, and which URL is cited. Repeat periodically, since answers can vary by query, location, and time. For a more reliable comparison, keep a dated spreadsheet of prompts and results.
- Use a monitoring platform if you need scale. Third-party AI visibility tools can track chosen prompts, mentions, cited URLs, and competitors across multiple services. Compare a few options based on which AI platforms and reporting features they support; don’t assume a vendor’s coverage is universal. 1015
- Measure referral traffic separately. Check your analytics for visits from AI services, and track conversions from those visits where possible. Citation counts and impressions don’t necessarily translate into clicks or business results. 12
A simple starting routine: review Bing and Google reports monthly, test 10–20 important prompts across the AI tools your audience uses, and log date, prompt, platform, mention, cited URL, and referral visits.
Edition 1 · 29 October 2026 · perplexity/sonar
Recommended Bing Webmaster Tools, GA4
Use a mix of direct citation checks and analytics. They answer different questions: citation tracking shows whether an AI answer names or links to your site; analytics shows whether that mention sent visitors.
- Check the search engines’ own reports.
- Bing/Copilot: Verify your site in Bing Webmaster Tools and look for AI Performance. Its report shows citation counts, cited URLs, trends, and some retrieval queries across supported Microsoft AI experiences. 2
- Google AI Overviews and AI Mode: Google currently includes traffic from AI features in the regular Search Console Performance report under Web; it does not provide a separate citation report there. 1
- Track referrals in your web analytics. In GA4 or your analytics platform, review referral sources for AI services—for example,
chatgpt.comorperplexity.ai—and see which landing pages and conversions they bring. This catches visits, not citations that users saw but didn’t click. 12
- Run a repeatable set of test queries. List the questions your customers might ask, then check whether each engine cites your domain and which page it links to. Record the date, query, engine, cited URL, and whether your brand is mentioned. Repeat periodically: results can vary by query and over time.
- Consider a third-party AI visibility tracker if you need regular, multi-engine reporting. These tools can monitor mentions and cited URLs across services such as ChatGPT, Perplexity, Gemini, and Google AI features; compare which engines and features a tool actually covers before choosing one. 511
Practical starting point: set up Search Console and Bing Webmaster Tools, add referral reporting in GA4, and manually track a small, stable set of important queries. Don’t treat a single test—or referral traffic alone—as a complete measure of AI citations.
Best AI visibility tracker for a small marketing agency with several clients Perplexity · 33.3% in common
Edition 0 · 28 October 2026 · perplexity/sonar
Recommended Otterly.AI, Peec AI, Semrush AI Visibility Toolkit, Profound
Best fit: OtterlyAI for a budget-conscious agency with several clients
Its agency-oriented plans support multiple client workspaces, so you can keep brands’ tracking separate without paying Semrush’s per-domain fee for every client. The trade-off is that reporting is not natively white-labeled; branded Looker Studio reports are available instead. The agency comparison lists Standard at $189/month and Premium at $489/month, with Premium including unlimited workspaces and 400 prompts. Check the current plan limits and eligibility for agency pricing before signing up. 1114
Other good options
- Peec AI — Consider it if you want more room to grow: agency plans start at $245/month, with three projects on Essential; Growth is $495/month for 10 projects. It’s a stronger option if you need multiple AI platforms or expect your client roster to expand, but its project and prompt limits matter. 911
- Semrush AI Visibility Toolkit — Best if your agency already uses Semrush or wants AI visibility alongside SEO tools. The standalone toolkit is $99/month per domain, with 25 tracked prompts—so costs can add up across several clients. Semrush’s broader subscriptions include multiple websites, but AI visibility domain and prompt limits still need checking. 64
- Profound — Better suited to larger clients or higher-value retainers; its agency-focused offering may become expensive when you need a separate paid workspace for each client. 511
Bottom line: Start by comparing OtterlyAI Standard and Peec AI Essential against your actual needs: number of clients, prompts per client, AI engines, and whether clients need their own report access. For a small agency prioritizing low overhead and client separation, I’d trial OtterlyAI first; choose Peec if its project capacity and platform coverage justify the higher starting price. These are vendor and industry-reported prices, so confirm them directly before budgeting. 91114
Edition 1 · 29 October 2026 · perplexity/sonar
Recommended Otterly.ai Standard, Peec AI, Semrush AI Visibility Toolkit, Otterly Lite
My default pick: Otterly.ai Standard for a small agency with several clients. The key advantage is that its Standard plan is reported at $189/month with unlimited workspaces—useful when you want separate client projects without buying a subscription for each brand. It tracks several major AI search surfaces and supports Looker Studio reporting. Check the current prompt limits and reporting options before signing up, since agency features and plan details can change. 911
A few alternatives, depending on your priorities:
- Peec AI — worth comparing if you want broader AI-platform coverage and expect to scale. Agency-oriented plans are reported to start around $245/month, with higher tiers for more tracking capacity. 12
- Semrush AI Visibility Toolkit — a good fit if your agency already uses Semrush and wants AI visibility alongside traditional SEO. The reported price is $99/month per domain, which can add up across several clients. 12
- Otterly Lite — a low-cost way to test the workflow, reported at $29/month, but its limited prompt allowance may be too restrictive for routine multi-client reporting. 11
Bottom line: Start by trialing Otterly Standard if client separation and predictable agency use matter most. Compare it with Peec if you need more room to scale, and verify each vendor’s current project, prompt, AI-engine, and white-label limits directly—the published comparisons differ on some plan details. 91112
Which GEO tool is best for SaaS companies? Perplexity · 50.0% in common
Edition 0 · 28 October 2026 · perplexity/sonar
Recommended Peec AI, Profound, Scrunch, Otterly.AI
For most SaaS companies, Peec AI is a strong default choice if your main goal is to track brand visibility, citations, and competitors across AI answers. It’s positioned for SaaS and B2B marketing teams, with a more self-serve, mid-market fit than enterprise-focused platforms. 25
Choose based on what you need:
- Peec AI — best starting point for practical visibility and competitor tracking. 25
- Profound — better for larger SaaS teams that need deeper analytics, broader reporting, and enterprise workflows. 12
- Scrunch — worth considering if your key problem is making your site’s content more accessible to AI crawlers, not just measuring mentions. 2
- Otterly.AI — a budget-conscious option for basic monitoring. 12
Bottom line: Start with Peec AI for a typical SaaS marketing team; choose Profound for enterprise-level analytics, or Scrunch for technical AI-crawler readiness. Pricing and feature limits vary by plan, so confirm current details before deciding.
Edition 1 · 29 October 2026 · perplexity/sonar
Recommended Peec AI, Profound, Otterly.AI, Semrush, Ahrefs
For most SaaS companies, Peec AI is a good default starting point: it focuses on tracking AI visibility and competitor mentions, which helps teams see whether their product appears in the category and comparison prompts buyers use. A recent SaaS-focused comparison lists it as a straightforward option for AI visibility and competitor tracking 2.
Choose based on what you need:
- Peec AI: a practical starting point for monitoring brand mentions and competitors 2.
- Profound: consider it for enterprise-scale reporting and workflows 2.
- OtterlyAI: consider it if budget is the main constraint 4.
- Semrush or Ahrefs: consider their AI visibility features if your team already uses those SEO platforms 4.
There isn’t a universal winner: GEO-tool comparisons vary in their rankings and reported pricing. Before committing, trial your shortlist against the prompts your buyers actually search—such as “best [category] software” and “[your product] vs. [competitor]”—and check whether the tool tracks the AI platforms and citations that matter to you. 210
4Changes
No changes recorded for Perplexity yet. Events appear here as soon as any are recorded: the register reads each provider's model list every day, the model each answer reports, and how the answers behave.
5Perplexity's model list
54 listed, read daily from GET https://api.perplexity.ai/v1/models since 29 October 2026. Models already listed on the first day are the baseline, not new. Lifecycle dates are shown only where the list itself gives them.
All 54 models
| Model | First seen | Lifecycle | Status |
|---|---|---|---|
| anthropic/claude-fable-5 | 29 October 2026 | – | listed |
| anthropic/claude-fable-5-1 | 29 October 2026 | – | listed |
| anthropic/claude-haiku-4-5 | 29 October 2026 | – | listed |
| anthropic/claude-haiku-5-5 | 29 October 2026 | – | listed |
| anthropic/claude-opus-4-5 | 29 October 2026 | – | listed |
| anthropic/claude-opus-4-6 | 29 October 2026 | – | listed |
| anthropic/claude-opus-4-7 | 29 October 2026 | – | listed |
| anthropic/claude-opus-4-8 | 29 October 2026 | – | listed |
| anthropic/claude-opus-5 | 29 October 2026 | – | listed |
| anthropic/claude-opus-5-5 | 29 October 2026 | – | listed |
| anthropic/claude-sonnet-4-5 | 29 October 2026 | – | listed |
| anthropic/claude-sonnet-4-6 | 29 October 2026 | – | listed |
| anthropic/claude-sonnet-5 | 29 October 2026 | – | listed |
| anthropic/claude-sonnet-5-5 | 29 October 2026 | – | listed |
| google/gemini-3-flash-preview | 29 October 2026 | – | listed |
| google/gemini-3.1-flash-lite | 29 October 2026 | – | listed |
| google/gemini-3.1-pro-preview | 29 October 2026 | – | listed |
| google/gemini-3.5-flash | 29 October 2026 | – | listed |
| google/gemini-3.5-flash-lite | 29 October 2026 | – | listed |
| google/gemini-3.6-flash | 29 October 2026 | – | listed |
| google/gemini-3.7-flash | 29 October 2026 | – | listed |
| google/gemini-3.8-flash | 29 October 2026 | – | listed |
| google/gemini-4-argon | 29 October 2026 | – | listed |
| openai/gpt-5 | 29 October 2026 | – | listed |
| openai/gpt-5-mini | 29 October 2026 | – | listed |
| openai/gpt-5-nano | 29 October 2026 | – | listed |
| openai/gpt-5.1 | 29 October 2026 | – | listed |
| openai/gpt-5.2 | 29 October 2026 | – | listed |
| openai/gpt-5.3-codex | 29 October 2026 | – | listed |
| openai/gpt-5.4 | 29 October 2026 | – | listed |
| openai/gpt-5.4-mini | 29 October 2026 | – | listed |
| openai/gpt-5.4-nano | 29 October 2026 | – | listed |
| openai/gpt-5.5 | 29 October 2026 | – | listed |
| openai/gpt-5.6-luna | 29 October 2026 | – | listed |
| openai/gpt-5.6-sol | 29 October 2026 | – | listed |
| openai/gpt-5.6-terra | 29 October 2026 | – | listed |
| openai/gpt-6-astra | 29 October 2026 | – | listed |
| openai/gpt-6-luna | 29 October 2026 | – | listed |
| openai/gpt-6-sol | 29 October 2026 | – | listed |
| openai/gpt-6.1-sol | 29 October 2026 | – | listed |
| openai/gpt-6.1-terra | 29 October 2026 | – | listed |
| perplexity/deepseek-v4-pro-0813 | 29 October 2026 | – | listed |
| perplexity/glm-5.3 | 29 October 2026 | – | listed |
| perplexity/glm-5.3-flash | 29 October 2026 | – | listed |
| perplexity/kimi-k3 | 29 October 2026 | – | listed |
| perplexity/nemotron-3.5-super-120b-a12b | 29 October 2026 | – | listed |
| perplexity/sonar | 29 October 2026 | – | listed |
| xai/grok-4.20-multi-agent | 29 October 2026 | – | listed |
| xai/grok-4.20-non-reasoning | 29 October 2026 | – | listed |
| xai/grok-4.20-reasoning | 29 October 2026 | – | listed |
| xai/grok-4.3 | 29 October 2026 | – | listed |
| xai/grok-4.5 | 29 October 2026 | – | listed |
| xai/grok-4.6 | 29 October 2026 | – | listed |
| xai/grok-4.7 | 29 October 2026 | – | listed |