Best AI avatar tools for sales teams (2026): What ChatGPT, Claude & Gemini Recommend

HeyGen is the AI avatar video tool that AI models name first for talking-head videos. It was named in 50 of 50 recorded answers and named first in 46 of 50. Synthesia was also named in all 50 answers, but first in only 2. Colossyan, D-ID and Tavus complete the top five.

The ranking counts which products ten AI models name, and says who each named tool suits.

TL;DR

• Start a talking-head shortlist with HeyGen. It is the measured leader for all ten models and all four model families.
• Treat Synthesia as the training specialist, not a weak second. The answers file it under enterprise training and compliance.
• Colossyan is the learning-first third pick, and the Anthropic models name it in every answer.
• Real-time and developer avatars point to D-ID and Tavus, but which of the two a buyer sees depends on the assistant asked.
• Below fifth place, no tool reaches more than 12 of 50 answers. Treat those names as niche options to test, not defaults.

1. HeyGen

Pick HeyGen if you want the talking-head tool AI answers put forward by default for marketing, sales and multilingual presenter video.

Measured: named 50 of 50 (HeyGen 100%), first 46 of 50 (HeyGen 92%), average position 1.1.

HeyGen is the measured leader for all ten models and all four model families. The answers treat it as the general-purpose default: marketing clips, sales outreach, explainers and custom digital twins. Claude put it plainly: “HeyGen is generally regarded as the top all-rounder.”

HeyGen’s own talking-head page says a user can create a digital twin from a portrait or a short clip of themselves. The same page offers translated versions of one video with matched mouth movement.

One caution sits in the citations, not the counts. heygen.com supplied 100 citations in the recorded answers, second only to youtube.com at 111. Part of the praise a buyer reads in an AI answer is the vendor’s own description, repeated.

Pros

• Top of the count for all ten models and all four families
• Builds a digital twin from an uploaded portrait or short clip
• Free plan available before paying
• Localises one video into other languages with matched mouth movement

Cons

• Less automated for large-scale training libraries, a con in Leadde’s HeyGen entry
• Manual setup required for advanced custom scenes, another con Leadde gives HeyGen
• heygen.com is the second-largest citation source behind the answers

Pricing: free plan, with paid plans from $24 per month on HeyGen’s talking-head page.

Best for: marketing, sales and multilingual presenter video, and custom digital twins.

2. Synthesia

Pick Synthesia if the video is corporate training, internal communications or compliance content and enterprise controls matter more than creator features.

Measured: named 50 of 50 (Synthesia 100%), first 2 of 50 (Synthesia 4%), average position 2.

Synthesia appears in every answer and almost always second. That is a division of labour, not a weak runner-up. The answers name HeyGen as the default and then give Synthesia the training and enterprise branch, which puts it second by construction. Sonar Reasoning Pro, for one, calls it the better option for structured enterprise training or compliance-heavy content.

Leadde’s vendor-written list labels Synthesia the pick for enterprise-grade talking-head avatar videos, with enterprise-ready workflows and brand controls.

Pros

• Named by every model in every answer
• Leadde credits Synthesia with strong language coverage for global teams
• Its best use cases, per Leadde, include corporate training and compliance content

Cons

• Put first in only 2 of 50 answers
• Higher pricing than lighter tools, in Leadde’s list of Synthesia’s cons
• Synthesia is primarily focused on presenter videos only, per Leadde

Pricing: Leadde lists Synthesia on paid plans with enterprise-oriented tiers.

Best for: corporate training, internal updates and compliance content.

3. Colossyan

Pick Colossyan if you build structured courses with quizzes or interactive elements and want the tool the answers treat as learning-first.

Measured: named 36 of 50 (Colossyan 72%), first 0 of 50 (Colossyan 0%), average position 3.78.

Colossyan is the clear third choice, and its support depends on the model family. The Anthropic models name it in every answer (Colossyan 100% of Anthropic answers). Sonar Reasoning Pro names it in 1 of 5 and Gemini 3.5 Flash in 2 of 5. GPT-5.6 Sol’s comparison answer files it as the pick for training and interactive learning.

Leadde describes Colossyan as an AI avatar platform designed around structured learning content, quizzes and instructional workflows.

That matches the slot the models give it. Its gap of 72 points between named and named first is the widest on the sheet after Synthesia. The models know it well and never lead with it.

Pros

• Every Anthropic answer names it (Colossyan 100%)
• Supports interactive learning elements, a pro in Leadde’s Colossyan entry
• Five of five answers from GPT-5.6 Luna

Cons

• Zero first-place mentions
• Just 1 of 5 Sonar Reasoning Pro answers
• Less flexibility for marketing-style visuals, a con in Leadde’s Colossyan entry
• Avatar selection smaller than some competitors, Leadde says of Colossyan

Pricing: Leadde lists Colossyan on paid plans with education-focused tiers.

Best for: online courses, internal training modules and tutorials.

4. D-ID

Pick D-ID if you need avatars driven through an API or a conversational agent rather than a finished presenter video.

Measured: named 32 of 50 (D-ID 64%), first 2 of 50 (D-ID 4%), average position 4.13.

D-ID is one of only three tools any model named first. Its support is sharply polarised. Claude Opus 5, Claude, Claude Fable 5 and Perplexity name it in all five answers. ChatGPT and Sonar Reasoning Pro never name it.

The OpenAI models give it a specific job. GPT-5.6 Sol’s comparison answer lists it for APIs and conversational avatars. GPT-5.6 Luna groups it with Tavus: “Best for real-time avatars and developers: Tavus or D-ID”. No captured page describes D-ID directly, so its record here is the recorded answers alone. Claude Opus 5 also noted that D-ID’s own blog ranks D-ID best.

Pros

• One of three tools ever named first
• Every answer from four models, three of them Anthropic
• Filed under APIs and conversational avatars by GPT-5.6 Sol

Cons

• Absent from all ChatGPT and Sonar Reasoning Pro answers
• No captured page or public pricing on record

Pricing: no public pricing is recorded.

Best for: developer-built and conversational avatar products.

5. Tavus

Pick Tavus if you are building real-time or developer-embedded avatars and your buyers use OpenAI models.

Measured: named 15 of 50 (Tavus 30%), first 0 of 50 (Tavus 0%), average position 4.

Tavus is an OpenAI-family name (Tavus 80% of OpenAI answers). GPT-5.6 Luna names it in all five answers and GPT-5.6 Sol in four. Claude Opus 5, Gemini 3.5 Flash, Perplexity and Sonar Reasoning Pro never name it. Ask a different family the same question and Tavus mostly disappears.

When it does appear, it sits beside D-ID in the real-time and developer slot, not in the presenter-video slot HeyGen and Synthesia hold. ChatGPT’s answers cite tavus.io pages, including its pricing page, but no captured page records the price. A buyer who found Tavus through ChatGPT should know that most other assistants would not have raised it.

Pros

• Tavus 80% across OpenAI-family answers
• All five GPT-5.6 Luna answers include it
• Grouped with D-ID as a real-time, developer-facing option

Cons

• Zero mentions from four of the ten models
• Never placed first
• No public pricing is recorded

Pricing: no public pricing is recorded.

Best for: real-time and developer-built avatars.

6. Creatify

Pick Creatify if your talking-head video is paid social advertising and your buyers use Gemini or Claude Opus 5.

Measured: named 12 of 50 (Creatify 24%), first 0 of 50 (Creatify 0%), average position 4.42.

Creatify has no OpenAI support at all. GPT-5.6 Sol, ChatGPT and GPT-5.6 Luna never name it. Gemini 3.5 Flash names it in four of five answers and Claude Opus 5 in three. The Google models name it more often than any other family does (Creatify 60% of Google answers). Sonar Reasoning Pro’s comparison answer places it with performance ads.

Its own site is a live source for the models. creatify.ai supplied 28 citations, and Claude Opus 5 and Claude Fable 5 both cited its best-of blog. That blog is vendor-written, so part of Creatify’s presence comes from its own publishing.

Pros

• Four of five Gemini 3.5 Flash answers
• creatify.ai counts 28 citations, a vendor-owned source the models read
• Placed with performance ads by Sonar Reasoning Pro

Cons

• Missing from every OpenAI answer
• No first-place mention and no recorded pricing

Pricing: no public pricing is recorded.

Best for: performance and paid social ad video.

7. DeepBrain AI

Pick DeepBrain AI if you want a broadcast-style digital presenter and will test a tool the models name thinly but across families.

Measured: named 12 of 50 (DeepBrain AI 24%), first 0 of 50 (DeepBrain AI 0%), average position 5.5.

DeepBrain AI ties Creatify on count and trails it on position. The shape of its support is the opposite. No model names it more than twice in five answers, but it reaches Anthropic, OpenAI and Perplexity models alike. Both Gemini models and GPT-5.6 Sol never name it.

GPT-5.6 Luna’s comparison answer files it under broadcast-style digital humans. Perplexity’s comparison answer lists DeepBrain AI Studios among the tools that are strong depending on use case. Its best family share comes from Perplexity (DeepBrain AI 40% of Perplexity answers). It tends to appear late in a list, after the leaders are covered.

Pros

• Named by both Perplexity models, twice each
• Labelled for broadcast-style digital humans by GPT-5.6 Luna
• DeepBrain AI 40% of Perplexity-family answers

Cons

• Absent from both Gemini models
• Average position 5.5, late in most lists

Pricing: no public pricing is recorded.

Best for: broadcast-style digital presenters.

8. Captions

Pick Captions if you are a social-first creator who wants avatar clips inside an editing app, and you ask OpenAI models or Gemini 3.5 Flash.

Measured: named 10 of 50 (Captions 20%), first 0 of 50 (Captions 0%), average position 4.

Captions is invisible to Anthropic and Perplexity. None of their answers name it. Its support comes from the OpenAI models (Captions 46.7% of OpenAI answers) and from Gemini 3.5 Flash in three of five answers. When it appears, it appears early.

ChatGPT’s comparison answer put it third in its shortlist, for social-first creators who also want AI editing, captions, dubbing and quick avatar clips. GPT-5.6 Luna pairs it with Argil for short-form UGC ads. Both descriptions come from the recorded answers. No captured page covers Captions, and no price is recorded.

Pros

• Captions 46.7% of OpenAI-family answers
• Placed third in ChatGPT’s comparison shortlist
• Three of five Gemini 3.5 Flash answers

Cons

• Zero from Anthropic and Perplexity models
• Never first in any answer

Pricing: no public pricing is recorded.

Best for: social-first creators making short avatar clips.

9. Veed

Pick Veed as the alternative to Captions if your buyers use Claude or Gemini, because those models name it and the OpenAI models never do.

Measured: named 10 of 50 (Veed 20%), first 0 of 50 (Veed 0%), average position 5.4.

Veed and Captions share a count and split the panel between them. Veed draws its mentions from Claude Fable 5 and Gemini 3.5 Flash, three each, and from Claude twice. No OpenAI model names it. Captions is the reverse, with no Anthropic support.

Only Gemini 3.5 Flash names both. Every other model shows a buyer at most one of the two, the clearest case in the panel of the model choice deciding the shortlist. Perplexity’s comparison answer lists VEED among the options that are strong depending on use case. No captured page describes the product, so the counts are the whole record.

Pros

• Three of five answers each from Claude Fable 5 and Gemini 3.5 Flash
• Listed by Perplexity’s comparison answer as a use-case option

Cons

• Absent from all three OpenAI models
• Average position 5.4
• Nothing on record beyond the counts

Pricing: no public pricing is recorded.

Best for: buyers comparing social video editors with avatar features.

10. Hedra

Pick Hedra if you want lighter photo-to-video animation and accept a tool the models mention in passing.

Measured: named 8 of 50 (Hedra 16%), first 0 of 50 (Hedra 0%), average position 4.25.

Hedra is spread across the panel but never deep in it. Most models name it once or not at all. Sonar Reasoning Pro names it twice (Hedra 40% of that model’s answers). GPT-5.6 Sol, Claude and Gemini 3.5 Flash never name it.

Sonar Reasoning Pro’s comparison groups it with D-ID for lighter animation or real-time agents. hedra.com supplied 14 citations, which makes it one of five vendor-owned hosts in the source list. The models read Hedra’s own pages even when they rarely name the product.

Pros

• Hedra 40% of Sonar Reasoning Pro answers
• hedra.com is a cited source, with 14 citations
• Average position 4.25 when named

Cons

• Zero first-place mentions across 50 answers
• One mention or none from nine of the ten models

Pricing: no public pricing is recorded.

Best for: light photo-to-video animation.

11. Elai

Pick Elai only as a trial candidate if the leaders do not fit your job, because the models name it rarely and late.

Measured: named 7 of 50 (Elai 14%), first 0 of 50 (Elai 0%), average position 6.43.

Only Kling and Argil sit later on average than Elai. Claude and Gemini name it twice each, GPT-5.6 Luna, Claude Fable 5 and Perplexity once each. GPT-5.6 Sol, ChatGPT, Claude Opus 5, Gemini 3.5 Flash and Sonar Reasoning Pro never name it.

Perplexity’s comparison answer lists it with DeepBrain AI Studios and VEED as strong depending on use case. When Elai appears, it tends to sit near the end of long lists. No captured page covers Elai and no price is recorded, so a buyer has nothing here beyond its presence.

Pros

• Two of five answers each from Claude and Gemini
• Named in Perplexity’s comparison alongside DeepBrain AI and Veed

Cons

• Average position 6.43
• Five of the ten models never name it

Pricing: no public pricing is recorded.

Best for: a second-round trial when the top five do not fit.

12. Kling

Pick Kling if you want motion-controlled avatar clips from a general video model, and accept that only Claude models suggest it.

Measured: named 5 of 50 (Kling 10%), first 0 of 50 (Kling 0%), average position 6.8.

Kling is an Anthropic-only mention. Claude Opus 5 and Claude Fable 5 name it twice each and Claude once. No other model names it. It also sits deepest on average of any named tool.

The captured record frames Kling as a general video model more than an avatar tool. The Tao Prompts tutorial gives it a chapter on avatars with motion control. VisionStory runs Kling as an external model beside its own talking-video model, billed per second of output.

Pros

• Covered in a captured tutorial for avatars with motion control
• Available through VisionStory as an external video model
• Claude Opus 5 and Claude Fable 5 name it twice each

Cons

• Anthropic models supply every mention
• Average position 6.8, the deepest on the sheet

Pricing: no public pricing is recorded.

Best for: motion-controlled clips from a general video model.

13. Runway

Consider Runway only if a Claude model raised it for your project, because no other model names it for talking-head avatars.

Measured: named 4 of 50 (Runway 8%), first 0 of 50 (Runway 0%), average position 5.75.

Runway’s mentions come from two models, Claude Opus 5 and Claude Fable 5, twice each. The other eight models never name it. That is the narrowest spread of any tool named four times or more.

For a buyer, that makes Runway a model-specific echo rather than a panel-wide signal. If your audience asks those two Claude models, expect to see it. If they ask anything else, expect not to. No captured page describes Runway and no price is recorded, so the counts are the whole record.

Pros

• Two of five answers each from Claude Opus 5 and Claude Fable 5
• Average position 5.75, earlier than Elai, Kling and Argil

Cons

• Eight of the ten models never name it
• Neither a captured page nor pricing on record

Pricing: no public pricing is recorded.

Best for: buyers already working with Claude-suggested general video tools.

14. Higgsfield

Pick Higgsfield for the image step, making the realistic still that another tool then animates, rather than as your talking-head tool.

Measured: named 3 of 50 (Higgsfield 6%), first 0 of 50 (Higgsfield 0%), average position 5.

Higgsfield’s mentions come from three different families: Claude, Gemini and Sonar Reasoning Pro, once each. The captured tutorial explains the odd position.

In the Tao Prompts video, the avatar images are made in Higgsfield, and HeyGen is the tool that makes them talk.

So Higgsfield feeds a talking-head workflow without being the talking-head tool. That fits a low count on a question about talking-head video. A buyer who needs the presenter to speak still needs a second product.

Pros

• Mentions from three model families, one each
• Tao Prompts makes its avatar images in Higgsfield

Cons

• Only 3 of 50 answers
• In that tutorial, the talking step happens in HeyGen, not Higgsfield

Pricing: no public pricing is recorded.

Best for: generating the presenter image before animation.

15. Argil

Pick Argil if you make short-form UGC-style ads and want an alternative to Captions that OpenAI models occasionally raise.

Measured: named 2 of 50 (Argil 4%), first 0 of 50 (Argil 0%), average position 6.5.

Argil is the least-named tool on the list. GPT-5.6 Sol and GPT-5.6 Luna name it once each, and no other model names it. GPT-5.6 Luna’s comparison answer pairs it with Captions for short-form UGC ads, which is the clearest statement of what the models think it is for.

With two mentions, one comparison slot and no captured page, Argil is a name to check rather than a shortlist entry backed by breadth. It sits near the end of the lists it appears in. No price is recorded.

Pros

• Grouped with Captions for short-form UGC ads by GPT-5.6 Luna
• Both mentions come from OpenAI models, GPT-5.6 Sol and GPT-5.6 Luna

Cons

• Lowest count on the sheet, 2 of 50
• Unmentioned by Anthropic, Google and Perplexity models

Pricing: no public pricing is recorded.

Best for: short-form UGC-style ads.

How do the tools compare?

HeyGen leads, and Synthesia is the only other tool every answer names. The table counts how often each tool appears in AI answers.

The category itself is simple. AI avatars are digital presenters that deliver scripted content in video format, without cameras, actors or studios.

The pattern below the leader has three tiers. HeyGen and Synthesia are named in every answer. Colossyan and D-ID follow at 36 and 32 of 50. Everything else sits at 15 of 50 or fewer, a long tail of tools that most answers leave out.

Only three tools were ever named first: HeyGen, Synthesia and D-ID. Descript was tracked and never named, so it carries no row. The full category record sits on the AI avatar video index.

Where do the models disagree?

The models agree on the top two and split on almost everything below. All ten name HeyGen and Synthesia in every answer, and HeyGen is the measured leader for every model. The disagreement starts at third place.

Colossyan and D-ID are Anthropic favourites. Claude Opus 5, Claude and Claude Fable 5 name both in all five answers. Sonar Reasoning Pro names Colossyan once and D-ID never, and ChatGPT never names D-ID either.

Tavus runs the other way. The OpenAI models carry it, with GPT-5.6 Luna at five of five, while Claude Opus 5 and both Perplexity models never name it. Captions follows the same OpenAI line. Veed takes the Anthropic side instead, and only Gemini 3.5 Flash names both social video tools.

Creatify leans on Google, with Gemini 3.5 Flash at four of five and no OpenAI mentions. Kling and Runway appear only in Anthropic answers.

For a buyer, the assistant their own customers use decides which mid-table names those customers see.

Why is Synthesia named every time but almost never first?

Because the answers treat Synthesia as the specialist for a different job, not as HeyGen’s rival for the general question. Named first measures which tool an answer opens with. It does not measure which tool fits a given job.

The recorded answers follow one structure. They name a default, then list the exceptions. HeyGen is the default. Synthesia is the first exception, and the exception named is training. ChatGPT’s comparison answer sets it out directly, placing Synthesia as “best for enterprise training, internal communications, compliance, and controlled brand workflows”. Perplexity and Sonar Reasoning Pro answers both open with HeyGen and then name Synthesia as the better fit if the work is enterprise training.

The one question in the set that names a job shows the flip. Asked about sales and training videos, Claude Opus 5 opened its short answer with Synthesia as the “best default pick for training/L&D”. Named first follows the framing of the question.

Only one of the five questions names a use case. So the named-first count mostly records the answer to a general question, and the general answer is HeyGen. Synthesia’s gap of 96 points between named and named first is therefore a measure of how the answers are organised, not a verdict against the product. Colossyan shows the same shape at a smaller scale.

For a training buyer, the relevant number for Synthesia is 50 of 50. The 2 of 50 describes the general question, not theirs.

How was the sample built?

The sample is 10 models x 5 fixed prompts = 50 recorded answers, one answer per model and question, in the 2026-09 edition. The five questions, verbatim:

1. What is the best AI avatar video tool for talking-head videos? Name specific products.
2. Which AI avatar video tool would you recommend to talking-head videos in 2026?
3. Compare the top AI avatar video tool options right now.
4. I’m talking-head videos and I need an AI avatar video tool. What should I use and why?
5. Best AI avatar video tool for talking-head videos for sales and training videos?

The ten models fall into four families. OpenAI supplies GPT-5.6 Sol, ChatGPT and GPT-5.6 Luna, for 15 answers. Anthropic supplies Claude Opus 5, Claude and Claude Fable 5, for 15 answers. Google supplies Gemini and Gemini 3.5 Flash, for 10 answers. Perplexity supplies Perplexity and Sonar Reasoning Pro, for 10 answers.

The panel tracked 16 vendors and 15 were named. A tool counts as named when it appears in an answer, and named first when it appears before any other tracked tool. The full procedure is on the method page.

How do the ranking AI avatar guides compare?

The pages that rank for this question sell or teach a tool. The counts here record which tools AI answers name. Four ranking pages were read in full.

The Tao Prompts YouTube tutorial has chapters on talking avatars in HeyGen, Dzine and Kling, and says its avatar images were made in Higgsfield.

Its creator calls HeyGen the most well-rounded AI avatar tool, in his opinion.

The video description links to HeyGen and Dzine with referral parameters in the URLs.

HeyGen’s AI talking head page is the vendor’s own product page. It describes features and use cases and makes its own performance claims, with no comparison to other tools.

VisionStory’s homepage promotes its own V-Character talking-video model and offers outside models such as Kling. It is a product page, not a comparison.

Leadde’s list, “6 Best AI Avatar Tools for Video Creation in 2026”, is written by the Leadde Team.

Its first entry is Leadde itself, labelled best for scalable AI avatar training and explainer videos.

Leadde says its evaluation considered avatar realism and lip-sync quality, video output quality, language and voice options, customisation and branding, and pricing.

Its use-case section picks HeyGen for marketing videos, Colossyan for education and courses, and UneeQ for interactive experiences.

A Reddit thread in the results could not be read, and a Synthesia tool page and a Zeely comparison appeared only as search snippets. None of them is described here beyond that.

The recorded answers flag the same problem. Claude Opus 5 warned that “most of the “best AI avatar tool” articles out there are published by the tool vendors themselves.” Those guides rank products for purchase, and each of the four readable pages is either written by a vendor or links to vendors with referral parameters. What none of them carries is a count across ten models, the per-model split, and which tools each model family leaves out.

What can these counts not tell you?

Visibility is in scope and product quality is not. The counts measure how often AI answers name a tool. They say nothing about avatar realism, lip-sync, support, uptime or whether a price is fair.

Being named is not being recommended. An answer can name a tool only to set it aside. Each model answered each question once, so one unusual answer moves a count. The run is one dated snapshot, the 2026-09 edition, and the answers may change next month.

Tool names are matched by string aliases, so a product named in an unusual way can be missed. The answers came through model APIs, which can differ from the consumer chat apps. The prompts were in English. No vendor paid to appear, be reordered or be removed.

What should a buyer do with these counts?

Match the job to the slot the answers give it, then test. The counts shortlist. They do not choose.

1. For general presenter, marketing or multilingual video, start with HeyGen.
2. For corporate training, internal communications or compliance, start with Synthesia, and add Colossyan if the course needs quizzes or interactive elements.
3. For real-time or developer-built avatars, look at D-ID and Tavus.
4. For short social clips, compare Captions, Veed and Argil.
5. Read the column in the model split for the assistant your own customers use. Below the top two, that choice changes the names they see.
6. Confirm prices on the vendor’s own pages. HeyGen’s entry price is the only vendor-published price in the captured research.
7. Run your own script through the two tools that fit your job before committing to a plan.

Frequently asked questions

What is the best AI talking head video generator?

By AI answer counts, HeyGen. It is the measured leader for every model in the panel, and the answers name it as the general default. That is a visibility measure. For training video specifically, the answers name Synthesia instead.

Which AI avatar generator for video is the best?

It depends on the video, and the answers split the same way. HeyGen is the default for marketing and presenter video. Synthesia is the training and enterprise pick, Colossyan the interactive-course pick, and D-ID and Tavus the real-time and developer picks. No tool below those five is named in more than 12 of 50 answers.

Which AI tool is best for creating a talking avatar?

For the talking step itself, HeyGen is the tool AI answers put first, far more often than any other.

The Tao Prompts tutorial treats a talking avatar as two jobs: first a high-quality avatar image, then making it talk using lip-sync.

Its chapters cover that talking step in HeyGen, Dzine and Kling.

Does the list look the same in ChatGPT, Claude, Gemini and Perplexity?

Only at the top. Every model names HeyGen and Synthesia in every answer. Below them the lists diverge: Tavus and Captions come mostly from OpenAI models, Colossyan, D-ID, Kling and Runway lean on Anthropic models, and Creatify leans on Google.

Can a vendor pay to appear on this list?

No. No position is sold or sponsored, and vendors cannot pay to appear, be reordered or be removed. The order is the count of names in the recorded answers.

Why is Descript not on the list?

Descript was tracked but never named in any of the 50 recorded answers. A tool that was never named gets no rank and no share.