Mike HeapMike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.
Table of Contents
- What AI can I use to reply in Featurebase?
- How does an AI customer service agent work in Featurebase?
- What are the different ways I can use an AI agent in Featurebase?
- Direct replies
- Copilot replies
- Internal note replies
- Which is easier to setup, Featurebase or My AskAI?
- How do My AskAI and Featurebase differ in what they can be trained on?
- 'Static' content
- 'Dynamic' content
- Which has better answer quality, Featurebase or My AskAI?
- Which AI agent is easier to improve over time: Featurebase or My AskAI?
- Which has more features, Featurebase or My AskAI?
- Is it easy to customize My AskAI and Featurebase?
- What about vendor lock-in?
- Does Featurebase or My AskAI have any other AI features?
- Tagging
- Agent translation
- Help center quick answers
- What about security, is Featurebase more secure than My AskAI?
- Which costs more, Featurebase or My AskAI?
- The pricing model
- The overall cost
- Conclusion - should I choose Featurebase or My AskAI?
- FAQs
Created time
Jul 27, 2026 06:18 PM
Title length (<60)
Author
Last optimised
Ecomm?
Tags
Image
Publish date
Jul 27, 2026
Video
Slug
my-askai-featurebase-comparison-2026
Featured
Type
Article
Ready to Publish
Ready to Publish
Featurebase is a feedback, roadmap and changelog suite that repositioned as a support suite through 2026, adding a unified inbox and Tickets around its Fibi AI agent. My AskAI is an AI agent that installs into the helpdesk you already run: Zendesk, Intercom, Freshdesk, Gorgias or HubSpot. Pick Featurebase if you want one subscription covering feedback boards, roadmap, changelog and support. Pick My AskAI if you want AI answering tickets on your current helpdesk without moving your support team onto a new platform.
If you've got a Featurebase tab open next to this one, check where Fibi can answer. It works in Featurebase's own messenger, email, Help Center and ticket portal, and every one of those is a Featurebase surface.
Switching it on means moving your helpdesk. That decision is far bigger than the $0.49 a resolution sitting on the invoice.
I'm Mike, one of the co-founders of My AskAI, so I have a stake in how this comparison lands. We help 200+ ecommerce and SaaS businesses run AI customer service, and our agents have now resolved more than 1,000,000 tickets between them.
We're also paying Featurebase customers ourselves, which is how I know what their feedback boards are like to live with. Three of the eleven categories below go to them.
What AI can I use to reply in Featurebase?
TL;DR: Inside Featurebase the only AI agent that answers your customers is Fibi, its own. My AskAI is not an option there, because it installs into Zendesk, Intercom, Freshdesk, Gorgias and HubSpot instead.
Featurebase began life as a feedback and roadmap tool: boards where customers post requests, upvoting, a public roadmap, a changelog for shipping updates, and a Help Center. That's the half we pay for. Over 2026 it grew a support inbox, a Tickets product in April, and an AI agent named Fibi to answer the queue.
If you run support on Featurebase, Fibi is your AI. There is no marketplace of third-party agents to choose from, and Featurebase ships no supported way to run a different AI agent in its inbox.
Featurebase publishes integrations with Zendesk, Intercom and HubSpot, but they capture feature requests and bug reports into Featurebase's feedback boards and notify subscribers. None of them lets Fibi answer a ticket in your helpdesk, so I'd file that integration list under feedback capture.
Its own Zendesk integration page describes opening the Featurebase tab inside Zendesk and turning customer requests into tasks in Featurebase. Fibi is never mentioned as answering a ticket in Zendesk, because it doesn't.
We built My AskAI as a dedicated AI support agent you point at your knowledge and then run natively inside Zendesk, Intercom, Freshdesk, Gorgias and HubSpot, or through our own widget on your site. It never replaces the helpdesk it sits in.
Both products review well on G2:
ㅤ | My AskAI | Featurebase |
Rating | 4.5 / 5 | 4.7 / 5 |
Reviews | 21 | 49 |
Reviews page |
How does an AI customer service agent work in Featurebase?
TL;DR: Both read your knowledge, draft an answer and hand off when they can't help. Fibi does it inside Featurebase's own messenger, and My AskAI does it inside the helpdesk inbox your team already works in.
Fibi's setup runs through six screens, documented in Featurebase's own Fibi setup guide: general settings (avatar, name, custom instructions), training data, custom actions backed by your APIs, hand-off settings, auto-close settings, then deploy.
Deployment comes in two modes whose names undersell how far apart they are. Simple Deploy is the quick route: you switch Fibi on without touching Workflows, it runs over the Messenger, and it takes priority if both modes are active (which matters if someone builds a workflow later and wonders why it never fires).
Advanced Deploy uses Workflows to customize Fibi's behavior for branching and routing. It is also the only route to email, since the docs state that "Advanced deploy also allows Fibi to be used over Email."
Email coverage is a workflow you have to build.
The handoff default is sensible, though. Fibi hands a conversation to your team when a customer asks for a human or when it can't resolve the request on its own, and you can turn that off for bot-only operation.
I rate the sources Fibi reads as the best thing about the product. Featurebase's Fibi overview says the agent gets "full context from your entire Featurebase workspace: Help Center articles, customer requests, changelogs, roadmaps, and more", plus past support conversations.
We run the same loop inside the helpdesk you already have. You connect your knowledge, install our approved app in your helpdesk's marketplace, and the agent starts in internal notes mode, so customers see nothing while your team reads its drafts.
When you're happy, you flip it to direct replies. When it can't answer, it hands over to a person with an AI-written summary of the conversation attached, then keeps learning from what your agents actually sent.
What are the different ways I can use an AI agent in Featurebase?
TL;DR: Both do direct replies to customers and both have an agent-side copilot. My AskAI adds internal note replies, which lets you run it silently next to whatever AI you have today and judge it on your own tickets first.
Direct replies
This is the main event for both products. Fibi replies to customers in Featurebase's in-app Messenger, which is the surface Simple Deploy covers, and over email once you've built the Advanced Deploy workflow.
There's also AI search inside the Help Center, plus a customer-facing Ticket Portal where people submit, view and track their own tickets.
Featurebase's support page lists its channels as in-app, Slack (coming soon), emails and messenger widget, while the Tickets page carries Slack in its channel list. Slack is marked coming soon on the support page, so don't build a plan around it yet.
We reply to customers inside the helpdesk you already run, across whatever that helpdesk routes into the inbox: chat, email and the social channels it handles.
Copilot replies
Featurebase has an agent-side AI Copilot that gives your team instant answers from company knowledge, plus AI replies and macros that draft responses in the agent's tone. It's included from Growth upwards at 10 conversations per month free, then $19 per agent per month for unlimited use.
Our copilot is the AI Copilot Chrome Extension. It works inside any of our integrated helpdesks, carries no seat charge, and is included on every plan, so putting it in front of twenty agents costs the same as putting it in front of two.
Internal note replies
This is the mode Featurebase has no answer to. It's also how I'd tell any nervous team to start. We can draft a reply to every single ticket as a private internal note that the customer never sees.
Your agents read the draft, use it or ignore it. You get a fortnight of evidence about answer quality before anything goes live.
It doubles as the safest possible bake-off. If you're already running an AI agent, ours can sit beside it in notes mode and you compare the two on identical tickets.
Featurebase documents no equivalent side-by-side mode. It's the platform, so there's no incumbent inbox for it to shadow.
Which is easier to setup, Featurebase or My AskAI?
TL;DR: Featurebase wins this one. Its AI is native to its own platform, so there's nothing to connect. The expensive part is getting to the starting line, because your support has to be running on Featurebase before Fibi can answer anything.
Featurebase is fully self-serve. You can start on the permanent Free plan or take a trial of the paid features, and the pricing page confirms there's no credit card required either way. Only Enterprise is demo-gated.
The support-side sequence runs: create the workspace, build or migrate your Help Center, install the Messenger widget, configure Fibi. Featurebase advertises automatic migration from other knowledge-base platforms, which takes a chunk of work off the pile if your articles live somewhere else today.
I don't think either qualifier cancels the win. The Free plan has no AI at all, so Fibi can only be evaluated on a trial or a paid plan.
And Fibi's quality is gated on your documentation: Featurebase's docs say the agent relies strongly on your Help Center for helping customers, so a team without written articles has to write them first.
If you have no help center and no appetite to write one from a standing start, we can train on your past resolved tickets instead (5,000 by default, more on request).
We draft the starter knowledge for you out of how your team has already answered. You get a working agent out of the conversations you've been having anyway.
On our side the extra work is the connect step: sign up with a business email, connect your knowledge sources, install our app from your helpdesk's marketplace. That's 10 to 15 minutes with no developer, and a team switching from an existing AI agent can be running side by side inside a day.
Our free trial is 30 days with every feature unlocked, unlimited tickets and no card. So you can measure the thing on real volume before anyone signs off a budget.
Featurebase publishes no time-to-value claim anywhere, no "live in five minutes" headline and no documented setup duration, so word-on-the-street (reviewers reporting easy setup) is all we have to go on. Even so, native beats third-party on raw switch-on effort, and the category is theirs.
How do My AskAI and Featurebase differ in what they can be trained on?
TL;DR: Fibi is strongest on Featurebase's own surfaces, including live roadmap and changelog state, which is a real capability we don't have. My AskAI reads a much wider set of external sources: Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce and Shopify.
'Static' content
Featurebase manages training at Dashboard, then Automations, then Training Data, and its custom training docs lay out four source types. Your Featurebase workspace is ingested automatically, and you can crawl an external website with include and exclude path rules, or fetch a comma-separated list of single URLs.
You can also write custom Q&A snippets, described as small sources of information that aren't publicly available to customers and are only used to improve AI answer quality and coverage. And you can upload files, with the docs saying "You can upload most document types, such as PDF, Word, Text files, and more", kept private from customers.
Featurebase doesn't document file-size limits, source-count caps, storage limits or website recrawl cadence, so I'd ask them directly if you have a large library.
We read a wider spread of places where knowledge lives: Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce knowledge pages, plus the Zendesk, Intercom and Freshdesk help centers, including articles behind a login.
Add website sync, direct PDF and DOCX upload, Custom Answers for question-and-answer pairs returned word for word, and historic ticket training on 5,000 past tickets by default. Any connected file or page can be marked private, so the agent answers your team internally and never reaches a customer.
'Dynamic' content
Featurebase reaches live systems through custom actions backed by your APIs, configured during Fibi's setup, which covers the usual order-lookup and account-lookup jobs.
If I were selling Featurebase, I'd lead on the roadmap and the changelog.
Because they live in the same database as the support agent, Fibi can answer "is this shipped, planned, or a known bug?" straight from live product state. A FAQ article somebody last touched in March can't do that.
A G2 reviewer put it well:
"Fibi (their support agent) sources its answers from all of those surfaces together, so the chatbot actually knows what users are asking about instead of just pulling from help docs." — Rishikesh R., Growth Lead, G2
We have no equivalent. If half your inbound is "when is X coming", that's a strong argument for Featurebase.
On our side, live data comes through Tools running inside Tasks, our User Data API for reads against your own back end, and a pre-built Shopify connector for products, orders and customer records.
Source type | My AskAI | Featurebase |
Help center / knowledge base | ✅ (Zendesk, Intercom, Freshdesk, including behind-login articles) | ✅ (its own Help Center, automatic) |
Past support tickets | ✅ (5,000 by default) | ✅ (past support conversations) |
Public website crawl | ✅ | ✅ (path include/exclude, or single URLs) |
File upload (PDF / DOCX) | ✅ | ✅ (PDF, Word, Text and more) |
Custom Q&A pairs | ✅ (Custom Answers, returned verbatim) | ✅ (Q&A snippets, customer-invisible) |
Notion | ✅ | ❌ |
Confluence | ✅ | ❌ |
Google Drive | ✅ | ❌ |
OneDrive / Dropbox / SharePoint | ✅ | ❌ |
Salesforce | ✅ (knowledge pages) | ❌ |
Shopify (products, orders, customer data) | ✅ (pre-built connector) | ❌ |
Live back-end data via API | ✅ (User Data API and Tools) | ✅ (custom actions) |
Product roadmap state | ❌ | ✅ (live, same database) |
Changelog / release state | ❌ | ✅ (live, same database) |
Community / feedback-board posts | ❌ | ✅ (feedback portal, automatic) |
Mark a source internal-only | ✅ (Private mode) | ✅ (Help Center article access controls) |
Which has better answer quality, Featurebase or My AskAI?
TL;DR: Featurebase publishes a self-measured 65% resolution rate across its workspaces. Read it as a vendor's own number on a metric it defines itself, sitting just under where the field sits. It isn't a score you can line up against anyone else's.
Featurebase publishes a fleet-wide number, which most vendors in this category won't. The Fibi 3.0 entry in its changelog, dated 18 June 2026, states that Fibi's resolution rate "increased from 50% to 65% across all customer workspaces".
The same entry reports the agent responding around 4x faster to complex queries and 2x faster to regular ones.
The 65% is an average across all customer workspaces (a far harder number to publish than a hand-picked best customer), and it isn't dressed up with an "up to". The marketing pages sit below it too, with the Help Center page claiming AI search will resolve over 60% of questions instantly.
The number is self-measured and self-published, with no independent audit or third-party benchmark behind it.
Featurebase publishes no methodology either, so there's no stated definition of whether a resolution requires customer confirmation, a satisfaction signal, or simply no escalation inside some window. And the customer base skews to product-led SaaS companies with good documentation, which is the easiest possible ground for an AI agent.
Our own AI resolution-rate benchmarks put the median at 70% across 195 rated deployments spanning 38 vendors. I'd hold that median in mind as the neighborhood any single vendor figure sits in.
The dataset also shows the label moving the number more than capability does: deployments reporting "resolution" median 72.5% while ones reporting "automation" median 61%, which is the same work described two ways. Published vendor figures are marketing wins by definition, so the true field average almost certainly sits below the published median.
Set against that, Featurebase's 65% is a credible number on a metric whose definition they don't publish. I'd read it as directional rather than comparable, so this category is a tie.
Our own definition is narrow, so you can hold us to the same bar. A conversation is resolved when the AI handled it without escalating to a human.
We don't claim to know the customer's problem was truly solved unless they say so. We keep escalation deliberately easy to reach, which is what stops the number flattering us.
Featurebase's own customer proof on the AI side is two vendor-published founder testimonials, both on its support page: SocialBu's Umar Khan saying "Featurebase solves more than 80% of our support queries with AI", and Voxiplan's CMO saying the bot "handles more than 60% of our support requests without needing a human agent to step in".
A G2 reviewer records the ordinary experience:
"As with most ai agents, sometimes the ai agent gives answers that aren't accurate. I have to follow up with customers manually to correct them." — Praveen P., Founder, G2
Which AI agent is easier to improve over time: Featurebase or My AskAI?
TL;DR: Featurebase gives you the standard loop of editing docs and correcting answers by hand. My AskAI drafts new knowledge articles from what your agents actually replied, so the knowledge base maintains itself between reviews.
Featurebase's improvement path runs through the Help Center. Its docs are direct about it: to help Fibi answer customers, it's important to set up your Help Center and add custom external knowledge if needed, as it relies strongly on your Help Center.
Beyond that you add crawls, URLs and uploads, write Q&A snippets (the fastest way to fix one wrong answer without publishing a public article), and use the Improve answer function that shipped with Fibi 3.0 to correct a specific response from inside the conversation.
Tone is steered by a short prompt, and the docs advise restraint, suggesting you keep any custom instruction simple and clear, with "Be helpful and friendly" as the worked example.
The heavier tooling isn't documented anywhere: bulk simulation or replay against historical tickets before go-live, A/B testing of prompts, confidence-threshold tuning, or a published report on the questions the AI couldn't answer. They may exist undocumented, but if those are on your evaluation list you'll need to ask.
One G2 reviewer names the gap without meaning to:
"It'd be nice to have a feature where you could instruct the AI agent to learn from past conversations or to quickly create an internal knowledge article about how to solve a request." — Abdou S., Founder, G2
That's what our Self-Learning does. On any ticket the AI handed over, it compares its own draft to what the human agent actually sent, then drafts a new knowledge article to close the difference.
The proposal lands in front of you to approve. You spend your time reviewing what it found.
When you want to know why an answer came out the way it did, you open the conversation and ask Echo why the agent gave that answer and which source it used. Echo is our in-dashboard assistant for your team, so the audit lives with the people who can act on it.
RecruitCRM went from around 35% AI resolution at go-live to 68% with a weekly review discipline: fixing the gaps in their help center, adding custom answers, tightening guidance. I'd budget for that review time whichever product you pick.
Which has more features, Featurebase or My AskAI?
TL;DR: Featurebase wins this one and it isn't close. It has far more product around the AI: feedback boards, roadmaps, changelog, surveys, a help center and a ticketing inbox. My AskAI has more inside the AI agent itself.
Start with what Featurebase gives you on the product side:
- A feedback portal with posting, upvoting and discussion.
- Revenue and segment linking, so requests can be ranked by business impact.
- Automatic close-the-loop notifications to everyone who upvoted.
- Public and internal roadmaps that update themselves from Jira, Linear, GitHub and ClickUp.
- A changelog with a public page, in-app widgets, release segmentation and stats.
- Surveys covering NPS, CSAT, CES and product-market fit.
- A Help Center with custom domain, article access controls, analytics, multi-brand and an API.
Then the support half, which is newer and moving fast:
- An omnichannel inbox with assignment, snoozing, internal notes, mentions, customer data in the sidebar, SLAs, custom views and an iOS and Android app.
- Tickets covering customer, back-office and tracker types, plus a customer-facing portal.
- A no-code Workflows builder that can run custom actions like extending a trial or offering a discount.
- Outbound proactive chat, banners, email and surveys, which landed in July 2026, and spam filtering with bulk actions two weeks later.
The AI list beyond Fibi is respectable too: the agent Copilot, AI replies and macros, Fibi AI attributes for automatic conversation classification, AI search answers in the Help Center, AI feedback prioritization with duplicate detection and merging, AI translations for help articles across 40+ languages, and AI changelog writing.
The customer list is real and well known. We're on it ourselves. Featurebase's customers page carries Lovable, Raycast, Polymarket, n8n, Ghost, OpenSea, Elementor, Yext, Telenor and HackerRank, among many more.
The homepage claims 1,500+ customers across 186+ countries handling 30m+ customer issues and conversations. Its Product Hunt reviews run at 5.0 from 18 reviewers who mostly praise the price-to-value and the speed of the team (a verdict we'd echo, since we pay for it ourselves).
If you're evaluating the AI specifically, every named-executive testimonial on that customers page is about feedback centralization, roadmap and transparency. Featurebase publishes no metrics-bearing case study about AI resolving support tickets.
The suite is clearly loved. The published proof sits on the feedback half of the product.
We put the work into the agent itself: Guidance, Custom Answers, historic ticket training, private knowledge, image reading, Tasks and Tools for actions like refunds and order lookups, the User Data API, multibrand agents, chatbot-to-human handoff, Self-Learning, testing and QA, Echo and Inspect for traceability, Insights scoring every conversation for AI CSAT where most tools sample 2-10%, auto-tagging, 95 languages, live translation, spam filters and custom domains.
RecruitCRM runs it on Intercom at 68% resolution and 62 hours saved a month. YesLMS runs it on Zendesk at 76% resolution with 88% AI CSAT.
Feature | My AskAI | Featurebase |
Runs inside Zendesk, Intercom, Freshdesk, Gorgias, HubSpot | ✅ | ❌ |
Feedback boards and voting | ❌ | ✅ |
Public / internal roadmap | ❌ | ✅ |
Changelog | ❌ | ✅ |
Surveys (NPS / CSAT / CES) | ❌ | ✅ |
Help center hosting | ❌ | ✅ |
Ticketing inbox and SLAs | ❌ | ✅ |
Mobile agent app | ❌ | ✅ |
No-code workflow builder | ✅ (Tasks and Tools) | ✅ (Workflows) |
Proactive outbound messaging | ❌ | ✅ |
AI agent for customers | ✅ | ✅ |
Agent-side copilot | ✅ (included, no seat charge) | ✅ ($19/agent/mo after 10 free conversations) |
Internal note replies | ✅ | ❌ |
Self-learning from agent replies | ✅ | ❌ |
Auto-tagging | ✅ (Zendesk, Intercom, Freshdesk, Freshchat) | ✅ (Fibi AI attributes) |
Live agent translation | ✅ | ✅ (help article translation) |
Multi-brand | ✅ | ✅ (Enterprise plan) |
API and webhooks | ✅ | ✅ (Professional plan) |
Buying a feedback tool is a different decision from buying an AI support agent. I don't think winning the feature count merges the two.
Is it easy to customize My AskAI and Featurebase?
TL;DR: Both let you set persona, instructions and handoff rules, so this one is a tie. Featurebase's Workflows builder is the heavier tool for branching logic, while My AskAI's Guidance and Custom Answers are the more direct knobs.
Featurebase's controls sit in the same setup screens you configure the agent through. You can rename Fibi, upload a custom avatar in WebP, SVG, PNG, JPG or GIF, write a tone prompt, set handoff and auto-close behavior, and wire custom actions to your APIs.
For anything with branches, Workflows in Advanced Deploy is the tool. I'd call it the more powerful of the two builders.
The prompt surface is deliberately narrow (a sentence of instruction is roughly the ceiling). Featurebase's docs advise keeping any custom instruction simple and clear, with "Be helpful and friendly" as the suggested level of detail, which is a much smaller lever than vendors who hand you the full prompt.
On branding, G2's summarized cons mention limited branding customization, and removing Featurebase's own branding is a $69/mo whitelabel add-on.
We split the same job across three knobs. Guidance is plain-English rules in three categories: communication and style, context and clarification, and handover and escalation, each entry kept under 75 words.
Custom Answers are exact question-and-answer pairs the agent returns word for word, which is what you want for regulated or scripted wording, and they import cleanly from Zendesk macros. Tasks and Tools handle the multi-step procedures that used to need a decision tree, and every action can run fully autonomously or propose-then-approve, whichever you set it to.
On branding our removal fee is $49/mo and it's free on Scale and Enterprise, and Custom Domains let you host your AskAI on your own domain. Multibrand gives separate agents per brand, region or product.
Featurebase's Workflows builder wants the logic mapped out step by step. Our Guidance entries are sentences, and the model does the branching. I score it a tie because both cover persona, tone, handoff and multi-step actions.
What about vendor lock-in?
TL;DR: This is the decisive difference. Fibi only answers inside Featurebase, so adopting it means migrating your helpdesk. My AskAI's trained agent carries across Zendesk, Intercom, Freshdesk, Gorgias and HubSpot, so changing helpdesk later doesn't cost you the AI.
Fibi answers customers inside Featurebase's own Messenger and, once you've built the workflow, over email.
It does not answer inside somebody else's helpdesk, and nothing on Featurebase's support page or its Zendesk integration page suggests otherwise.
The pricing page undersells what you're buying. To use Featurebase's AI, you move your support onto Featurebase.
That's a helpdesk migration: agents retrained, macros rebuilt, tags and routing rules recreated, reporting history left behind or exported into something that doesn't quite match. Set against installing an app, I'd call that a different order of change management. It's why "add AI to our support" turns into a quarter of work.
We answer the same question the other way. The agent lives inside the helpdesk you already run, so you keep your stack, your agents, your macros, your tags and your routing.
And if you change helpdesk in two years, the trained agent, the custom answers, the guidance and the tasks travel with you, so the choice stays reversible. It runs in one helpdesk at a time.
People ask exactly that. "How do I add AI to my customer support without replacing my helpdesk?" is the question the pricing page never answers.
If you have no helpdesk to keep, none of this costs you anything, and consolidating four tools into one subscription is a real win.
Lock-in is a problem you buy in year one and pay for in year three, which is why it gets discounted at purchase.
Does Featurebase or My AskAI have any other AI features?
TL;DR: Both auto-tag and both translate. Featurebase meters agent Copilot per seat and translation above a character cap, while My AskAI meters per ticket.
Tagging
Featurebase shipped Fibi AI attributes alongside Fibi 3.0 in June 2026, giving automated conversation classification off the back of the same agent.
We auto-tag each ticket across up to three custom fields or attributes, natively inside Zendesk, Intercom, Freshdesk and Freshchat, billed at $0.05 per attribute per ticket. Tags come from your existing helpdesk tags, the AI writes each tag's full definition and you edit it, and classification works on meaning, so a paraphrase still lands in the right bucket.
Each tag also carries its own reply control: direct reply, internal-note reply, or no reply. That last one is a useful spend lever, because you pay five cents to classify a ticket you've decided a human should handle, and skip the full conversation cost.
Agent translation
Featurebase auto-translates help articles across 40+ languages with automatic language detection on the Help Center, and multilingual support sits on the Professional tier. It's metered: 250,000 characters a month are free, with overage beyond that at a rate Featurebase doesn't publish.
We handle 95 languages, auto-detected per message, and reply in the customer's language by default. Live Translation, currently on Intercom, translates the customer's message into your agent's language as an inline internal note and translates their reply forward when they send, at $0.05 a ticket.
Help center quick answers
Featurebase's Help Center puts AI search answers directly in the search bar, and the page claims it will resolve over 60% of questions instantly. That's a platform-side feature that comes from owning the whole front end, and it stops the question before it becomes a ticket.
The extras meter differently too. Featurebase prices Copilot per seat and translation per character, on top of the per-seat platform fee.
Ours are priced per ticket and only when used: tagging at $0.05 per attribute, AI actions at $0.02 per reply where a tool fires, tasks at $0.02 a step, live translation at $0.05, image processing at $0.02. Which model suits you depends on your agent headcount against your monthly ticket volume.
What about security, is Featurebase more secure than My AskAI?
TL;DR: Both hold SOC 2 Type II and both are GDPR compliant. Featurebase takes this category on EU-only data residency and a public trust center, which is the deciding factor if your buyers require an EU region.
Featurebase's security FAQ is straightforward reading. It confirms Featurebase is officially SOC 2 certified with the full Type II report available on request, states it is fully GDPR compliant with a data processing agreement, and describes HTTPS with TLS for traffic in transit and AES encryption at rest.
Data residency decides this one for me. Featurebase hosts customer data in the Netherlands, Germany and Ireland, across AWS, Hetzner and DigitalOcean.
For a European buyer whose procurement team has a residency clause, that answers the question in one line. It's backed by a public trust center with a 32-subprocessor register and a status page, which is where a slow security review usually gets unstuck. Featurebase takes this one.
There's no US or APAC region documented, so a buyer with an in-region requirement outside Europe is stuck the other way.
And SSO with identity management and custom admin roles is Enterprise-only, which means a 20-person team that needs SAML is paying $99 a seat.
We're SOC 2 Type II certified and GDPR compliant, with AES-256 at rest and TLS in transit. Your data is never used to train models, never sold, and never used beyond serving your own tickets, and each customer runs in isolated containers.
Our trust center and live status page are both public, and Enterprise carries a contractual 99.99% uptime SLA. The SOC 2 Type II report is available from Scale.
ㅤ | My AskAI | Featurebase |
SOC 2 Type II | ✅ | ✅ (report on request) |
GDPR | ✅ | ✅ (with DPA) |
Encryption at rest | ✅ (AES-256) | ✅ (AES) |
EU-only data residency | ❌ | ✅ (Netherlands, Germany, Ireland) |
Public trust center | ✅ | ✅ |
SSO / SAML | ✅ | ✅ (Enterprise, $99/seat/mo) |
Uptime SLA | ✅ (99.99%, Enterprise) | ❌ (status page only) |
Which costs more, Featurebase or My AskAI?
TL;DR: Featurebase bills two meters, $29 to $99 per seat a month billed yearly plus $0.49 for every Fibi resolution. My AskAI bills one, at about $0.10 a ticket, and it doesn't rise when the AI gets better.
The pricing model
Featurebase's pricing page lists three paid tiers at $29, $59 and $99 per seat per month billed yearly. Pay monthly and those become $37, $75 and $129, a premium published only in the help-center pricing article and absent from the pricing page itself (catch that before you budget monthly).
Every teammate who needs the admin dashboard needs a seat, though Professional includes 20 free Lite seats and Enterprise 50 for people who only need limited access. I'd count your admin headcount before you price any of this.
The second meter is Fibi at $0.49 per AI resolution, on every paid plan, billed at most once per conversation. Multiple questions in one chat count as one resolution, and Featurebase's material indicates you aren't billed when a customer clicks through to a human. The Free plan has no AI at all.
Then the extras: AI Copilot at 10 free conversations a month then $19 per agent, outbound email overage above 5,000 a month, AI translation overage above 250,000 characters, and $69/mo to remove Featurebase branding. Neither overage rate is published, so I can't model either of them.
Featurebase publishes no definition of what counts as a resolution at billing time, with no quiet period, no reopen rule, no escalation exclusion and no enumerated list. I'd want that definition in writing before modeling a single month.
Its pricing page carries an FAQ headed with exactly that question. Ask them for the answer directly before you sign.
The same Fibi 3.0 changelog entry that announced the 50% to 65% resolution improvement also announced that "Starting July 1, 2026, Fibi AI resolutions will move from $0.29 to $0.49 per resolution for all new and existing customers".
That's a 69% increase applied to people already on the platform, in the same release note as the improvement that made the meter run faster. Two third-party comparison pages still quote $0.29, so if you've priced this up from a review site, re-do it.
We bill one meter. Pro is $199/mo including 1,000 tickets, Scale is $499/mo including 2,000 with extra tickets at $0.10, and Enterprise starts at $999/mo, with annual billing taking 33% off the base.
On helpdesk chat, every two AI replies is one credit, which works out at roughly $0.10 a ticket; email tickets run nearer $0.15. The unit is the ticket, whatever the outcome, so a conversation the AI hands over costs the same as one it closes.
Per-resolution pricing charges you more precisely when it's working best: every point of automation you gain converts into another line on the invoice.
Our flat per-ticket bill sits still while that happens. As your resolution rate climbs from 40% to 60% to 75%, the invoice doesn't move.
Buyers weighing per-resolution deals raise the same worry. From a thread on outcome-based pricing in r/B2BSaaS:
"Customers love the idea in theory: pay for value delivered, not usage. But in practice? Budget unpredictability, lack of control over outcomes and all the complications when customers don't fully follow through on their side." — u/ProductFruits, r/B2BSaaS
It's the reason RecruitCRM ruled out Intercom Fin before they found us: the $0.99 per resolution pricing just didn't make economical sense for them.
At low AI volume $0.49 is a small number, and Featurebase is buying you an entire suite for one per-seat price: helpdesk, feedback boards, roadmap, changelog, help center.
An early-stage team on their startup program (86% off year one, 40% year two, 10% year three on Professional, plus 50 free Fibi resolutions a month in year one) is consolidating four tools into one bill at a price that's hard to argue with. If that's you, take the deal.
You can test our side without a card. Our trial is 30 days with all features unlocked and unlimited tickets, so the number you take to your finance team comes out of your own queue.
The overall cost
Here's the arithmetic at 10,000 conversations a month, 20 seats, using Featurebase's own published 65% resolution rate so the two meters line up.
ㅤ | Featurebase (Professional) | My AskAI (Scale) |
Seats | 20 × $59 = $1,180/mo | $0, unlimited team seats on Scale |
AI meter | 6,500 resolutions × $0.49 = $3,185/mo | $499 base (2,000 tickets) + 8,000 × $0.10 = $1,299/mo |
AI line only | $3,185/mo | $1,299/mo |
All-in | $4,365/mo ($52,380/yr) | $1,299/mo, plus the helpdesk seats you already pay for |
Effective cost per resolved conversation | $0.49 on the AI line, $0.67 all-in | ~$0.20 |
If the resolution rate climbs to 75% | 7,500 × $0.49 = $3,675/mo, up $5,880/yr on identical inbound | $1,299/mo, unchanged |
Line the AI meters up on their own and it's $3,185 a month for Fibi against $1,299 for us, on the same 10,000 conversations at the same 65% resolution rate.
Featurebase's $1,180 in seats buys you the helpdesk itself, so a team adopting it stops paying for whatever they were running before, while our $1,299 sits on top of helpdesk seats you keep paying either way.
Which of those two lines you should read depends entirely on whether you already have a helpdesk you like.
Ten more points of resolution on the same inbound add $5,880 a year to the Featurebase invoice, while our bill stays where it is. Over three years I'd weight that difference above the headline seat price.
The seat tiers, Lite seats, Copilot seats and the two overages all interact, so the full invoice takes some untangling. Our Featurebase pricing breakdown covers every line of it.
Conclusion - should I choose Featurebase or My AskAI?
TL;DR: My AskAI wins for teams who already run a helpdesk and want AI on top of it. Featurebase wins if you want one subscription covering feedback, roadmap, changelog and support, and you're willing to move your support onto it.
If you already run Zendesk, Intercom, Freshdesk, Gorgias or HubSpot and you like it, this isn't close: adding our agent is an app install, and adopting Fibi is a platform migration you'd be doing for the AI. The condition that flips it is having nothing to keep, or wanting the feedback and roadmap half badly enough that support comes along for the ride.
The eleven categories, side by side:
ㅤ | My AskAI | Featurebase | ㅤ |
Modes | 9/10 | 6/10 | My AskAI |
Ease of setup | 7/10 | 8/10 | Featurebase |
Training/Integrations | 9/10 | 6/10 | My AskAI |
Answer Quality | 7/10 | 7/10 | Tie |
Improving | 8/10 | 6/10 | My AskAI |
Features | 7/10 | 8/10 | Featurebase |
Price | 9/10 | 6/10 | My AskAI |
Customization | 7/10 | 7/10 | Tie |
Lock-in | 9/10 | 3/10 | My AskAI |
Other AI features | 8/10 | 7/10 | My AskAI |
Security | 7/10 | 8/10 | Featurebase |
Featurebase takes three categories outright and ties two more: it's easier to switch on, it has far more product, and EU-only residency plus a public trust center is a stronger answer than ours for a European security review. Our wins are about what the agent can be fed, what the bill does as it improves, and whether any of it survives a change of platform.
Lock-in is the widest gap on the card at 9 against 3, because Fibi's answers can only ever live inside Featurebase.
We pay Featurebase every month. Our feedback board, roadmap and changelog run on it, and I'm quoted on their own customers page calling the pricing "criminal - so, so much value for so little money".
That's about the feedback and changelog products, which is what we actually pay them for. I'd recommend those without hesitating.
Choose Featurebase if:
- You want feedback boards, a public roadmap and a changelog on the same subscription as your support inbox.
- You're starting support from scratch and have no helpdesk to keep.
- Your buyers require EU-only data residency.
- You're a small team where one $29 seat plus a light AI bill beats a platform fee, and you may qualify for 86% off your first year.
But if you already run a helpdesk, or you're heading toward one, keeping it and adding the AI is the cheaper and more reversible move. Start our agent in internal notes mode next to whatever you're running today, spend the 30-day trial reading its drafts on your real tickets, and go live only when the answers are good enough that you'd have sent them yourself.
And if you're comparing this against other options before you commit, our Intercom Fin alternatives roundup covers the wider field, while our My AskAI vs Crisp comparison asks the same question of a different all-in-one: keep the helpdesk you have, or move onto theirs.
FAQs
Can My AskAI fully replace Featurebase's Fibi, or do I have to move my helpdesk?
Neither product replaces the other in place. Fibi only runs inside Featurebase, and My AskAI only runs inside Zendesk, Intercom, Freshdesk, Gorgias, HubSpot or our own widget.
If you're already on Featurebase, adopting My AskAI means moving your support onto one of those five. Coming the other way, adopting Fibi means migrating onto Featurebase. There's no version of this where you keep the inbox and swap the AI.
What can each AI agent be trained on?
Both cover the basics: a help center, past support conversations, website content, uploaded files and custom question-and-answer pairs. My AskAI adds Notion, Confluence, Google Drive, OneDrive, Dropbox, SharePoint, Salesforce knowledge pages and Shopify, plus historic ticket training on 5,000 tickets by default and the ability to mark any source internal-only.
Featurebase adds what only a suite can: because the roadmap, changelog and feedback boards live in the same database, Fibi answers "is this shipped or planned?" from live product state.
How long does setup take and do we need developers?
Neither needs a developer. Featurebase is fully self-serve with no credit card, and the real dependency is your Help Center, which Fibi relies on heavily, though Featurebase does offer automatic migration from other knowledge-base platforms.
My AskAI is a marketplace app install in your existing helpdesk, typically 10 to 15 minutes, and a team switching from an existing AI agent can be running both side by side inside a day. Our trial is 30 days with all features unlocked, unlimited tickets and no card.
How do My AskAI and Featurebase pricing models differ, and what might we actually pay?
Featurebase runs two meters, a per-seat platform fee plus a per-resolution AI charge. My AskAI runs one, per ticket. On the same 10,000 conversations a month at Featurebase's own 65% resolution rate, the like-for-like AI line is $3,185 against $1,299.
ㅤ | My AskAI | Featurebase |
Pricing model | Per ticket, flat | Per seat + per AI resolution |
Headline rate | ~$0.10 / ticket | $29-$99 / seat / mo yearly + $0.49 / resolution |
AI line at 10k conversations, 65% resolution | $1,299/mo | $3,185/mo |
All-in at 10k conversations, 20 seats | $1,299/mo plus your existing helpdesk seats | $4,365/mo, helpdesk included |
Bill when resolution rate improves | Unchanged | Rises with every extra resolution |
Free trial | 30 days, all features, unlimited tickets, no card | Free plan or paid trial, no card, no AI on Free |
What resolution rate should I expect from AI customer support?
Across 195 rated deployments spanning 38 vendors in our own benchmark data, the median AI resolution rate is 70%, with the middle half of deployments landing between 56% and 80%.
The metric label moves the number more than capability does, with deployments reporting "resolution" median 72.5% against 61% for ones reporting "automation". Published figures are self-selected marketing wins, so the true field average sits below the published median. And your industry, ticket mix and documentation quality swing the result more than the vendor choice does.
Featurebase publishes a self-measured 65% across all its customer workspaces in its June 2026 changelog, on a metric it doesn't define publicly.
Can they handle multilingual support and agent translations?
Both do. Featurebase covers 40+ languages with automatic AI translation of help articles and automatic language detection in the Help Center, with multilingual support gated to the Professional tier and metered at 250,000 free characters a month.
We cover 95 languages, auto-detected per message, and reply in the customer's language by default. Our Live Translation add-on, currently on Intercom, translates the customer's message into your agent's language and their reply back again for $0.05 a ticket.
How do they compare on security and compliance?
Both hold SOC 2 Type II and both are GDPR compliant with a data processing agreement. Featurebase encrypts in transit with TLS and at rest with AES, hosts exclusively in the EU across the Netherlands, Germany and Ireland, and publishes a trust center with its full subprocessor register.
My AskAI uses AES-256 at rest and TLS in transit, runs isolated containers per customer, never uses customer data for model training, publishes a trust center and a live status page, and carries a 99.99% uptime SLA on Enterprise. Featurebase suits a buyer whose requirement is EU-only residency. If you want the SOC 2 report plus an uptime commitment, that's us.
How do I add AI to my customer support without replacing my helpdesk?
Install the AI into the helpdesk you already run rather than adopting a platform that hosts its own. My AskAI installs as an approved marketplace app in Zendesk, Intercom, Freshdesk, Gorgias or HubSpot, reads your existing knowledge, and starts in internal notes mode so nothing customer-facing changes while you check its answers.
Your agents, macros, tags and routing stay as they are, and if you change helpdesk later the trained agent carries across with you. The alternative, adopting a platform whose AI only runs inside itself, means the AI decision drags a migration behind it.
