The short answer
Attention and Avoma both record sales calls and turn them into notes, CRM updates, AI scorecards and deal signals. Attention leans toward agents that act on each deal: draft the follow-up, loop in another buyer, propose the terms, with the rep approving. Avoma leans toward breadth and open pricing: meeting assistant, scheduler and lead router, conversation intelligence and revenue intelligence, bought as modules per seat.
Most published comparisons of the two come from a third vendor (tl;dv's list puts tl;dv first), and Attention's own comparison page never quotes Avoma. This piece quotes both vendors from their own sites, read on 31 October 2026. It belongs to our guide to sales tools compared by the job they do, and the category both sit in is explained in conversation intelligence.
What each platform is built around
Attention's home page says "AI agents that work your pipeline while you sell" and "The next move on every deal, drafted and done. You approve. Attention executes." It records meetings "without a bot", builds an agent from a play the team describes in plain language, and its MCP connection gives "Claude, ChatGPT, Cursor, and any MCP-compatible AI direct access to your calls, deals, sellers, and workflows".
Avoma describes itself as all-in-one AI that automates note-taking, scheduling, coaching, forecasting and more. It is sold in four parts: AI Meeting Assistant, Scheduler and Lead Router, Conversation Intelligence and Revenue Intelligence. Its home page adds that "all-in-one doesn't mean you have to buy all at once", and the pricing page sells base plans per recorder seat with add-ons per seat.
Side by side
Every cell comes from the vendor's own pages.
| The decision | Attention | Avoma |
|---|---|---|
| Built around | AI agents that act on each deal | All-in-one meeting, scheduling and revenue platform |
| Recording | "No bot in the room"; can ingest another recorder | Records across Zoom, Meet, Teams and dialers; "75+ languages" transcription |
| CRM updates | CRM "fills itself after every call" | "Automate custom CRM field updates for MEDDIC, SPICED, etc." |
| Call scoring | Every call graded against MEDDIC, BANT or your own framework | AI Call Scoring and AI Sales Methodology Scoring |
| Deal signals | Deal health "scored from buyer signals"; risk flagged with a suggested fix | AI Deal Risks, pipeline management, win-loss analysis |
| Agents and AI access | Plain-language agent builder; MCP with "70+ read and write tools" | "Ask Avoma" copilot; MCP; scheduled workflows and agents |
| Scheduling and routing | Not described on the pages read | Scheduler and Lead Router |
| Pricing published | No public pricing page | Per recorder seat per month, billed annually: Startup $19, Enterprise $39, Organization in between (price not shown); add-ons $19 to $29 |
On recording, scoring and CRM updates the two match closely. Attention puts more weight on agents doing the next task; Avoma puts more weight on covering the whole meeting workflow, booking included.
Where Attention fits better
Attention fits a team that wants the follow-up work done for the rep, with approval in one click. Its home page shows the pattern: "Send the follow-up. Drafted from the call, in the rep's voice", "Re-engage before it's dead. Stalled deals get a nudge strategy right away", and "Pricing discussed at 1:00pm becomes a proposal draft by 1:02pm". Teams describe a play "in plain language" and Attention builds the agent, with "200+ integrations" and actions that are "auditable and traceable".
It also leans hard on forecasting from what buyers said on calls and in email, with deal health "scored from buyer signals" and "evidence one click away". For a RevOps team that wants to query call data from Claude or ChatGPT, the MCP connection with its 70-plus tools is worth a look.
Where Avoma fits better
Avoma fits a team that wants one vendor for the meeting lifecycle, from booking the call to scoring it, at a price it can model before the demo. Its pricing page publishes a price per recorder seat (worked through for a ten-seat team below), says "viewers are free", and offers a "free 14-day trial of the Organization plan".
Scheduling and routing set it apart. Avoma handles "1:1, group, and round-robin" scheduling pages, inbound routing from web forms, and "lead handoff and scheduling between SDRs and AEs".
Checking the "only Attention" claims
Attention's comparison page lists five features it says Avoma does not have. Some are fair. Avoma's pages read on the same day describe no plain-language agent builder like Attention's, and no bot-free recorder.
Others overlap with what Avoma lists for itself. Attention says "only Attention creates call notes that exactly match your CRM and sync them"; Avoma lists "automatic CRM data entry" and "custom CRM field updates for MEDDIC, SPICED, etc.". Attention says it is the only AI sales tool that analyzes patterns across calls; Avoma lists the "Ask Avoma" copilot, win-loss analysis and AI deal risk alerts based on "conversations and CRM engagement". Both list these capabilities, so the trial is where to find out which does them better on your calls.
Which team fits which
The pages read point to four kinds of buyer. Find yours first, and the comparison gets shorter.
A small team that books its own meetings. Reps set up first calls from their own calendars, there is no separate SDR group, and the founder or a first sales leader wants call notes and some scoring. Avoma's per-seat price, free view-only seats and built-in scheduler cover the whole loop with one vendor. Attention's agent builder is more than this team will use in its first year.
An inbound team that routes leads. Web forms come in, someone has to decide which rep gets them, and SDRs hand meetings to AEs. That is the job Avoma's Lead Router is sold for. A team that picks Attention keeps whatever router it has today.
A mid-market team with a RevOps owner. Someone on the team already builds automations and is tired of reps leaving CRM fields empty. Attention's plain-language agent builder, its follow-up drafts and its MCP connection with read and write tools give that person more to build with. Ask how approvals and audit logs work before any agent writes to the CRM.
A team already paying for Gong or another recorder. Attention says it can ingest recordings from another call recorder, so a team could trial its agents without moving recording first. Avoma records across Zoom, Meet, Teams and dialers itself, which makes it a replacement more than an add-on. Decide which of those two moves you want before the demos.
Running a two-week trial of both (illustrative)
The company, people and calls here are invented. Fenwold Haulage has 14 AEs, a RevOps lead called Robin, and two sales managers, Jordan and Casey. It records calls today and wants either fewer empty CRM fields or better follow-ups.
Before day one. Robin writes down three things to test and the pass line for each. Notes and CRM: after a discovery call, are the five MEDDIC fields the team uses filled correctly, judged against what the rep would have typed? Follow-up: would the rep send the drafted email with light edits? Scoring: does the product's order of ten calls match the managers' order? Robin also asks legal and the data owner to approve recording and data handling for both vendors, because neither trial should start on a guess.
Days 1 to 3. Robin connects both products to a sandbox CRM, so nothing a trial agent writes touches live records. Jordan and Casey pick ten recorded calls from the last month, five good and five weak, and rank them on their own before either product sees them.
Days 4 to 10. Four AEs run their real calls through both products. After each discovery call they check the CRM fields each product filled and mark them right, wrong or missing. They score each drafted follow-up on one question: send as is, send after edits, or rewrite. In Attention, Robin also builds one agent from a play written in plain language, such as "if a buyer mentions a competitor, draft a reply with our comparison and flag the deal to the manager". In Avoma, Robin sets up a round-robin booking page for the same four AEs.
Days 11 to 14. Both products score the ten ranked calls. Robin compares each product's order with the managers' order, then has each product grade one call a second time with nothing changed and counts what moved. Robin asks both vendors for a written quote covering the seats, add-ons and any minimums the team would need.
The decision. Fenwold writes one page: field accuracy, follow-up send rate, ranking match, re-run change, the agent or booking page each built, and the quoted price. The product that wins on the thing Fenwold most wanted to stop doing by hand wins the trial. If the two come out level, the price and the effort to roll out decide it.
Questions to ask in each demo
A demo shows the vendor's best calls. Ask to see your own.
For Attention
- Attention publishes no prices. What does a quote include, and are agents, MCP access and integrations priced separately?
- How does the bot-free recorder capture a meeting, and how are participants told they are being recorded?
- When an agent drafts a follow-up or a proposal, where does the rep approve it, and what does the audit trail show afterward?
- Which of the MCP tools can write to the CRM, and can an admin limit them by role?
- If we keep our current recorder, what changes when Attention ingests its recordings instead of capturing them?
For Avoma
- Which plan and which add-ons does our use need? Conversation Intelligence and Revenue Intelligence are sold as add-ons, so ask which features sit in each and price the whole bundle.
- Are there seat minimums for any plan or feature, and how are recorder seats counted against free viewers?
- How does the scheduler and lead router fit with the booking tool we already pay for?
- What can "Ask Avoma" and the scheduled agents do without a person approving each step?
- How do custom CRM field updates for MEDDIC or SPICED get set up, and who maintains them when our fields change?
For both
- Score these ten calls we have already ranked. How close is your order to ours?
- Grade this one call twice. What moved?
- Run a noisy call of ours: crosstalk, a buyer who wanders, a second language if we sell in one. Clean notes on a scripted demo call say little about a messy negotiation.
Recording consent and data handling
Settle recording consent before the trial starts. Attention records with "no bot in the room", so ask Attention how buyers are told they are being recorded when no bot joins, and whether the notice can be set per region. Avoma records across Zoom, Meet, Teams and dialers; ask the same question for each channel.
A short checklist for the person who owns data protection:
- Where are recordings and transcripts stored, and for how long by default?
- Can an admin delete a single call, a single contact's calls, or everything for one customer on request?
- Which fields can the product write to in the CRM, and can that be limited per field?
- Are recordings or transcripts used to train any model, and can the team opt out in the contract?
- Which independent security reports can the vendor share under NDA, and what period do they cover?
Get the answers in writing from both vendors and compare them side by side.
Pricing a ten-seat team (illustrative)
Pricing is where the two pages differ most. Take a team of ten reps who each need a recorder seat, plus four managers and a RevOps lead who only view calls.
On Avoma's published prices, ten recorder seats on the Startup plan cost $190 a month billed annually, and the managers and RevOps lead sit on free viewer seats. If the team also wants the Conversation Intelligence add-on at $29 per seat, the total becomes $480 a month for ten seats, before any minimums. Check that the add-on is sold on the plan you pick, and that call scoring sits in the bundle you are pricing.
For Attention there is no number to put in that row. Ask for a quote on the same shape: ten recorder seats, five viewers, the agents and MCP access you plan to use. Then compare the two quotes line by line, on the same basis. The Avoma figure above is a list price read on 31 October 2026, and the quote you get back may differ.
If the gap is coaching the deal
Whichever you pick, set one weekly habit in the first month: the manager picks two flagged deals per rep and works them in the one-on-one. A dashboard of call scores and deal risks changes nothing on its own, and nothing in either product makes that habit happen.
Both products score calls and flag deals. Neither page describes someone working the flagged deal with the rep: hearing what the buyer said, naming what the deal is missing in the team's method, and planning the next conversation. In many teams that is the manager's job, and managers do not have the hours for every deal. Our AI sales experts do that part, so read this section knowing who wrote it.
With us, the rep brings the live deal to Caty on a call, the way they would bring it to a manager, and types only when they cannot talk. Caty coaches in the team's own method, whether that is MEDDPICC or the team's own playbook; Gap Selling teams work with Keenan and ValueSelling Framework® teams with Val.
She asks for the buyer's evidence and works out the next conversation with the rep. If a call recorder is connected, the rep can point her at a specific call. Before a big meeting she can build a roleplay from the deal around the stakeholder the rep is about to meet, then debrief it with the rep. She remembers the deals the rep has brought to her, so the next session picks up where the last one ended. Managers get a read across the team from Bryce. Attention or Avoma keeps recording and updating the CRM. The category is laid out in the AI sales coaching guide.
Grading the graders
The re-run check in the trial is the one most worth keeping, because neither vendor publishes accuracy figures on the pages we read. In our call-scoring research, a single general-purpose model changed 15% to 17% of its scores between identical runs, against 1.7% for the checklist model in our final setup, which answers a fixed list of yes/no questions about the call. The full list is in how to evaluate AI sales coaching software.
- 01Two managers rank ten calls
- 02The product ranks the same ten
- 03Compare the order
- 04Grade one call twiceNothing changed between runs
Avoma against Gong is in Avoma vs Gong, Attention against Gong in Attention vs Gong, and more options are on our best AI sales coaching software page. If what you need is someone working the flagged deals, talk to us.
FAQ
How much does Avoma cost? Avoma publishes per-seat prices: on 31 October 2026, Startup at $19 and Enterprise at $39 per recorder seat per month, billed annually, with free view-only seats. Add-ons and a worked ten-seat example are in the pricing section above.
How much does Attention cost? Attention does not publish prices. Its pricing address returned "not found" on 31 October 2026 and the home page has no pricing link. The home page says "No implementation project. Test Attention, upgrade when it's working", so ask for a trial and a quote together.
Does Attention have a bot-free recorder? Attention has a bot-free recorder, according to its home page. The page says it captures meetings with "no bot in the room", across "every major meeting platform" and in "100+ languages". It can also ingest recordings from another call recorder if the team already has one.
Which has better AI call scoring, Attention or Avoma? Both grade calls against frameworks such as MEDDIC and BANT or your own criteria, and both track reps over time. Neither publishes accuracy figures on the pages we read. Test both on ten of your own calls ranked by two managers, and compare each product's order with theirs.
Can Attention or Avoma replace Gong? Both cover the jobs most teams buy Gong for: recording, call scoring, CRM updates and deal signals. Avoma adds scheduling and lead routing; Attention adds a plain-language agent builder and bot-free recording. Check forecasting depth and integrations against what your team uses Gong for before switching.
Can a team use Attention and Avoma together? A team can, though it would pay for overlapping recording, notes and scoring. The more common pattern is to keep one recorder and add a product for the job it does not cover. Attention can ingest recordings from another recorder, so a team could run Attention's agents on calls captured elsewhere. Confirm with both vendors before planning around it.
Which is better for a small sales team? Avoma is easier to start with for a small team, because its prices are published and the scheduler is built in. Attention pays off once someone has time to build and maintain agents (see "Which team fits which" above).
Does Avoma have AI agents? Avoma lists scheduled workflows and agents, an "Ask Avoma" copilot and an MCP connection. Attention puts agents at the center of its product, with a plain-language builder and actions the rep approves. Compare them on one play your team already runs, such as following up after a pricing call.
Does Avoma offer a free trial? Avoma offers a free trial, according to its pricing page, which listed a "free 14-day trial of the Organization plan" on 31 October 2026. Attention's home page invites teams to "Test Attention, upgrade when it's working" without listing trial terms, so ask for them in writing with the quote.
Can Claude or ChatGPT read call data from Attention or Avoma? Both list an MCP connection. Attention says its MCP gives "Claude, ChatGPT, Cursor, and any MCP-compatible AI direct access" to calls, deals, sellers and workflows, with "70+ read and write tools". Avoma lists MCP alongside its "Ask Avoma" copilot. Ask each vendor which tools can write as well as read, and who can switch them on.
What should a trial of either product measure? Measure the jobs you are buying it for, on your own calls. For most teams that means CRM field accuracy after real calls, how often reps send the drafted follow-up, how closely the product ranks ten calls against your managers' ranking, and how much a score moves when the same call is graded twice.