Sales Effectiveness

Objectionly alternatives: AI objection-handling practice tools compared

Objectionly alternatives: AI objection-handling practice tools compared

Objectionly alternatives: AI objection-handling practice tools compared

Maxim Dsouza

Introduction

Objectionly alternatives fall into three approaches: text-based objection drills, voice roleplay bots, and call-scoring tools. Objectionly is an active call-scoring and roleplay product for insurance teams. Match the approach to the skill you need to practice, then test it with your own objections. Eubrics is an AI sales roleplay platform for enterprise sales teams, and Eubrics sells it.

Key takeaways

  • Objectionly alternatives fall into three approaches, in this order: text-based objection drills, voice roleplay bots, and call-scoring tools.

  • Objectionly is an active AI call-scoring and roleplay product built for insurance sales teams.

  • Match the approach to the skill: typed drills for wording, voice roleplay for live delivery, call scoring for review of real calls.

  • Test any tool with your own objections, and check latency, persona realism, scoring rubric and custom objections.

  • Eubrics offers AI roleplay bots that simulate customers, with scoring, and it also analyzes real calls.

Contents

  • What is Objectionly?

  • What are the alternatives to Objectionly?

  • What is AI sales roleplay software for objection handling?

  • Which AI tool suits objection handling practice?

  • What should I test in a trial or demo of an objection handling tool?

  • Where does Eubrics fit among Objectionly alternatives?

  • Frequently asked questions

  • Conclusion

What is Objectionly?

Objectionly is AI call scoring and roleplay software for insurance sales teams, according to its own site. It scores each sales call against your own script the moment the call ends, and its AI roleplay lets new agents practice with realistic AI prospects. It suits insurance agencies that want every call reviewed and want to train new agents without using up real leads. Its roleplay calls can be scored against the same script used for real calls. Objectionly’s site offers a sign-in link and a demo booking link and shows no shutdown notice, so the product is active. Objectionly’s site lists compliance checks as a closed beta feature.

What are the alternatives to Objectionly?

Objectionly alternatives fall into three approaches: text-based objection drills, voice roleplay bots, and call-scoring tools. The vendors below are examples taken from their own pages, not a ranking, and the approach names are Eubrics’ working labels, not industry terms.

Text-based objection drills

Reps type their replies to a written objection and get feedback. This approach isolates the wording of a reply, so it suits quick repetition. Typed practice does not test timing or tone, which is where voice practice adds more. No vendor page opened for this article describes a typed objection drill product for sales reps, so this approach has no vendor example here.

Voice roleplay bots

Reps practice a simulated call with an AI buyer, then get feedback. Voice adds timing and tone, which typing does not capture. PitchMonster and Hyperbound are examples. PitchMonster’s page describes AI buyers that push back and raise objections, with a phone mode and scoring against your own criteria. Hyperbound’s product page describes rehearsing cold calls and objections with an AI buyer, though it does not say whether the practice is spoken.

Call-scoring tools

Software scores recorded real or practice calls against a rubric. This approach reviews what reps actually said, so it suits managers who cannot listen to every call. Avoma is an example. Its page describes AI scorecards built on named frameworks or your own criteria, with a score and a reason for each rating.

Tool

Approach

How you practice

Scoring

Custom objections

Objectionly

Call-scoring tools

Roleplay with realistic AI prospects

Scored against your own script

Custom prospects; custom objections not stated

PitchMonster

Voice roleplay bots

Phone, video or screen-share with AI buyers

Your own criteria, same scorecard as live calls

Yes: buyers built from your objections

Eubrics

Voice roleplay bots

AI bots that simulate customers

Competency scores, custom scorecards

Yes: bots built around real accounts’ objections

Hyperbound

Voice roleplay bots

Cold-call and objection practice with AI buyers

Customizable methodology-based scorecards

Yes: custom bots with your objections

Avoma

Call-scoring tools

Scores recorded team calls

Pre-built or custom scorecards

Yes: custom objection categories (call tracking)

What is AI sales roleplay software for objection handling?

AI sales roleplay software for objection handling lets a rep practice buyer objections against an AI buyer and get scored feedback. In the three approaches above, this is the voice roleplay bots approach: the buyer pushes back and the rep must answer in the moment, while call-scoring tools review calls that already happened. A 2025 meta-analysis in the International Journal of Instruction (12 articles, 907 participants) found roleplay-based teaching outperformed control groups (effect size 0.818, 95% CI 0.600 to 1.035). A 2024 Journal of Medical Internet Research meta-analysis of 27 randomized trials (1,480 participants) found virtual simulations did not differ significantly from mannequins or real persons for communication skills (standardized mean difference -0.02, 95% CI -0.62 to 0.58). Neither study involved sales reps.

Which AI tool suits objection handling practice?

Match the tool to the objection skill you need to practice. Use this decision list:

  • Text-based objection drills: choose these to sharpen the wording of replies.

  • Voice roleplay bots: choose these to practice live delivery, timing and follow-up questions.

  • Call-scoring tools: choose these to review how reps handle objections on real calls.

Vendors use labels such as AI objection handling and objection handling software for both practice tools and call-review tools, so check which approach a tool leads with before you compare it. Objectionly, Hyperbound and PitchMonster each describe both roleplay and call scoring on their own pages. This choice rests on reasoning, not rankings, because each approach fits a different skill.

What should I test in a trial or demo of an objection handling tool?

Test four things in a trial or demo: latency, persona realism, the scoring rubric and custom objections. Use your own real objections instead of the vendor’s samples. Pick objections from your recent lost deals if you have them. Run the same objections through each tool, with the same tester in one sitting, so differences come from the tool. Write down what each tool did with each objection, then compare the notes side by side. Ask each vendor whether a trial or demo is available before you plan the test. For help writing scenarios, see Eubrics’ guide to designing sales training simulations for objection handling.

Eubrics’ suggested framework

Latency. Say or type an objection and time how long the buyer takes to answer. Long pauses break the feel of a real call.

Persona realism. Check whether the buyer pushes back, changes tone and asks follow-up questions, or only reads a script.

Scoring rubric. Ask to see the rubric. Look for criteria you can read, edit and match to how your managers coach.

Custom objections. Enter the objections your own buyers raise and see whether the tool uses them in the conversation.

Where does Eubrics fit among Objectionly alternatives?

Eubrics fits the voice roleplay bots approach, with call scoring as a second area. Its pages describe AI roleplay bots that simulate customers with the objections of real accounts, scored on competencies such as discovery and objection handling, with custom scorecards available. They also describe live guidance during calls and analysis of real calls afterward. They do not describe text-based objection drills as a separate product. Apply the four tests above (latency, persona realism, scoring rubric and custom objections) to Eubrics as you would to any vendor. For more on this topic, read Eubrics’ article on AI roleplay tools for objection handling.

Frequently asked questions

What is Objectionly?

Objectionly is AI call scoring and roleplay software for insurance sales teams, according to its own site. It scores each call against the script you upload, and its AI roleplay lets new agents practice with realistic AI prospects. Its site offers a sign-in link and a demo link and shows no shutdown notice, so the product is active.

What are the alternatives to Objectionly?

They fall into three categories: text-based objection drills, voice roleplay bots, and call-scoring tools. Examples from vendors’ own pages include PitchMonster and Hyperbound for AI roleplay, Eubrics for AI roleplay bots, and Avoma for call scoring. No vendor page I opened describes a typed drill product. These are examples, not rankings or recommendations.

Which AI tool suits objection handling practice?

It depends on the skill you want to practice. Typed drills suit the wording of replies, voice roleplay suits live delivery and timing, and call scoring suits review of real calls. Try any tool with your own objections before you choose, because the right fit depends on your team and your buyers.

What is AI objection handling software?

Vendors use the label for two kinds of tools: practice tools where reps face an AI buyer, and call-scoring tools that review how reps handled objections on recorded calls. The three approaches in this article cover both kinds. Judge a tool by how it practices and scores, not by its label.

What should I test in a trial or demo of an objection handling tool?

Test four things: latency, persona realism, the scoring rubric and custom objections. Use your own real objections instead of the vendor’s samples, and run the same objections through each tool. Ask each vendor whether a trial or demo is available before you plan the test.

How do text drills, voice roleplay bots and call-scoring tools differ?

Text drills have reps type replies to written objections. Voice roleplay bots have reps practice a simulated call with an AI buyer, which adds timing and tone. Call-scoring tools rate recorded calls against a rubric, so they review what reps said on real calls. These are Eubrics’ working labels, not terms the industry has agreed on.

Conclusion

Objectionly alternatives fall into three approaches: text-based objection drills, voice roleplay bots, and call-scoring tools. Match the approach to the objection skill you need to practice, then test the tool with your own objections. Eubrics offers AI roleplay bots that simulate customers, with scoring, and the same four tests apply to Eubrics. To see how Eubrics approaches objection practice, explore AI sales roleplay training or Get a demo.

Improve Closure Rates with Realistic AI Roleplay Practice

Improve Closure Rates with Realistic AI Roleplay Practice

Top-performing sales teams don’t rely on theory. They simulate real buying conversations. AI roleplay training enables your team to practice high-pressure sales situations and close more deals.

Top-performing sales teams don’t rely on theory. They simulate real buying conversations. AI roleplay training enables your team to practice high-pressure sales situations and close more deals.

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Co-founder & CTO

Co-founder & CTO

Maxim Dsouza is the Chief Technology Officer at Eubrics, where he drives technology strategy and leads a 15‑person engineering team. Eubrics is an AI productivity and performance platform that empowers organizations to boost efficiency, measure impact, and accelerate growth. With 16 years of experience in engineering leadership, AI/ML, systems architecture, team building, and project management, Maxim has built and scaled high‑performing technology organizations across startups and Fortune‑100. From 2010 to 2016, he co‑founded and served as CTO of InoVVorX—an IoT‑automation startup—where he led a 40‑person engineering team. Between 2016 and 2022, he was Engineering Head at Apple for Strategic Data Solutions, overseeing a cross‑functional group of approximately 80–100 engineers.

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