The research in brief
LoanOfficer.ai is a good fit for mortgage loan pipeline tracking when the buyer wants a mortgage-specific CRM with loan-stage pipeline views, referral-partner workflows, AI follow-up, and advertised loan origination system (LOS) connectivity. Three of seven platforms named it during the ranking stage (Kimi, ChatGPT, Perplexity), a 42.9% share of included platform responses, with an average listed rank of 6.7 and a best rank of 2. The strongest reason to consider it is its mortgage-first pipeline model tied to LOS milestones. The main limitation is that nearly all evidence is company-published; independent validation of compliance depth, integration behavior, and contract terms is thin.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (Kimi, ChatGPT, Perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 6.7 |
| Best listed rank | 2 (Kimi) |
| Software offering | LoanOfficer.ai mortgage CRM and AI follow-up platform; Starter, Team, Brokerage, Enterprise plans |
| Overall use-case fit | Good (ChatGPT, Perplexity, Kimi); strong (Claude, Gemini, Grok); uncertain (DeepSeek) |
| Research date | 2026-10-01 |
Why LoanOfficer.ai Qualified for This Study
Questions explored
- Is LoanOfficer.ai a good choice for mortgage loan pipeline tracking?
- How many AI platforms recommended LoanOfficer.ai for mortgage brokers in 2026?
LoanOfficer.ai qualified because it was named by three of the seven platforms during ranking discovery and because its published positioning maps directly onto the study's four criteria: loan stage pipeline tracking, referral partner management, compliance and disclosure support, and integration with loan origination systems. Kimi ranked it second, ChatGPT ranked it eighth, and Perplexity ranked it tenth, producing an average listed rank of 6.7 [26].
The platform is marketed as an AI-first mortgage CRM rather than a generic sales CRM, and the vendor states it was built by a broker for loan officers [4]. That mortgage-specific framing is the reason it surfaced in a prompt about loan-specific milestones and disclosure requirements rather than a general CRM question.
Qualification is not the same as endorsement. The ranking-stage mentions came from platforms that also flagged verification gaps, and one platform (DeepSeek) rated fit as uncertain after finding no independent documentation of pipeline depth, referral management, compliance workflows, or LOS integration [4]. This review treats the ranking as a discovery signal, not proof of product quality.
The software offering in focus
Questions explored
- Which LoanOfficer.ai plan should a buyer choose for mortgage loan pipeline tracking?
- Does LoanOfficer.ai include loan-stage pipeline management in its base plan?
The relevant product is the LoanOfficer.ai mortgage CRM and AI follow-up platform, sold as Starter, Team, Brokerage, and Enterprise plans. Pipeline management is positioned as a core platform capability rather than a separate module, and the vendor's pipeline page describes mortgage-first stages with AI prioritization and automated stage advancement [26].
Platforms described the pipeline model with slightly different stage labels. One platform listed pre-qualification, application, submission, underwriting, clear-to-close, and funded [26]. Another listed pre-qual, in-app, submitted, underwriting, CTC, and funded [26]. A third described preapproval, submitted, appraisal, underwriting, clear-to-close, and funded, with LOS side effects at each transition [11]. The labels differ; the underlying mortgage-stage structure is consistent across all three.
Starter is the entry plan at $197/month for two seats, which is the plan most solo loan officers and small teams would evaluate first [30]. Team ($397/month, five seats) and Brokerage ($697/month, ten seats) are the tiers for multi-loan-officer operations. Enterprise is custom-priced.
What the AI Platforms Agreed About
Questions explored
- What do AI platforms agree LoanOfficer.ai does well for mortgage loan pipeline tracking?
- Is LoanOfficer.ai's pipeline tracking actually mortgage-specific rather than a generic sales pipeline?
Agreement was strongest on three points: the pipeline is mortgage-native, LOS milestone events drive automation, and referral-partner communication is built into the workflow.
On mortgage-native stages, the platforms converged. The vendor describes mortgage-first stages with customizable pipeline views, automated stage advances, tasks, and AI prioritization [26]. Anthropic reported dynamic dashboards that highlight stalled files and overdue tasks [33]. Kimi reported age-in-stage tracking, stall detection, and a drag-and-drop board [26]. Grok reported an AI-prioritized queue with automated advances [26]. These are company-published descriptions, but multiple platforms independently surfaced the same structural claim.
On milestone-triggered automation, the platforms also agreed. LOS events such as application received, appraisal ordered, clear-to-close, and funded are described as firing the right message to borrower, Realtor, and referral partner [25]. One platform described follow-up sequences adjusting automatically when a loan moves from application to underwriting without manual stage updates [16]. Another described pre-built campaigns around application, underwriting, clear-to-close, funded, and post-close stages [25].
On referral-partner management, the platforms agreed the capability exists. The vendor describes Realtor or referral-partner records, referral tracking and attribution, partner nurture sequences, and partner performance dashboards [4]. Anthropic reported partner attribution, distinct nurture cadences, co-marketing, and partner-facing loan visibility as native features [10]. Google reported co-branded milestone updates and dedicated partner nurture campaigns [25].
Agreement among AI platforms does not establish product quality. It establishes that the same company-published claims were retrieved and repeated across platforms.
Where the AI Platforms Disagreed or Were Uncertain
Questions explored
- Is LoanOfficer.ai's Encompass integration native or Zapier-based, and does that matter for pipeline tracking?
- How reliable is the independent evidence behind LoanOfficer.ai's compliance and pipeline claims?
The sharpest disagreement concerns Encompass. The vendor's newer integrations page lists Arive, LendingPad, Byte, and Encompass as native integrations [24]. Anthropic reported that the Encompass connection runs via Zapier rather than a native Encompass API, and that most Encompass shops keep Encompass as the LOS and use LoanOfficer.ai as the CRM in front of it [19]. Google reached the same conclusion, stating that connecting with Encompass relies on Zapier rather than a native direct connection [18]. Openai flagged the conflict directly: the homepage and feature pages describe four native LOS integrations, while some older vendor content highlights only Arive and LendingPad [24].
Kimi added a breadth concern rather than a depth one, reporting that Encompass, Calyx Path, and Filogix are not listed as native integrations, and that native coverage is limited to Arive, LendingPad, and Byte [26].
Compliance produced the second area of uncertainty. The vendor claims TCPA consent gating, opt-out suppression, timezone-aware sends, and audit logging [17]. Google reported out-of-the-box compliance defaults including quiet hours, opt-out tracking, licensed language, and default disclosures [13]. But the vendor's own acceptable-use policy assigns customers responsibility for consent, messaging content, and regulatory-compliance failures [6]. Anthropic stated that no third-party audit, SOC 2 report, or legal review of the compliance architecture is publicly available, and that liability for violations remains with the user [7]. Perplexity found that compliance support is only partially suggested by SMS language and email template guidance, and is not fully verified as a governed feature set [15].
Deepseek was the outlier on overall evidence quality, rating fit as uncertain and reporting that pipeline depth, referral-partner management, compliance support, and LOS integrations could not be independently verified from the sources it checked [4]. Deepseek also ran without search enabled and used a research date of 2026-01-15, roughly nine months earlier than the study date.
One independent reviewer, cited by Claude, noted that the platform lacks true multi-channel communication features beyond basic automated responses and feels limiting for loan officers who need flexibility and integration with existing systems [35]. This is a single independent review and conflicts with the vendor's bundled SMS, email, dialer, and voice positioning.
Features for this workload
Questions explored
- What pipeline, referral, and LOS features does LoanOfficer.ai include for mortgage loan pipeline tracking?
- Does LoanOfficer.ai track referral partner attribution and Realtor co-marketing?
Pipeline tracking is the platform's core claim. The vendor describes mortgage-first stages, AI prioritization, automated stage advancement, and live opportunity signals [26]. Kimi reported AI ranking deals by urgency, likelihood to close, and next-action ROI, plus real-time rate-drop and equity-event signals appearing in the pipeline [26]. Anthropic reported dynamic dashboards highlighting stalled files and overdue tasks [33].
LOS integration is the second pillar. The vendor advertises native two-way integrations with Arive, LendingPad, Byte, and Encompass, including borrower data, pipeline stages, loan milestones, and referral associations, plus Zapier and a REST API for broader connectivity [24]. The Byte integration page describes synchronization of borrower records, loan status and stages, post-close rosters, and referral or Realtor associations [28]. The LendingPad page describes push and pull functionality [29]. Anthropic reported field-level mapping connectors for Encompass, Calyx Point, LendingPad, Byte, and Arive [8], which conflicts with the Zapier-only characterization of Encompass reported elsewhere.
Referral-partner management includes partner attribution, distinct nurture cadences, co-marketing, and partner-facing loan visibility [10], plus Realtor partner recruitment and tracking [4]. Kimi reported that a realtor partner ledger with top referrers by volume, last-referral stamps, and re-engagement reminders is not mentioned for LoanOfficer.ai, while competitor Ahmeego has an explicit realtor partner ledger [26]. Perplexity similarly found referral-management capability implied by marketing language but not clearly broken out as a dedicated workflow [14].
AI follow-up is the third pillar. The vendor states AI responds to new leads in under a minute by text, holds the qualification conversation, handles objections, checks a live calendar, and books the appointment [8]. The vendor also claims a 9x higher contact rate when responding under one minute [23]; this is a company claim with partial support strength and no independent validation in the reviewed sources.
Database mining is an optional add-on rather than a base feature. Property Pulse monitors property records for refi, HELOC, PMI-drop, and rate-drop triggers [9]. The vendor claims coverage of 150M+ records [9]; no independent validation of data accuracy, latency, or false-positive rates was found.
Pricing, renewal terms, and ongoing costs
Questions explored
- How much does LoanOfficer.ai cost per month for mortgage loan pipeline tracking, and what is the setup fee?
- Are there SMS, email, or add-on overage fees that change the real cost of LoanOfficer.ai?
Published pricing is unusually clear for this category, though several cost components remain undisclosed. Starter is $197/month for two seats, Team is $397/month for five seats, Brokerage is $697/month for ten seats, and Enterprise is custom-priced [30]. A one-time $299 setup fee covers onboarding, account setup, and LOS, lead-provider, email, and calendar integrations [31]. Every plan starts with a $1 14-day trial [30].
Add-ons are separately priced. The branded website package is $99/month plus a one-time $299 setup fee, and Property Pulse starts at $49/month depending on plan and report volume [30]. Platform-reported add-on figures vary: one platform listed Property Pulse at $49/month for Starter, $99/month for Team, and $149/month for Brokerage [9], while another listed it as starting at $49/month [30]. The vendor's own pricing page states "starts at $49/mo depending on plan and report volume," which is consistent with tiered pricing but does not confirm the exact per-tier figures [30].
Contract terms are reported as month-to-month with no contract [30]. Anthropic reported month-to-month billing with no multi-year lock-in, upgrade, downgrade, or cancel at any time, and no minimum seat commitment [31]. However, ChatGPT reported that minimum term, cancellation notice, auto-renewal, refunds, and post-cancellation data-export terms are not published [30]. Perplexity found no contract stated on the pricing page but noted cancellation mechanics are not fully detailed [30]. Kimi reported that month-to-month versus annual terms after the trial are unclear [26].
Usage costs are the largest gap. Anthropic reported SMS overage at $0.02–$0.04 per segment and email overage at 0.25 tokens per email, with all plans including 5,000 tokens per month per seat covering up to 1,000 SMS segments and 5,000 emails [31]. Openai reported that SMS and email overage rates are not published on the reviewed pricing page [30]. These two findings conflict, and the token-based overage model was reported by only one platform. Buyers should treat usage pricing as unconfirmed.
Best Suited For
Questions explored
- Who gets the most value from LoanOfficer.ai for mortgage loan pipeline tracking?
- Is LoanOfficer.ai a good fit for a small mortgage brokerage using Arive, LendingPad, or Byte?
LoanOfficer.ai is best suited to solo loan officers and small-to-mid-sized mortgage teams that want pipeline tracking combined with borrower follow-up and referral-partner nurturing in one platform. The platforms converged on this profile.
Specific fits reported across platforms include solo loan officers and small teams managing roughly 50–500 active loans (Claude), teams using Arive, LendingPad, or Byte that want real-time pipeline sync without manual updates (Claude, Kimi), brokerages seeking a bundled CRM, automation, dialer, marketing, and LOS-integration platform (ChatGPT), and teams prioritizing speed-to-lead and borrower retention automation (Claude, Gemini). Grok summarized the fit as solo loan officers and small teams needing AI-automated pipeline tracking tied to loan stages, plus users prioritizing referral partner management alongside the borrower pipeline [26].
The common thread is buyers who want an AI-first, mortgage-specific system and are willing to run a structured evaluation before committing. The platform's month-to-month positioning supports that approach [30].
Probably Not Best Suited For
Questions explored
- Who should not choose LoanOfficer.ai for mortgage loan pipeline tracking?
- Is LoanOfficer.ai a poor fit for large enterprise lenders with deep Encompass workflows?
LoanOfficer.ai is probably not the best fit for large enterprise lenders with deep Encompass-native workflows and ICE ecosystem lock-in, for non-mortgage or mixed-vertical sales teams, and for buyers who require independently validated compliance controls before purchase.
Anthropic stated the platform is not designed for non-mortgage sales teams and is a newer brand than legacy enterprise tools [8]. Anthropic also listed large enterprise lenders with 500+ loan officers, operations where Encompass is the primary system and two-way sync cannot be validated pre-contract, and brokerages requiring advanced document management, eSignature, or title integration inside the CRM as poor fits [19].
Openai listed buyers needing a fully independently validated compliance-management system, organizations whose primary LOS requires a native integration not listed by the vendor, and teams seeking highly transparent enterprise pricing or detailed usage-based fee schedules before engaging sales [30].
Kimi listed teams needing Encompass, Calyx Path, or Filogix native sync, budget-conscious startups wanting sub-$100/seat pricing, and teams requiring hashed PII or compliance-audited coach views [26]. Grok listed enterprise teams requiring extensive custom support or very large user counts, and buyers seeking the lowest-cost entry options under $197/month [30].
Deepseek, which rated fit as uncertain, listed lending teams needing documented deep loan-stage pipeline configuration as the system of record, brokers requiring verified LOS integrations and compliance workflows out of the box, and buyers requiring published pricing and independent third-party validation [4]. Note that DeepSeek ran without search enabled, so its pricing finding conflicts with the published pricing that other platforms retrieved.
When Another Option May Be Better
Questions explored
- What is a better alternative to LoanOfficer.ai for a buyer who needs native Encompass sync?
- Is there a cheaper alternative to LoanOfficer.ai for basic mortgage pipeline tracking?
Another option may be better in four specific situations, based on platform-reported alternatives.
First, when Encompass is the primary LOS and the buyer needs sub-minute native sync. Kimi named BNTouch as purpose-built with Encompass-native integration [2]. Anthropic named ICE Surefire or Calyx Point integrations as potentially offering deeper sync [19].
Second, when budget is the binding constraint. Kimi named CaptaFi at $25/user/month for basic pipeline needs [3] and noted BNTouch at $95/seat [2]. Grok flagged that buyers seeking entry pricing below $197/month should look elsewhere [30].
Third, when strict compliance requirements include hashed PII in manager views. Kimi named Ahmeego as explicitly offering this, along with unlimited seats on a flat fee structure [1].
Fourth, when the organization already runs Salesforce, HubSpot, or Total Expert and wants to consolidate rather than add a platform, or when it prioritizes vendor longevity and published regulatory endorsements over AI-first architecture [19]. Google noted that buyers who already have a robust marketing stack and only want homeowner equity reporting may find standalone tools like Homebot or MyHomeIQ more cost-effective [18].
These alternatives are platform-reported and were not independently tested for this review.
Questions to ask before choosing a provider
Questions explored
- What should a buyer confirm with LoanOfficer.ai before signing a contract?
- How can a buyer test LoanOfficer.ai's LOS sync and compliance controls during the trial?
The platforms produced a consistent verification list. Buyers should confirm the following before committing.
Confirm whether the buyer's exact LOS is supported by a native, bidirectional integration, and which fields, milestones, tasks, documents, and referral relationships synchronize [24]. Ask specifically whether Encompass is native or Zapier-based, since platforms disagreed on this point [19].
Confirm how duplicate records, failed syncs, stage conflicts, and manual corrections are handled, and what service-level commitments apply when an LOS synchronization fails [24].
Confirm which compliance and disclosure templates are supplied, who approves them, and what audit logs are retained. Ask to see consent gating logic, opt-out suppression workflow, and an audit log sample [17].
Confirm how TCPA consent, do-not-call status, opt-outs, texting registration, and message-frequency controls are implemented, and who bears liability if an AI-generated message violates TCPA [7].
Confirm the exact SMS, email, telephony, AI-token, data-import, and API overage charges, since published sources conflict on whether these rates are disclosed [30].
Confirm whether there is a minimum contract term, auto-renewal, cancellation notice requirement, refund policy, or early-termination fee, and whether the $299 onboarding fee is refundable [30].
Confirm whether all borrower, partner, activity, campaign, and pipeline data can be exported in a usable format after termination [30].
Confirm whether Encompass, Byte, Arive, and LendingPad integrations are included in every plan or subject to setup, seat, or usage restrictions [24].
Confirm whether Property Pulse triggers update daily, hourly, or weekly, and test accuracy against a subset of existing borrowers [9].
Confirm team routing and permissions depth, including per-loan-officer AI, source-based routing, and team pipeline visibility, with a live demo on sample data [8].
The consensus assessment
LoanOfficer.ai is a good fit for mortgage loan pipeline tracking, with three platforms rating it strong, three rating it good, and one rating it uncertain. The consensus rests on a mortgage-native pipeline model, milestone-triggered automation, referral-partner workflows, and advertised LOS connectivity at a published price point starting at $197/month for two seats.
The consensus is qualified, not definitive. Company-owned citations materially outnumber independent citations in the reviewed evidence, and no platform independently verified pipeline accuracy, LOS synchronization reliability, compliance sufficiency, or customer outcomes. Platforms disagreed on whether Encompass integration is native or Zapier-based, on whether usage overage rates are published, and on whether referral-partner management is a dedicated workflow or implied marketing language.
Buyers should treat LoanOfficer.ai as a strong candidate for a structured pilot, not a settled purchase. The four criteria that matter most - loan-stage pipeline depth, referral-partner management, compliance and disclosure support, and LOS integration - should each be validated on the buyer's own data before signing.
How This Review Was Produced
This review was produced from a single research run dated 2026-10-01 covering seven AI platforms: Claude, DeepSeek, Gemini, Grok, Kimi, ChatGPT, and Perplexity. Each platform was asked which providers it would recommend for a mortgage brokerage managing loan applications through multiple stages, relying on referral partners, and needing LOS integration.
Seven platforms evaluated fit. Three platforms named LoanOfficer.ai during ranking discovery: Kimi (rank 2), ChatGPT (rank 8), and Perplexity (rank 10). The remaining four platforms evaluated fit without naming the entity in the ranking stage. Ranking statistics therefore reflect only the three naming platforms.
This report evaluates LoanOfficer.ai only for mortgage loan pipeline tracking. It is not a broad company review, and findings should not be extended to other use cases.
Research limitations
Several limitations apply. Company-owned citations materially outnumber independent citations in the reviewed evidence, so company claims should not be described as independently verified. The supplied URLs were collected from platform responses and were not independently validated at the writing stage.
Platform-reported research dates differ from the authoritative run date. Deepseek reported a research date of 2026-01-15, roughly nine months earlier than the 2026-10-01 study date, and DeepSeek ran without search enabled. Its findings are platform-reported and may not reflect current product state.
Platforms disagreed on material facts, including whether Encompass integration is native or Zapier-based, whether SMS and email overage rates are published, and whether Property Pulse pricing is tiered at $49/$99/$149 or starts at $49. These conflicts are reported rather than resolved.
Pricing, contract, and cancellation details are incomplete. Minimum term, auto-renewal, refund rules, and post-cancellation data-export terms were not published in the reviewed sources. Usage-based communication charges were reported inconsistently.
No platform independently verified pipeline accuracy, LOS synchronization reliability, compliance sufficiency, or customer outcomes. Vendor claims such as a 9x higher contact rate and 150M+ property records were not independently validated. Agreement among AI platforms reflects shared retrieval of company-published material, not proof of product quality.
See the broader Mortgage Brokers and Loan Officers consensus index for comparisons across qualified options.
Explore more crm and sales pipeline software guidance in the category directory.
Sources
Company-Owned Sources
- Mortgage CRM - Loan Pipeline by Stage, Lock Watch, LO Production, Realtor Partners: https://ahmeego.com/crm/mortgage/
- Mortgage Pipeline Management: One Screen for Every Loan: https://bntouch.com/mortgage-pipeline-management/
- Residential Mortgage Pipeline Software: https://captafi.com/residential-mortgage-pipeline-software/
- AI Mortgage CRM for Loan Officers: https://loanofficer.ai/
- Mortgage CRM Tutorials - Pipelines, Smart Lists & Tasks: https://loanofficer.ai/academy/crm
- Acceptable Use Policy: https://loanofficer.ai/acceptable-use-policy
- AI Compliance - LoanOfficer.ai: https://loanofficer.ai/ai-compliance
- Best CRM for Loan Officers: 9 Tools Compared (2026: https://loanofficer.ai/best/loan-officer-crm
- Best Mortgage CRM Software in 2026 - Top 7 Compared: https://loanofficer.ai/best/mortgage-crm
- Best Mortgage CRM for Realtor Partners in 2026: https://loanofficer.ai/best/mortgage-crm-for-realtor-partners
- Best Mortgage Pipeline Management Software in 2026 - Ranked: https://loanofficer.ai/best/mortgage-pipeline-management-software
- Mortgage AI & CRM Blog - LoanOfficer.ai Insights: https://loanofficer.ai/blog
- The AI CRM Buyer's Guide for Loan Officers (2026 Edition: https://loanofficer.ai/blog/ai-crm-buyers-guide
- Best CRM for Mortgage Brokers: Top Picks for 2026: https://loanofficer.ai/blog/best-crm-for-mortgage-brokers
- Mortgage Email Templates for Loan Officers: 2026 Guide: https://loanofficer.ai/blog/mortgage-email-templates
- PhoneBurner Alternatives for Mortgage Pros: 2026 Shortlist: https://loanofficer.ai/blog/phoneburner-alternatives
- TCPA Compliance Texting for Mortgage Teams: 2026 Guide: https://loanofficer.ai/blog/tcpa-compliance-texting
- LoanOfficer.ai vs Encompass CRM Comparison: https://loanofficer.ai/compare/encompass-crm
- LoanOfficer.ai vs ICE Mortgage Tech - Compared: https://loanofficer.ai/compare/loanofficer-ai-vs-ice-mortgage-technology
- LoanOfficer.ai vs Velocify - Honest 2026 Comparison: https://loanofficer.ai/compare/loanofficer-ai-vs-velocify
- Your All-In-One Mortgage Command Center: https://loanofficer.ai/crm-ai-assistants
- LoanOfficer.ai Features: https://loanofficer.ai/features
- AI Follow-Up for Mortgage CRM - LoanOfficer.ai: https://loanofficer.ai/features/ai-follow-up
- Mortgage CRM Integrations - LOS, Zapier & More: https://loanofficer.ai/features/integrations
- Mortgage Marketing Automation: https://loanofficer.ai/features/marketing-automation
- Mortgage Pipeline Management - LoanOfficer.ai: https://loanofficer.ai/features/pipeline-management
- Integrations - LoanOfficer.ai: https://loanofficer.ai/integrations
- Byte LOS Integration - LoanOfficer.ai: https://loanofficer.ai/integrations/byte
- LendingPad + LoanOfficer.ai - Integrations: https://loanofficer.ai/integrations/lendingpad
- Pricing: https://loanofficer.ai/pricing/
- LoanOfficer.ai Pricing: https://loanofficer.ai/pricing/b/test
- AI-Powered Mortgage Solutions CRM for Pros: Lead Nurture: https://loanofficer.ai/solutions
- Transforming Mortgage Workflows: The AI Edge in CRM Systems: https://loanofficercrm.ai/2025/06/29/transforming-mortgage-workflows-the-ai-edge-in-crm-systems/
- Loan Officer CRM Demo: AI Mortgage CRM Full Walkthrough: https://www.youtube.com/watch?v=hJiOiAeFta4
Independent Sources
- Best AI Tools for Loan Officers in 2025: Complete Guide: https://www.conduit.ai/blog/best-ai-tools-loan-officers-2025
- LoanOfficer.ai Review (2026): Pricing, Pros & Cons: https://www.itechguides.com/products/loanofficer-ai/
Other Sources
- LoanOfficer.ai Reviews 2026: Details, Pricing, & Features - G2: https://www.g2.com/products/loanofficer-ai/reviews
ChatGPT
Claude
DeepSeek
Grok
Perplexity
Kimi
Gemini