Cometly vs Factors.ai in 2026: Ad-to-ARR Attribution vs AI-First Account-Based Marketing
One connects a specific ad click to closed-won revenue in the CRM. The other identifies which named accounts are visiting your site and automates LinkedIn outreach around that intent.
Cometly
Factors.ai- Cometly connects a specific ad campaign to closed-won ARR using real CRM deal values. Factors.ai identifies and scores named accounts visiting your site but does not build a comparable CRM-anchored revenue attribution model.
- Factors.ai has a public entry price of $199/month on its Lite tier. Cometly discloses no pricing anywhere and bills on website session volume after a sales call.
- Both tools auto-detect AI-related traffic in different ways: Cometly names ChatGPT, Gemini, Grok, and Google AI Overviews as attribution channels, while Factors.ai builds MCP access so AI agents can query GTM account data directly.
- Factors.ai unmasks 75%+ of anonymous website visitors to named companies starting on its Basic tier at $6,000/year. Cometly has no comparable account identification feature; it tracks sessions and pipeline, not named visiting companies.
- Factors.ai's LinkedIn AdPilot automates audience building and sends enhanced conversion signals back to LinkedIn. Cometly has no LinkedIn ad automation feature, only attribution reporting on LinkedIn Ads spend.
- Cometly's server-side Conversion API recovers 15 to 30 percent more conversion events than pixel tracking alone. Factors.ai has no equivalent named server-side tracking layer.
- Neither tool offers white-label delivery on any tier, which matters for agencies considering either platform for client reporting.
Cometly and Factors.ai both sell into B2B marketing teams and both now describe themselves as AI-ready, but the overlap stops there once you look at what each tool actually measures. Cometly exists to answer one question: did this campaign eventually turn into closed-won ARR, tracked against real CRM deal values rather than platform-reported conversions. Factors.ai exists to identify which named companies and individuals are visiting your site, score them by intent, and automate LinkedIn ad targeting around that data. Both gate their more advanced features behind a sales conversation, and both now ship an MCP integration for AI agents, but the actual product underneath is built for different jobs. This comparison is for teams trying to figure out whether they need pipeline-to-revenue attribution, account identification, or genuinely both.
The tools at a glance
Cometly
B2B SaaS ad attribution that connects every campaign dollar to pipeline created and closed-won ARR
Cometly tracks the full journey from first ad impression through booked demo, deal created, and closed-won ARR, calculating return against actual CRM deal values instead of platform-reported conversions. That distinction is built for B2B SaaS specifically, where a demo booked today might not close for 60 to 90 days and standard ad platform windows are too short to catch it.
A server-side Conversion API runs alongside the pixel, recovering roughly 15 to 30 percent more conversion volume than pixel tracking alone by sending events directly to ad platform APIs. Cometly also auto-detects traffic from ChatGPT, Gemini, Grok, and Google AI Overviews, surfacing those as named channels next to Google Ads and LinkedIn Ads with the same pipeline metrics applied.
The friction is access: there is no public pricing, billing is usage-based on website sessions, and getting a number means booking a call. MCP integration for Claude, CRM and warehouse sync with Snowflake and BigQuery, and the Cometly API are all locked to the Enterprise tier, so Core is the attribution product without the newer AI and data-infrastructure layer.
| Feature | Core Usage-based, contact for pricing | Enterprise Custom |
|---|---|---|
| Pricing model | Based on website sessions | Custom |
| Server-side tracking (Conversion API) | ✓ | ✓ |
| Multi-touch attribution | ✓ | ✓ |
| Ask AI | ✓ | ✓ |
| 70+ integrations | ✓ | ✓ |
| CRM and warehouse sync | ✗ | ✓ |
| MCP integration | ✗ | ✓ |
| Cometly API | ✗ | ✓ |
Factors.ai
AI-first ABM platform that turns account intent signals into pipeline actions
Factors.ai identifies which companies are visiting your website and, from the Basic tier up, unmasks 75%+ of those anonymous visits to named accounts. It layers on intent signals from G2, firmographic data, and behavior patterns to segment accounts by how close they are to a buying decision, then feeds that intelligence into LinkedIn AdPilot to build precise audiences and improve ad targeting automatically.
The MCP integration is a notable piece of the platform: Factors describes it as carrying more GTM context than any other MCP in the market, exposing account intelligence, intent signals, and attribution data so AI agents in Claude, ChatGPT, or custom workflows can act on account data without manual exports. Full-funnel attribution runs alongside all of this, crediting first-touch, last-touch, and influenced interactions across the buyer journey.
The pricing ladder is steep once you move past the entry tier. Lite is $199 a month, but real ABM features like account scoring, G2 intent data, and custom agentic alerts require the Growth plan at $20,000 a year, and LinkedIn impression control is locked to Enterprise at $30,000-plus a year. Onboarding is also genuinely complex, since the platform aggregates website, CRM, ads, and intent data from day one.
| Feature | Lite $199/month | Basic $6,000/year | Growth $20,000/year | Enterprise $30,000+/year |
|---|---|---|---|---|
| Company identification | ✓ | ✓ | ✓ | ✓ |
| Unmask 75%+ of visiting companies | ✗ | ✓ | ✓ | ✓ |
| LinkedIn Ads influence tracking | ✗ | ✓ | ✓ | ✓ |
| CRM sync | ✗ | ✓ | ✓ | ✓ |
| Custom account scoring | ✗ | ✗ | ✓ | ✓ |
| G2 intent data | ✗ | ✗ | ✓ | ✓ |
| Predictive account scoring | ✗ | ✗ | ✗ | ✓ |
| LinkedIn Ads impression control | ✗ | ✗ | ✗ | ✓ |
Head-to-head feature comparison
| Feature | Cometly | Factors.ai |
|---|---|---|
| Primary use case | B2B SaaS ad attribution, first touch to closed-won ARR | AI-first account-based marketing: identification, intent, and LinkedIn automation |
| Pricing transparency | None (sales call required for a quote) | Partial (Lite plan published; Basic and above require a sales conversation on total cost) |
| Starting price | Usage-based (session volume), custom quote | $199/month (Lite) |
| Company/account identification | No (tracks sessions and pipeline, not named visiting companies) | Yes (unmasks 75%+ of visiting companies from Basic tier) |
| LinkedIn ad automation | No (attribution reporting on LinkedIn Ads spend only) | Yes (LinkedIn AdPilot: audience building, enhanced conversion signals) |
| CRM attribution to closed-won revenue | Yes (core feature, tied to actual CRM deal values) | No (funnel and influence attribution, not CRM-anchored revenue modeling) |
| AI traffic source detection (named engines) | Yes (ChatGPT, Gemini, Grok, Google AI Overviews) | No (feeds account context to AI agents, does not track named AI answer engines) |
| MCP integration for AI agents | Yes (Enterprise only, for Claude) | Yes (platform-wide GTM data layer for AI agents) |
| Server-side / Conversion API tracking | Yes (Conversion API, both tiers) | No named server-side tracking feature |
| Intent data (e.g. G2) | No | Yes (Growth tier and above) |
| White-label delivery | No | No |
| API access | Enterprise only | Yes |
Considering AI visibility monitoring alongside Cometly or Factors.ai?
Cometly names ChatGPT, Gemini, Grok, and Google AI Overviews as attribution channels once a visitor clicks through from one, and Factors.ai's MCP layer lets AI agents query your account data, but neither tool tells you what those AI engines say about your brand before anyone clicks anything. AI Peekaboo tracks brand mentions and recommendations across ChatGPT, Gemini, Perplexity, and Google AI Overviews at the prompt level, with a read and write API on every plan from $50 a month. It answers the upstream question that both of these attribution-focused tools skip.
Read the AI Peekaboo review →Which should you choose?
CometlyFactors.aiFactors.aiFactors.aiCometlyFactors.aiCometlyThese two rarely compete for the same budget line even though both sell attribution to B2B marketing teams. Cometly is a specialist in one question: whether a specific ad touch became a closed-won deal, answered against real CRM values. Factors.ai is a specialist in a different question: which named accounts are showing intent right now, and how do you turn that into a precise LinkedIn campaign. A B2B SaaS company running both paid acquisition and LinkedIn ABM plausibly needs both tools rather than picking one to replace the other.
Bottom line
Book the Cometly demo if your gap is proving a specific campaign produced closed-won ARR 60 to 90 days later. Start Factors.ai at the $199 Lite tier if you need to see which companies are visiting your site, but budget for the $6,000/year Basic plan before expecting the account-unmasking and CRM sync that make the platform useful. Teams running a real ABM motion with LinkedIn spend should expect the Growth tier at $20,000/year to be where Factors.ai actually starts paying for itself.
Frequently asked questions
Can Factors.ai replace Cometly for attribution reporting?
Not for CRM-anchored revenue attribution. Factors.ai's full-funnel attribution credits first-touch, last-touch, and influenced interactions, but it does not calculate ROAS against actual closed-won CRM deal values the way Cometly is purpose-built to do. Factors.ai answers "which accounts showed intent," not "did this campaign become revenue."
Which tool is cheaper to start with, Cometly or Factors.ai?
Factors.ai has a public $199-a-month Lite tier, giving you a number without a sales call. Cometly discloses no pricing anywhere and bills on website session volume after a sales conversation, so Factors.ai is the only one of the two you can budget for without talking to anyone first.
Do both tools support MCP for AI agents like Claude?
Yes, but for different purposes. Cometly's MCP integration lets Claude query attribution data like campaign ROAS and closed-won ARR, and it is restricted to the Enterprise tier. Factors.ai's MCP exposes account intelligence and intent signals as a GTM data layer for AI agents across the whole platform.
Does Cometly identify which companies are visiting my website by name?
No. Cometly tracks sessions, campaigns, and the pipeline those sessions eventually produce in the CRM, but it does not unmask anonymous visitors to named companies. That is the core feature Factors.ai builds its platform around, unmasking 75%+ of visiting companies from its Basic tier up.
Is Factors.ai worth it for a small B2B SaaS company just starting with LinkedIn ads?
The $199 Lite tier is a reasonable way to see company-level traffic, but the features that make Factors.ai genuinely useful for ABM, like account unmasking, CRM sync, and LinkedIn Ads influence tracking, start at Basic ($6,000/year). A small team running a modest LinkedIn budget should weigh that jump against what the same money buys in ad spend directly.