Every CRM AI query is a comparison. "What CRM should I use instead of Salesforce?" "HubSpot vs. [alternative] for a small sales team." "Best CRM for a real estate team of 15 agents." The CRM market has two gravitational forces, Salesforce and HubSpot, and every other platform must define itself in relation to them. Here's how to position your CRM so AI recommends it for the queries where Salesforce and HubSpot fall short.
Why every CRM AI query orbits around salesforce and hubspot, and how to break through their gravitational pull
CRM AI queries are dominated by two reference points: Salesforce (the enterprise default) and HubSpot (the SMB default), and AI tools default to recommending these two unless the query specifically indicates they're not the right fit, making counter-positioning and use-case specificity the only viable LLM optimization strategies for challenger CRMs.
The CRM market is one of the most challenging for AI visibility because two brands dominate the mental model. When someone asks ChatGPT "what CRM should I use?" the default answer includes Salesforce and HubSpot unless the query contains a signal that those aren't right.
The signals that open the door for alternatives:
"CRM that's simpler than Salesforce for a 10-person team" "HubSpot alternative with better reporting" "CRM for real estate agents, not generic sales CRM" "Cheap CRM for a solopreneur, I don't need all HubSpot's stuff" "CRM that integrates with Gmail and Google Workspace natively"
Each of these queries contains a disqualifier for one or both giants and a specific need that creates an opening for alternatives.
Here's what ChatGPT evaluates:
- Query: "Best CRM for a real estate team of 15 agents that's not Salesforce"
AI evaluates:
- Is this CRM designed for real estate specifically (not adapted from general sales CRM)?
- Does it handle real estate workflows (listings, leads by property, transaction pipeline)?
- Is it appropriate for a team of 15 (not enterprise, not solo)?
- Is the pricing structure reasonable for a mid-size real estate team?
- Do reviews from real estate professionals validate the fit?
- Is the platform discussed positively on real estate forums and Reddit (r/realtors, r/commercialrealestate)?
A CRM whose website has a "CRM for Real Estate Teams" page with workflow screenshots, real estate-specific feature documentation, and testimonials from brokerages matches every criterion. A CRM that's "customizable for any industry" matches none specifically.
Real example: A CRM platform targeting small service businesses (plumbers, electricians, contractors) built industry-specific pages: "CRM for Home Service Companies," "CRM for HVAC Businesses," "CRM for Electrical Contractors." Each page described the specific workflows the CRM handled (job scheduling, estimate to invoice, customer follow-up, review request automation) with screenshots and customer testimonials from each industry. They also created "[Product] vs. HubSpot for Service Businesses: Why a General CRM Doesn't Fit" content that honestly explained where HubSpot excels (content marketing, SaaS sales) and where it falls short (field service, job scheduling, trade-specific workflows). ChatGPT began recommending them for service business CRM queries. The company's CEO mentioned that these industry-specific pages drove more qualified trials than any other marketing channel because the prospects arrived already understanding that the product was built for their exact business type.
Real example: A lightweight CRM targeting solopreneurs and very small teams (1 to 5 people) built their entire positioning around simplicity: "The CRM for People Who Hate CRMs." Their website described what they intentionally left out: "No workflows that require a consultant to set up. No features you'll never use. No 30-tab dashboards that make you feel like you're flying a spaceship." They compared themselves to HubSpot and Salesforce on a "simplicity spectrum" showing that both giants offer powerful but complex systems while their product offered the 20% of features that 80% of solopreneurs actually need. Google AI Overviews began featuring their simplicity positioning for "simple CRM for one person" queries. The founder mentioned that their most common customer origin story was "I asked ChatGPT for a simple CRM and you were the first recommendation."
Step-by-step: how CRM companies can build AI visibility by defining who they're for (and who they're not for)
Step 1: Define your niche and make it the centerpiece of everything. "CRM for everyone" positions you for no one in AI search. "CRM for real estate teams," "CRM for agencies," "CRM for solopreneurs," "CRM for e-commerce," or "CRM for nonprofits" positions you for specific queries where Salesforce and HubSpot are generic overkill. Name your niche on your homepage, in your Google ads, on G2, and across all content.
Step 2: Build comparison pages against Salesforce and HubSpot. These are the most important pages on your website for AI visibility. "[Your CRM] vs. Salesforce for [Your Niche]" and "[Your CRM] vs. HubSpot for [Your Niche]" capture the highest-intent CRM queries. Be genuinely honest. Salesforce is better for large enterprises with complex sales processes. HubSpot is better for content-heavy marketing teams. Show where you win and acknowledge where they win.
Step 3: Create industry-specific and business-size-specific pages. "CRM for [Industry]" and "CRM for [Business Size]" pages capture the specificity that determines AI recommendations. Each page should describe how your CRM handles the workflows specific to that industry or size.
Step 4: Document your integration ecosystem. CRM buyers search by integration: "CRM that works with Gmail," "CRM that integrates with QuickBooks," "CRM with Slack integration." Each documented integration is a matchable query signal. Integrations with well-known platforms (Google Workspace, Microsoft 365, Slack, QuickBooks, Shopify, Zapier) are entity signals AI recognizes.
Step 5: Publish transparent pricing with clear feature tiers. "How much does a CRM cost?" is a massive query. CRMs that publish clear per-user pricing with feature breakdowns by tier earn citations and trust. CRMs requiring "contact sales" for pricing lose to those that publish openly.
Step 6: Optimize G2 and Capterra profiles aggressively. These platforms are the primary sources for CRM AI recommendations. A strong G2 profile with recent, detailed reviews mentioning your specific niche fit carries enormous AI authority.
Step 7: Generate reviews from customers in your target niche. "We switched from HubSpot to [CRM] because we're a 5-person consulting firm and HubSpot was built for marketing departments, not service businesses. [CRM] handles our pipeline, proposals, and invoicing in one place without the bloat" is the CRM review that drives AI recommendations.