Half of SaaS users now ask AI for recommendations. Is your product in the answer?
We help SaaS companies become the product that AI recommends when buyers ask “what’s the best tool for X?” Not through technical tricks — through the earned authority that AI actually trusts.
Trusted by global brands
THE SaaS Sales PROBLEM
Your buyers start in AI. Your product doesn’t.
Problem 01
Half of SaaS buyers now start in AI, not Google.
According to G2, 50% of B2B software buyers now begin their research in LLMs instead of Google. When a product manager asks ChatGPT for the best SaaS, they get a shortlist of 3–7 products. If yours isn’t on it, you never entered the consideration set.
Problem 02
Your Google rank doesn’t translate to AI.
You rank on page one but ChatGPT recommends your competitor. AI models don’t mirror search rankings — they evaluate independent third-party sources. Strong SEO without distributed authority means you’re winning the old game and losing the new one.
Problem 03
AI converts 4–6x better than organic search.
Traffic from AI search converts at 4.4x the rate of traditional organic search (or even higher for some niches). AI visitors arrive with higher intent — they’ve already been pre-qualified by the recommendation. Every missed AI mention means lost revenue and higher CAC.
Problem 04
Your competitors are already building AI visibility.
Open ChatGPT right now and ask for recommendations in your category. See a competitor’s name? They’ve most likely figured out what AI needs to see before recommending a product. Every week you wait, their citation lead grows harder to close.
Enter Authority GEO
In SaaS, your landing page is just a claim. AI needs proof.
SaaS purchasing decisions are increasingly shaped by AI at every stage. According to G2, 87% of B2B software buyers say AI chatbots like ChatGPT are changing how they research software. GenAI tools now rank as the #1 source influencing vendor shortlists at 17.1% — outranking review sites, vendor websites, and even peer recommendations.
This is why an authority-first approach matters more in SaaS than in almost any other category. AI models don’t recommend software based on keyword optimization or structured data alone. They recommend products they can verify through independent sources — because that’s how human buyers make decisions, and AI is designed to emulate that process.
In our research, we found a consistent pattern: the products AI recommended most frequently were the ones easiest to corroborate. They appeared in editorial coverage, on curated listicles, in consistent review profiles, and across industry directories. Products that relied solely on their own website — without that distributed third-party footprint — were recommended less often, regardless of their Google position.
AI doesn't guess.
It verifies.
The authority signals AI checks before recommending a SaaS product.
Most SaaS companies have some of these. Almost none have all of them structured for AI extraction.
Editorial coverage in the publications your users trust.
Your product needs to appear in the publications and roundups SaaS buyers actually consult — tech media, industry comparison sites, and “best X tools” lists. Onely research shows listicles achieve a 25% citation rate in AI Overviews versus 11% for standard blog posts. Contextually matched inclusions — tied to your specific category and use case — drive recommendations far more effectively than generic mentions.
Content structured for how AI processes SaaS queries.
When a buyer asks AI to recommend a tool, the model works through internal stages: discover possible options, compare them, validate claims, and choose the best fit. Each stage requires a different kind of content asset — comparison pages, alternative pages, use-case guides, feature documentation — and most SaaS companies are only covered for one or two stages at best.
Consistent entity signals across every platform.
AI cross-references your product’s information across G2, Capterra, Crunchbase, Product Hunt, LinkedIn, your website, and industry directories. If your G2 profile says one thing, your website says another, and your Crunchbase tells a third story, the model loses confidence and defaults to a competitor with cleaner signals.
Review presence on the platforms that matter.
G2, Capterra, TrustRadius, and Trustpilot are among the most heavily cited sources in AI recommendations for software. G2 ranks as the 4th most-cited source in ChatGPT responses across the tech category. A product with 200 recent G2 reviews will be recommended over a product with 5 — regardless of which one is actually better.
How SaaS Buyers Use AI
Four stages. If you’re missing from any of them, you lose.
| Stage | What the buyer asks AI | What AI needs from you |
|---|---|---|
| Discover | "What are the best firms for X?" | Presence in listicles, editorial coverage, and category content that establishes your firm as a known option |
| Compare | "Firm A vs Firm B for my use case" | Comparison content, differentiated positioning, and review presence that gives AI clear points of distinction |
| Validate | "Is Firm A reputable? Any red flags?" | Reviews, case studies, third-party mentions, and awards that AI can cite as independent proof |
| Choose | "Which firm is best for a company like mine?" | Use-case specific content, decision guides, and consistent entity signals that match the buyer's context |
OUR SaaS APPROACH
The full GEO and PR program, built for SaaS.
Organic PR
We secure editorial coverage and listicle inclusions in the publications SaaS buyers actually consult, matched to your geography and category. This is the highest-impact vector for SaaS in 2026 because listicles achieve a 25% citation rate in AI Overviews versus 11% for standard content.
Review Stimulation
We build your presence on G2, Capterra, TrustRadius, Trustpilot, and Product Hunt. For SaaS products, review presence is often the single biggest gap between products that get recommended and products that don’t. We design ethical review generation systems that produce fresh, detailed reviews consistently.
Specialized GEO Content
We create comparison content, alternative pages, category guides, and decision resources structured for AI extraction. When a user asks AI to compare your SaaS product against competitors, your content gives the model clear, authoritative information to draw from — naturally positioned in your favor.
Social Chatter
We build visibility on Reddit, X, LinkedIn, Hacker News, and niche SaaS communities where product discussions happen. AI models reference these discussions when evaluating credibility. A distributed pattern of consistent public discussion about you is worth more than any on-site claim.
In-house Channel Optimization
We ensure your website, directory listings, and profiles are consistent, structured, and machine-retrievable — from structured data and llms.txt deployment to entity consistency across G2, Capterra, Crunchbase, Product Hunt, LinkedIn, and other relevant directories for your industry and region.
Targeted Paid Press Releases
We amplify key milestones — new features, funding rounds, partnerships, customer wins, market expansion — through premium distribution channels that AI models index. Particularly effective for SaaS companies with a steady stream of developments worth amplifying.
How we work
From invisible to recommended – tailored to software services.
Step 01
Discovery
We test your firm across hundreds of prompts B2B buyers actually use — “best software for X,” “firm A vs firm B,” “top SaaS for…” We map where you appear, where competitors appear instead, and audit your review presence, editorial footprint, and entity consistency.
Step 02
Strategy
Based on the audit, we build a prioritized roadmap. For some SaaS firms the biggest gap is review presence. For others it’s editorial coverage or entity inconsistency. The strategy is shaped by your specific findings and vertical — not a generic template.
Step 03
Execution
Simultaneous execution across all relevant vectors. PR campaigns targeting your industry’s key publications. In-house content optimized. New GEO content pieces published. Directories published. Entity signals aligned across platforms.
Step 04
Iteration
Continuous citation tracking across all major AI platforms. Monthly reports showing which prompts trigger your firm, which don’t, and what competitors are doing. Quarterly strategy reviews to adjust priorities based on what’s working and what isn’t.
Get Started
Find out if your brand is AI-ready.
Free Audit
Get a free AI visibility audit assessing your content, technical structures, and more. See exactly where you stand in under 48 hours.
No commitment. No retainer. Just data.
What it includes:
- AI citability & visibility score
- Technical foundations & data review
- Content & EEAT audit
- Optimization score for specific platforms
- Action Plan
How we think
Whether you’re pre-seed or Series D, AI visibility follows the same rules.
We work with SaaS companies across verticals and company stages — from early-stage startups to established platforms. If your product depends on being found and trusted by buyers researching options, GEO applies to you. Here are some of the product types we’ve worked with:
- B2B SaaS platforms and tools
- Vertical SaaS (healthcare, fintech, legal tech, HR tech, real estate tech)
- Developer tools and API platforms
- Marketing and sales technology
- Project management and collaboration tools
- Cybersecurity and compliance platforms
- Analytics and business intelligence
- AI and automation tools
The principle is the same regardless of category or stage: AI recommends the products it can verify through independent sources. Your landing page is a claim. We build the verification layer.
Case Studies
Real results for real SaaS companies.
Case Study 01
From invisible to top recommendation.
The Context:
This B2B SaaS client occupied top Google ranks but still wasn’t recommended by ChatGPT, Gemini, and Co.
The Outcome:
Less than a year later, it is now being recommended and cited across all major AI tools for its most crucial prompts.
Thanks to PolyGrowth, our local business is ranked #1 on Google for our most important keywords and has been recommended as the best option on ChatGPT for 2+ years now.
We really enjoyed working with the PolyGrowth team. The results were exactly as promised and we look forward to our next project with them.
"We highly recommend Simon and the PolyGrowth team. They were extremely easy to communicate with and provide an exceptional service with great turnaround time. We will continue to use their services long term and would encourage anyone else to do the same."
FAQs
Frequently asked questions about GEO for SaaS.
According to G2’s 2025 Buyer Behavior Report, 87% of B2B software buyers say AI tools like ChatGPT are changing how they research software, and 50% now start their buying journey in an AI chatbot instead of Google. GenAI tools now rank as the #1 source influencing vendor shortlists at 17.1% — ahead of review sites, vendor websites, and peer recommendations. Buyers use AI across the full journey, from initial discovery through comparison and validation. Much of this activity happens outside your direct view.
G2 and Capterra are the most heavily referenced by AI models for software recommendations. G2 ranks as the 4th most-cited source in ChatGPT responses across the tech category. TrustRadius, Trustpilot, and Product Hunt also carry weight. 90% of higher-intent buyers click through to cited sources when they encounter AI Overviews — meaning reviews aren’t just signals for AI, they’re also conversion assets. Our audit identifies exactly which platforms AI references for your specific product category.
Ranking on Google and being recommended by AI are different things. AI models don’t mirror search rankings — they evaluate distributed third-party evidence: editorial mentions, reviews, listicle inclusions, and entity consistency across directories. A product can rank #1 on Google and still be absent from AI answers if its third-party footprint is thin. Many SaaS companies experienced traffic declines in 2024–2025 despite maintaining Google rankings — because AI overviews and zero-click searches now account for a growing share of queries. We’ve seen this repeatedly in our research.
Yes — and often more easily than in traditional search. AI models value specificity and verifiability over brand size. A niche project management tool for construction teams, with strong G2 reviews and coverage in construction trade media, can outperform Monday.com or Asana for construction-specific queries. AI recommendations favor the most relevant, verifiable answer — not the biggest brand. Specialists win in AI.
We track citation frequency, recommendation positioning, and sentiment across all major AI platforms using prompt-by-prompt monitoring. Monthly reports include competitive benchmarking, trend analysis, and gap identification. We measure what matters: how often AI recommends the brand, in what context, and how that changes over time.
ChatGPT dominates at 47% preference among software buyers — roughly 3x any other model. Perplexity is especially influential for "compare tools" and "best tools" queries because of its citation-heavy, search-like experience. Google AI Overviews affect over half of B2B keywords, and Gemini integrates directly into the Google ecosystem. Each platform cites different sources — only about 11% overlap — which is why a multi-platform strategy is essential.
It depends on your starting point. Products with existing editorial coverage and reviews can see initial citations within weeks on real-time platforms like Perplexity and ChatGPT. Products starting from zero need 2–3 months to build the foundational authority layer. Category leadership in a specific SaaS niche typically takes 6–12 months of sustained effort. Content updated recently receives significantly more citations than stale pages, so recency matters.
Traditional SaaS SEO focuses on Google rankings through content, links, and technical optimization. We do that too — but we also select publications informed by AI citation data, structure placements for AI extraction, build review and entity presence alongside editorial coverage, and track the impact on AI recommendations specifically. The PR work serves a dual purpose: building reputation with humans and building recommendation confidence with AI models.