New brands don't inherit authority. They have to build it.
We help startups build AI visibility from scratch — the editorial coverage, review presence, and authority signals that get new brands recommended by ChatGPT, Perplexity, and Gemini before competitors lock in their positions.
Trusted by global brands
THE Startup Challenge
You built a great product, but AI doesn’t know it exists.
Problem 01
AI Can’t Recommend What It Can’t Verify.
You have a strong product, early traction, and happy users. But AI models don’t recommend brands based on what your website claims. They recommend brands they can verify through independent sources. Without these, you’re invisible to the fastest-growing discovery channel in the market.
Problem 02
Your Competitors Are Building Authority.
While you’re focused on shipping features, competitors in your category are securing media coverage, collecting reviews, and building the third-party footprint that AI models reference. Once positions solidify, they become exponentially harder to displace.
Problem 03
Traditional Marketing Won’t Get You Into AI Answers.
Social media and content marketing are only a small part of what influences what AI recommends. Independent, third-party evidence is the lion’s share. Spending $50K/month on ads but with zero PR coverage and no reviews is invisible to the AI systems that many buyers now use before purchasing.
Problem 04
In 2026, Investors Check AI Too.
It’s not just customers. Investors increasingly use AI tools to research potential investments, evaluate market positioning, and assess brand credibility. A startup that AI recommends with confidence in its category signals market traction and authority — both of which also attract funding.
Enter Authority GEO
Startups don’t have legacy authority. They have to build it deliberately.
Established companies can coast on years of accumulated media mentions, reviews, and brand signals. Startups can’t. Every authority asset needs to be built from scratch — and built in the right order.
This is where most startups get it wrong. They assume authority comes naturally from a good product and time. In reality, AI visibility requires a deliberate, structured campaign to create the independent evidence that AI models need before they’ll recommend a new brand.
According to Muck Rack, 89% of LLM citations come from earned sources, including 27% from journalistic outlets. This means the publications that PR secures placements in are exactly the sources AI draws from when making recommendations.
For startups, this creates an unusual opportunity: a well-executed PR and authority-building campaign can put a new brand on AI’s radar faster than any other marketing channel.
AI doesn't guess.
It verifies.
The authority signals AI checks before recommending a product.
Most startups have almost none of these. That’s both the challenge and the opportunity.
Editorial coverage in the publications your users trust.
For a startup, even a small number of targeted placements in the right publications can dramatically shift AI’s perception. A feature in a respected industry outlet, a listicle inclusion in a “best tools for X” roundup, or a founder profile in a business publication creates the independent evidence AI needs. Contextually matched coverage — tied to your specific category and geography — is far more effective than generic press.
Content structured for how AI processes SaaS queries.
When a buyer asks AI to recommend options in your category, the model works through stages: discover possible options, compare them, validate claims, and choose the best fit. Startups typically have no content addressing the compare or validate stages — leaving AI with no basis to recommend them even if the product is superior.
Consistent entity signals across every platform.
AI cross-references your brand across Crunchbase, LinkedIn, Product Hunt, your website, and directories. For startups, incomplete or inconsistent information across these platforms is the norm — and it’s one of the easiest problems to fix with immediate impact on AI visibility.
Review presence on the platforms that matter.
AI models heavily reference review platforms when making recommendations. For startups, the challenge is going from zero reviews to a credible presence on G2, Capterra, Trustpilot, Product Hunt, or Google Business. Even 10–15 genuine, detailed reviews can be enough to trigger initial AI recommendations in a specific niche.
How Customers 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 startups.
Organic PR
We secure editorial coverage and listicle inclusions in the publications that matter for your category. For startups, even 5–10 strategically placed articles can transform AI’s perception of your brand. We focus on contextually matched placements tied to your specific market.
Review Stimulation
We build your presence on G2, Capterra, Trustpilot, Product Hunt, and Google Business from zero. For startups, review presence is often the single biggest unlock, the difference between being recommended and being invisible. We design ethical review generation systems tailored to early-stage companies.
Specialized GEO Content
We create comparison content, alternative pages, use-case guides, and decision resources structured for AI extraction. When a buyer asks AI how your product compares to established competitors, your content gives the model clear, authoritative information that positions you as a credible alternative.
Social Chatter
We build visibility on Reddit, X, LinkedIn, Hacker News, Product Hunt discussions, and niche communities where early adopters discover new products. For startups, community buzz is especially powerful — AI models treat genuine user discussions as strong credibility signals that complement editorial coverage.
In-house Channel Optimization
We ensure your website, directory listings, and profiles are consistent, structured, and machine-retrievable. Consistency across Crunchbase, Product Hunt, LinkedIn, AngelList, and other relevant platforms. For startups, getting this right early prevents the inconsistency problems that become harder to fix as you grow.
Targeted Paid Press Releases
We amplify key milestones — funding rounds, product launches, partnerships, customer wins, market expansion — through premium distribution channels that AI models index. Startups have a natural cadence of newsworthy events that, when properly amplified, create fresh authority signals AI values.
How we work
From invisible to recommended – tailored to startups.
Step 01
Discovery
We test your brand across hundreds of prompts buyers actually use in your category. We map where you & your competitors appear, and identify authority gaps. We also audit your review presence, editorial footprint, entity consistency, and community signals.
Step 02
Strategy
We build a prioritized roadmap. For most startups, the first priority is establishing a baseline of editorial coverage and review presence. The strategy is shaped by your specific category, competitive landscape, and stage — 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 C, AI visibility follows the same rules.
We work with startups across stages and verticals — from pre-launch companies preparing for market entry to growth-stage startups scaling into new markets. If your brand depends on being discovered and trusted by buyers or investors, GEO applies to you. Here are some of the startup types we’ve worked with:
- Pre-launch and stealth-mode startups preparing for market entry
- Seed and Series A companies building initial market presence
- Growth-stage startups expanding into new categories or geographies
- VC-backed companies needing to demonstrate market traction
- B2B SaaS startups competing against established incumbents
- Fintech, healthtech, and deep tech startups in regulated markets
- AI and automation startups building credibility in a crowded space
- Marketplace and platform startups building two-sided trust
The principle is the same regardless of stage or vertical: AI recommends the brands it can verify through independent sources. Your pitch deck is a claim. We build the verification layer.
Case Studies
AI Visibility Success Stories Driven by Authority Building.
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 startups.
According to G2, 50% of B2B software buyers now start their research in AI chatbots like ChatGPT instead of Google, and 94% of B2B buyers used LLMs during their purchasing journey in 2025. When a buyer asks AI for recommendations in your category, the model generates a shortlist based on what it can verify through independent sources. Startups without editorial coverage, reviews, or third-party mentions simply don’t appear in these shortlists — regardless of how good their product is.
It depends on your category, but G2 and Capterra are the most heavily cited by AI for software recommendations. Product Hunt is particularly valuable for startups because it signals early adopter traction. Google Business reviews matter for startups with any local component. Trustpilot carries weight in certain categories. Our audit identifies exactly which platforms AI references for your specific category — and we prioritize accordingly rather than spreading thin across all of them.
Yes — and often faster than you’d expect. AI platforms like Perplexity and ChatGPT with web browsing pull fresh content in real time. A startup that secures 3–5 editorial placements, builds initial review presence, and optimizes its entity signals can start appearing in AI answers within weeks for specific niche queries. The key is starting with a focused niche rather than trying to compete for broad category terms immediately.
Yes — and this is one of the biggest opportunities in AI visibility. AI models value specificity and verifiability over brand size. A startup that specializes in expense management for construction companies, with strong G2 reviews and coverage in construction trade media, can outperform SAP or Oracle for construction-specific queries. AI recommendations favor the most relevant, verifiable answer. Niche authority beats broad brand recognition 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 buyers — roughly 3x any other model. Perplexity is especially valuable for startups because its citation-heavy approach means fresh editorial coverage gets surfaced quickly. Google AI Overviews affect over half of B2B keywords. Each platform cites different sources with only about 11% overlap, which is why a multi-platform strategy matters even for early-stage companies.
For startups with some existing coverage or reviews, initial citations can appear within weeks on real-time platforms. Startups building from zero typically need 2–3 months to establish the foundational authority layer. Becoming the go-to recommendation in a specific niche typically takes 6–12 months. For businesses in smaller niches and regional markets, meaningful results can come within weeks to months.
Traditional startup PR focuses on generating coverage for awareness, investor signaling, and reputation building. We do all of that — 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. Every placement serves a dual purpose: building reputation with human audiences and building recommendation confidence with AI models.