The 90-Day GEO Roadmap for SaaS Founders

By Cory Maki · Jun 9, 2026

Roughly 80% of what gets a B2B SaaS company cited in ChatGPT, Perplexity, Claude, and Gemini lives off your own domain. That single number reorders every assumption founders carry over from the SEO era. You can rank #1 on Google and earn zero citations in AI answers — the two outcomes are scored against different surfaces, which is why they sit together without contradiction.

The stakes are no longer theoretical. AI-referred visitors convert at materially higher rates than organic search — one client benchmark put it at 14.2% against 2.8% from Google organic — yet most SaaS companies have engineered exactly zero of the off-domain assets that earn citations. This is a 90-day plan to fix that. It maps to the ARC Method I use with founders: Audit, Reddit and Reputation, Citability. Three phases, one quarter, measurable movement.

Why 90 days is the right horizon

AI search rewards recency on a tighter clock than Google ever did. In SaaS, finance, and news, pages older than three months see steep drops in citation likelihood, and more than 60% of commercial citations surface pages refreshed within the last six months. A 90-day cycle is not arbitrary — it matches the freshness window the models actually use.

The payoff is real and fast for those who move. In one audit of 500 SaaS landing pages, retrofit sites that added the four highest-leverage structural items moved an average of 1.6 quartiles in citation visibility within 90 days. One CRM vendor went from invisible to the #1 ChatGPT citation for its category in the same window by attacking its off-domain footprint in sequence. The opportunity exists precisely because the field is empty: an analysis of 177 brands across healthcare, SaaS, and financial services found that 90% of brands have zero AI search mentions. Early movers inherit disproportionate mindshare. If you want the strategic case for why this is a discipline and not a tactic, I lay it out in What Is Generative Engine Optimization (GEO)?

Days 1–30: Audit (the A in ARC)

You cannot fix a citation surface you have not measured. The first month is diagnosis, not production.

Run synthetic prompts across every engine

Manually test 10–15 buyer-intent prompts your customers would actually type — "best [category] for [use case]," "[your tool] vs [competitor]," "[your tool] alternatives" — across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Document whether your brand appears, in what position, and with what sentiment. This matters because the same brand can see citation volumes differ by a factor of hundreds between platforms, so a single-engine check will mislead you. Note which third-party domains the models cite instead of you — that list is your real competitor set.

Confirm the engines can actually read you

The most common problem I find in audits is the simplest: AI crawlers are blocked or the content renders only in JavaScript. Verify your robots.txt permits GPTBot, PerplexityBot, and ClaudeBot, and confirm your key pages serve readable HTML. I cover the failure modes in detail in Why ChatGPT Can't See Your Website.

Map your citation surface

Think in four layers: Reference (Wikipedia, Crunchbase, founder bios), Evaluation (G2, Capterra, PeerSpot, Trustpilot), Comparison (third-party "X vs Y" pages and "best of" listicles), and Validation (podcasts, case studies, organic mentions). Score where you have presence and where you have nothing. Most SaaS founders discover they have built only their own blog — statistically the smallest node in the graph.

Days 31–60: Reddit and Reputation (the R in ARC)

The single highest-leverage move in GEO is establishing authentic presence in the communities and review platforms the models already trust. This is the off-domain work that earns the 80% of citations your blog cannot.

Reddit is not optional

Across major answer engines, Reddit is consistently the single most-cited domain. A Profound study of 30 million citations found Reddit leading Google AI Overviews and Perplexity, and ranking second in ChatGPT behind Wikipedia. Community platforms like Reddit and YouTube account for roughly 48% of citations in some analyses. The point is not to spam — it is to participate genuinely in the subreddits where your category is discussed, answer real questions with real expertise, and let the threads accrue. I explain the mechanics in Why Reddit Dominates AI Search Citations.

Reviews are a hard citation lever

The review data is among the most decisive I've seen. Brands with no Trustpilot profile show a median AI citation rate of about 1%; brands with even a minimal profile — as few as 1–13 reviews — jump to 53.5%. Separately, AI-recommended products carry on average 3.6x more reviews than non-recommended ones in the same category. This is a customer-success motion, not a marketing campaign: drive recent, detailed reviews on the platform that matters for your sub-vertical. G2 dominates horizontal SaaS, Capterra carries SMB-targeted categories, and PeerSpot outweighs G2 in cybersecurity and several enterprise-IT categories. Audit before you assume.

Get into the comparison layer

Listicles and comparison content are the workhorses of AI recommendations — 8 of the 10 most-cited URLs across AI platforms in one March 2026 dataset were "Best X" listicles, and roughly 90% of third-party brand mentions originate from listicles, comparison pages, and review roundups. Earn placement in credible third-party "best [category]" articles, and note that roughly 80% of mentioned brands appear within the first three positions of those pages. Position inside the listicle matters as much as inclusion.

Days 61–90: Citability (the C in ARC)

Once your off-domain surface is moving, make your own pages trivially easy for a model to lift. This is where on-site structure earns its place — not to rank, but to be quoted.

Lead with the answer

Around 89% of AI-cited sources answer the core question within the first 100 words, and 44% of LLM citations come from the first third of a page. Put the conclusion up top. Open every key page and section with a self-contained, declarative claim a model can extract without context. Add a Key Takeaways block the engine can lift cleanly.

Structure for extraction

Nearly 80% of pages cited within ChatGPT include lists, and LLMs retrieve structured tables markedly more reliably than paragraph prose. Use sequential headings, comparison tables for "vs" content, and question-style H2s that mirror how buyers actually prompt. Pages combining clear hierarchy with rich schema show meaningfully higher citation rates — about 61% of cited pages use three or more schema types. Implement FAQPage schema on your highest-value pages; it is the structured-data element with the clearest GEO payoff. The full method is in How to Make Your Content Citable by AI.

Add proof, then keep it fresh

Content with statistics, citations, and quotations earns 30–40% higher visibility in AI responses. Back every claim with a number, a date, and a source. Then protect it: pages not updated quarterly are roughly 3x more likely to lose citations, so refresh your comparison and commercial pages on the 90-day clock and update "as of 2025" to the current year explicitly.

Track the right metrics from day one

Forget rankings and raw sessions. Measure citation share of voice (how often you appear versus competitors), source URL inclusion (which of your pages get pulled), prompt coverage (how many buyer prompts include you), and sentiment. Re-run your synthetic prompt set monthly — 40–60% of cited sources rotate month to month, so this is a standing process, not a one-time audit.

None of this requires a large budget. It requires sequence and consistency. GEO builds on SEO fundamentals rather than replacing them — a debate I work through in The "GEO Is Just SEO" Debate — Where I Stand. The founders who win the next 18 months are not the ones with the most content. They are the ones who engineered all four layers of their citation surface while everyone else kept publishing to the smallest node in the graph.