Frequently Asked Questions

Engagements start at $7,500 per month with an initial six-month term, then month to month. Full detail in the SaaS SEO and homepage FAQs.

Because the work compounds. The first months build the foundation: research, roadmap, baselines, and the first waves of content and fixes. Six months gives that work time to show up in rankings, citations, and pipeline, and it lets us dedicate senior people to your account properly. After the initial term, everything runs month to month.

Most engagements run six to eight content assets per month, mixed between full drafts and outlines, alongside ongoing audits, page optimizations, technical recommendations, and the weekly intelligence cycle. The mix flexes with your team's capacity and the roadmap's priorities.

Yes. If you have writers, we can weight the mix toward outlines and briefs your team executes, and spend the difference on more topics, deeper research, or link support. Tiers are starting points, and we shape them around the resources you already have.

Link building runs as a focused add-on: a set number of placements per month aimed at the specific URLs where authority will accelerate movement. We keep volumes deliberately conservative. A few strong links against priority pages beat a spray of weak ones.

Yes. Plenty of clients start with a core scope and add areas as results come in: more content velocity, link building, additional product lines. We price add-ons per area so you can expand the parts that are working.

Yes, and we tell you when that's realistic. Some engagements build the full framework, roadmap, templates, tracking, and playbooks, inside six to nine months, and the internal team runs with it from there. Others keep us on for strategy and production long-term. Both are wins.

A senior strategist runs point, an account manager keeps everything moving, and our head of content owns every piece that ships. Meet the humans on the About page.

Onboarding runs on a kickoff questionnaire and call: we collect brand docs, personas, product context, and sales call recordings, and connect Google Search Console, GA4, and your CRM. From there, month one delivers your keyword and prompt roadmap, a GEO baseline with tracked prompts across the models, your first LLM source gaps and brand inaccuracies, a technical audit with a priority log, and a backlink gap analysis. Content production starts as soon as the roadmap is approved.

Leading indicators typically show inside 90 days: rankings movement, new citations, higher-intent traffic. There's a ramp while content gets indexed and the models re-encounter your brand, then the curve compounds. AI citations often move faster than traditional rankings, sometimes within weeks of the right content or placement.

The clients who get the best results operate on a cadence: content approvals within three business days, approved content published within ten business days, one to two keyword-focused pieces live per week, technical fixes implemented within two weeks, one point of contact, and access to Search Console, GA4, and CRM data. Speed of implementation is the single biggest factor we see in outcomes.

Read access to Google Search Console and GA4 through service accounts, and CRM reporting data where available. Access is used for analysis and reporting only, every query is scoped to your organization, and your data stays yours.

Deliverables move through the platform with clear review states: you see what's ready, approve or request changes, and everything is tracked. Approval windows keep the pipeline moving so a busy week on your side never silently stalls a month of production.

A centralized dashboard tracks organic and AI-driven traffic and conversions, rank reports cover every priority keyword, and AI visibility tracking shows mention rate, citations, and share of voice against competitors, all live. We meet twice monthly, run a strategy review every 90 days, and keep a shared Slack channel for everything in between.

Biweekly calls, a shared Slack channel for the space between them, and a 90-day strategy review to step back and re-aim. Your account manager makes sure nothing said on a call falls through the cracks.

After the initial six-month term the engagement is month to month. Everything produced during the engagement is yours: content, briefs, research, reports, and data.

Models retrieve from pages that already rank, sources they've learned to trust, and formats they can lift cleanly: structured, self-contained answers. Google AI Overviews cite top-10 organic results over 93% of the time, and ChatGPT leans on Bing's index. The full mechanics are in our LLM SEO guide.

Cover your topic completely on pages that rank, structure content in extractable chunks, and earn presence on the third-party sources models already cite for your category: review platforms, communities, and listicles. Our LLM SEO guide walks through the five levers.

Find the queries where models answer without citing you, then close each gap at its source: a better page on your site, a placement on the third-party source the model prefers, or a correction where it misreads you. Measured weekly, this compounds like rankings do.

Yes. Model descriptions come from sources, your site and the third-party pages models trust. Fix the source and the description follows. We track inaccuracies per model, trace them to their origin, and correct them there.

Strongly. Brand mentions across trusted sources correlate with AI visibility about three times more strongly than backlinks. Models repeat what the sources they trust say about you, which is why offsite presence is half of any serious GEO program.

Run a fixed prompt set across the models on a schedule and track who gets named, where, and how often. Virayo AI does this weekly: mention rates, positions, and share of voice for your brand and every tracked competitor, side by side.

SEO earns rankings in search results; GEO earns citations and recommendations in AI answers. They share one foundation, which is why we run them as one program.

Google's own guidance is that quality matters, whoever or whatever drafted it. Helpful, accurate, well-sourced content performs; thin content fails, human-written or not. Our process reflects that: every piece is edited and owned by a human editor against your brand standards before it ships.

Pipeline. TestRail earns 25-30 qualified trial signups a month from LLMs, and AI referrals convert at multiples of organic search visitors because they arrive pre-informed. See the TestRail case study.

Five numbers, tracked weekly against named competitors: mention rate, citation rate, average position, share of voice, and inaccuracies. Tie them to pipeline with AI referral traffic and conversions in your analytics. Virayo AI tracks all of it.

The AI search optimization and GEO platform behind every Virayo engagement. Full tour at virayo.com/virayo-ai.

A 0-100 composite of how visible your brand is in AI answers, weighted across mention rate, average position, citation rate, and share of voice. One number to trend, four levers underneath it.

A model cited your content as a source but left your brand out of its answer. You did the work and someone else got the recommendation. The platform flags every instance so we can close the gap.

ChatGPT, Claude, Gemini, and Perplexity, plus Google AI Overviews, across both what the models already know and what they find when they search live.

The full cycle runs weekly: crawl, enrichment, audits, rankings, prompt tracking, AI visibility audit, recommendations, and the performance report. Buyer research runs monthly.

No. It's incremental: it reads your sitemap, detects real content changes with a lightweight check, and only re-crawls pages that actually changed.

Eleven signal types: content and technical audits, crawlability, internal links, GEO inaccuracies, AI opportunities, keyword gaps, new content, refresh opportunities, Reddit threads, and buyer discoveries, each scored by impact and effort and ranked by business impact.

The dashboard, content library, calendar, and deliverables tracking, plus the full insights suite: AI visibility audits, keywords, recommendations, traffic comparison, technical and content audits, internal linking, Reddit opportunities, and a custom query explorer.

Yes, through MCP. Connect Claude and ask in plain language: how visibility is trending against a competitor, which pages lost clicks this week, where your top content gaps are. Nineteen tools cover everything the platform tracks, including live Search Console and GA4 pulls.

Post-product-market-fit B2B SaaS companies, usually vertical category leaders. Details on the About page.

Yes, and it's common: your writers execute our outlines, your monitoring tools keep running, your designers own visuals. We shape the deliverable mix around what your team covers and fill everything else.

Software, healthcare, logistics, and fintech. Each has its own page: software, healthcare, logistics, fintech.

Yes. SaaS PPC runs alongside SEO and GEO for clients who want one roadmap across all three.

Common situation. We use the pre-kickoff window to prepare: access checklists, roadmap groundwork, and scheduling so kickoff lands the day you're clear. Procurement calls, security reviews, and reference checks all fit in that window.

WordPress, Webflow, HubSpot, and custom stacks. We have active clients on each, and recommendations always come with implementation guidance for your specific platform.

Astro. It ships fast, clean static pages that Google and AI crawlers read effortlessly, and its plain-file structure means AI agents like Claude can work on the site directly: new pages, links, and copy changes go live in minutes instead of tickets. We run virayo.com on it. That said, we work happily with whatever you have, WordPress, Webflow, and HubSpot included.

Start before it ships. The highest-leverage search decisions in a redesign, architecture, URL structure, redirects, and what content survives, get made before launch. Retrofitting them afterward costs rankings you didn't need to lose.

Yes. Recovery is a defined playbook: fix redirect chains, force recrawls of priority pages, refresh the assets that lost the most visibility, and track the recovery weekly. We've run it for clients through full domain changes.

Yes, with dedicated formats for head-to-head comparisons, alternatives roundups, and listicles. They're among the highest-converting pages in B2B SaaS and among the most-cited formats in AI answers.

Yes, that's a core GEO motion: identify exactly which third-party sources the models cite for your buyers' queries, then earn placements there through outreach, PR, and review platforms.

Yes, during evaluation we connect serious prospects with current clients in similar situations. The case studies are the public version.

The free AI visibility audit is the standard starting point, and it's genuinely useful standalone. Beyond that, we work in ongoing engagements, because the results come from the weekly cycle, not a one-time report.

For scale, not judgment. AI runs the research, auditing, and analysis that would take humans weeks: weekly crawls, prompt tracking across models, gap analysis. Strategy, editorial standards, and every shipped deliverable are owned by people whose names you'll know.