Most ROI calculators in 2026 are sales tools dressed as math. They take three inputs the prospect cannot verify, multiply by a constant the vendor chose, and produce a number designed to anchor the conversation. The CFO knows this. The CFO also wants the math, not the dashboard.
This page is the methodology behind ConnectEra’s Migration ROI Calculator. The calculator itself ships later in 2026 as a chained tool that takes the output of the Platform Limitation Checker, runs it through four user-editable inputs, and produces a 12-month dollar delta with the payback period against the NorthEra build cost. Every assumption is shown. Every assumption is editable. The transparency is the product.
What is the Migration ROI Calculator methodology?
The Migration ROI Calculator combines four user-editable inputs — detected platform, monthly organic visitors, AOV, and current conversion rate — and runs them through four published-source benchmarks: PageSpeed Matters’ 12-platform CWV pass-rate deltas, the per-vertical AI citation share lift study (Haute MD, FlyDragon, 5W), Search Engine Land’s 31% AI conversion premium, and the $1,990-$4,990 NorthEra build cost. Output is a 12-month dollar delta and a payback period the CFO can audit assumption by assumption.
The pricing benchmark frames the entire calculator. Per ConnectEra’s 2026 competitive pricing scan, basic GEO hygiene retainers run $1,500/mo, mid-market GEO retainers $3,000-$10,000/mo, and one-time GEO audits $1,500-$5,000. Upper-mid tooling sits at $399-$699/mo (Profound Growth, Ahrefs Brand Radar bundle); enterprise tooling like Profound Enterprise, Bluefish, and Adobe LLM Optimizer ships at $3,000-$10,000+/mo. The NorthEra build at $1,990-$4,990 sits below even a single one-time audit at a boutique GEO shop while delivering a permanent platform fix instead of a recurring monitoring layer. The payback line in the calculator measures against this number, not against a recurring retainer.
Why generic GEO ROI calculators fail in 2026
The GEO tooling market has calculators. Profound has dashboards. Bluefish has share-of-voice charts. Discovered Labs ships a blog walkthrough analog. None of them project the dollar delta from migrating off the platform that is capping the citation in the first place. They measure the leak; they do not price the boat.
This is the gap the Migration ROI Calculator fills. No tool in 2026 combines all four of these inputs into one model: detected platform, CWV pass-rate delta benchmark, AI citation share lift benchmark per vertical, and conversion uplift on AI traffic. Profound, Bluefish, Athena, Goodie, Otterly, Peec, Scrunch, Ahrefs Brand Radar, Semrush, and Mangools all run prompt sets and report competitor share — table stakes. None of them tell the prospect what the dollar delta is from leaving Wix Studio for a static build, with the math shown.
The other failure mode is verticals. Generic calculators treat AI citation lift as one number — usually a flattering 5-10x — and apply it to every prospect. The 2026 reality is that the gap is different in every vertical. Per Haute MD/5W’s April 2026 Aesthetics Index, the top 15 medical-aesthetic brands capture roughly 62% of total AI citation share; the average independent medspa lands below 1%. Per FlyDragon’s April 2026 real-estate benchmark, the top 1% of agents capture 47% of all AI citations and 71% of US metros have no single agent above 15% citation share. Per the 5WPR/Haute Lawyer April 2026 report, seven directories own the legal AI citation layer at 70-85%. A calculator that uses one number for every vertical hides the most important variable.
The third failure is platform-blindness. The same site moved from Squarespace 7.1 (34% CWV pass rate, 3.6s median mobile LCP per PageSpeed Matters 2026) to a static Astro build (sub-1.8s LCP, 100% pass rate by definition) recovers traffic that the Squarespace floor never let it earn. A calculator that takes “current organic traffic” as a static input misses the recovery side of the delta entirely. The migration is not just a citation play. It is a CWV fix that lifts the Google traffic baseline, then layers the AI citation lift on top.
For the underlying CWV pass-rate deltas the calculator uses, including the 12-platform 2026 leaderboard ranking every major CMS, see the cross-hub piece.
What four inputs does the calculator use?
The Migration ROI Calculator takes four inputs, all user-editable, three of them defaulted from the prospect’s own site. (1) Detected platform — chained from the Platform Limitation Checker, defaults to whatever the prospect’s site is built on. (2) Monthly organic visitors — defaulted from the user’s GA4 or estimated from third-party traffic data. (3) AOV or LTV — defaulted from a vertical median, user-editable. (4) Current conversion rate — defaulted from a vertical baseline, user-editable. Every default has a source link.
The 4-input model: platform / visitors / AOV / conversion
The platform input is the load-bearing one. The Migration ROI Calculator chains directly from the Platform Limitation Checker, which detects the prospect’s CMS and returns a structured signature — Wix Studio, Squarespace 7.1, WordPress + Elementor, Shopify Liquid, Webflow, Framer, Duda, GoDaddy, HubSpot CMS Hub, Shopify Hydrogen, or static. The calculator uses that signature to pull the right CWV pass-rate delta from PageSpeed Matters’ 2026 platform comparison: Webflow 58% pass / 2.4s median LCP, Wix Studio 52% pass / 6.8s LCP, WordPress 58% pass, Squarespace 7.1 34% pass / 3.6s LCP, Shopify Liquid mid-range, WooCommerce 31% pass — the worst of major e-commerce platforms.
The traffic recovery component of the dollar delta is computed from this. Moving a Squarespace 7.1 site (34% CWV pass) to a static Astro build (effectively 100% pass) recovers a measurable fraction of indexed pages that were sitting below the CWV threshold for ranking in 2026. The exact recovery rate is a sensitivity input the user can adjust, defaulted to the gap between the prospect’s platform pass rate and the post-migration pass rate, weighted by how much of their traffic comes from CWV-sensitive query types.
The visitors input defaults to whatever GA4 reports for monthly organic sessions, with a warning if the platform is one where GA4 is known to under-report — specifically, the 60-70% of ChatGPT-referred sessions hiding in the Direct bucket per MarTech’s 2026 analysis. For the full anatomy of the GA4 AI referral blind spot, see the sibling cluster piece. The default assumption is that 1-3% of total traffic is AI-referred (the cross-vertical 2026 baseline per The Stacc); the user can override with server-side detection.
The AOV/LTV input is vertical-defaulted. A financial advisor at 1% AUM on a $5M client defaults to $50,000 annual LTV; a med-spa Botox client at $600 average ticket and 4 visits per year, $2,400; a B2B SaaS at $30,000 ACV adjusts for 25% MQL-to-closed-won. Every default has a source-named tooltip. The CFO sees what we picked and changes what they want.
The conversion rate input defaults to the prospect’s baseline non-branded organic conversion rate from GA4. The calculator does not assume the AI conversion rate; it computes it. The premium applied is the conservative 31% from Search Engine Land 2026 (1.81% vs 1.39% non-branded organic), not the 42% Adobe figure or the 4.4× Seer figure that include branded traffic. The 31% number is the one the CFO will not push back on. For the full defense of the 31% number end to end, see the sibling cluster piece.
Why use the conservative 31% number, not the Adobe 42%?
Because the CFO cannot defend a number that includes branded traffic. The 31% Search Engine Land figure isolates a stranger arriving from ChatGPT against a stranger arriving from non-branded Google organic — apples to apples. Adobe’s 42% includes brand-aware AI traffic, which inflates the lift. The calculator uses 31% as the central case and exposes 42% as a sensitivity slider. The model is defensible at 0% premium, plausible at 31%, optimistic at 42%.
The 4-output delta: traffic / citation / conversion / payback
The calculator produces four output lines, each derived from a separate published source, each editable by the user.
Output 1: Traffic recovery from CWV fix. The dollar value of the organic-traffic uplift from moving the prospect’s platform to one that clears all three Core Web Vitals. The math is the prospect’s current monthly organic sessions times the gap between their platform’s CWV pass rate and the post-migration pass rate, times their current conversion rate, times their AOV. For a Squarespace 7.1 site at 50,000 monthly organic sessions, a 34% pass rate gap to clear, a 1.4% non-branded organic conversion rate, and a $30,000 B2B SaaS ACV: the recovery component lands in the $250K-$700K annual range depending on how much of the gap is closeable in the first 12 months. The user can flatten this to zero if they do not believe the CWV-recovery argument. The output adjusts.
Output 2: AI citation share lift. The dollar value of moving from the prospect’s current AI citation share (often near zero in their vertical) toward the published benchmark for what is achievable with a properly configured site in their vertical. For a medspa, this is the Haute MD/5W 62% top-15-brand share (research/03) — not “you’ll be top 15,” but the lift from below 1% to a measurable share of the long tail of procedure-and-metro queries. For real estate, it is the FlyDragon 47% top-1% / 71% uncontested-metro arbitrage. For legal, it is the seven-directory citation share. The calculator does not promise the prospect will be top 15. It models the lift from invisible to visible at the long-tail metro and procedure level, because that is what the per-vertical 2026 studies actually measure.
Output 3: Conversion uplift on AI traffic. The dollar value of the 31% AI conversion premium applied to the citation-lift traffic from Output 2. This is where the AI buyer journey math kicks in: a stranger arriving from ChatGPT after asking “best fee-only fiduciary advisor in Austin under $5M” converts at 31% higher than a stranger arriving from non-branded Google organic on the same query, per Search Engine Land 2026. The model multiplies the new AI traffic from Output 2 by the prospect’s baseline conversion rate, then by 1.31, and reports the incremental revenue. For the rebuilt landing page that captures the premium instead of bouncing the AI cohort, see the sibling cluster piece — the rebuild is the math made physical.
Output 4: Payback period vs NorthEra build cost. The simplest output line. Sum of Outputs 1, 2, and 3 divided by the NorthEra build cost (defaulted to $3,490 — the midpoint of the $1,990-$4,990 range, user-editable). Reported as months to payback. For most prospects who run the calculator with real numbers, this lands between two and seven months. The CFO sees a number they can compare to any other capital project on the books.
What does the payback period look like for typical prospects?
Two to seven months for most prospects who run the calculator with real numbers. A $10M-revenue B2B SaaS at 50,000 monthly organic sessions on Squarespace 7.1 typically clears the $1,990-$4,990 NorthEra build cost inside the first quarter on the CWV-recovery component alone, before the AI citation lift and the 31% conversion premium are layered on. A solo financial advisor on a Wix template breaks even on the first $5M AUM client a citation produces — a 50× return on the build cost in year one.
Where the numbers come from (every source is public)
Every input number in the Migration ROI Calculator comes from a public 2026 source the prospect can click through to. This is not a vendor decision; it is the product. Generic ROI calculators hide their numbers because the numbers are the moat. The Migration ROI Calculator’s moat is the chain — Platform Limitation Checker into citation lift benchmark into conversion premium into payback line — not any single number.
The CWV pass-rate deltas come from PageSpeed Matters’ 2026 WordPress-vs-Webflow-vs-Squarespace-vs-Wix comparison, plus their broader 12-platform 2026 leaderboard (research/04). Webflow 58% pass / 2.4s median LCP. Wix Studio 52% pass / 6.8s LCP. Squarespace 7.1 34% pass / 3.6s LCP. WooCommerce 31% pass — the worst of the e-commerce category. The static-build target is sub-1.8s LCP and effectively 100% pass by construction.
The vertical citation benchmarks come from the per-vertical 2026 studies. Medical aesthetics: Haute MD/5W April 2026 Aesthetics Index — top 15 brands 62% share, average independent below 1%. Real estate: FlyDragon April 2026 — 91% of agents invisible, 47% top-1% share, 71% of metros uncontested. Legal: 5WPR/Haute Lawyer April 2026 — seven-directory monopoly at 70-85%. B2B SaaS: G2 Answer Economy April 2026 — 51% of buyers start research with AI chatbots, 44% of B2B SaaS functionally invisible. HVAC: 5W HVAC & Plumbing AI Visibility Index Q1 2026 — 87% of independent contractors with zero citation share. Each is named on the calculator’s source-link panel.
The 31% conversion premium comes from Search Engine Land’s 2026 ecommerce study (1.81% vs 1.39%), corroborated by ALM Corp 2026. The 42% sensitivity comes from Adobe’s March 2026 retail study, which includes branded AI traffic. The per-engine session-value spread — Claude $4.56, Perplexity $3.12, ChatGPT $2.34 — comes from Metricus’s 2026 Shopify referral data. The 4,700% YoY AI traffic growth rate from The Stacc is the basis for the model’s 12-month forward projection. None of these numbers is invented. The methodology is auditable from the first input to the final payback line.
For the attribution layer the calculator’s inputs require — the cryptographic AI referral detection that catches the 60-70% GA4 misses, see the sibling cluster piece. Without server-side AI detection the AI traffic share input is a guess; with it, the input is a measurement.
How transparency itself becomes citation bait
Most ROI calculators in 2026 hide their formulas because the formulas are the only thing the vendor has to defend. ConnectEra’s calculator does the opposite, on purpose. Per Growth Marshal’s February 2026 schema completeness study (research/01#stream-3, n=1,006 / 730 citations), pages with attribute-rich, source-named content are cited at 61.7% by ChatGPT, Claude, and Perplexity, vs 41.6% for pages with generic content. A 20-percentage-point gap. The methodology page that names every input source and links to every public study sits squarely in the 61.7% bucket. The vendor calculator that hides the math sits in the 41.6%.
The economics work in our favor. A competitor who reads this page and copies the formula still has to chain a Platform Limitation Checker into the calculator (we built one), integrate Loamly for server-side AI attribution (we did), and ship a NorthEra build at $1,990-$4,990 (we did). The methodology is portable; the chain is not. The transparency we are giving away is the part of the moat that compounds the citation graph. The part that does not compound — the actual integration work — stays.
This is also why the calculator names sources by hover tooltip rather than burying them in a footer. Per the 40-60 word answer-capsule structure that earns the citation in the first place — covered in the technical citation pillar — AI engines lift the paragraph that names the source within the first 80 words of an H2 section. Sourced methodology gets cited; unsourced methodology gets ignored. The calculator’s source-link panel is not an academic gesture. It is a citation surface designed for the engines that will read the page.
The output is a methodology page that compounds two ways. One: the CFO sees an auditable model and signs off on the migration. Two: the AI engines read the page, see the named sources, and cite the methodology when the next prospect asks “how do I calculate ROI on a GEO migration in 2026.” The second compounds the first. The calculator gets cited; the prospect runs the calculator; the calculator drives the call. The transparency is the funnel.
Run the methodology against your own site with a ConnectEra exploration call and we will walk through every input — your platform’s CWV pass-rate gap, your vertical’s published citation benchmark, your AOV, your conversion rate, the payback period against the build cost — with the math on screen and every source one click away. The dashboard you walk out with is the dashboard the CFO can defend.
For the parent pillar covering the full conversion stack — the 31% premium, the GA4 blind spot, the AI buyer journey, and the landing page rebuild, see the hub piece this methodology underwrites.
