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SEO & Growth

Surfer SEO vs Frase for Real Estate: 3 Tests 2026

Sep 4, 2026

Surfer SEO vs Frase for real estate is a choice between two content-optimization editors, not a choice of MLS, CRM, or IDX. Both tools brief and score pages. Neither lists a house. The three tests that actually change the bill are (1) whether the vendor publishes a price you can model, (2) whether a content score predicts rank, and (3) whether the editor fits listing-area pages or question-led neighborhood guides. A third orchestration layer only matters after those pages exist and a lead event has to move.

Median single-family sale price: $415K according to Zillow Research (2025). That is a national Q1 2025 index figure, not a CMA for your farm. Use it as a planning scale: a brokerage whose average sale is in that band cannot treat a $49 writing add-on as a strategy.

TL;DR: Buy Surfer when you want a public dollar ladder and a SERP content score on listing-area and service pages. Buy Frase when the writer works from People-Also-Ask briefs and you already live in that editor. Do not buy either as an IDX. Do not treat a high content score as a rank forecast — an independent 20-keyword test did not find that relationship.

Who this is for

This page is for a brokerage marketing manager, team lead, or agency that already has a WordPress or IDX-backed site and is choosing an editor to brief neighborhood and office pages. You have writers. You have a CRM. You do not need another listing syndication product.

Red flags: Skip both tools if you cannot edit the IDX templates, if no one will review fair-housing language, or if the only "content" request is auto-writing every listing description — that is a compliance problem, not an editor shortlist.

The three tests

Test 1 is price transparency. Test 2 is whether the score predicts live Google rank. Test 3 is workflow: SERP term-coverage versus question-led briefs. Fail any one and the other vendor is the default.

Real estate is not in the counted vertical earn-rate table (financial 17.2, logistics 14.6, general_smb 13.8, saas 13.8, accounting 9.5, insurance 8.0, healthcare 8.7, mortgage 5.8). The mix-config neutral default: 10 according to US Tech Automations first-party mix-config (2026), not a vertical earn rate.

How we weighted Surfer vs Frase

CriterionWeightWhy it carries this weight
Published self-serve pricing30%A brokerage cannot budget a hidden editor
Score-to-rank honesty25%A score that does not predict rank is a style guide, not a forecast
Neighborhood / listing-page fit20%Real-estate URLs are templated; the editor must not demand unique essays on every ZIP
Question-brief workflow15%"How much is my home worth" pages are PAA-shaped
Export and lead-event hooks10%The editor stops at publish; the CRM starts after

Key Takeaways

  • Surfer published a full ladder we re-read on 2026-09-04; Frase did not, in this brief.

  • ToolVerdict's 20-keyword Surfer test did not find that content score predicted rank.

  • A $415K median sale is the market backdrop, not a software ROI formula.

  • COMPARISON pages earned above site base in our own corpus; that is a template note, not a vendor medal.

  • Zapier can move a draft; it will not be the compliance reviewer on fair-housing copy.

Verified pricing, 2026-09-04

Surfer dollars are from the vendor pricing page fetched 2026-09-04. Frase dollars were not on that fetch list; the cell says so.

PlanVendorMonthly $Documents / briefsSeats (published)Annual note
DiscoverySurfer$49120 documents1Up to 17% off vs monthly
StandardSurfer$99360 documents3Up to 17% off vs monthly
ProSurfer$182360 documents5Up to 17% off vs monthly
Peace of MindSurfer$299Unlimited*10Up to 17% off vs monthly
AI Search AnalyticsSurfer$158Prompt tracking5 brand spacesConfirm on vendor page
EnterpriseSurfer$999CustomContactTailored
All public Frase tiersFraseContact vendorContact vendorContact vendorNot fetched this pass

Surfer Discovery: $49/mo according to Surfer SEO (2026). The same page lists Standard $99, Pro $182, Peace of Mind $299, AI Search Analytics $158, Enterprise $999, and an annual discount of up to 17%.

Frase remains a named competitor because real-estate teams search this pairing. Contact Frase for current rates rather than pasting a blogger's screenshot.

Feature matrix with first-party operating numbers

The last column is our own corpus math, not a rank of Surfer or Frase. COMPARISON pages are the template this article uses.

CapabilitySurfer SEOFraseFirst-party corpus notes
Public ladder fetched 2026-09-04Yes ($49–$999)Non/a
Content score vs live rankVendor score; independent ρ −0.102Vendor score; not in that testn/a
Question / SERP briefSERP term coverageQuestion-led briefsn/a
IDX / MLS listing ingestNoNoNo
CRM lead statusNoNoCan watch hs_lead_status if configured
COMPARISON template earn raten/an/a17.8% of 941 pages
Site base earn raten/an/a12.2% of 12,514
Industry vertical earn raten/an/aNeutral default 10

COMPARISON earn rate: 17.8% according to US Tech Automations first-party mix-config (2026), versus a 12.2% site base on 12,514 pages counted 2026-08-24 (941 COMPARISON pages in the denominator). Not a vendor ranking.

Test 2: does Surfer's score predict rank?

Surfer score–rank ρ: −0.102 according to ToolVerdict (2026). ToolVerdict tested Surfer SEO on 2026-08-24 across 20 keywords: content-score vs live Google (us) top-10 correlation ρ = −0.102 on strict URL match (−0.044 after truncated-URL rescue). The independent tester's conclusion: Surfer's score did not predict rank.

That result does not mean Surfer is useless. It means you should use the score as a coverage checklist, not as a forecast you take to a rainmaker. Frase was not in that 20-keyword Surfer run; do not invent a Frase ρ.

A sibling comparison for production pipelines rather than editors is Surfer versus the production pipeline. The real-estate-shaped version of that split is Surfer versus the real-estate pipeline.

Vendor profiles

Surfer SEO — best when the brokerage will prepay a published editor

Best fit: in-house marketers and small teams producing neighborhood guides, office pages, and agent bios who want a SERP term map without a sales call. Discovery at $49 is enough to score a month of listing-area refreshes; Standard at $99 is the practical team seat.

Limitations: the score is not a rank oracle (see Test 2). Surfer will not ingest MLS fields. Fair-housing review is still a human. Implementation is self-serve. Enterprise at $999 is a different motion.

Frase — best when the content calendar is questions

Best fit: teams whose winning pages answer "what is a PITI payment" and "how long do homes sit in [city]" rather than stuffing listing adjectives. Frase is a research-and-brief workflow. No public dollar in this brief, according to Frase (2026), which did not expose a self-serve ladder on this pass.

Limitations: if you need a published price to get a managing broker to sign, Frase loses Test 1 until you get a quote. Frase is not an IDX. It will not update sold prices.

Who should choose which

Choose Surfer if Test 1 (price on a page) is the blocker and your URLs are templated area pages. Choose Frase if Test 3 (question briefs) is the daily motion and someone will get a quote. Choose neither if the bottleneck is IDX, photos, or lead routing — those are CRM and listing problems. SaaS teams comparing Surfer inside a broader SEO suite should read Semrush vs Surfer SEO for SaaS companies instead of this page.

Worked example: the $415K listing the editor never sees

A 22-agent team lists 48 homes a quarter at a $415K median and generates 310 HubSpot leads a month. When an ISA flips hs_lead_status to qualified, the content inventory should already have a neighborhood URL for that ZIP. Surfer can score that URL; Frase can brief the FAQ block. Neither tool watches the CRM. A proposed US Tech Automations flow could subscribe to HubSpot's hs_lead_status changes, match ZIP to a URL sheet, and open a human-review ticket only when a qualified lead's ZIP has no indexable guide — prerequisites are the HubSpot private app and a person who understands fair-housing language. At 310 leads, an 8% ZIP-miss is 25 qualified leads a month pointing at a city you never wrote.

Implementation: what the first 14 days actually look like

Day 1–2: export the URL list from the website or Search Console. Separate listing-area pages, office pages, agent bios, and blog posts. Kill sold-out new-construction pages that 404 in the IDX.

Day 3–4: pick ten neighborhood URLs that match ZIPs the ISA team actually works. If a ZIP has not produced a lead in the CRM, it is not in the first ten.

Day 5–10: run those ten through Surfer or through Frase briefs. Cap each refresh at a human-readable length. Do not chase a 90 score by stuffing HOA trivia that a buyer cannot verify.

Day 11–12: fair-housing pass. A content score will not catch "family neighborhood" or school-coded language. The reviewer is a person.

Day 13–14: request recrawl on the ten. Log hs_lead_status qualified counts by ZIP for the next month so you can see whether the URL and the lead ever meet.

That calendar is the comparison in practice. Surfer makes days 5–10 a term-coverage pass. Frase makes them a question-coverage pass. The rest of the calendar does not care which logo is on the editor.

Office pages need a different brief than neighborhood guides. An office page should confirm the licensed entity, the address that matches GBP, and the trades or property types you actually represent. Scoring an office page against a national "real estate agent" SERP is how you get a 70 score and a page that still fails to rank in the city you work. Use a city-modified query, or skip the score and write the facts.

Decision checklist

  • Do you need a number on a pricing page this week? Surfer. If not, quote Frase.

  • Are your money pages question-shaped or listing-area-shaped?

  • Will a managing broker reject a tool that cannot show a rank correlation? Show them the −0.102 result and buy a crawler, not a scorer.

  • Who reviews fair-housing copy after the score hits 80?

  • What happens after publish — does hs_lead_status ever meet the URL?

Build vs buy: Zapier is the real alternative

The usual alternative is Zapier, Make, or n8n: Frase/Surfer export → Google Doc → WordPress, HubSpot status → Slack. Those tools can keep run histories, retries, error branches, and audit evidence when you configure them. You must own observability, idempotency, escalation, access controls, retention, and maintenance. A proposed design on the agentic-workflows route would use the same hs_lead_status trigger, write exceptions instead of a Slack firehose, and stop before CMS publish pending a human. It would not replace Surfer's editor.

When NOT to use US Tech Automations

If you have twelve neighborhood URLs and one writer, buy Surfer Discovery at $49 and stop. If Frase already briefs every page and the ISA team is happy, you do not need an event bus. If the website is a vendor IDX you cannot edit, no editor or orchestrator will save the templates you do not control.

Common buying mistakes

MistakeNumeric cost
Treating content score as rankρ −0.102 in the 20-keyword test
Budgeting Frase from memory$0 public in this brief
Scoring every sold listing URL48 listings/quarter × documents burned
Ignoring $415K as contextEditor spend disconnected from deal size
Skipping fair-housing review1 complaint outweighs a 90 score

IDX templates are the silent disqualifier. If the brokerage website is a vendor skin you cannot edit beyond a blog, Surfer and Frase will score pages that never receive the internal links or schema the listing templates would need. Spend the first evaluation hour on "what can we actually change," not on a content score demo. A 90 on a blog post that the IDX noindexes is a wasted document.

Neighborhood guides should cite living facts a buyer can check: school-district names as published by the district, transit lines as published by the agency, flood maps as published by FEMA. A content score that asks you to mention "vibrant nightlife" is asking you to write marketing, not a guide. Frase's question briefs help when the SERP is PAA-heavy. Surfer's term map helps when the SERP is a wall of similar area pages. Neither license replaces a source list.

Frequently Asked Questions

Is Surfer SEO or Frase better for real estate?

Surfer is better when you need a published price and SERP term coverage. Frase is better when the calendar is question briefs and you will get a quote. Neither is an MLS tool.

How much does Surfer SEO cost versus Frase?

Surfer Discovery is $49/month, Standard $99, Pro $182, Peace of Mind $299, AI Search Analytics $158, Enterprise $999, fetched 2026-09-04. Frase: contact vendor. Do not mix annual and monthly when you compare.

Does a high Surfer content score mean I will rank?

No. ToolVerdict's 20-keyword test found ρ = −0.102 against live Google top-10 URLs. Use the score as a checklist.

Can Frase write listing descriptions at scale?

It can draft. You still need fair-housing review and MLS-accurate facts. Scaled filler is a Google spam-policy problem, not a feature.

Do I need both Surfer and Frase?

No. One editor. Add a crawler (Semrush or Ahrefs) if you need inventory. Add orchestration only when CRM events must meet URLs.

Can Zapier replace both tools?

Zapier can move files. It cannot score a SERP or replace Frase's brief UI. Use it for seams.

Glossary

  • Content score: Vendor overlap between your draft and current top results.

  • ρ (rho): Correlation coefficient; 0 means no linear relationship, negative means inverse.

  • PAA: People Also Ask blocks that shape neighborhood FAQ pages.

  • IDX: Listing feed on a brokerage site; not an editor.

  • CMA: Comparative market analysis; not a content score.

  • Fair-housing review: Human pass on protected-class language before publish.

  • Farm: The geography an agent actually works.

  • ISA: Inside sales associate who works hs_lead_status.

If the gap is not the editor but the path from a qualified lead to a page, review pricing after you pick Surfer or Frase. Home: https://ustechautomations.com/.

About the Author

Garrett Mullins
Garrett Mullins
Workflow Specialist

Helping businesses leverage automation for operational efficiency.