Real estate SEO services, San Francisco

Real estate SEO for San Francisco brokerages, condo teams and developers

San Francisco buyers shop by neighborhood and by ownership type: an Edwardian flat in Noe Valley, a TIC share in the Mission, a Mission Bay condo, a move from the Inner Richmond to San Mateo. We build the neighborhood, building and home value pages that answer those searches on your site, and we tag every inquiry with the neighborhood or Bay Area city it came from.

$4,000 a month for San Francisco brokerages

  • A written scope with monthly deliverables, signed before any work starts
  • Monthly reports count inquiries per neighborhood and Bay Area city, with rankings shown only as context
  • Method from the founder's in-house role at Brain Station 23, a software development and IT services company, where SEO alongside paid search took inbound pipeline to 43x in eight months
  • No promise of rankings, traffic, inquiries or commission; the planning model shows every input it uses

Customer success journey

Your 12-month San Francisco real estate SEO path

Pick the profile nearest to your firm, swap the sample numbers for your own, and step through the year: what we ship each month, what you should be able to see, and what you keep. San Francisco County's median single-family home took 34 days to sell in August 2026 (C.A.R.), and contingency periods, condo and TIC paperwork and escrow still sit between an inquiry and a closing, so each profile carries a lag. The chart is a planning model on your inputs, with every assumption listed. It is not a forecast.

Where are you starting from?

Resale brokerage across the central and western neighborhoods. Your agents sell single-family homes, flats and condos in Noe Valley, Bernal Heights, the Sunset and the Richmond, and your listings reach buyers mostly through MLS syndication to the portals. Your site gets brand and agent name searches. Visits are a sample number. Visit to inquiry is 1.5%, our assumption, set under the 2.7% real estate average in First Page Sage client data. Inquiry to closed side is 1.0%, inside the 0.4 to 1.2% band attributed to NAR. Value is 2.5%, our rounding of the California averages (2.57% seller side, 2.51% buyer side, Clever, Aug 2026), of the $1,875,000 San Francisco County median for August 2026 (C.A.R.): about $46,900.

Put in your own numbers

Monthly sessions from your analytics

Walk the path, month by month

Month 0
Level 1 of 5: BaselineProgress through the 12-month plan
  1. Level 1

    Baseline

    Months 0 to 1 In progress
    • Inquiry split across portals, organic, paid, referral and open house sign-ins
    • Forms, calls and tour requests tagged by neighborhood or Bay Area city
    • CRM fields for source, neighborhood, building and ownership type
    • IDX check: which of your MLS listings Google can see on your own domain
  2. Level 2

    Neighborhood map

    Months 2 to 3 Locked
    • Neighborhood and Bay Area city tiles ranked by your closed sides
    • Keyword map per neighborhood, building and ownership type
    • First neighborhood pages live
  3. Level 3

    Buildings, TICs and values

    Months 4 to 6 Locked
    • Pages for the condo buildings and flat stock you sell most
    • A plain guide to buying a TIC share
    • Home value pages and a transfer tax guide for sellers
  4. Level 4

    Inquiry flow

    Months 7 to 9 Locked
    • San Francisco market report from your own closings, offered to local press
    • New development page paths
    • Tested valuation and tour request forms
  5. Level 5

    City and Bay map

    Months 10 to 12 Locked
    • Next neighborhoods and Peninsula, Marin or East Bay cities added
    • AI answer tracking for San Francisco buyer and seller prompts
    • Organic cost per closed side beside portal and paid cost
    • A year two plan that you own
  1. Month 0Badge: Baseline set

    Kickoff and baseline

    We ship
    • A signed scope with each month's deliverables written out
    • Access to GA4, Search Console, your IDX vendor account and your CRM
    • Baseline export of organic visits by neighborhood, building and listing page
    • Twelve months of inquiry sources: portals, organic, paid, referral and open houses
    • Neighborhoods and Bay Area cities ranked by your closed sides
    You should start to see
    • A one-page view of which neighborhoods and buildings bring inquiries now
    • The share of your demand that reaches you through portals
    You own:

    Every account, export and file sits in your workspace from day one.

  2. Month 1Badge: Tracked

    Tracking by neighborhood and building

    We ship
    • Forms, calls and tour requests tagged by landing page, neighborhood and Bay Area city
    • Source, neighborhood, building and ownership type fields in your CRM
    • A review of how your IDX renders MLS listings and which of them Google indexes
    • A technical crawl with a ranked fix list
    You should start to see
    • Each new inquiry arrives with its neighborhood and building
    • Which of your listings Google finds on your own domain
    You own:

    The tracking specification and the dashboard.

  3. Month 2Badge: Mapped

    Neighborhood map and keyword plan

    We ship
    • Keyword map per neighborhood: condos for sale, flats, TICs, single-family homes, home value, sell my house
    • Building and address searches mapped for the condo buildings you sell most
    • Twelve tiles across the neighborhoods and Bay Area cities you work
    • Templates for neighborhood, building and home value pages
    You should start to see
    • The map with every tile at its starting point
    • Where portals and rival brokerages rank above you in neighborhoods you close in
    You own:

    The neighborhood map and the keyword plan.

  4. Month 3Badge: First tiles lit

    First neighborhood pages

    We ship
    • Four neighborhood pages with your sold data, Muni and BART access, schools and the mix of houses, flats, condos and TICs
    • Agent profiles with name, license number and responsible broker, linked to the neighborhoods each agent covers
    • Copy review against DRE advertising rules, the AB 723 photo disclosure and fair housing law
    You should start to see
    • The first tiles indexed on the map
    You own:

    The pages and their template.

  5. Month 4Badge: Buildings lit

    Building and flat pages

    We ship
    • Pages for the condo buildings you sell most: year built, unit count, HOA notes you approve and past sales
    • Pages for flat and TIC stock by neighborhood, with the ownership type stated plainly
    • Structured data for listings, buildings and offices
    You should start to see
    • Building and address searches arriving on your site
    You own:

    The building page set.

  6. Month 5Badge: Values live

    Home values, TICs and transfer tax

    We ship
    • Home value pages per neighborhood that end in a valuation request
    • A buyer guide to TIC shares, fractional loans and condo conversion questions, reviewed by your counsel
    • A seller guide to the San Francisco transfer tax bands, with official sources and a review date
    You should start to see
    • Valuation requests tagged by neighborhood
    You own:

    The guides and their review dates.

  7. Month 6Badge: Half map

    Six-month review

    We ship
    • Positions and inquiries per tile against month 0
    • More pages for tiles that move; a written plan for tiles that stall
    • The next six neighborhood pages
    You should start to see
    • The map with lit and unlit tiles and inquiries per neighborhood
    You own:

    The six-month report.

  8. Month 7Badge: Cited locally

    San Francisco market report and digital PR

    We ship
    • A quarterly report built from your own closings by neighborhood
    • Pitches to Bay Area real estate reporters and neighborhood publications
    • The report linked from every neighborhood page
    You should start to see
    • Links and mentions from Bay Area outlets, when they run the story
    You own:

    The report method and the press list.

  9. Month 8Badge: Launch ready

    New development page paths

    We ship
    • One URL path per project from pre-sales to closings
    • Floor plans, finishes and amenity details you approve
    • Interest list forms that route each prospect to sales with the project attached
    You should start to see
    • Project traffic that stays on your domain after sell-out
    You own:

    The launch playbook.

  10. Month 9Badge: Inquiry flow

    Inquiry flow tests

    We ship
    • Tests on valuation, tour request and interest list forms
    • A response time view by source, while your agents keep the follow-up
    You should start to see
    • A test log, with the changes that raised completed inquiries kept live
    You own:

    The test log.

  11. Month 10Badge: Wider map

    Next neighborhoods and Bay Area cities

    We ship
    • Six more tiles and their pages, in the city or across the Bay
    • AI answer tracking for San Francisco buyer and seller prompts
    • Month 3 pages refreshed with the latest quarter of closings
    You should start to see
    • A wider map, and whether AI answers cite your pages
    You own:

    The expanded neighborhood map.

  12. Month 11Badge: Channel priced

    Cost per closed side

    We ship
    • Organic cost per closed side beside portal, paid and referral cost, from your CRM
    You should start to see
    • Organic as its own line in your GCI report
    You own:

    The cost model.

  13. Month 12Badge: City and Bay map

    Year one review and year two plan

    We ship
    • Every tile reviewed against the month 0 baseline
    • A year two roadmap with neighborhoods, buildings, PR and budget
    • Handover pack: templates, tracking specification and dashboards
    You should start to see
    • Inquiries and closed sides attributed to organic, beside month 0
    You own:

    All of it: pages, data, dashboards and the roadmap.

Your model at month 0

Planning model, not a promise
Monthly organic visits5,000Expected, 1.00x month 0Conservative 5,000Month 0: 5,000
Seller, buyer and project inquiries75Expected, 1.00x month 0Conservative 75Month 0: 75
Closed sides0.8Expected, 1.00x month 0Conservative 0.8Month 0: 0.8
Gross commission income this month$35KExpected, 1.00x month 0Conservative $35KMonth 0: $35K

Expected and conservative use the ramps in the assumptions panel. Month 0 is your input with no change.

Monthly badges1 of 13 badges earned

The model, drawn to scale

Expected Conservative Month 0 level held

Monthly organic visits per month

Non-branded, from your analytics

Planning model. Month 0: 5,000. Month 12: conservative 6,550, expected 9,250. Highlighted month 0: conservative 5,000, expected 5,000.02.5K5K7.5K10K036912Month5,000

Seller, buyer and project inquiries per month

From monthly organic visits

Planning model. Month 0: 75. Month 12: conservative 115, expected 185. Highlighted month 0: conservative 75, expected 75.050100150200036912Month75

Cumulative gross commission income

From seller, buyer and project inquiries, month 0 to the month shown

Planning model. Month 0: $35K. Month 12: conservative $490K, expected $559K. Highlighted month 0: conservative $35K, expected $35K.$0$200K$400K$600K036912Month$35K

San Francisco neighborhoods and the Bay Area cities around them

Month 0, expected case

Every tile is a San Francisco neighborhood or a nearby Bay Area city where your agents list and sell. A tile lights up when its pages reach page one for the neighborhood searches we track, and it then shows the inquiries it sent that month. These twelve, from the northern waterfront to the Peninsula, are only a sample; your tiles follow your own closed sides in the MLS.

Pacific Heights0Page planned for month 3
Noe Valley0Page planned for month 3
Mission District0Page planned for month 3
Bernal Heights0Page planned for month 3
SoMa and Mission Bay0Page planned for month 6
Potrero Hill and Dogpatch0Page planned for month 6
Russian Hill and Nob Hill0Page planned for month 6
Inner Sunset0Page planned for month 6
Outer Sunset0Page planned for month 6
Richmond District0Page planned for month 6
Daly City, Peninsula0Page planned for month 10
San Mateo, Peninsula0Page planned for month 10

0 of 12 areas live at month 0. Brighter tiles get more seller, buyer and project inquiries.

Areas go live in the order listed, at months 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 10, 10, and seller, buyer and project inquiries are split evenly across the live areas. Both are assumptions; your own area data replaces them.

This planning model runs on your inputs and on public benchmarks, most of them national or statewide figures from vendors, associations and agency blogs. It is not a forecast and it promises no rankings, traffic, inquiries, closed sides or commission income.

Show every month as a table
Planning model by month
MonthMonthly organic visits, cons.Monthly organic visits, exp.Seller, buyer and project inquiries, cons.Seller, buyer and project inquiries, exp.Closed sides, cons.Closed sides, exp.Gross commission income, cons.Gross commission income, exp.Cumulative, cons.Cumulative, exp.
05,0005,00075750.80.8$35K$35K$35K$35K
15,0005,00075750.80.8$35K$35K$70K$70K
25,0005,00075750.80.8$35K$35K$106K$106K
35,0005,20075780.80.8$35K$35K$141K$141K
45,1005,45077.3850.80.8$35K$35K$176K$176K
55,2005,80080.393.10.80.8$35K$35K$211K$211K
65,3506,20084.31030.80.8$35K$37K$246K$248K
75,5006,65088.31150.80.9$36K$40K$282K$288K
85,6507,15092.41280.80.9$38K$44K$320K$331K
95,8507,65097.41410.81$40K$48K$360K$380K
106,1008,2001031560.91.1$41K$54K$401K$433K
116,3508,7501101710.91.3$43K$60K$444K$493K
126,5509,25011518511.4$46K$66K$490K$559K

Assumptions, all on screen

How the model works

For each month m from 0 to 12: Monthly organic visits(m) = V0 x VisitRamp(m). Seller, buyer and project inquiries(m) = Monthly organic visits(m) x C0 x ConversionRamp(m). Closed sides(m) = Seller, buyer and project inquiries(m minus L) x P. Gross commission income(m) = Closed sides(m) x Gross commission per closed side. Cumulative gross commission income = sum of gross commission income from month 0 to m. Before month L, closed sides come from the month 0 level of seller, buyer and project inquiries.

Each ramp is a multiplier on month 0, one per month. Month 0 is 1.00. Every multiplier is an assumption and is editable below.

Edit the ramps

Ramp multipliers by month, editable
MultiplierM0M1M2M3M4M5M6M7M8M9M10M11M12
Visit ramp, expected
Visit ramp, conservative
Conversion ramp, expected
Conversion ramp, conservative

Assumptions and sources

Monthly organic visitsProfile default, editable
Sample number. Replace it with your own non-branded organic sessions from GA4.
Visit to inquiry, real estate average2.7%
First Page Sage client data, Jan 2022 to Aug 2025, updated 18 Sep 2025. A national figure that counts any conversion action, so read it as a direction rather than a San Francisco rate. The 1.5% and 2.0% profile rates are our assumptions.
Inquiry to closed side0.4 to 1.2% band; profiles use 1.0%
Follow Up Boss (20 Oct 2023), which credits the band to NAR through an Inman article of May 2022; we have not found it at NAR itself.
Commission per side, California2.57% seller side, 2.51% buyer side; model uses 2.5%
Clever Real Estate survey of 434 agents, Aug 2026, updated 1 Oct 2026. A state figure (5.08% total), not a San Francisco one; 2.5% is our rounding. Commissions are negotiable.
August 2026 mediansSan Francisco County $1,875,000; San Francisco Bay Area region $1,272,000
C.A.R. August 2026 home sales and price report, 16 Sep 2026, existing single-family homes. Condos and TICs are outside these figures, so use your own building and neighborhood medians.
Sample prices$1,000,000 condo unit; $25,000 per new development unit
Planning assumptions only, not market figures. Set your own.
Lag from inquiry to closed side3 to 6 months by profile
Assumption, adjustable. NAR's 2025 profile puts the median home search at 10 weeks nationally; escrow, HOA and TIC documents and completion dates add time in San Francisco.
Visit and conversion rampsVisits 1.85x expected, 1.31x conservative; conversion 1.33x and 1.17x by month 12
Assumption, adjustable. Set between our Los Angeles and Chicago pages because San Francisco results are crowded with portals and large brokerages; a planning choice, not a measured difference.

This planning model runs on your inputs and on public benchmarks, most of them national or statewide figures from vendors, associations and agency blogs. It is not a forecast and it promises no rankings, traffic, inquiries, closed sides or commission income.

Today vs month 12

Your numbers in the planning model, today versus month 12
In your modelToday (month 0)Month 12, conservativeMonth 12, expected
Monthly organic visits per month5,0006,5509,250
Seller, buyer and project inquiries per month75115185
Closed sides per month0.811.4
Gross commission income per month$35K$46K$66K
Cumulative gross commission income, months 0 to 12$457K if month 0 holds$490K$559K
What changes between today and month 12
AreaTodayMonth 12
Inquiry sourceBuyers and sellers meet your listings on portals firstOrganic inquiries counted by neighborhood beside portal inquiries
NeighborhoodsA few neighborhood guides with stale figuresSixteen neighborhood and Bay Area city pages refreshed each quarter from your closings
Ownership typesTIC and condo questions answered by forums and portalsBuilding pages and a TIC guide your counsel has reviewed
SellersHome value searches end at automated estimatesHome value pages per neighborhood that end in a valuation request
Closing costsTransfer tax bands explained on other sitesA transfer tax guide with official sources and review dates
AttributionInquiries arrive with no neighborhood attachedEach inquiry carries its neighborhood, building and source
Unit economicsNo organic cost per closed sideOrganic cost per closed side beside portal and paid
Book a strategy call We walk through your month 0 baseline on the call.

Playbook

The pages we build first

Each card is a page type and the kind of search it answers, with your names in the brackets.

Neighborhood pages built from your closings

San Francisco buyers argue about neighborhoods before they argue about houses. A page with your recent sales, the Muni and BART lines, parks, schools and the split between single-family homes, flats, condos and TIC shares settles that argument with detail a portal scatters across many screens.

Example query: Bernal Heights homes and flats: what sold this quarter and at what price

Condo building and flat pages

Condo buyers type a building name or an address, and flat buyers search by street and unit count. Pages for the buildings and flat stock you sell most, with past sales and HOA notes you approve, turn those searches into tour requests for your agents.

Example query: [Building name], Mission Bay: past sales, HOA dues and units on the market

Home value pages for owners

Owners check an automated estimate long before they call an agent. A neighborhood home value page that explains what moved prices there this quarter, and ends in a request for a broker's opinion, gives that owner a reason to call you instead.

Example query: What is my Inner Sunset house worth? Recent sales and a broker valuation

TIC and transfer tax guides

Buyers ask how a tenancy in common share works, and sellers ask what the city transfer tax will cost them. Guides that set out the ownership structure and the tax bands with official sources, reviewed by your counsel on a set date, earn links and early trust.

Example query: Buying a TIC in San Francisco: fractional loans, agreements and conversion

Pages for moves across the Bay

Many city owners look at the Peninsula, Marin or the East Bay when a family grows or a commute changes. Pages written for that move, with BART, Caltrain or ferry access, school district names and what the same budget buys, keep both sides of the move with one brokerage.

Example query: Moving from the Richmond District to San Mateo: homes, trains and schools

Copy that meets DRE, AB 723 and fair housing rules

Every page shows the licensee name, license number and responsible broker, marks digitally altered photos and links to the original, as AB 723 requires from 1 January 2026, and describes homes and transit rather than who should live there. Your broker of record approves each page.

Example query: Describe the light, the layout and the N Judah stop, not the neighbors

Proof

What the method has done, and what we have not done yet

43x

Inbound pipeline to 43x in eight months

The founder ran SEO and paid search in-house at Brain Station 23, a software development and IT services company. The same method of tracking first, bottom-of-funnel pages next, then links and conversion work, took inbound pipeline to 43x in eight months. That was SEO and paid search together, for an IT services company, not a real estate business.

Source: Brain Station 23 internal data, founder's in-house role; published as a multiple only

Brain Station 23 (software development and IT services) and NopStation (Brain Station 23's nopCommerce e-commerce brand) are the founder's in-house work, not client results. S & F Consulting (company formation, licensing and accounting, not a law firm) and RENTS (real estate, Bangladesh) are CMBD clients. CMBD has no real estate client case study yet.

Rankings across our projects in 40 countries

Ten keywords from four of our projects, each with its Google position, the country searched from and the project it belongs to. The chips list every country where one of the three Ahrefs-tracked projects has a keyword in Google's top 10. Positions only.

  1. Position 1ecommerce development firm, project Brain Station 23, Google United States
  2. Position 4ecommerce development new york, project NopStation, Google United States
  3. Position 1software companies, project Brain Station 23, Google United Kingdom
  4. Position 1accounting services in dubai, project S & F Consulting, Google United Arab Emirates
  5. Position 1it company in malaysia, project Brain Station 23, Google Malaysia
  6. Position 1company formation in qatar, project S & F Consulting, Google Qatar
  7. Position 1business license in saudi arabia, project S & F Consulting, Google Saudi Arabia
  8. Position 4ecommerce development company, project NopStation, Google Australia
  9. Position 1business license, project S & F Consulting, Google Philippines
  10. Position 2furnished apartment rent in gulshan, project RENTS, Google Bangladesh

Ranked in

  • United States
  • Bangladesh
  • Malaysia
  • United Arab Emirates
  • Sri Lanka
  • Qatar
  • Pakistan
  • India
  • Ghana
  • Russia
  • United Kingdom
  • Mauritius
  • Canada
  • Botswana
  • Australia
  • Brazil
  • Philippines
  • Bahrain
  • South Africa
  • Thailand
  • Nigeria
  • Saudi Arabia
  • Singapore
  • France
  • Bhutan
  • Kenya
  • New Zealand
  • Italy
  • South Korea
  • Argentina
  • Colombia
  • Germany
  • Spain
  • Ireland
  • Mongolia
  • Mexico
  • Netherlands
  • Poland
  • Turkey
  • Ukraine

Source: Ahrefs organic keywords exports for brainstation-23.com, nop-station.com and sfconsultingbd.com, 16 Oct 2026, plus one client row from the CMBD homepage rank card (Google Bangladesh). Positions are Ahrefs positions on the export date, shown as keyword, position, country and project only.

Illustration of the goal

Where your brand should sit for your keyword

Illustration: a Google search for your keyword, with Your brand in the first result, above Competitor 1, Competitor 2 and Competitor 3.

Illustration of the goal, not a promise and not a client result. Competitor 1 to 3 and positions 2 to 4 are placeholders and appear only in this drawing. CMBD has no real estate client case study yet.

Pricing

Pricing for real estate SEO in San Francisco

San Francisco brokerage

$4,000a month

Brokerages with 20 or more agents selling in San Francisco and the nearby Bay Area

  • Inquiry tracking by neighborhood, Bay Area city and source, in your CRM
  • Neighborhood map and keyword plan
  • Neighborhood, building, home value and Bay Area move pages
  • IDX indexing plan with your IDX provider
  • Buyer and seller guides on TICs and the city transfer tax
  • San Francisco market reports and digital PR
  • Monthly report in inquiries, closed sides and GCI
Book a strategy call

Developer or multi-office

By proposal

Developers with two or more active projects, and brokerages with several offices or markets

  • Everything in San Francisco brokerage
  • A page path for each project
  • More PR campaigns each quarter
  • Scope set by proposal after a discovery call
Ask for a proposal
  • San Francisco carries the US offer. The minimum term is three months, because the first quarter goes into tracking and the foundation pages.
  • As a reference point, Redefine Web (Jan 2026) lists enterprise packages for brokerages in the top 25 US markets at $3,000 to $10,000+ a month, with its own enterprise tier from $4,500. That is one vendor's rate card rather than a survey, and we found no published San Francisco figure.
  • Nothing here guarantees rankings, traffic, inquiries or commission. Every report sets results against your month 0 baseline.

Fit

Who this page is for

A good fit

  • A brokerage with 20 or more agents selling in San Francisco
  • A condo or TIC team with a sales record in named buildings
  • A developer or new condo sales team with two or more projects
  • A broker of record or marketing lead who approves pages and joins a monthly review
  • Access for us to GA4, Search Console, your IDX setup and your CRM
  • Sales data you are allowed to publish

Not a fit

  • Solo agents and small teams
  • Anyone who needs inquiries or closings written into the contract
  • Landlords or firms that want rental ads turning away Section 8 vouchers or other lawful income
  • Teams that need inquiries within 30 days: paid search and portal advertising move faster
  • Firms that cannot share CRM data, because we report in closed sides

FAQ

Questions teams ask before a call

Can our site beat Zillow and Redfin in San Francisco search results?

Not for every listing search, and we will not say otherwise. Your site can win neighborhood, building, TIC, home value and transfer tax questions, along with searches for your own brand and agents, because your agents hold local detail a portal lacks. We report organic and portal inquiries side by side so you can judge the mix yourself.

What must a brokerage website show under DRE rules?

The DRE's RE 559 chart treats a website as first point of contact material, so it carries the licensee's name, eight-digit license number and the responsible broker's name. A team name needs the surname and license number of at least one team member, with the broker shown as prominently. Your broker of record and counsel have the final word.

What does AB 723 change for listing photos?

From 1 January 2026, Business and Professions Code section 10140.8 requires a clear disclosure on any digitally altered listing image, such as a virtually staged room, and the unaltered original made available to the reader. We build both into gallery templates so the disclosure and the original travel with the photo.

Do you cover the Peninsula, Marin and the East Bay?

Yes, when your closed sides are there. Many San Francisco brokerages sell in Daly City, San Mateo, Marin towns or Oakland as well as the city, so the map can add those cities as tiles next to city neighborhoods. Tiles follow your closings, not a fixed list.

How long until we see inquiries?

Redefine Web (Jan 2026) says organic rankings take 6 to 9 months to compound, so our model starts slowly. After an inquiry, contingency periods, HOA or TIC documents, escrow and, for new projects, completion dates add time before a side closes.

Do you have San Francisco real estate client results?

No, and we will not make any up. Our proof is the founder's in-house work at Brain Station 23, a software development and IT services company, where SEO with paid search took inbound pipeline to 43x in eight months. Our first San Francisco real estate client is a pilot, and its 90-day interim figures go out only with its approval.

Sources used on this page

We cite these as directional, and say so where a figure is secondary.

Guide

Real estate SEO services in San Francisco: a guide for brokerages, condo and TIC teams and developers

A software engineer renting in the Inner Richmond does not start a home search by calling a brokerage. She reads what flats in Noe Valley sold for last quarter, tries to work out whether a TIC share in the Mission is a sensible first purchase, and asks a chatbot how the city transfer tax works. Her landlord, who owns a two-unit Edwardian two streets over, is doing his own reading: what the building might fetch, whether rent control follows the sale, and what a move to San Mateo would cost. Most of that reading happens on Zillow, Redfin, Realtor.com, a news site or a rival brokerage's blog.

That early reading decides a great deal. NAR's 2025 Profile of Home Buyers and Sellers found that 66% of sellers picked an agent through a referral or had used that agent before, and 43% of buyers chose an agent on a referral. Those relationships take years and cannot be bought. Everyone outside them, which includes most people new to the city, forms a view of which firm to call while they research. If your site is absent from that research, the choice is made where you cannot see it.

This guide explains how real estate SEO works for San Francisco brokerages, condo and TIC teams and developers: the market figures worth knowing, how to map 41 analysis neighborhoods and the Bay Area cities around them, what California's licensing and photo disclosure rules ask of a website, which pages earn seller and buyer inquiries, how to count those inquiries in closed sides, and what the work costs. Every figure has a source in the list at the end, and anything we assume is labeled as an assumption.

What real estate SEO means for a San Francisco brokerage or developer

For a San Francisco firm, real estate SEO is the job of making your own website the place where owners, buyers and project prospects find answers, so that they contact your agents rather than fill in a portal's lead form. It covers the technical health of the site, the way your MLS listings render on it, the neighborhood and building pages that answer local questions, the guides that answer money and ownership questions, and the tracking that ties each inquiry back to the page and the neighborhood that produced it.

It is not a plan to outrank the national portals on every listing search. Those sites carry every listing in the region and spend heavily to hold their positions. A brokerage competes somewhere else: on questions about one neighborhood, one condo building, one kind of property such as a flat or a TIC share, the cost of selling inside city limits, or the move from the city to the Peninsula. Portals answer those questions in general terms. Your agents can answer them from transactions they closed.

For a developer the task is shorter and tied to a sales window. A condo project draws searches from the first rendering to the last closing, and the usual risk is a separate microsite that collects those searches and then goes dark after sell-out. Keeping each project on a lasting URL path inside a domain that outlives the project carries the authority earned at launch into the next one.

The San Francisco market in numbers

The California Association of REALTORS publishes county medians every month for existing single-family homes. Its August 2026 report, released on 16 September 2026, put the San Francisco County median at $1,875,000, down 8.5% from $2,050,000 in July and up 25.0% from $1,500,000 in August 2025. County sales fell 13.2% from July and 3.2% from a year earlier. For comparison, the statewide median that month was $901,420, so a typical San Francisco house sold for roughly twice the California figure.

Supply in the county was thin. C.A.R.'s unsold inventory index, the number of months it would take to sell the homes on the market at the current pace, stood at 1.3 months in August 2026, against 1.0 in July and 2.3 a year earlier. The median time on market was 34 days, up from 22.5 in July but below the 37 days of August 2025. The wider San Francisco Bay Area region in the same report showed a median of $1,272,000, 0.2% below a year earlier, an index of 2.6 months and a median of 22 days on market.

These medians count single-family homes only. A large share of San Francisco's sales are condos, flats in two to six unit buildings and TIC shares, and none of those enter the C.A.R. county median. That is one reason building and ownership type pages matter more here than in most US cities, and one reason we ask for your own medians by building and neighborhood before we set any page plan.

Census data fills in who lives in the city. Data USA's profile of San Francisco, drawn from the American Community Survey, puts the 2024 population at 830,235 in about 364,000 households, the median property value at $1.39 million, the median household income at $140,970 and the homeownership rate at 38.2%. Close to two thirds of households rent, which makes renters a large pool of future first-time buyers and makes landlords an important group of future sellers. Treat all of these figures as context for planning, not as targets. Your closings by neighborhood are the numbers that should set the plan.

41 neighborhoods, numbered MLS districts and the wider Bay: building your area map

San Francisco has two neighborhood systems worth knowing. The city's Analysis Neighborhoods dataset, published on DataSF, groups census tracts into 41 neighborhoods. The Department of Public Health and the Mayor's Office of Housing and Community Development drew them with support from the Planning Department, and the city states that they are not an official boundary map. They are still useful, because census and city data are published against them, so a neighborhood page can quote a figure for exactly the area it covers.

Agents, meanwhile, work from the San Francisco Association of REALTORS district map, which splits the city into numbered districts and lettered subdistricts. When SFAR redrew that map in 2010, SocketSite covered the change, and its readers quoted subdistrict codes such as 7b for Pacific Heights and 7d for Cow Hollow and pointed out names the map left out. Buyers use neither system on purpose. They search the names they hear: Cole Valley, Dogpatch, Hayes Valley, the Inner Sunset. A workable page plan maps all three, with one page per neighborhood where you sell and sections or child pages for the micro-neighborhoods inside it where demand and your closings justify them.

The map does not stop at the city line. Many San Francisco brokerages sell in Daly City, San Mateo, Marin towns or Oakland as well. Each of those cities gets its own tile and its own pages written for the city owner thinking about a move. We rank tiles by your closed sides over the past year, then by measured search demand, and build in that order. A neighborhood where you have no closings stays off the map until you have a reason to be there.

Who this service is for

The work is scoped and priced for firms with enough agents, listings or projects to turn a steady flow of organic inquiries into closings. That leaves out some businesses we would like to help, and we would rather say so here than on a call.

Brokerages with 20 or more agents selling in the city

This is the core client: a brokerage with enough agents and closings across several neighborhoods to fill neighborhood pages with real data, and enough capacity to answer every inquiry within hours. The program pays only if your agents follow up on what it produces.

Condo and TIC teams

Teams that sell in named condo buildings in SoMa, Mission Bay, Rincon Hill or Russian Hill, or that specialise in TIC shares and flats, gain most from building and ownership type pages, because their buyers search by address and by structure. A team with its own sales record in a set of buildings can own those searches.

Developers and new condo sales teams

A developer with two or more active projects in the city or on the Peninsula needs one lasting page path per project and an interest list flow that sends each prospect to sales with the project attached. These clients are priced by proposal.

Who it is not for

Solo agents and small teams usually get more from referrals, a Google Business Profile and a few strong pages than from a $4,000 monthly program. Firms that need inquiries inside a month should start with paid search or portal advertising. And we will not write rental copy that turns away voucher holders or other lawful income, which California law prohibits.

Condos, flats and TIC shares: the ownership questions buyers search

In many cities a buyer chooses a neighborhood and then a house. In San Francisco the buyer also chooses an ownership structure, and that choice drives a large share of early searches. A condo carries its own title and HOA documents. A flat in a two to six unit building may be a condo, a TIC share or part of a building one owner sells whole. A TIC share is a percentage interest in a building, usually with an agreement among the owners on who occupies which unit, and financing and resale work differently from a condo.

Buyers want plain explanations of those differences, and they want to know whether a TIC can become a condo. That question has a long local history. In 2013 the Board of Supervisors passed Ordinance No. 117-13, which suspended the city's condo conversion lottery and set up an Expedited Conversion Program for qualifying two to six unit TIC buildings. A San Francisco Public Works update from April 2019 said the program remained suspended for buildings with non-owning tenants after a federal lawsuit over its lifetime lease provision. Rules here change and turn on the facts of each building, so our guides state the history with dates, link the official sources and tell readers to confirm the current position with Public Works and their own attorney.

Rent control is the other question in this market, for buyers of occupied flats and for owners selling them. The Housing Rights Committee of San Francisco summarises the Rent Ordinance as covering units in buildings of two or more units built before June 1979, with single-family homes largely excluded under state law and condo-converted units losing coverage once the original owner sells. A page that sets out what passes with a sale of an occupied building, written with counsel, is the kind of content that earns a buyer's trust before a first showing.

We start with the building types and the specific buildings where you have the most closings and listings, because those pages can be filled with real data from the first day. A building page with no sales history and no listings is thin, and adds little to what a portal already shows.

The pages that bring seller, buyer and project inquiries

A San Francisco page plan usually has six page types. Each has its own reader and its own inquiry at the end, and each is tracked separately so you can see which of them lead to closings.

Neighborhood pages

These answer the comparison a buyer makes before deciding where to look: the mix of houses, flats, condos and TIC shares, your recent sales and their prices, the Muni lines and BART stations, parks, schools and the main shopping streets. Each page ends in a tour request or a call with the agent who covers that neighborhood, and we refresh it every quarter with your new closings, because a page with last year's figures loses trust quickly.

Condo building and flat pages

Built for buyers who search a building name, an address or a street, and linked from the neighborhood page each building sits in. Where you have current listings in the building, they appear on the page through your IDX, and HOA facts that can change are dated and sourced.

Home value pages

Owners start with an automated estimate. A home value page for each neighborhood explains what moved prices there in the last quarter, shows a few comparable sales and ends in a request for a broker's opinion of value. That is the inquiry most brokerages want, a listing appointment, so we track it as its own inquiry type.

Bay Area move pages

City owners who need more space often look at the Peninsula, Marin or the East Bay. Pages written for that move, with BART, Caltrain or ferry access, school district names and what the same budget buys in each place, let one brokerage handle both the city sale and the purchase across the Bay.

New development page paths

One path per project from pre-sales to closings, with floor plans, finishes and amenities you approve, and an interest list form that tells your sales team which project the prospect asked about. The path stays live after sell-out as a record of the project and a link to the next one.

Agent pages, guides and market reports

Agent profiles that show the license number and responsible broker, the neighborhoods each agent covers and their sales; buyer and seller guides on TICs, closing costs and process; and a quarterly market report built from your own closings by neighborhood. The report is the piece Bay Area reporters and neighborhood publications are most likely to cite, which is how a brokerage site earns local links.

MLS feeds, IDX and duplicate listing pages

San Francisco listings flow through SFAR's MLS, and through it to brokerage sites by IDX feed and to the portals by syndication. The same description and photos can therefore appear on dozens of sites within hours of going live. Google usually picks one version of duplicated content to show and sets the rest aside, and on raw listing pages it tends to choose a portal. Expecting IDX pages to win listing searches by themselves is a mistake we see often on brokerage sites.

In the first month we check how your IDX vendor renders listings: whether listing pages sit on your own domain or a vendor subdomain, whether Google can crawl and index them, whether search filters spin off thousands of near-identical URLs, and whether sold listings stay up long enough to support your neighborhood pages. Google's guidance on faceted navigation explains why uncontrolled filter URLs waste crawling, and many IDX setups produce that pattern.

The usual fix is to stop chasing every listing URL and make your neighborhood and building pages the indexed, well linked pages, with listings embedded in them, while controlling which filtered views Google can reach. Your IDX vendor's settings and the MLS display rules limit what can change, so we write the plan together with your vendor rather than around it.

California rules on a brokerage website

The California Department of Real Estate licenses and disciplines brokers and salespersons, and its rules reach every agent page, team page, listing gallery and lead form. We are not lawyers and nothing in this guide is legal advice. These are the rules we build templates around, and your broker of record approves each page before it goes live.

License disclosures

The DRE's RE 559 chart lists websites, along with business cards, flyers and electronic ads, as first point of contact material under Business and Professions Code section 10140.6 and Regulation 2773. That material must carry the licensee's name, the eight-digit license number and the responsible broker's name, and the license number may not appear in type smaller than the smallest type in the ad. We place those fields in every agent, team and listing template, so no page ships without them.

Team names

The DRE's team name FAQ says an ad using a team name must also show the surname and license number of at least one licensed team member, and that the responsible broker must be identified as prominently as the team name. Condo and TIC specialists often market under a team brand, so team pages and team listings get the same check.

AB 723 and digitally altered photos

AB 723, enacted in October 2025, added section 10140.8 to the Business and Professions Code from 1 January 2026. When a broker or salesperson advertises a property with a digitally altered image, such as a virtually staged room or a photo with wires or a neighboring building edited out, the ad must carry a clear disclosure that the image was altered, and the unaltered original must be made available to the consumer; the DRE's March 2026 advisory restates both duties and extends them to images made or changed with AI tools. MLS notices such as SDMLS's point out that brokers stay responsible for this across all advertising, not only MLS listings. Routine edits such as exposure and color correction are generally treated differently. We add a disclosure field and an original image link to every gallery template, so the requirement is met by default.

Fair housing and source of income

The federal Fair Housing Act bars notices, statements and ads that indicate a preference or limitation based on protected characteristics. In California, the Civil Rights Department lists source of income among the characteristics protected in housing under the Fair Employment and Housing Act, which covers rental assistance such as a Section 8 Housing Choice voucher, and gives an ad saying No Section 8 as an example of what is not allowed. Our pages describe homes, streets, transit and published data, never who should live in a neighborhood.

Transfer tax and the closing cost questions owners ask

Sellers ask about closing costs at nearly every listing appointment, and San Francisco's transfer tax has an unusual shape that makes it a strong guide topic. The city levies its own real property transfer tax in bands that rise with the sale price. HomeLight's guide sets out the full schedule as 0.50% from $100 to $250,000, 0.68% from $250,001 to $999,999, 0.75% from $1,000,000 to $4,999,999, 2.25% from $5,000,000 to $9,999,999, 5.50% from $10,000,000 to $24,999,999 and 6.00% at $25,000,000 and above. The city's own transfer tax page gives the top two bands as $27.50 and $30.00 for each $500 or portion of $500, which match 5.5% and 6%, and a 2016 ballot digest from the Department of Elections confirms the 0.68% and 0.75% bands were already in force then.

At the August 2026 county median of $1,875,000, the 0.75% band works out to about $14,060 in city transfer tax. A sale that crosses $5,000,000 moves into the 2.25% band, which changes the arithmetic sharply for owners near that line. Who pays the tax is set in the purchase contract, so our guides explain the bands, show a worked example with the date of the rates, and tell owners and buyers to confirm with their escrow officer and tax adviser. Any figure we publish is checked against the city's page before it goes live and carries a review date.

A closing cost guide that walks through the transfer tax, title and escrow charges and, for condos and TICs, HOA documents and the TIC agreement, written in plain language and reviewed by your attorney and escrow partners, tends to collect links from other sites. We keep the figures in one table so a single update corrects every page that cites them.

Buyer pages after the NAR settlement

Practice changes from the National Association of REALTORS settlement took effect on 17 August 2024. Offers of buyer broker compensation are no longer made on the MLS, and MLS participants working with a buyer must have a written agreement before touring a home, with disclosures that compensation is not set by law and is fully negotiable. Buyers now ask what that agreement commits them to and what a buyer's agent costs.

That opens room for a page your competitors may not have written well: a plain explanation of how your brokerage works with buyers, what the written agreement covers and how compensation is discussed, approved by your broker of record and counsel. We do not state fees or rates for your firm, and we do not restate the settlement beyond what NAR's own materials say. The aim is an answer honest enough that a buyer feels comfortable contacting you.

Keyword research for San Francisco property searches

We do not guess search volumes. Before the page plan is written we measure the query groups for each tile in a keyword tool for US Google results, and we map each measured query to exactly one page, so two of your pages never compete for the same search. These are the groups we usually test for a San Francisco brokerage; which of them earn pages depends on the measured data and on where you close.

  • Neighborhood plus property type, such as Noe Valley homes for sale, Mission District flats or Mission Bay condos
  • Ownership type searches, such as TIC for sale in San Francisco or how TIC financing works
  • Building names and addresses for the condo buildings you sell in
  • Home value and selling searches, such as what is my house worth in Bernal Heights or sell my flat in the Richmond
  • Process and cost questions, such as San Francisco transfer tax, rent controlled building for sale or condo HOA documents
  • Bay Area move searches, such as moving from San Francisco to San Mateo or homes near BART in Oakland
  • New development searches by neighborhood and project name, and agent and brokerage name searches, including your own

From query groups to a page plan

With each group measured, we score every tile on your closings there, the measured demand and the strength of the pages already ranking. The output is an ordered list of pages to build, each with the one query it is meant to win. You approve the list before writing starts, and we review it at month 6 against what actually moved.

How we measure: from inquiry to closed side

Rankings and traffic are early signals, not results. The result is a closed side, and the program is judged by how many closed sides started on an organic page and at what cost, next to the same figures for portals, paid search and referrals. That needs tracking most brokerage sites lack when we begin: every form, call and tour request tagged with its landing page, neighborhood or Bay Area city and source, written into your CRM and kept there through to closing.

The planning model on this page follows that chain: organic visits, the share that become inquiries, the share of inquiries that become closed sides, and the gross commission per side. As a sample, Clever's August 2026 survey puts the California averages at 2.57% for the seller side and 2.51% for the buyer side. Rounded to 2.5% and applied to the August 2026 county median of $1,875,000, one side comes to about $46,900 in gross commission before splits. That is a planning assumption, not a statement of what your firm charges; commissions are negotiable and vary by firm and transaction.

Conversion rates are the weakest numbers in any real estate plan, so we treat them as inputs to replace. First Page Sage client data puts the real estate visit to conversion average at 2.7%, and Follow Up Boss credits NAR with a band of 0.4 to 1.2% for online inquiry to closing. Both are national figures. By month 3 the tracking gives you your own rates, and the model should run on those.

What real estate SEO costs in San Francisco

Our San Francisco offer is $4,000 a month for brokerages with 20 or more agents, with a three-month minimum because the first three months build the tracking and the foundation pages. Developers with two or more projects and brokerages with several offices or markets are priced by proposal after a discovery call.

For a reference point, Redefine Web (January 2026) lists enterprise packages for brokerages in the top 25 US markets at $3,000 to $10,000+ a month, and its own enterprise tier starts at $4,500. That is one vendor's rate card, not a market survey. We found no published figure for San Francisco, so we do not quote one.

Prices in this city change the arithmetic. At the sample value of about $46,900 per side used above, a single closed side that starts on an organic page would cover the monthly fee many times over before splits. That is a planning illustration, not a forecast, and it cuts both ways: with values this high, a program that produces no closings for several months still has to be judged on early signals such as valuation requests and tour requests, which is why our reports show both.

Costs outside the fee are usually small: access to your IDX and CRM, time from your broker of record for approvals, and sometimes photography for building pages, which you own. We do not buy links, and we do not charge for tools you already pay for.

A realistic timeline

Redefine Web (January 2026) says organic rankings need 6 to 9 months to compound, and the month plan reflects that. Months 0 to 3 set up tracking, the neighborhood map and the first neighborhood pages. Months 4 to 6 add building and flat pages, home value pages, the TIC guide and the transfer tax guide. Months 7 to 9 bring market reports, press outreach and new development paths. Months 10 to 12 widen the map across the Bay and price the channel against portals and paid search. Inquiries usually trail rankings by weeks, and closings trail inquiries by months: NAR's 2025 profile puts the median home search at 10 weeks nationally, before contingencies and escrow.

What slows it down and what speeds it up

Slow approvals, an IDX setup that blocks indexing and inquiries left unanswered hold a program back more than any ranking factor. Sales data you can publish, a broker of record who reviews pages within a week and a CRM that already records source move it forward. A site migration in the middle of the year resets much of the progress, so if one is planned we schedule around it.

How to choose a real estate SEO agency in San Francisco

Most agencies can show a ranking report. Fewer can show how their work became closed sides for a brokerage. These five questions separate the two quickly.

Do they report in closed sides and GCI?

Ask for a sample monthly report. If it stops at rankings and visits, the agency is not measuring what you pay for. A useful report shows inquiries by neighborhood and source, and closed sides attributed to organic, taken from your CRM.

Do they understand your IDX and MLS feed?

Ask how they would handle duplicate listing content and filter URLs, and whether they have worked with your IDX vendor before. An agency that promises to rank every listing page has not looked at how syndication works.

Do they know DRE rules and AB 723?

Ask how they handle license numbers, team names, altered photo disclosures and fair housing language, including source of income. If the answer is that your broker can check it afterwards, expect rewrites.

Whose results are they showing you?

Ask whether each case study is a real estate client, a client in another industry or in-house work. We say plainly that our proof is the founder's in-house work at Brain Station 23, an IT services company, and that we have no San Francisco real estate case study yet.

Who owns the pages, data and accounts?

Everything built for you should sit in your own accounts from day one: analytics, Search Console, the site and the CRM fields. If the agency holds the accounts, leaving it means starting over.

Renters, landlords and rent controlled buildings

With a 2024 homeownership rate of 38.2% in Data USA's profile, San Francisco is a city of renters, and many brokerages earn part of their income from leasing and from landlords who sell later. Rental listings draw large search volumes, but each inquiry is worth less per transaction, so we treat rental pages as a source of future buyers and landlord sellers rather than the main goal: a landlord services page per neighborhood, and rental listings that link to it.

Owners of older multi-unit buildings are a seller group with questions of their own, chiefly what rent control means for value and for a buyer, given the June 1979 cutoff the Housing Rights Committee describes. A page for those owners, reviewed by counsel, can bring in listing appointments a portal never sees. Rental copy is also where fair housing errors tend to hide. California protects source of income in housing, so listing templates that once mentioned vouchers or income types need cleaning before any SEO work sends traffic to them.

AI answers and what comes next

Buyers and sellers now put questions to AI assistants and Google's AI features, such as which San Francisco neighborhoods suit a family with a fixed budget or whether a TIC share is a sensible first purchase. Google's guidance on AI features says the same fundamentals apply as in ordinary search: pages that can be crawled, that help the reader and that are clear about who wrote them are the ones that can be shown and cited. Neighborhood pages built on your closings and sourced guides are the content most likely to be picked up.

From month 10 we track a fixed set of San Francisco buyer and seller prompts across the main assistants and record whether your pages are cited, so you can follow the trend rather than rely on anecdotes. We do not promise citations, because nobody controls how those systems pick sources, but the work that earns organic inquiries is the same work that gives you a chance of being cited.

The US real estate SEO page sets out the offer this San Francisco page carries, and the hub explains the method across markets. These services often run alongside a San Francisco property program.

Wrapping up

For a San Francisco brokerage, condo or TIC team or developer, SEO earns its fee when it is built around the conversations that start income: valuation requests, tour requests and interest list signups, each tied to a page, a neighborhood or building, and followed through your CRM to a closed side. It is a slow channel, it runs beside the portals rather than replacing them, and it depends on agents who answer quickly.

If your firm fits the profile on this page, book a 30-minute call. We look at where your buyer and seller inquiries come from today, which neighborhoods, buildings and Bay Area cities hold your closings, and where portals and rival brokerages rank above you. You leave with a draft neighborhood map, and a written scope if we are a fit.

Sources for this guide

See which San Francisco neighborhoods your site could win

In a 30-minute call we look at where your buyer and seller inquiries come from now, which neighborhoods, buildings and Bay Area cities hold your closed sides, and where portals and rival brokerages rank above you. You leave with a draft neighborhood map and, if we are a fit, a written scope.

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