Engagement Proposal

Getting LLCity found — in Google and in AI answers.

A search and AI-visibility strategy for the corporate filing, registered agent, and compliance category — with the market analysis, competitor research, and week-by-week plan behind it.

A new domain can’t out-link 25-year-old incumbents. It can out-structure them for AI — where they’re weakest.

1keyword

LLCity ranks for exactly one keyword today — effectively invisible in search.

~250kvisits/mo

The realistic target: the traffic Harbor & CorpNet earn — through content, not ad budget.

84%vs 0.3%

Share of AI citations that come from earned coverage vs. paid placement — where the real work is.

Client
LLCity (llcity.com)
Prepared by
RapidDev
Date
August 2026
Status
Confidential
Contents
  1. 1Executive Summary
  2. 2Current State — LLCity Baseline
  3. 3Market & Search Landscape
  4. 4Competitive Analysis
  5. 5Strategic Rationale
  6. 6Scope of Work — Activities
  7. 7Delivery Cadence & Timeline
  8. 8Measurement & Reporting
  9. 9Commitments, Risks & Next Steps
  10. AAppendix — Data & Methodology
Key terms
AI search / answer engines
Tools that answer a question directly instead of showing links — ChatGPT, Perplexity, Google’s AI Overviews, Gemini, Claude.
GEO
Generative Engine Optimization — getting a brand cited and recommended inside those AI answers.
Registered agent
The official contact a business names to receive legal and state documents. A core recurring service LLCity sells.
Keyword difficulty (KD)
A 0–100 score of how hard it is to rank for a search term. Lower is easier. Our target band is 0–14.
Referring domains
The number of distinct websites that link to you — a common proxy for how much authority a site has.
SERP
Search Engine Results Page — what you see after a Google search.
Organic traffic
Visitors who arrive from unpaid search results — the outcome this engagement grows.
Programmatic pages
Pages generated at scale from a template + data — e.g. one page per US state, built from the same structure.
1 · Executive summary1 / 09

A strong, uncontested lane exists — and LLCity is positioned to take it.

01

Greenfield starting position

llcity.com currently holds a domain rank of 0, 34 referring domains, ranks for 1 organic keyword, and receives negligible organic traffic. There is no ranking history to preserve and no technical debt beyond the platform itself, which is not built to scale.

02

The search market splits in two

“Best / review” queries are held ~80–100% by affiliate publishers (Forbes, NerdWallet). Transactional, state, and compliance queries are held by providers and government sites, with almost no affiliate presence. Live SERPs confirm this split. The second segment is the addressable lane.

03

The attainable competitive tier is Harbor / CorpNet

Harbor Compliance drives an estimated 252,472 organic visits/mo from 2,936 referring domains; CorpNet 120,987 from 2,599. In this niche, organic performance is content-driven, not backlink-driven. A 2–3k referring-domain profile is realistic; the 26–30k profiles of LegalZoom/ZenBusiness are not the benchmark.

04

The winnable band is compliance + state registered agent

Live keyword difficulty for the target band is materially lower than assumed: certificate of good standing (KD 14), certificate of authority (KD 2), foreign qualification (KD 0), and state registered-agent terms (KD 5–10), at CPCs of $18–37.

05

AI search is the primary lever, not an add-on

Earned media accounts for ~84% of AI citations versus ~0.3% for paid/advertorial (Muck Rack, 2026). A new domain competes on structured citability and third-party trust — where the incumbents are structurally weak — rather than on domain age.

06

Engagement shape

A one-week platform rebuild followed by an SEO/GEO retainer across four parallel workstreams (Platform, On-site/GEO, Off-site Authority, Measurement). The quarter produces roughly 500 targeted pages, front-loaded with the lowest-difficulty wins to demonstrate traction fast.

Key takeaway

The short version: a strong, uncontested lane exists; LLCity is well-positioned to take it; the plan below is how — backed at every step by live data.

2 · Current state2 / 09

Invisible in search today — a clean slate with no legacy to unwind.

Exhibit 2.1Visibility today vs. the realistic target
MetricLLCity todayBenchmark
Domain rank0CorpNet 411 · Harbor 420
Referring domains34CorpNet 2,599 · Harbor 2,936
Organic keywords1CorpNet 22,401 · Harbor 43,020
Organic traffic / mo~0CorpNet 120,987 · Harbor 252,472
Indexable pages~7CorpNet ~1,230 (verified sitemap)
Programmatic state pages0Northwest ~2,000–5,000 (est.)
← swipe →
In plain terms: LLCity is starting from zero visibility. That is a disadvantage, but also means there are no past penalties to clean up — only the platform to rebuild correctly.
Exhibit 2.2Technical & structural audit
AreaFindingImpactSev.
PlatformHand-coded static site on Express + Bootstrap, no CMSCannot template or scale programmatic contenthigh
IndexationNo robots.txt, no XML sitemapNo crawl guidance or discovery signalhigh
IndexationSoft-404s — non-existent URLs return the 404 page with HTTP 200Crawl-budget waste, indexation hygienehigh
On-pageDuplicate titles (all 4 service pages share one), no meta descriptions, double H1No keyword targeting, weak SERP snippetsmed
Structured dataNo JSON-LD schema of any kindNo entity, service, or FAQ signals for AI/searchhigh
RenderingClient-side reliant, no SSR guaranteeAI crawlers do not execute JS — content may be invisiblehigh
Brand entity“LLCity” collides with generic term “LLC city”Brand queries diluted; AI entity hallucination riskmed
TrustNo Trustpilot / BBB / Google reviews, no backlinksNo third-party trust signal — the AI-citation ceilinghigh
← swipe →
Exhibit 2.3 · Point A → Point B
Point A — today
Point B — where the engagement leads
Indexable pages~7
~500
Programmatic state + service + comparison pages
Keywords ranking1
Hundreds
Led by the KD 0–14 compliance & state band
Organic traffic~0 / mo
On the Harbor / CorpNet trajectory
The content-driven tier, not the link-budget tier
AI citationsNone
Cited across engines
For target service, state & comparison queries
Reviews / trust profiles0
Live & growing
Google, Trustpilot, BBB + earned editorial
Referring domains34
Growing toward 2–3k
Via the affiliate + digital-PR engine

Point B is the trajectory over the engagement, not a 90-day promise. The first 90 days deliver the foundation, the first citable pages, and the earliest rankings and AI citations; scale and the mature trust profile build from there.

Key takeaway

Invisible today, but a clean slate. The rebuild is the foundation everything else depends on.

Source: DataForSEO Labs & Backlinks, Aug 2026; on-site audit of llcity.com.
3 · Market landscape3 / 09

The money is in compliance and state searches, where providers rank and affiliates don’t.

Exhibit 3.1Where the searches are, and who ranks
ClusterExampleVolume/moKDWho ranks
Registered agent — statetexas registered agent70k (50-state sum)5–14Providers
Compliance — good standingcertificate of good standing texas41k (sum)1–14Providers + gov
Compliance — foreign qualificationforeign qualification480 + long tail0Providers + gov
Compliance — annual report[state] annual report39k (sum)39–56 headProviders
Formation — statehow to start an llc in texas74k (sum)18–26Publishers + gov
Best / reviewbest registered agent service390–9k0–75Affiliates
← swipe →
The takeaway: the cheapest keywords to win (low KD) are exactly the compliance and state registered-agent terms — and they are the ones affiliates ignore. That is the opening.
Exhibit 3.2 · Live search-results evidence
registered agent services

Top 10 = Northwest, Harbor, CA-registered-agent, Forbes (only affiliate), RASi, Wolters Kluwer, Thomson Reuters. A provider SERP.

foreign qualification

Top 10 = Wolters Kluwer, GA SoS, CSC, Harbor, Northwest, Bizee, Cornell Law. Providers + government, zero affiliate reviews.

certificate of good standing texas

Top 10 = TX SoS, Comptroller, TX Bar, corporatecreations (#3), Wolters Kluwer. Government-heavy; provider entry at #3.

Key takeaway

The money is in transactional and compliance searches, where providers rank and affiliates don’t. That is the lane we take.

Source: DataForSEO Labs keyword_overview & Google organic SERP (live), Aug 2026.
4 · Competitive analysis4 / 09

We don’t need to beat LegalZoom — only reach the content-driven Harbor / CorpNet tier.

Exhibit 4.1 · The traffic gap
Northwest
788,538
LegalZoom
668,224
ZenBusiness
253,802
Harbor Compliance
252,472
Rocket Lawyer
204,738
MyCorporation
135,179
CorpNet
120,987
Bizee
66,774
LLCity (today)
~0
LLCity today Attainable tier — content-driven Authority tier — not the benchmark

Read the gap: the top brands earn 650k–790k visits/month on huge link profiles. But Harbor and CorpNet earn 120k–250k on a fraction of the links — because their traffic is content-driven. That tier is the realistic goal, not LegalZoom.

Exhibit 4.2Full organic benchmark
CompetitorRankRef. domainsKeywordsTraffic/mo
LLCity — today0341~0
CT Corporation (Wolters Kluwer)587
CSC (Corporation Service Company)4123,467
Cogency Global2657592,89819,389
RASi (Registered Agent Solutions)2042111,6259,671
Harbor Compliance4202,93643,020252,472
Northwest Registered Agent4556,59333,233788,538
LegalZoom41428,774138,739668,224
ZenBusiness44530,05573,157253,802
Rocket Lawyer42125,92048,717204,738
CorpNet4112,59922,401120,987
Bizee (formerly Incfile)3484,03413,10366,774
MyCorporation3583,14313,470135,179
← swipe →
Consolidation note: CT Corporation (1995), Vcorp (2016 — domain fully redirected into wolterskluwer.com), and RASi (Mar 2025) are all Wolters Kluwer. Effectively four independent authority centers remain: Wolters Kluwer/CT, CSC, Cogency, and Harbor Compliance. Vcorp is excluded from the metrics table below as it no longer operates a standalone domain.
4.3 · Enterprise / B2B cohort

CT Corporation (Wolters Kluwer)

rank 587ref.dom kw /mo

Premium leader, founded 1892. ~70% of the Fortune 500, 15,000+ law firms. RA ~$436/state/yr (est.). Now one of three Wolters Kluwer brands.

Strength

Highest raw domain authority in the set (wolterskluwer.com). Templated 50-state RA pages; named-author E-E-A-T; heavy CTA/BOI thought leadership.

Weakness

Thin SMB/top-funnel content; enterprise tone; fragmented multi-domain UX; bot-blocks AI crawlers (403) — a direct GEO liability.

Implication for LLCity

Do not contest enterprise/Fortune queries. Their AI bot-blocking is an opening: their pages are absent from what the models read.

CSC (Corporation Service Company)

rank 412ref.dom 3,467kw /mo

Enterprise-first, founded 1899. 90% of the Fortune 500. Quote-only pricing.

Strength

Very high authority (since 1899); huge brand-citation base; dominates enterprise/branded and UCC/transactional queries.

Weakness

State pages are ~70% boilerplate with no per-state fees/deadlines; content gated behind lead-gen; compliance calendar locked in CSCNavigator (not indexable).

Implication for LLCity

Beat the thin state pages with genuinely state-specific data. The SMB segment is deliberately ceded.

Cogency Global

rank 265ref.dom 759kw 2,89819,389 /mo

White-glove, founded 1980. Mid-to-enterprise; law firms, nonprofits, lenders/UCC. Quote-only.

Strength

Deep practitioner blog (~370 posts) on niche UCC/nonprofit/structured-finance topics — strong, citable authority material.

Weakness

No state-templated programmatic layer at all. Actively filters out SMB traffic. Weak on head/commercial terms.

Implication for LLCity

The entire state matrix is uncontested by Cogency. Flank their nonprofit/UCC depth rather than attack it.

RASi (Registered Agent Solutions)

rank 204ref.dom 211kw 1,6259,671 /mo

B2B/mid-market. Acquired by Wolters Kluwer (Mar 2025). Corpliance® compliance-calendar platform is the moat. RA ~$149/yr.

Strength

Rising authority via the WK halo; clean transactional/branded footprint.

Weakness

Thin content (~16 articles incl. off-topic filler); no scaled programmatic SEO; best data (due dates) locked behind login.

Implication for LLCity

Programmatic breadth is ~zero. The thin blog is easily out-produced; their gated due-date data is absent from the open web.

Harbor Compliance

rank 420ref.dom 2,936kw 43,020252,472 /mo

Purpose-built multistate compliance, founded 2012. Nonprofits + regulated industries. Semi-transparent pricing.

Strength

The strongest programmatic SEO in this cohort. License Library (24,689 agencies, 14,381 licenses); 50-state templates (charitable / annual report / license) with real per-state data and statutory citations.

Weakness

Premium/enterprise tone; two-brand dilution (Labyrinth for nonprofit); not obviously LLM-optimized despite depth.

Implication for LLCity

The pSEO benchmark to study and match — with richer per-state tables, freshness, and a GEO layer they lack.

4.4 · Consumer / SMB cohort

Northwest Registered Agent

rank 455ref.dom 6,593kw 33,233788,538 /mo

#2 RA in the US, founded 1998, family-owned. “Privacy by Default®”, US-based support. LLC $39 (RA yr 1 bundled), RA $125 flat.

Strength

Highest organic traffic in the set. Owns registered-agent terms and, per live SERP, the head “how to start an LLC.” Large free legal-forms library.

Weakness

Utilitarian/dated UX; à-la-carte model confuses novices; weak on enterprise/multi-entity; bot-blocks crawlers (403) → GEO exposure.

Implication for LLCity

Match the no-upsell substance but out-execute on UX, packaged guidance, multi-entity depth, and AI-citable structure.

LegalZoom

rank 414ref.dom 28,774kw 138,739668,224 /mo

Category leader, public (Nasdaq: LZ), ~$756M FY2025 revenue. Broadest funnel; brand + authority moat.

Strength

Highest domain authority and keyword footprint; dominates commercial and informational head terms plus a second consumer-legal vertical.

Weakness

Registered agent unbundled (~$249); upsell-heavy checkout, hidden-fee complaints; not a specialist in complex/multi-entity filings; publicly flags “search headwinds.”

Implication for LLCity

Unwinnable on brand/authority. Their “search headwinds” admission is the GEO opening — generic informational content is exactly what AI Overviews erode.

ZenBusiness

rank 445ref.dom 30,055kw 73,157253,802 /mo

Best-funded entrant ($200M Series C, ~$1.7B valuation), founded 2015. All-in-one for new founders.

Strength

Aggressive programmatic factory (state LLC + RA pages) and a large editorial blog; strong brand recall (~64% direct traffic).

Weakness

Subscription-trap funnel (auto-renewing WFC/RA); generic templated content vulnerable to helpful-content signals; does not own the head term.

Implication for LLCity

Generic template pages are beatable on depth and freshness. Target comparison/hidden-fee BOFU queries.

Rocket Lawyer

rank 421ref.dom 25,920kw 48,717204,738 /mo

Online legal-services platform, founded 2008. Subscription-first + AI. Not primarily a formation house.

Strength

Programmatic legal-document library (~1,200 templates, per-state × per-doc matrix) — a structurally large footprint pure formation players lack.

Weakness

Formation is a deprioritized secondary business; several formation URLs currently 404 after a restructure; RA not core/bundled.

Implication for LLCity

Do not fight on document templates. Attack formation, registered agent, and complex compliance — where they are weak and in flux.

CorpNet

rank 411ref.dom 2,599kw 22,401120,987 /mo

Closest analog to LLCity. Family-owned, founded 2009. Two-sided: B2C/SMB + a real B2B partner/reseller channel. Multi-state/bulk RA.

Strength

~1,230 indexable URLs (verified sitemap). ~7 per-state families (form-llc, incorporate, registered-agent, payroll-tax, secretary-of-state, meeting-minutes) + a 126-page business-licenses cluster. Founder-led E-E-A-T.

Weakness

Smaller brand/traffic; pricing friction (3% fee + $29 shipping); foreign qualification is a single hub page, not a 50-state cluster; no GEO optimization.

Implication for LLCity

The model to copy and extend. Build the per-state clusters they skipped (foreign qualification, per-state licenses); win on transparency, UX, and AI-citability.

Bizee (formerly Incfile)

rank 348ref.dom 4,034kw 13,10366,774 /mo

Original “$0 + state fee” pioneer, founded 2004. Rebranded Incfile → Bizee, late 2023. Budget/volume.

Strength

State-templated page farm + free tools (name generator). Historically strong on “free LLC” terms.

Weakness

Rebrand surrendered ~19 years of brand equity; traffic is branded-dependent and volatile; BBB “F” rating; downmarket cap.

Implication for LLCity

Non-branded organic moat is thinner than headline traffic suggests — contestable now on non-branded commercial terms.

MyCorporation

rank 358ref.dom 3,143kw 13,470135,179 /mo

Founded 1998, owned by Deluxe (2018). Positioning angle = longevity. RA outsourced.

Strength

Aged domain with topical authority on “start a corporation,” DBA/trademark; actively maintained blog.

Weakness

~30% of traffic from affiliates; Trustpilot ~3.3 (only ~280 reviews); dated .jsp UX and dead links; thinner content than ZenBusiness/LegalZoom.

Implication for LLCity

The softest target in the set — straightforward to out-content, out-transparency, and out-review.

Key takeaway

Aim for the Harbor / CorpNet tier. They got there on content depth, not a 28,000-domain link profile — which is reachable.

Source: DataForSEO Labs, Backlinks & SERP (live), Aug 2026. Domain rank on 0–1000 scale.
5 · Strategic rationale5 / 09

A new domain can’t out-link the incumbents — but it can out-structure them for AI.

5.1

Segment: B2B / compliance-first + partner channel

Consistent with LLCity’s own positioning (it lists itself alongside CT/CSC and targets accountants, attorneys, investors) and with the lowest-competition search band. The self-positioning and the data agree.

5.2

Wedge: the compliance + state band the incumbents skip

Enterprise players cede SMB; consumer brands are thin on foreign qualification, good standing, and multi-entity compliance, and hide their best data behind logins.

5.3

Axis: GEO, not a bolt-on

Every page is built as an answer-unit; the technical foundation ships with llms.txt, entity graph and schema from day one. A greenfield domain’s only route past 28k-backlink incumbents is structured citability + earned trust.

Exhibit 5.4 · How an AI engine decides to cite a brand
1FOUNDon-site — we build this
2QUOTEDon-site — we build this
3RECOGNISEDon-site — we build this
4TRUSTEDoff-site — the ceiling
1. FOUND Engines run a live web search only for persona / long-tail queries; generic head terms are answered from training data.

Our move: Persona pages mapped to LLCity’s stated audience (Delaware LLC, multi-state, non-resident founder, real-estate syndicators, accountants).

2. QUOTED The engine lifts self-contained, extractable passages — facts and tables, not prose.

Our move: Every page opens with a bolded answer-unit, then a fast-facts box and a real per-state fact table.

3. RECOGNISED A cold entity-matcher must resolve exactly one brand or it hallucinates a near-name.

Our move: Entity graph with a disambiguating description resolving “LLCity” vs “LLC city.”

4. TRUSTED The ceiling. Answers ground on third-party signal; models discount a new domain with zero external footprint.

Our move: An earned-authority engine (affiliate-driven roundup inclusion, review presence, digital PR) from month one.

84%
of AI citations are earned coverage
0.3%
are paid placement
5.5 · Why now
01

The AI land-grab is happening now

AI Overviews already appear on 8 of 10 money queries and LLCity is cited in none. Citation patterns are being set today; a greenfield domain that establishes citability early compounds — and the window before incumbents fix their AI-crawler blocking (Wolters Kluwer & Northwest currently 403 AI bots) is closing.

02

Indexing has lead time

Programmatic pages on a new domain take weeks to get indexed. To capture the Jan–Apr formation surge and each state’s annual-report deadline season, pages must be live and indexed before the season — which means starting now, not next quarter.

03

Every week invisible is citation share lost

Competitors are cited in AI answers today. Delay is not neutral — it cedes ground on the surface that is replacing classic search.

Key takeaway

Compete where a new domain can actually win: structured, AI-citable content on the lowest-competition band.

Source: Muck Rack (2026); Ahrefs (2026); Semrush most-cited-domains study (2025).
6 · Scope of work6 / 09

Four workstreams, ~500 pages, every activity tied to a reason and an output.

How we deliver ~500 pages without shipping spam

The moat is not hand-writing every page — it is a verified data store, a quality gate, and human sign-off. Volume is feasible because pages are assembled from checked data, not typed one at a time.

01

A verified data store, not hand-written pages

Per-state facts (fees, exact form names, deadlines, processing times, SoS links) are compiled once into a single structured source of truth, versioned, and fed to the templates. Pages are assembled from verified data — not written one at a time — which is what makes the volume feasible without cutting corners.

02

A quality gate on every state × service combo

Each combination is scored on real demand and how much genuinely unique data it carries. High-value, data-rich combos get a standalone page; low-demand or near-duplicate combos are consolidated into a section or skipped — so we never ship the thin, templated pages that get filtered as scaled-content spam.

03

Human fact-check + CPA sign-off on YMYL data

Because wrong filing data is a client liability, not just an SEO miss, every batch is fact-checked against the state source, and compliance claims are signed off by LLCity’s in-house CPAs on an agreed per-batch SLA. A QA sampling rate is applied to every release.

04

Staged: depth first, then scale

Weeks 1–4 ship the foundation plus ~150 pages built deep on the highest-value compliance/state band. Once the data store and template are proven, the matrix scales toward ~500 — with the QA sampling and quality gate held constant. The full 50-state matrix continues compounding beyond the first quarter.

Delivery team (roles)
SEO / GEO lead — strategy, measurement, technical oversightContent & data researcher — per-state data store, page assemblyDeveloper — platform, templates, schema, indexationQA / fact-check — YMYL accuracy, quality-gate enforcement
See it, don’t just read itA sample “Texas Registered Agent” page — built in LLCity’s design system, on live state dataOpen sample →
A

Platform & Technical Foundation

Rebuild the site on a platform that AI and search engines can actually read and that can scale to hundreds of pages.

A1

Rebuild the website on a modern platform

Move LLCity off the hand-coded static site onto Next.js — a platform that renders pages on the server and can generate hundreds of pages from a single template.

The process — what exactly we do
  1. 1Audit and migrate the 7 existing pages; map every old→new URL to a 301 redirect and audit where the 34 referring domains point, so no equity is lost in the cutover
  2. 2Build a page-template system so state and service pages can be produced at scale from a data source
  3. 3Ensure every page is fully server-rendered — visible without JavaScript, because AI crawlers do not run it
  4. 4Deploy on Vercel with a staging environment and a rollback plan for the live-site cutover
Why we do it

The current static site cannot template content or guarantee server rendering — both are prerequisites for programmatic pages and AI visibility.

What you get

A live, server-rendered site with a template system ready to scale — shipped in week 1.

A2

Open the site to every AI and search crawler

Configure the site so every major AI and search bot is explicitly permitted to read and cite it.

Who / what we targetEvery major AI & search crawler — OpenAI, Google, Anthropic (Claude), Perplexity, Bing, Apple
The process — what exactly we do
  1. 1Write a robots.txt that admits OpenAI, Google, Anthropic (Claude), Perplexity, Bing and Apple crawlers by name
  2. 2Add a content-signal header stating the site permits AI use and citation
  3. 3Test each crawler individually and confirm it receives a clean, complete page
Why we do it

Being admitted is necessary but not sufficient — a crawler must be able to reach the content before it can ever cite it, and some competitors block these bots outright (a gap we exploit). Citation is then earned through the content and trust work in §B and §C, not by crawl access alone.

What you get

Verified crawler-access configuration, tested per bot.

A3

Publish a machine-readable map for AI agents

Give AI agents a clean, structured map of the site and a plain-text version of every page.

The process — what exactly we do
  1. 1Generate an llms.txt file listing every key page with a short description and last-updated date
  2. 2Serve a clean text version of each page when an AI agent requests it
  3. 3Surface ‘last updated’ dates site-wide as a freshness signal
Why we do it

A low-cost hedge on an emerging standard: no engine has publicly committed to llms.txt as a citation input yet, but it is cheap to ship and a clean machine-readable index and plain-text pages only help agents that do consume them. Freshness dates improve how often content is used.

What you get

An llms.txt index and clean-text version of every page.

A4

Tell search & AI exactly what LLCity is

Add structured data (schema) that defines the LLCity brand and its services — and resolves the ‘LLCity vs LLC city’ confusion.

The process — what exactly we do
  1. 1Define the brand as a single, unambiguous entity with a disambiguating description (‘a corporate filing firm, unrelated to the generic term LLC city’)
  2. 2Add Organization, Service, FAQ, How-To and team-member (Person) structured data
  3. 3Link the brand to its real external profiles — LinkedIn, Crunchbase, review sites
  4. 4Validate every markup block
Why we do it

Without this, AI engines cannot reliably tell which brand LLCity is and may invent a wrong one; structured data also feeds rich results and citations.

What you get

A validated brand entity and schema across all page types.

A5

Fix the foundations + a programmatic linking & indexation system

Clean up the on-page issues from the audit (§2) and build the internal-linking and indexation system that 500 programmatic pages actually need — not a one-off pass.

The process — what exactly we do
  1. 1Replace soft-404s with real 404s; unique keyword-targeted titles/descriptions per page; single H1; canonical rules for the state-hub vs. service-hub cross-navigation
  2. 2Build a programmatic internal-linking model into the templates: hub-and-spoke silos (state hub → service → persona → conversion page), automated adjacent-state and same-service cross-links, breadcrumbs, orphan-page prevention
  3. 3Phased XML sitemaps + internal-link-driven discovery so a low-authority domain gets pages crawled without hitting ‘Discovered — currently not indexed’
  4. 4Weekly GSC coverage monitoring with a pruning loop — consolidate or noindex thin combos rather than let them drag the domain
Why we do it

At 500 pages, internal linking IS the topical-authority system, and indexation on a rank-0 domain is a real risk Google throttles — both must be designed up front, not retrofitted.

What you get

A clean crawl, a programmatic linking model, and a monitored indexation pipeline.

A6

Make it fast on mobile

Hit Google’s Core Web Vitals performance targets, especially on mobile.

The process — what exactly we do
  1. 1Convert and compress images to modern formats (WebP) and size them correctly
  2. 2Optimize loading so pages pass Core Web Vitals in the field
Why we do it

Speed is both a ranking signal and a crawl-efficiency factor; heavy pages waste crawl budget.

What you get

Core Web Vitals passing on mobile and desktop.

A7

Instrument analytics and capture the starting line

Install the measurement stack and record the day-0 baseline before any content ships.

The process — what exactly we do
  1. 1Set up Google Analytics 4, Google Search Console and Bing Webmaster Tools
  2. 2Configure IndexNow (fast indexing for Bing/Perplexity) and rank tracking
  3. 3Keep Cloudflare in front of Vercel so its AI-bot audit can track which AI crawlers actually visit (and provide WAF); reconcile the proxy setup as part of the A1 cutover
  4. 4Cross-validate the headline keyword volumes/KD against a second tool (Ahrefs or Semrush) before committing the content roadmap — the §3/appendix figures are single-tool estimates
  5. 5Run the day-0 AI-citation baseline (see D1) so progress is measurable
Why we do it

You cannot show progress without a clean starting measurement — and the KD/volume thesis deserves a second-tool check before scale.

What you get

Full analytics instrumentation, cross-validated keyword data, and a documented baseline.

B

On-site Content & GEO

Write the pages that win the low-competition band — structured so both Google ranks them and AI engines quote them.

B1

In-depth service pages (~10)

Write the definitive page for each core service — registered agent, foreign qualification, certificate of good standing, annual report, incorporation, DBA, EIN, S-corp election, business licenses, operating agreements — each the clearest answer on the web and built for AI to quote.

Who / what we targetHigh-intent buyers searching ‘registered agent’, ‘foreign qualification’, ‘certificate of good standing’ (KD 0–38, $18–37 CPC)
The process — what exactly we do
  1. 1Research the exact questions buyers and AI ask for each service (mining Google’s ‘People also ask’ and live AI answers)
  2. 2Open each page with a direct, quotable 2–3 sentence answer an AI can lift verbatim
  3. 3Add a scannable facts box and a comparison table with real numbers (fees, timelines, coverage)
  4. 4Cover the criteria buyers actually judge on: turnaround, national coverage, privacy of the owner’s address, transparent price
  5. 5Include an honest ‘when you don’t need this / a cheaper option is fine’ section — the one thing every AI model rewards
  6. 6Write an FAQ using the exact wording people search
  7. 7Add FAQ and Service schema so engines parse it correctly
Why we do it

These terms sit in the winnable band and are high-intent; the structure is exactly what AI engines quote.

What you get

~10 service pages built to rank and be cited.

B2

Six pages for specific customer situations

Build pages aimed at specific buyer situations, because those specific searches are what trigger a live AI web search (generic terms get answered from memory).

Who / what we targetDelaware-LLC owners · multi-state businesses · non-resident founders · S-corps · real-estate syndicators · accountants managing client entities
The process — what exactly we do
  1. 1Map the situations to LLCity’s own audience: a Delaware LLC, a multi-state business, a non-resident/foreign founder, an S-corp, real-estate investors & syndicators, accountants managing client entities
  2. 2Write each page to answer that situation’s exact needs and objections
  3. 3Link each into the relevant service and state pages
Why we do it

Specific, situational queries are the ones that make AI engines run a live search — and they match the audience LLCity already lists on its site.

What you get

6 situation-specific pages that act as entry points.

B3

16 state pages with real, verified data — first wave

Build state pages for the 8 highest-demand states (registered agent + certificate of good standing) using real, fact-checked per-state data.

Who / what we targetSearchers of ‘[state] registered agent’ and ‘[state] certificate of good standing’ — the 8 highest-demand states first
The process — what exactly we do
  1. 1Compile the real data per state: filing fees, exact form names, deadlines, processing times, and the official Secretary of State links
  2. 2Prioritize Delaware, Wyoming, Florida, Texas, New Jersey, Illinois, California, Colorado (ranked by live demand)
  3. 3Build each page: quotable answer + data table + state-specific quirks + FAQ
  4. 4Fact-check every figure against the state’s own source
Why we do it

Accurate per-state data is the moat — thin, generic state pages get filtered as spam. This is where competitors like CorpNet are beatable.

What you get

16 data-rich, fact-checked state pages.

B4

Scale the state matrix to ~450 pages

Extend the proven template across all 50 states and up to ~9 service families — the bulk of the quarter’s ~500-page output.

Who / what we targetStatewide compliance & registered-agent searches across all 50 states — ~150k+ monthly searches in the target families
The process — what exactly we do
  1. 1Roll the template across registered agent, good standing, annual report, foreign qualification, formation, incorporation, change-of-agent, business licenses and EIN/DBA
  2. 2Apply the same per-state data rigor and fact-checking to every page
  3. 3Build the foreign-qualification cluster competitors left as a single page — an open lane
  4. 4Produce at a steady ~45–55 pages/week cadence (see §7 week-by-week)
Why we do it

This is the programmatic engine: ~450 pages across the addressable state matrix, capturing the compliance clusters affiliates ignore.

What you get

~450 programmatic state pages live by end of quarter.

B5

Buying guides & competitor comparison pages

Publish neutral buying guides and head-to-head comparison pages that capture bottom-of-funnel and ‘alternatives’ searches.

Who / what we targetBottom-funnel searchers comparing providers or looking to switch (‘X vs Y’, ‘alternatives to X’)
The process — what exactly we do
  1. 1Write a neutral ‘best registered agent service’ guide with a fair competitor table
  2. 2Build ‘LLCity vs Northwest / CorpNet / LegalZoom’ comparison pages
  3. 3Build ‘alternatives to [competitor]’ pages
Why we do it

Comparison and alternatives pages are exactly the surface AI retrieves when someone asks for a recommendation or a switch.

What you get

A guide + comparison/alternatives cluster.

B6

Plain-English explainer hub

Publish answer-first explainers that capture top-of-funnel questions and feed links to the money pages.

Who / what we targetEarly-stage researchers asking ‘what is…’ questions — top of the funnel
The process — what exactly we do
  1. 1Write ‘what is a registered agent’, ‘what is foreign qualification’, ‘is the BOI report still required in 2026’, etc.
  2. 2Lead each with a direct, citable answer and an FAQ
  3. 3Link each explainer down to the relevant service and state pages
Why we do it

These capture early-stage questions, build topical authority, and are highly quotable in AI answers.

What you get

A seeded learn/explainer hub.

B7

Real authors and credentials on the content

Put named experts — the founder and in-house CPAs — behind the content, with profiles and credentials.

Who / what we targetThe trust bar that Google and AI apply to legal (YMYL) content
The process — what exactly we do
  1. 1Create author profiles with photos, bios and real credentials
  2. 2Add Person schema and link to their professional profiles
  3. 3Byline the legal/compliance content to a credible named expert
Why we do it

Legal content is ‘your money or your life’ territory — search and AI hold it to a higher trust bar, and named-expert authorship counters the ‘anonymous/white-label’ signal AI flags.

What you get

Credentialed author entities on all sensitive content.

B8

A proprietary tool + data asset (the durable moat)

Build a free, genuinely useful tool and a data study on the per-state data competitors hide behind a login — the one asset a competitor can’t cheaply copy, that earns editorial links passively and is natively AI-citable.

Who / what we targetJournalists, editors and AI engines that cite tools & data studies; searchers using a free compliance tool
The process — what exactly we do
  1. 1Ship a free 50-state compliance-deadline + filing-fee lookup tool, built on the verified data store (§A/§B3)
  2. 2Add Dataset schema so the tables are machine-readable and citable by AI
  3. 3Publish an annual ‘filing fees & deadlines by state’ data study as a digital-PR / link-earning asset
  4. 4Publish a free legal-forms starter library (operating agreement, articles) as a topical-authority magnet
Why we do it

Digital PR without a linkable asset is low-yield outreach. A proprietary tool/data asset earns links and citations at scale, differentiates from thin templated competitors, and is the closest thing to a durable moat in a copyable space.

What you get

A free tool, a linkable data study, and a forms library.

B9

B2B / partner-channel track (the two-sided differentiator)

Build the accountant / attorney / reseller channel LLCity already positions for — a recurring, higher-LTV, less-SERP-contested lane that CorpNet proves works, and that the plan should not shrink to a single persona page.

Who / what we targetAccountants, attorneys, payroll providers and resellers — recurring, higher-LTV B2B buyers
The process — what exactly we do
  1. 1Build partner / reseller landing pages and a white-label / API content set
  2. 2Target B2B intent: ‘registered agent for accountants’, ‘bulk registered agent’, ‘white-label formation’, partner-program terms
  3. 3Create referral-partner onboarding content and case-style proof for the channel
Why we do it

The partner channel is LLCity’s stated core differentiator and diversifies beyond consumer SERPs into recurring, higher-value revenue — a defensible lane the incumbents (except CorpNet) under-serve.

What you get

A live B2B/partner content track and lead path.

C

Off-site Authority (the earned-trust engine)

Build the third-party trust that AI grounds on — the ceiling on visibility for a new domain — cleanly and safely.

C1

Affiliate program to improve roundup inclusion

Stand up an affiliate program that gives review publishers a commercial reason to list and rank LLCity in the ‘best registered agent’ roundups AI engines cite. This materially increases the probability of inclusion — it does not guarantee a #1 slot.

Who / what we targetThe 15–20 review publishers whose ‘best registered agent’ roundups AI engines cite
The process — what exactly we do
  1. 1Set up the program on Awin — the network the niche’s review publishers already use
  2. 2Set a competitive payout ($150–200 per referral, 45–60 day cookie); agree target CAC and payback with the client first, since this is the client’s margin
  3. 3Sequence direct publisher recruitment after an initial review base exists — publishers gate on reputation, not commission alone
  4. 4Keep the affiliate track separate from the neutral buying guide (§B5) to avoid an FTC-disclosure conflict
Why we do it

In this niche, roundup rankings correlate strongly with commission economics, so a competitive payout is the most effective lever available — but inclusion still depends on reviews and reputation, which is why this runs alongside §C2 and §C3, not instead of them.

What you get

A live affiliate program, agreed unit economics, and a publisher pipeline.

C2

Own the review platforms AI reads

Claim and grow the review profiles AI engines ground on — in full compliance with the FTC’s fake-review rule.

Who / what we targetProspects who check Trustpilot, Google and BBB before buying — and the AI engines that read those reviews
The process — what exactly we do
  1. 1Verify Google Business Profile eligibility first — LLCity’s HQ is a virtual/coworking address, which Google may reject; if so, fall back to hardened NAP citations + service-area-business schema
  2. 2Claim Trustpilot (free tier) and pursue BBB accreditation regardless of GBP outcome
  3. 3Set up compliant post-purchase review requests — never incentivized for a specific rating (FTC rule, Oct 2024)
  4. 4Monitor and respond to reviews
Why we do it

Review sites appear in ~34.5% of commercial AI Overviews, and 2+ profiles correlate with materially higher citation odds — a directional signal we treat as a reason to prioritize reviews, not a guaranteed multiplier.

What you get

Claimed profiles (or the fallback trust stack) and a growing, genuine review base.

C3

Earn editorial coverage (digital PR)

Earn genuine third-party mentions — the source of ~84% of AI citations.

Who / what we targetJournalists, analysts and editorial review sites (LLC University, TRUiC)
The process — what exactly we do
  1. 1Monitor journalist requests (Featured, Qwoted) and pitch expert quotes from the founder/CPAs
  2. 2Pitch the editorial review sites (LLC University, TRUiC) for inclusion, with data and a clear differentiator
  3. 3Place the founder as a bylined expert in small-business / accounting press
Why we do it

Earned coverage is ~84% of AI citations vs ~0.3% for paid placement — this is the highest-leverage off-site work.

What you get

A steady flow of earned mentions and expert placements.

C4

Genuine community presence & business listings

Build a real presence on the community sources AI grounds on, and seed the business databases that feed the Knowledge Graph.

Who / what we targetr/smallbusiness and r/llc communities; the business databases feeding the Knowledge Graph
The process — what exactly we do
  1. 1Participate genuinely and helpfully in r/smallbusiness and r/llc (no astroturfing)
  2. 2Create and maintain Crunchbase, LinkedIn company, and industry-directory records
  3. 3Seed Wikidata / Knowledge Graph entries where genuinely notable
Why we do it

Reddit is the single most-cited source across AI engines; consistent business listings strengthen the brand entity.

What you get

A genuine community footprint and clean entity records.

D

Measurement & Reporting

Track the thing that matters — whether AI cites LLCity — and report it on a predictable cadence.

D1

Measure AI citations directly

Run a fixed set of real questions across every major AI engine and record whether LLCity is named — the metric almost no agency reports.

The process — what exactly we do
  1. 1Define 20 fixed questions covering the target services and comparisons
  2. 2Run them word-for-word across ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude at day 0, 7, 14, 21, 30 — then monthly
  3. 3Log which sources each engine cites (this map shows where off-site effort must go)
  4. 4Run a control with the URL pasted in, to separate ‘were we found’ from ‘was the content good’
Why we do it

This isolates discovery from content quality and produces the headline metric: time to the first AI citation.

What you get

A baseline and recurring AI-citation logs.

D2

One dashboard, a predictable reporting rhythm

Give LLCity a single view of progress and a fixed communication cadence.

The process — what exactly we do
  1. 1Build a dashboard combining AI share-of-voice, cited-source map, rankings and indexation
  2. 2Send weekly async status updates and a bi-weekly written report
  3. 3Hold a monthly review call: results vs. plan, next-month priorities
Why we do it

A single view and a predictable rhythm keep the engagement transparent and accountable.

What you get

A live dashboard and a scheduled reporting cadence.

6.E · Off-site guardrails — excluded by policy

The following are deliberately out of scope. In a legal-services category, and for a reputation-sensitive owner, the regulatory and brand risk outweighs any short-term gain.

Bought / incentivized / fake reviews

FTC final rule (Oct 2024): ~$51.7k per violation, potentially per review. A legal brand cannot carry this risk.

Paid followed links / niche edits / PBNs

Google spam-policy violation (Dec 2024 + Aug 2025 updates); silent devaluation with ~0 AI upside.

“Featured on 200+ sites” PR syndication

Duplicate, de-duplicated content; ~0 AI citations.

Key takeaway

Four workstreams, every activity tied to a reason and an output. Nothing here is busywork.

Source: Detailed sequencing and page targets in §7; commitments and risks in §9.
7 · Timeline7 / 09

Platform in week 1, then ~45–55 pages a week to ~500.

Exhibit 7.1 · Week-by-week plan
Week 1
Platform live
  • Rebuild on Next.js; migrate the 7 existing pages
  • AI-crawler robots.txt + Content-Signal; SSR verified
  • Entity graph, schema, llms.txt; XML sitemap, real 404s
  • Analytics (GA4/GSC/Bing/IndexNow) + day-0 AI-citation baseline
7
migrate 7
Week 2
Templates + service pages
  • Build the programmatic page-template system
  • Ship ~10 in-depth service pages (registered agent, foreign qualification, good standing, annual report…)
  • Stand up the per-state data pipeline (fees, forms, deadlines, SoS links)
17
+10
Week 3
Personas + state wave 1
  • ~10 persona pages (Delaware LLC, multi-state, non-resident founder, syndicators, accountants…)
  • First 10 states × {registered agent, good standing} = 20 pages
  • Claim Google Business Profile, Trustpilot, BBB
47
+30
Week 4
State production ramp
  • 45 state pages (RA + good standing, next states)
  • Launch Awin affiliate program; set above-market payout
  • First internal-linking pass
92
+45
Week 5
Annual-report family
  • 50 state pages — annual report + foreign qualification families begin
  • Recruit first review-roundup publishers into the affiliate program
  • Start HARO / digital-PR pitching
142
+50
Week 6
Foreign-qualification family
  • 50 state pages — foreign qualification + change-of-agent
  • Comparison pages begin (LLCity vs Northwest / CorpNet / LegalZoom)
  • Day-30 measurement checkpoint vs. baseline
192
+50
Week 7
Comparison + guides
  • 50 state pages
  • Finish comparison + ‘alternatives to’ cluster (~15 pages)
  • Neutral ‘best registered agent 2026’ buying guide
242
+50
Week 8
Explainer hub
  • 50 state pages
  • Seed plain-English explainer hub (what is a registered agent, foreign qualification, BOI 2026…)
  • Reddit / community participation begins
292
+50
Week 9
License / EIN / DBA families
  • 50 state pages — business-license, EIN and DBA families
  • Entity seeding (Crunchbase, LinkedIn, directories, Wikidata)
  • Ongoing PR: earned mentions and expert placements
342
+50
Week 10
State matrix fill
  • 55 state pages — fill remaining state × family gaps
  • Second measurement run; adjust priorities by what AI is citing
  • Freshness pass on early pages
397
+55
Week 11
Matrix completion + linking
  • 55 state pages to complete the matrix
  • Full internal-linking and topical-cluster pass
  • QA: schema validation, data fact-check sweep
452
+55
Week 12
QA, measurement, review
  • Final pages to ~500; site-wide QA and CWV check
  • Full 20-query AI-citation measurement across 5 engines
  • Quarter review + next-quarter roadmap
500
+~48
End of quarter≈ 500 pages live
Exhibit 7.2Phase overview
PhaseWeeksMilestone
Phase 0 — FoundationWeek 1AI-indexable platform live; entity graph, llms.txt, analytics baseline shipped.
Phase 1 — Citable coreWeeks 2–4~10 service + ~10 persona + first state pages live; review profiles claimed.
Phase 2 — Scale & authorityWeeks 5–12~500 pages total; affiliate program live; first AI citations; live dashboard.
← swipe →
Exhibit 7.3Reporting cadence
FrequencyDeliverable
WeeklyAsync status: activities shipped, pages published, blockers.
Bi-weeklyWritten report: rankings, indexation, AI-citation deltas.
Day 0/7/14/21/3020-query AI-citation measurement runs.
MonthlyReview call: results vs. plan, next-month priorities.
← swipe →
Key takeaway

Fastest wins first, inside the retainer — and honest about what continues after.

Source: Page counts are production targets; programmatic pages ship from a template + verified per-state data.
8 · Measurement8 / 09

We measure the one thing that matters: whether AI cites LLCity.

Exhibit 8.1 · Live AI-citation baseline — who Google’s AI Overview cites today
8/10
money queries now show an AI Overview
0
of them cite LLCity
youtube.com
18×
harborcompliance.com
northwestregisteredagent.com
wolterskluwer.com
forbes.com
reddit.com
corpnet.com
mycorporation.com
llcity.com
0
LLCity (absent) Attainable tier — already cited Others cited

Run live via DataForSEO (Aug 2026): Google AI Overviews now appear on 8 of 10 core money queries — and LLCity is cited in zero. The engines already ground on Harbor, CorpNet and MyCorporation (proof the attainable tier is cited today), plus YouTube and Reddit. This is the baseline the measurement program tracks from day 0.

Exhibit 8.2KPI framework — what we track from here
KPIDefinitionType
Time-to-first-citationDays to the first organic citation of llcity.com in an AI answer without a pasted URL.Primary
AI share-of-voice% of target queries where LLCity appears in the AI answer, across 5 engines.Primary
Indexed page countProgrammatic + editorial pages indexed (GSC).Leading
Low-KD keyword rankingsPositions on the KD 0–14 compliance/state band.Leading
Referring domainsGrowth toward the 2–3k attainable-tier benchmark.Leading
Organic traffic & clicksGSC/GA4 sessions — tracked, but the by-product.Lagging
← swipe →
Key takeaway

Google AI Overviews already answer 8 of 10 core queries in this category — and LLCity is in none of them. That is the gap this engagement closes, and the baseline we measure against from day 0.

Source: Live baseline via DataForSEO (Google AI Overview references), Aug 2026; ongoing 20-query protocol across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude.
9 · Commitments, risks & next steps9 / 09

What we commit to, what we need, and how we start.

9.1 · What we commit to — targets by month
By Month 3Foundation + first wins
  • Platform rebuilt, AI-indexable, technical foundation complete
  • ~150 in-depth priority pages published and indexed
  • Review profiles claimed; affiliate program live
  • Day-0 AI-citation baseline + first citations on low-KD terms
  • First page-1 rankings on the easiest (KD 0–5) compliance/state terms
By Month 6Traction
  • ~350 pages live across the compliance/state matrix
  • Measurable organic-traffic ramp; multiple page-1 rankings in the target band
  • AI citations across ≥2 engines for target service & state queries
  • Growing review base and first earned editorial mentions
By Month 12Established lane
  • ~500+ pages; established organic traffic on the compliance/state lane
  • Broad AI-citation share vs. competitors on target queries
  • Referring-domain profile on the 2–3k (Harbor/CorpNet) trajectory

These are targets reviewed monthly against actuals. If a monthly gate is missed, the next review diagnoses and adjusts scope — or triggers the exit path (§9). Traffic and mature AI-citation share are multi-quarter outcomes; the Month-3 items are the near-term committed deliverables.

Exhibit 9.2 · Risk register
RiskLikelihoodMitigation
Programmatic pages don’t get indexed on a new, low-authority domainHighPhased sitemaps, internal-link-driven discovery, prune thin combos, weekly GSC coverage monitoring
Wrong per-state legal data (YMYL liability)MedSingle verified data store + CPA sign-off + QA sampling on every batch
Scaled-content-abuse / thin-content penaltyMedPer-combo quality gate; genuinely unique per-state data; consolidate low-demand combos
AI-citation mechanics shift (engines change how they cite)MedThe classic-SEO foundation still pays off; multi-run measurement; no single-channel over-reliance
GBP ineligible on the virtual HQ addressHighFallback to NAP/citations + Trustpilot/BBB + service-area schema; resolve before promising GBP
Traffic dip during the platform migrationLowFull old→new 301 redirect map, staging environment, rollback plan
9.3 · What we need from you
  • Repo / hosting / analytics access and domain control for the cutover
  • In-house CPA time for bylines and per-batch legal/accuracy sign-off (agreed review SLA)
  • Product, package and pricing data + review access for affiliate publishers
  • Confirmation of segment focus (SMB vs. B2B/partner emphasis) before build
  • Approval — with legal review — of competitor-comparison content
9.4 · Ownership & terms
  • Work-for-hire: LLCity owns the codebase, all content, the affiliate program, and the review/GBP profiles
  • The per-state data store and all analytics accounts remain client-owned
  • 30-day offboarding and full handover on termination — no lock-in
  • Monthly review gate with target-vs-actual; documented adjust-or-exit path
9.5 · How we start
1

Kickoff & access

Week-0 call; provision repo, hosting, analytics and domain access.

2

Confirm focus

Lock the segment emphasis and first-wave state priority.

3

Live AI-citation baseline

Delivered as the first artifact — where LLCity and competitors stand in AI answers today.

4

Commercial shape

One-week platform build + quarterly retainer; investment scoped in the follow-up.

The ask

Approve a week-0 kickoff. The first deliverable is a live AI-citation baseline — a concrete look at where LLCity and its competitors stand in AI answers today — before any retainer decision.

A · AppendixA / 09

The underlying data.

Exhibit A.1Keyword data — target band (green = easiest to win)
KeywordVolumeKD
registered agent14,80038
registered agent services12,10038
registered agent for llc9,90017
texas registered agent8,1005
california registered agent3,6005
florida registered agent4,40010
new york registered agent1,6007
change registered agent3909
cheap registered agent3203
certificate of good standing8,10014
certificate of good standing texas3,6001
certificate of good standing california1,9001
certificate of authority3,6002
foreign qualification4800
foreign qualification california11014
annual report filing1,90056
file annual report1,90039
how to start an llc22,20026
how to start an llc in texas9,90018
llc formation service22,20023
llc cost2,90015
series llc1,9001
s corp election15
form 255322,20028
corporate compliance1,30017
entity management software2606
boi report4,40036
best registered agent service3900
best llc service1,3006
← swipe →
Exhibit A.2Per-state demand — first-wave priority
StateRACGSARLLC
Delaware4,4005,4002,900880
Florida4,4001,6006,6005,400
Texas8,1003,6005909,900
New Jersey2,4002,9006,6001,900
Wyoming8,100880720390
Illinois1,6005,4001,9002,400
California3,6001,9005906,600
Colorado2,4001,6004801,900
Washington1,6003902,4001,000
Georgia2,9008804802,900
← swipe →
RA = registered agent · CGS = certificate of good standing · AR = annual report · LLC = formation.
A.3 · Data sources
  • Keyword volume / difficulty / intent: DataForSEO Labs keyword_overview (live), United States, English.
  • Per-state volume: DataForSEO Google Ads search_volume (live), 200 keywords across 50 states × 4 families.
  • Domain traffic estimates: DataForSEO Labs bulk_traffic_estimation (live), US organic.
  • Referring domains: DataForSEO Backlinks bulk_referring_domains (live).
  • SERP composition: DataForSEO Google organic live/advanced, top-10, US.
  • Competitor page-level data: DataForSEO Labs ranked_keywords (live), top-10 filter, ordered by ETV.
  • AI-citation source benchmarks: Muck Rack (2026), Ahrefs (2026), Semrush most-cited-domains study (2025).
A.4 · Caveats
  • Traffic, referring-domain and KD figures are tool estimates and vary by provider and month; validate before contractual commitments.
  • Wolters Kluwer properties (CT, Vcorp, RASi-migrating) bot-block crawlers; those findings rely on SERP composition and public sources.
  • Competitor pricing is drawn from third-party reviews and may be dated; confirm current pricing before client-facing use.
  • BOI/Corporate Transparency Act status has been legally volatile; the domestic reporting requirement was removed Mar 2025 — re-verify before publishing BOI content.
Source: DataForSEO (Labs, Backlinks, Google Ads, SERP), live, Aug 2026.