Research before spend, Austin, TX

Keyword Research & Competitor Analysis Services That Show You Exactly Where to Win

Most SEO budgets die before the first article is written: spent on keywords nobody searches, pages built in the wrong format, and rankings a competitor locked up years ago.

Fivet Solutions LLC, an SEO agency based in Austin, TX, replaces that guesswork with evidence. We map the searches your customers actually run, classify each by intent and realistic difficulty, and reverse-engineer the competitors currently taking those clicks, then hand you a prioritized keyword-to-page roadmap your team or ours can execute.

  • Based in Austin, TX
  • Since 2017
  • Ahrefs, Semrush, Search Console
  • Intent verified on live SERPs

Free SEO audit & custom plan

Get your monthly SEO plan and price

Tell us your website. We review it and send a recommended scope with an actual price. No obligation.

We reply within 24 hours, usually much sooner.

The platforms we turn into pipeline

Google Ads
Meta
Instagram
TikTok
LinkedIn
YouTube
Amazon
Pinterest
Reddit
Snapchat
ChatGPT
Google Ads
Meta
Instagram
TikTok
LinkedIn
YouTube
Amazon
Pinterest
Reddit
Snapchat
ChatGPT
Keyword Research
Competitor Analysis
Search Intent
Keyword Clusters
Content Gaps
SERP Data
Keyword Research
Competitor Analysis
Search Intent
Keyword Clusters
Content Gaps
SERP Data

9000+

Projects delivered worldwide

9+

Years compounding growth

100%

White-hat, transparent work

23

Specialist services, one roof

4.9

Google Reviews · from client reviews

4.8

Clutch · verified B2B reviews

4.9

Trustpilot · rated Excellent

Our keyword research services are built for

Local businesses
Ecommerce stores
SaaS companies
B2B brands
Law firms
Home services
Healthcare practices
Online publishers
Startups
Franchises
Local businesses
Ecommerce stores
SaaS companies
B2B brands
Law firms
Home services
Healthcare practices
Online publishers
Startups
Franchises

The foundation

What Are Keyword Research & Competitor Analysis Services?

Keyword research is the process of discovering the exact words and questions your potential customers type or speak into search engines, then measuring the demand, intent, and ranking difficulty behind each one so you know which searches are worth building pages for.

Competitor analysis is the process of identifying the websites that currently rank for those searches, benchmarking their authority, content, and backlinks, and isolating the gaps where they are absent or weak enough to be overtaken.

Together, they answer the two questions every SEO campaign must get right before a dollar is spent: what should we build, and what will it take to win? A campaign that skips this step is easy to recognize six months later: a blog full of articles nobody searches for, a services page targeting a phrase customers never use, and the one keyword that actually drives calls held by a competitor whose page has quietly sat in position two since 2021.

Auditing websites in Austin and beyond, we see the same pattern constantly: SEO money disappears not through bad writing or broken code, but through good pages aimed at the wrong targets. Research is the map every subsequent piece of on-page SEO and content work follows.

The deliverable is not a spreadsheet of keywords. It is a decision: this page, for this search, in this format, in this order.

The intent matrix

The Four Types of Search Intent (and Why They Decide What You Build)

Search intent is the goal behind a query, and it comes in four types: informational, commercial, transactional, and navigational. Google ranks pages that match the dominant intent of each keyword, so intent, not volume, decides what kind of page can rank. We classify every keyword by reading the live results Google is already rewarding, because the SERP is the only intent label that cannot lie.

Informational

The searcher wants to learn something or solve a problem, not buy anything yet.

  • “why is my ac blowing warm air”
  • “what is a keyword cluster”
  • “how does invisalign work”

Page format

Guides, blog posts, how-to articles, FAQ content

Why it matters

Builds topical authority and captures buyers early, before they know which company they will call.

Commercial

The searcher is comparing options and evaluating providers before making a decision.

  • “best hvac companies in austin”
  • “ahrefs vs semrush”
  • “invisalign cost comparison”

Page format

Comparison pages, best-of lists, reviews, cost guides

Why it matters

The highest-leverage middle of the funnel: whoever frames the comparison usually wins the customer.

Transactional

The searcher is ready to act: buy, book, call, request a quote, or hire.

  • “ac repair austin tx”
  • “emergency plumber near me”
  • “hire seo agency”

Page format

Service pages, product and category pages, location pages

Why it matters

Your money keywords. Lower volume than informational terms, dramatically higher revenue per visit.

Navigational

The searcher is trying to reach a specific website or brand they already know.

  • “fivet solutions”
  • “yelp austin hvac”
  • “google business profile login”

Page format

Home page, brand pages, profile listings

Why it matters

You must own your own brand searches. Competitor brand terms also reveal who buyers already trust.

The intent mistakes that quietly waste budgets

  • A blog post targeting a transactional keyword almost never outranks the service pages Google prefers for it.
  • A service page targeting an informational question reads like an ad and rarely earns the ranking.
  • Mixed-intent keywords need a SERP check, not a guess: the pages already ranking tell you what Google wants.
  • Intent shifts over time, so a keyword mapped correctly last year can need a different page format today.

Picking winnable fights

Keyword Difficulty vs Keyword Opportunity: How We Score What to Chase

Keyword difficulty estimates how hard it is to reach the first page for a term, while keyword opportunity weighs that difficulty against demand and business value to find the targets actually worth pursuing. Tool scores are a useful starting point, but generic: a difficulty of 40 means something very different to a ten-year-old authority site than to a website launched last spring, so we calibrate every score against your site and the specific SERP.

What actually determines difficulty

1

Authority of ranking domains

When every first-page result is an established brand with thousands of referring domains, a newer site needs a different entry point.

2

Referring domains of ranking pages

We look at the links pointing to the specific pages that rank, because that, not sitewide authority alone, is what your page must compete against.

3

Content depth and quality

Thin, outdated, or generic ranking pages signal a beatable SERP even when the domains look strong on paper.

4

SERP feature crowding

Ads, map packs, AI Overviews, and shopping results push organic listings down. A number one ranking under four ads is worth less than the tool score implies.

5

Brand and intent lock-in

Some SERPs are locked to big aggregators or exact-brand results. No amount of optimization beats a SERP Google has reserved for a different kind of site.

Where opportunity hides

The best targets are rarely the biggest keywords. They are the ones where demand, winnability, and buying intent overlap. We hunt for:

  • Pages ranking with thin or outdated content you can clearly beat
  • Keywords where you already sit on page two in Google Search Console
  • Question queries with weak forum answers ranking (Reddit, Quora threads)
  • Local intent terms where national sites rank but no strong local page exists
  • Long-tail variations your competitors' pages mention but never target directly
  • SERPs where a featured snippet exists but the current holder answers poorly

The cost of getting this wrong is not abstract. It is a year of content aimed at a keyword your domain could never win, while a page-two keyword that needed one content refresh sat ignored in Google Search Console the entire time.

Seed to cluster to roadmap

Our 5-Step Keyword Research & Competitor Analysis Process

Our process moves from seed terms to a full keyword universe, then compresses it into intent-based clusters mapped to specific pages. Every step produces a documented output.

01

Discovery and seed terms

We start with your business, not a tool. We learn which services or products drive margin, which customers you want more of, and which locations matter, then build the seed list: the plain-language terms customers use to describe what you sell. Seeding from revenue priorities keeps the whole project pointed at money instead of vanity traffic.

You get

  • Business and revenue priorities documented
  • Seed keyword list
  • Target locations and audiences defined
02

Keyword universe expansion

Each seed term is expanded into every meaningful variation using Ahrefs and Semrush databases, Google Autocomplete, People Also Ask, and the keywords your competitors already rank for. A ten-term seed list routinely expands into thousands of raw candidates, and low-volume terms with buying intent deliberately survive this stage.

You get

  • Full raw keyword universe
  • Search volume and trend data
  • Question and long-tail variants captured
03

Intent classification and clustering

Every surviving keyword is classified by intent from the live SERP, not a tool label. Keywords sharing the same intent and ranking pages are grouped into clusters, because Google ranks one strong page for a cluster of related terms, not one page per keyword. This step decides how many pages you actually need.

You get

  • Intent label on every keyword
  • Keywords grouped into page-level clusters
  • Page format defined per cluster
04

Competitor and gap analysis

We identify your true organic competitors, the domains ranking for your money clusters, then benchmark their authority, content depth, and coverage. Keyword, content, and backlink gap reports surface every valuable cluster they rank for that you do not, and every cluster where they are weak enough to overtake.

You get

  • True competitor set identified
  • Keyword and content gap report
  • Backlink gap benchmarks per money cluster
05

Scoring, mapping, and roadmap

Each cluster is scored on demand, difficulty, business value, and speed to results, then mapped to an existing URL or flagged as a new page, which also exposes cannibalization where two of your pages fight over one term. The result is a prioritized roadmap with content briefs, so the first thing built is the thing most likely to produce revenue.

You get

  • Priority-scored cluster list
  • Keyword-to-page map
  • Execution roadmap with content briefs

What a keyword cluster deliverable looks like

Here is a simplified, illustrative slice of a cluster map for a fictional Austin HVAC company. Bands are shown instead of exact numbers on purpose: real volumes vary by data source and date, and the decision logic matters more than any figure.

Illustrative keyword cluster table showing keyword, search intent, volume band, difficulty band, and priority for a fictional Austin HVAC company
KeywordIntentVolume bandDifficulty bandPriority & page
ac repair austinTransactionalHighMedium-HighP1: core service page
emergency ac repair austin txTransactionalMediumMediumP1: same page, secondary target
ac tune up near meTransactionalMediumLow-MediumP1: maintenance service page
how much does ac repair costCommercialHighMediumP2: cost guide with local pricing
best hvac companies in austinCommercialMediumHighP3: earn presence via reviews and citations
ac blowing warm airInformationalHighLow-MediumP2: troubleshooting guide, links to repair page
how often should hvac be servicedInformationalMediumLowP3: supporting article for tune-up cluster

Illustrative example only. Your deliverable contains real data for your market, with every priority decision explained, and each cluster feeds directly into a brief our content writing team or yours can execute.

Want this map built for your market, not a fictional one?

Get a Proposal

The gap analysis

Competitor Gap Analysis: Finding the Keywords They Win and You Don't

A competitor gap analysis overlays your keyword rankings with your competitors' rankings and splits the result into three zones: keywords only they hold, keywords you both contest, and keywords only you own. Each zone demands a different move. The first surprise is usually the competitor list itself: the domains outranking you are frequently not your offline rivals, but directories, national brands, or one aggressive local player you had not noticed.

Your gap

Keywords only competitors rank for

Every valuable cluster a competitor ranks for while you have no page targeting it. Buyers search, a competitor answers, and you never even appear as an option.

What we do with it: Becomes your new-page roadmap, prioritized by intent and value.

The overlap

Shared keywords, the battleground

Clusters where you and competitors both rank. Here the question is position: if they hold spot 3 with a stronger page and more referring domains, we quantify what closing that gap requires.

What we do with it: Becomes your optimization and link-building priority list.

Your moat

Keywords only you rank for

Clusters where you rank and competitors do not. They reveal which topics Google already trusts you on, the cheapest place to expand from.

What we do with it: Becomes your defend-and-expand plan: refresh, internally link, and build adjacent content.

When a competitor holds a position you need, we measure the referring domains, content depth, and page structure that put them there, so the plan to pass them is a budget and a timeline, not a hope. Where the gap is technical rather than topical, the findings route into our technical SEO service instead of a content brief.

What you receive

What's Included in Our Keyword Research & Competitor Analysis Service

The deliverable is a decision system, not a data dump. Every project includes the six components below, scoped to your site and market, and ends with a walkthrough call, because a roadmap that is not understood does not get executed.

Keyword universe and clusters

  • Full keyword dataset with volume and trend data
  • Keywords grouped into page-level clusters
  • Long-tail and question variants per cluster
  • Seasonality notes where demand swings

Intent and format classification

  • Intent label on every keyword, verified against live SERPs
  • Required page format per cluster
  • SERP feature notes: snippets, map packs, AI Overviews
  • Mixed-intent keywords flagged with guidance

Difficulty and opportunity scoring

  • Difficulty assessment per cluster, calibrated to your site
  • Quick wins separated from long-term targets
  • Page-two keywords surfaced from Search Console
  • Opportunity score combining demand, difficulty, and value

Competitor benchmark and gaps

  • True organic competitor identification
  • Authority and content depth benchmarks
  • Keyword and content gap reports
  • Backlink gap analysis for money clusters

Keyword-to-page map

  • Primary and secondary keywords assigned per URL
  • New pages specified with target clusters
  • Cannibalization conflicts identified and resolved
  • Internal linking recommendations between clusters

Prioritized roadmap and briefs

  • Ranked execution order with reasoning
  • Content briefs for priority pages
  • Benchmarks to measure progress against
  • Walkthrough call so nothing sits unread in a spreadsheet

How many keywords should your website target?

The honest answer is: fewer than most keyword lists suggest, because one strong page ranks for an entire cluster of related terms. The meaningful unit is clusters and pages, not raw keywords. Typical shapes by business model:

Typical keyword targeting scope by business type
Business profileTypical targeting shape
Local service business (single location)Typically a few dozen clusters: one per core service, plus location and cost or comparison clusters. Depth beats breadth.
Multi-location or franchiseCore service clusters multiplied across locations, governed by a template so pages do not cannibalize each other.
Ecommerce storeHundreds to thousands of keywords, but concentrated on category-level clusters first; product pages inherit long-tail demand.
SaaS or B2B companyFewer, harder clusters: feature, comparison, alternative, and use-case terms where one ranking can be worth an entire local site's traffic.

The stack

Keyword Research Tools We Use: Ahrefs, Semrush & Google's Own Data

We combine two commercial research platforms with Google's first-party data sources, then verify everything that matters by reading the actual results pages. Tools describe the market; the live SERP decides it.

Ahrefs

Our primary source for keyword difficulty context, referring-domain data, and the Content Gap and Link Intersect reports that expose what competitors rank for and which links power those rankings.

Semrush

Keyword Magic Tool for large-scale expansion, Keyword Gap for side-by-side competitor comparisons, and Position Tracking to benchmark visibility before and after the roadmap is executed.

Google Search Console

Google's own performance data for your site: queries you already earn impressions for, pages stuck in positions 11 to 20, and click-through rates that reveal intent mismatches. For existing sites, this is where the fastest wins come from.

Google Keyword Planner

Demand data straight from Google's ad system. We use it to sanity-check third-party volume estimates and to catch commercial terms that advertisers are actively bidding on, a strong signal of buying intent.

Google Trends and Autocomplete

Trends shows whether demand is growing, shrinking, or seasonal. Autocomplete and People Also Ask show how real people, including people in Austin specifically, phrase what they want.

Live SERP analysis

Tools supply numbers; analysts supply judgment. We manually read the ranking pages for every priority cluster to confirm intent, spot weak content, and assess how beatable each result actually is. No export replaces this step.

An honest note about tool data

No third-party tool has access to Google's internal ranking data, and volume figures are estimates that vary between platforms. Every number in our deliverable is therefore a directional signal to be confirmed against live SERPs and your own Search Console data, never a promise.

Pricing

How Much Do Keyword Research & Competitor Analysis Services Cost?

The cost of keyword research and competitor analysis depends on the depth of work your market and website require, which is why we quote after a free review instead of publishing one-size prices. Mapping a fifteen-page local site is a fundamentally different project from clustering an ecommerce catalog with four thousand URLs.

What moves the price up or down

  • Market and competition level: an Austin med spa and a national SaaS platform need very different research depth
  • Site size: mapping keywords to 15 URLs is a different job than mapping them to 4,000
  • Number of locations and service lines to cluster and map
  • Whether backlink gap analysis and content briefs are included in scope
  • One-time project or ongoing refresh inside a monthly SEO retainer

Two ways to buy it

As a standalone project, you receive the full roadmap and briefs to execute with any team. Inside our Complete Monthly SEO Service, the same research runs continuously: rankings, competitors, and new demand are re-checked every month and the roadmap evolves with the data. Most clients start with the project and roll into monthly.

How research is priced

Standalone research projects are custom quoted after a quick Zoom or Meet call, and the same research runs bundled inside the monthly SEO retainer. The price follows the scope: how many markets you compete in, how many competitors we map, and how deep the cluster analysis goes. You approve that scope, and the quote, before any research starts.

One framing we share with every prospect: research is the cheapest phase of SEO and the most expensive one to skip. It routinely saves multiples of itself in content that never needed to be written and links that never needed to be built.

Get an exact scope and quote for your website.

Book a Consultation

Build or buy

DIY Keyword Research vs Hiring an Agency: An Honest Comparison

You can do keyword research yourself, and for some situations you should. The real comparison is not about access to secret data; it is about tool costs, time, and the interpretive judgment that separates a keyword list from a keyword strategy.

Comparison of DIY keyword research versus agency keyword research across six dimensions
DimensionDIYWith Fivet Solutions
Tool accessProfessional keyword and competitor data platforms are a real recurring cost when bought for a single project.Included. We already license Ahrefs, Semrush, and supporting tools across client work.
Time investmentExpanding, intent-checking, and clustering thousands of keywords takes most owners multiple working weeks.Delivered on a defined timeline while you keep running the business.
Intent interpretationTool intent labels are frequently wrong, and misreading intent means building the wrong page format.Every priority cluster verified by an analyst against the live SERP.
Difficulty calibrationGeneric difficulty scores ignore your site's actual authority, so beginners chase impossible terms or skip winnable ones.Difficulty judged relative to your domain, your links, and your market.
Competitor selectionMost owners analyze their business rivals, who are often not the sites actually outranking them.Competitors identified from ranking data, which is the set that actually matters.
The outputUsually a large spreadsheet that never turns into pages.A prioritized roadmap with page mapping and briefs, built to be executed.

DIY research is genuinely fine for a hobby site or a first sanity check. The honest case for hiring an agency is not secret tools. It is that interpretation, clustering, and prioritization are where projects succeed or fail, and those are experience skills, not software features.

Red flags when hiring keyword research services

If you are comparing providers, including us, walk away from anyone showing these signs:

A raw tool export presented as the deliverable, with no clustering, mapping, or prioritization
Exact traffic or ranking promises attached to the research (no one can honestly promise a position)
No live SERP verification: intent labels taken straight from software
Competitor list copied from your own guess instead of pulled from ranking data
No keyword-to-page mapping, leaving your team to figure out where anything goes
Hundreds of zero-volume or irrelevant keywords padding the list to look impressive
No plan for what happens after delivery, and no offer to walk you through the findings

From map to rankings

What Happens After the Research: How Findings Become Rankings

Research only earns its cost when executed, so every finding in the roadmap is written as an instruction for a specific downstream service. Nothing is left as an observation without an owner.

Content writing

Every priority cluster becomes a content brief: target keyword, intent, entities to cover, questions to answer, and internal links. Writers stop guessing what to write and start executing a map.

SEO content writing

On-page SEO

The keyword-to-page map drives title tags, headings, and internal anchor text for every existing URL, and resolves cannibalization by giving each page one clear target.

On-page SEO service

Link building

Backlink gap data tells us how many referring domains separate your page from the ones ranking, so authority building targets the clusters where links change the outcome.

Off-page SEO and backlinks

Local SEO

Local clusters feed Google Business Profile categories, service and location pages, and citation targets, so your local visibility is built on real Austin search demand.

Local SEO service

Keyword research by business type: local, ecommerce, and SaaS

The method is constant; the emphasis changes with the business model. For local companies searching for an SEO agency in Austin, the geographic layer dominates. For stores and software companies, architecture and intent economics take over.

Local businesses in Austin and beyond

Local keyword research adds a geographic layer: implicit local intent (plumber, urgent care), explicit modifiers (in austin, near me, 78704), and neighborhood-level demand from Round Rock to South Congress. The map pack is researched separately, because it responds to different signals than organic rankings.

  • Service-in-city clusters per revenue line
  • Near-me and neighborhood variants
  • Map pack competitor benchmarking
  • Google Business Profile category research

Ecommerce stores

Ecommerce research is a scale problem: the win is usually at the category level, where commercial keywords concentrate, while product pages inherit long-tail demand. We cluster by purchase intent so category, subcategory, and product pages never compete with each other.

  • Category-first keyword architecture
  • Buying-modifier research (best, cheap, for, vs)
  • Competitor category coverage gaps
  • Cannibalization control across the catalog

SaaS and B2B companies

SaaS keyword research targets fewer, harder, more valuable terms: category keywords, competitor-alternative searches, integration and use-case queries, and the problem language buyers use before they know a product category exists. One well-won comparison page can outproduce a year of blogging.

  • Category and feature-term clusters
  • Alternatives and vs-competitor research
  • Use-case and integration demand
  • Problem-language discovery for top of funnel

Key Takeaways

  • Keyword research and competitor analysis decide what gets built before any content or links are paid for: the highest-leverage step in SEO.
  • Search intent determines page format: informational, commercial, transactional, and navigational keywords each need different pages to rank.
  • Difficulty scores only matter relative to your site; opportunity is found where demand, winnability, and business value overlap.
  • Your true competitors are the domains ranking for your money keywords, not necessarily the businesses you compete with offline.
  • The deliverable that matters is a prioritized keyword-to-page roadmap, not a spreadsheet of raw keywords.
  • Research is not one-and-done: rankings, competitors, and search behavior shift, so priority clusters should be revisited regularly.

FAQ

Keyword Research & Competitor Analysis, Answered

What is keyword research and competitor analysis?

Keyword research and competitor analysis is the process of identifying the search terms your customers actually use, classifying each by intent, volume, and ranking difficulty, and reverse-engineering the sites currently ranking for them. The output is a prioritized keyword-to-page roadmap defining which pages to build or optimize, in what format and order, before any budget is spent on content or links.

Why is keyword research important for SEO?

Because every downstream SEO activity inherits its targets from research. Content written for keywords nobody searches produces nothing. Pages built for keywords that are too competitive stall for years. Research grounds the whole campaign in real demand, realistic difficulty, and commercial value, which is why we run it before content, on-page work, or link building begins.

What is search intent and why does it matter?

Search intent is the goal behind a query: to learn (informational), to compare (commercial), to act (transactional), or to reach a known site (navigational). Google ranks pages matching the dominant intent of each keyword, so a blog post aimed at a transactional term usually fails regardless of quality. We classify intent by reading live results, not tool labels.

What is keyword difficulty and how do you measure it?

Keyword difficulty estimates how hard it is to reach the first page for a term. Tool scores are a starting point, but we calibrate against the specific SERP: the authority and backlinks of ranking pages, their content depth, SERP feature crowding, and brand lock-in. Difficulty is always judged relative to your site, not in the abstract.

How many keywords should my website target?

It depends on your model. A single-location Austin service business usually needs a few dozen well-chosen clusters. An ecommerce store may target hundreds concentrated at category level. A SaaS company may focus on a small set of very valuable comparison and category terms. Because one page ranks for a whole cluster of related terms, the meaningful count is clusters and pages, not raw keywords.

How much do keyword research and competitor analysis services cost?

Cost depends on market competitiveness, site size, number of service lines and locations, and whether backlink gap analysis and content briefs are in scope. Fivet Solutions quotes after a free review of your website and market rather than forcing every business into one package, so the price reflects the research your situation actually requires. The same research is also included within our monthly SEO retainers.

How long does a keyword research and competitor analysis project take?

A focused project for a local or small business typically takes one to two weeks from kickoff to the roadmap walkthrough. Larger sites, multi-location businesses, and ecommerce catalogs take longer because clustering and page mapping scale with the number of URLs and markets. We confirm a delivery date in the proposal before work starts.

Is keyword research a one-time project or ongoing?

Both are valid. A one-time project produces the roadmap and is a strong starting point for teams that execute in-house. Ongoing research, usually inside our Complete Monthly SEO service, re-checks rankings, competitor movements, and new search demand each month, because SERPs shift, competitors publish, and buyer language changes. Most clients start with the project and continue monthly.

How do you identify who my real competitors are?

We pull the domains that actually rank for your most valuable keyword clusters, which are often not your offline rivals. A local Austin clinic may find its true competitors are a national directory, a hospital system, and one aggressive local practice. Knowing exactly who holds the positions you want, and with what authority, is what makes the gap analysis honest.

What is keyword cannibalization and how do you prevent it?

Cannibalization happens when two or more of your pages target the same keyword and intent, splitting signals and often causing Google to rank neither well. Our keyword-to-page map prevents it by assigning every cluster to exactly one URL and defining each page's primary and secondary targets, so your site's authority concentrates instead of competing with itself.

Can I just use ChatGPT or a free tool for keyword research?

Free tools and AI assistants are useful for brainstorming seed terms, and we would never pretend otherwise. What they cannot do is supply reliable volume and link data, verify intent against live SERPs, calibrate difficulty to your specific site, or map clusters to your URL structure. Those judgment layers are where rankings are actually won, and they are the substance of the service.

Do you do local keyword research for Austin businesses?

Yes. Fivet Solutions is based in Austin, TX, and local research is a core part of our work: service-in-city clusters, near-me and neighborhood variants, map pack competitor benchmarking, and Google Business Profile category research. The same process applies to any city, but for Austin businesses we also bring firsthand knowledge of the local market and its search landscape.

Stop Guessing Which Keywords Deserve Your Budget

Before your next article is commissioned or your next link is built, you should be able to answer three questions:

Which searches actually drive our revenue?
Which of them can we realistically win?
Which page wins each one, in what order?

Our keyword research and competitor analysis service delivers a documented, prioritized answer to all three, built from your market's real data by an Austin team reading SERPs since 2017.

Ready to see your keyword map?

Book a free consultation and we will show you the clusters your competitors are winning right now.