Find the exact words
your customers search for.

Local keyword research identifies the specific terms people in your area use to find businesses like yours — including near-me queries, neighbourhood names, service variants, and the voice search patterns feeding AI Overviews. Without this data, every other SEO effort targets the wrong words.

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Quick Answer - Optimised for AI Search

Local keyword research is the process of identifying the specific search terms people in a geographic area use to find local businesses and services. It covers service + location combinations ("plumber in Shoreditch"), near-me queries ("dentist near me"), neighbourhood-level terms, and voice search patterns. Local keyword data determines which terms your Google Business Profile, website content, and landing pages should target to attract high-intent nearby customers.

46%
Of all Google searches have local intent -- users looking for services or businesses nearby
76%
Of near-me searches result in a store or service visit within 24 hours (Google data)
28%
Of local searches result in a purchase -- among the highest conversion rates in search

Local keyword research is what separates effective local SEO from wasted effort. Without knowing precisely what your customers search for -- including the specific neighbourhood names, service descriptors, and question formats they use -- you end up optimising your website and GBP for terms that nobody actually searches, or for terms your competitors have already dominated.

Local search behaviour is distinct from national or global search. Someone looking for a plumber does not search "professional plumbing contractor services" -- they search "plumber Hackney" or "emergency plumber near me open now." Understanding these patterns at the local level, including postcode-level demand differences and seasonal variations, is the foundation of every other local SEO decision you make.

Voice search has added another dimension. Queries asked to Siri, Google Assistant, and Alexa are typically longer, more conversational, and more immediately transactional: "Who is the best Thai restaurant near me right now?" These queries now feed directly into AI Overviews and AI-generated local recommendations. Identifying and targeting them is part of any modern local keyword strategy.

Our local keyword research goes beyond volume data. We segment keywords by intent (informational vs. transactional), map them to the specific GBP categories and website pages they should influence, and prioritise them by competitive difficulty in your exact market -- not a national average that does not reflect what you are actually competing against.

How We Find Your Local Keywords.

Our research combines search volume data, competitor analysis, and local intent mapping to produce a keyword list that drives real local traffic.

01

Seed Keyword Discovery

We identify your core services and map them to the language your customers actually use -- including common misspellings, service variants, and colloquial terms.

02

Location Layer Mapping

We expand every seed keyword with every relevant location modifier -- city, borough, neighbourhood, postcode area, and near-me variants -- then filter by local search volume.

03

Competitor Keyword Gap

We identify which keywords your top 3 competitors rank for that you do not -- these represent the fastest ranking opportunities in your market.

04

Intent Segmentation

We separate informational keywords (best, how to, what is) from transactional keywords (cost, near me, hire, book) so each page targets the right stage of the customer journey.

05

Voice Search & AI Query Mapping

We identify the conversational question formats used in voice search that now feed AI Overviews -- these are distinct from typed queries and require different content strategy.

06

Prioritised Keyword Map

Every keyword is assigned to a specific page -- GBP, homepage, service page, or location landing page -- with a clear priority order based on traffic potential vs. difficulty.

What the Keyword Research Delivers.

🔎
Full Keyword List
Complete list of local keywords with monthly search volume, competition score, and current ranking position.
🗺️
Location-Layer Coverage
Keywords segmented by city, district, neighbourhood, and near-me variants for your specific service area.
📊
Competitor Gap Analysis
Keywords your top competitors rank for that you are missing -- the fastest-opportunity targets.
🎯
Intent Mapping
Every keyword labelled by intent -- informational, navigational, or transactional -- for accurate content planning.
🎤
Voice Search Queries
Conversational question-format keywords used in voice search that feed AI Overviews and local AI recommendations.
📋
Page Assignment Map
Every keyword assigned to a specific page -- GBP, homepage, service page, or location landing page.
📈
Priority Scoring
Keywords ranked by opportunity score -- traffic potential weighted against current ranking difficulty in your market.
🔄
Quarterly Refresh
Local keyword demand shifts seasonally. We refresh the research quarterly to keep your targeting current.

Signs Your Keyword Strategy Needs Fixing.

These are the most common indicators that your current local SEO is targeting the wrong terms.

⚠️
Your website ranks for broad terms but does not generate local calls or enquiries
⚠️
You are targeting generic service keywords without location modifiers
⚠️
You are not appearing in near-me searches despite being geographically close to searchers
⚠️
Your GBP and website use different terminology for the same services
⚠️
You have no content targeting the specific neighbourhoods you serve
⚠️
You are not appearing in AI-generated local business recommendations

How Keyword Research Feeds Every Other SEO Decision.

Local keyword research is the strategic foundation. Every deliverable is designed to be immediately actionable across your GBP, website, and content.

Week 1
Research Complete
Full keyword list, competitor gap report, and intent map delivered in a clear spreadsheet with priority scores.
Week 2-4
Implementation
Keywords mapped to GBP fields, website pages updated, and content brief produced for new location pages.
Month 2-4
Ranking Movement
Search rankings begin improving for targeted terms as Google re-indexes updated content and GBP signals.

3 Local Keyword Mistakes That Kill Rankings.

These mistakes mean businesses spend money on SEO but target terms that do not convert local customers.

01
Targeting National Volume Only
A keyword with 10,000 monthly national searches may have zero local volume in your city. We research local volume specifically, not national averages that do not reflect your actual market.
02
Ignoring Neighbourhood-Level Terms
Searchers in London do not just search "plumber London" -- they search "plumber Clapham" or "plumber SW4." Neighbourhood-level keywords are less competitive and convert at higher rates.
03
Missing Voice Search Patterns
Voice queries like "Who are the best electricians near me open now" have different structure, different intent, and different landing page requirements than typed queries. Both need to be in your strategy.

Common Questions
About This Service.

Cant find your question? We answer everything in detail on our full FAQ page.

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Standard keyword research focuses on national or global search volume and competition. Local keyword research adds geographic layers -- city, neighbourhood, near-me variants -- and filters for local intent signals. It also includes voice search patterns and the conversational query formats that feed AI search tools.
Typically 150 to 400 keywords depending on the size of your service area and how many services you offer. We prioritise these into three tiers so you know exactly where to focus first.
Quarterly. Local search demand shifts with seasonality, new competitor entries, and algorithm updates. We include a quarterly refresh in ongoing SEO campaigns to keep your targeting current.
Yes. We specifically identify the question-format and conversational query patterns used in voice search and AI tools like ChatGPT and Google AI Overviews. These require different content formats and are increasingly important for AI search visibility.

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