Pixel the SEO CatAI assistant · typically instant
Near-me demand now resolves in two places: the map pack and AI recommendations that name specific providers. One entity-discipline program feeds both.
Six workstreams, one senior team, every hour logged.
Categories, services, attributes, posts, photos, and Q&A run with homepage-level discipline, weekly.
One canonical record deployed character-for-character across the top directories, then the long tail, then re-audited quarterly.
Prompts engineered so reviews contain services, suburbs, and outcomes in sentences both algorithms quote.
Service-area pages with genuinely local proof, not city-name swaps, structured for the local answer box.
Geo, hours, service catalog, and reviews marked up and connected to one Organization entity.
Grid-based map rankings plus monthly prompt tests for the near-me questions AI now answers with names.
Every service on this site bills at the same senior-specialist rate. No packages, no retainers, no lock-ins: you approve a written hour estimate before we start.
Home services
A three-van plumber invisible past its own street ran the full entity program. Ninety days later it held map pack positions in five suburbs and was the named recommendation in two assistant answers.
More case studiessuburbs in the pack
calls from maps
AI answers won
Everything worth knowing before you buy, in full.
For near-me and local-intent searches, your Google Business Profile receives more impressions than your website, and in many local queries it is the entire result the buyer sees. That inverts the usual priorities: the profile is no longer a directory listing to set and forget, it is the primary storefront, and it should be run with the discipline you would give a homepage. The map pack algorithm reads completeness and activity as proxies for reliability, so precise categories, fully populated services and attributes, weekly posts, fresh photos, and answered questions are ranking inputs rather than cosmetic niceties. Most competitors treat the profile as an afterthought, which is exactly why disciplined profile management is one of the highest-return activities in all of local search. The businesses that win their map pack are almost always the ones that treat the profile as a living asset rather than a form they filled out once.
Roughly half the local audits we run surface the same quiet defect: the website, the profile, and the directories describe the business in three subtly different ways. A suite number here, an abbreviated street there, an old phone number somewhere else, and the entity fragments in the eyes of both search engines and the AI assistants that now recommend local providers. Both systems hedge when entity data conflicts, and the fix is pure discipline rather than cleverness: one canonical name, address, and phone record, owned by one person, deployed verbatim across the top directories first and the long tail after, then re-audited quarterly because directories drift on their own. It is unglamorous work that rarely makes a case study, and it is also the single most common reason a business that should rank in the pack does not. Consistency, not volume, is the moat.
A five-star rating with no text is nearly worthless to the systems that now shape local visibility. Both Google and the AI assistants that answer best-in-town questions quote the actual text of reviews, pulling services, locations, and outcomes directly from what customers wrote. That means a review generation program should be engineered to produce sentences, not just stars: prompts that nudge customers to mention the specific service they bought, the suburb they are in, and the result they got, so the review contains extractable, quotable substance. This is where local SEO and the newer AI recommendation layer converge, because the same substantive reviews that lift your map pack ranking are the ones an assistant lifts when it recommends a provider by name. Volume still matters, but a hundred bare-star reviews lose to thirty reviews that read like real, specific testimonials.
Ask an assistant for the best plumber, dentist, or contractor in a specific suburb and it now answers with names, addresses, and phone numbers, assembled from profiles, reviews, and consistent entity data across the web. This is not a separate channel requiring a separate program; it is the same entity discipline that wins the map pack, feeding a new surface. Complete profiles, substantive reviews, identical NAP, and LocalBusiness schema with geo, hours, and services all serve both the classic pack and the AI recommendation layer at once. We prompt-test your own near-me queries monthly so you can see exactly where you stand in the assistant answers, and we treat any gap as a signal to strengthen the underlying entity signals rather than as a separate project. One well-run local program now defends two surfaces that used to require entirely different thinking.
A local engagement runs profile optimization, citation and NAP cleanup, a review generation system, location page builds with genuinely local proof rather than city-name swaps, LocalBusiness schema, and combined map-plus-AI tracking. The work is front-loaded, a burst of cleanup and setup, and then maintained, which is exactly why hourly against a written estimate fits it better than a flat retainer that charges the same whether the month is heavy or light. Movement in the pack typically shows within four to eight weeks for profile and citation work, faster in less competitive metros, with review velocity usually the deciding lever. Multi-location businesses scale the same discipline with per-location profiles, pages, and tracking grids. You approve the hours, you see them logged, and in a small town the return is often faster than in a city because there is less competition and the AI assistants still need someone local to recommend.
“Technical debt from three migrations, cleaned up with surgical changelists our devs could merge same day.”
“AEO was a buzzword to our board until the before and after answer-box report. Now it is a budget line.”
“We rank, we get cited by Gemini, and I understand every invoice. That combination did not exist before them.”
Twelve straight answers before you ever get on a call.
Profile and citation fixes show movement in 4 to 8 weeks; competitive metros take longer. Review velocity is usually the deciding lever.
Yes, with per-location profiles, pages, and tracking grids. The entity discipline scales; the local proof stays local.
We manage the flagging process and the response strategy. Removal is Google's call, but properly documented flags succeed more often than people expect.
Yes. SABs have their own profile rules, and we configure radius, hidden address, and service listings to match them exactly.
Included in the citation layer. They feed both their own users and several AI assistants, so they stopped being optional.
Usually more so: less competition, faster wins, and AI assistants still need someone to recommend there.
Every service bills at the same senior rate. You approve a written hour estimate before any work starts, and every invoice ships with a task-level time log. No packages, no minimum retainers, no lock-in contracts.
Senior specialists with 8 or more years in search, supported by our AI search research team. We never hand delivery to juniors or outsource it; the person on your kickoff call is the person in your account.
Most engagements kick off within 2 business days of an approved estimate. Urgent fixes, penalties, migrations, or launch deadlines, can start same-day on request.
Yes. We serve the US, UK, Australia, and the Middle East daily, with overlapping working hours and reporting aligned to your time zone.
A monthly report your leadership can actually read: rankings, answer-box and AI citation coverage, work completed with hours, and the plan for the next cycle. Dashboards on request.
Yes. Because billing is hourly against approved estimates, there is nothing to cancel. Finish the current approved scope, or pause it, and you owe nothing further.
Practitioner guides related to this service.
For near-me intent, the profile gets more impressions than your site. Treat it with homepage-level discipline.
Name, address, phone, and categories must match everywhere, character for character. Mismatch is the quiet killer.
AI assistants now name specific local providers with addresses and phone numbers. The signals overlap heavily with map pack work.
Tell us the goal. We reply within one business day with a plan and a written hour estimate at $45/hr.
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