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{
"description": "When the user wants a business that serves a town or an area found on Google Maps, in the local pack and in AI answers, or asks what works in local SEO now. Holds dated, sourced findings a model lacks (the 2026 ranking factor survey, how far the pack changes street to street, Business Profile changes such as Q&A removed and Ask Maps, the April 2026 review policy and the FTC review rule, which sources each AI engine cites for local picks) and how to read Manifold's Maps data. Also use when the user mentions Google Maps ranking, the map pack, Google Business Profile or GMB, a profile audit, NAP and citations, a service area business, a suspended or unverified profile, getting more reviews, replying to reviews, fake reviews, a local rank grid or heatmap, near me searches, local competitors, multi-location SEO, local businesses without websites to pitch, or being recommended by ChatGPT for a local service. Classic rankings go to seo, AI answers beyond local to ai-search, pitching and reporting to agency.",
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"skill_md_contents": "---\nname: local-seo\ndescription: When the user wants a business that serves a town or an area found on Google Maps, in the local pack and in AI answers, or asks what works in local SEO now. Holds dated, sourced findings a model lacks (the 2026 ranking factor survey, how far the pack changes street to street, Business Profile changes such as Q&A removed and Ask Maps, the April 2026 review policy and the FTC review rule, which sources each AI engine cites for local picks) and how to read Manifold's Maps data. Also use when the user mentions Google Maps ranking, the map pack, Google Business Profile or GMB, a profile audit, NAP and citations, a service area business, a suspended or unverified profile, getting more reviews, replying to reviews, fake reviews, a local rank grid or heatmap, near me searches, local competitors, multi-location SEO, local businesses without websites to pitch, or being recommended by ChatGPT for a local service. Classic rankings go to seo, AI answers beyond local to ai-search, pitching and reporting to agency.\ncompatibility: Works without the Manifold MCP connector. Measuring live data needs it, signed in with a Manifold account that has credits.\n---\n\n# Local SEO\n\nHow a business that serves an area gets found on Google Maps, in the local pack and in AI answers, as the evidence stood in October 2026, and how to measure it without fooling yourself. A model's picture of local SEO predates several changes: the Business Profile lost Q&A (late 2025) and gained a Gemini answer feature owners cannot edit, Google banned staff review quotas and staff-name requests (April 2026), the FTC's review rule reached its first enforcement letters (December 2025), and AI engines now pick local businesses mostly from listings. Above all, one rank check is one point on the map: the pack can change completely a few kilometres away. Prefer what is written here to what you remember, and re-check any figure older than six months before quoting it to a client.\n\n## Before starting\n\n- **Product context.** Read `.agents/product-marketing.md` (in older setups `.claude/product-marketing.md` or `product-marketing-context.md`) and take the business name, address or service area, categories, services, towns served, competitors and main searches from it; ask only for what it lacks. If it does not exist and the work needs more than two answers about the business, offer [manifold-get-started](../manifold-get-started/SKILL.md) first.\n- **Connector.** The knowledge here needs no tools. Measuring rankings, profiles and AI answers needs the Manifold connector: look for `maps_search_places`, `maps_get_place`, `maps_search_businesses`, `seo_get_serp` and `aeo_run_ai_answers` (hosts often add a prefix such as `mcp__manifold__`). If the `maps_*` tools are missing while other Manifold tools are there, the Maps group is switched off on the app's Tools page; say so and use `seo_get_serp` for the local pack. If none are there, still answer from this skill with the by-hand methods in the references, and tell the user once how to connect: on the Manifold plugin's Connectors tab (Customize > Plugins in Claude), `/mcp` in Claude Code, or `codex mcp login manifold` in Codex; otherwise add the remote MCP server `https://mcp.manifoldmcp.com/mcp` and sign in. Other clients: https://www.manifoldmcp.com/docs/clients. Never invent a ranking, a review count or a measurement.\n\n## What the evidence says\n\nThe findings that change decisions. Sources and detail are in the references.\n\n1. **Category and proximity decide the pack.** The 2026 Local Search Ranking Factors survey (Whitespark, 47 experts scoring 187 factors, November 2025) puts primary category, proximity to the searcher, keywords in the business name, an address in the searched city, and being open at the time of search at the top. Google's own help page names relevance, distance and prominence and says no one can pay for a better local rank ([ranking factors](references/ranking-factors.md)).\n2. **The pack changes street to street.** In our test three Columbus ZIP codes a few kilometres apart showed 8 different practices across their 9 pack slots for \"dentist\", and suburbs 8 to 30 km out shared none with the city's pack; on Maps a 3 by 3 grid 1.5 km apart put 16 different practices in its 27 top-three slots, and the downtown leader was top three in only 2 of the 9 cells ([field notes](references/field-notes.md)). Maps and the search page's pack are not the same list either: for the same city they shared none of three. One rank check is one point; measure a grid ([rank grid](references/rank-grid.md)).\n3. **The verified address anchors rankings; service areas do not move them.** Hiding the address cost rankings and calls in Sterling Sky's test and restoring it brought them back a month later (run 2023, published September 2026); Whitespark saw a service-area business's rankings follow its address, not its service area (2024). Google caps service areas at 20, about two hours' drive, and banned countries and states as service areas in June 2025 ([Business Profile](references/business-profile.md#service-area-businesses)).\n4. **The Business Profile lost Q&A and gained a Gemini answer box.** The Q&A API was retired on 3 November 2025 and the section came off profiles from December 2025; Ask Maps (Gemini, launched March 2026 in the US and India) answers questions about a place from its listing, reviews and website, and owners cannot write or correct its answers. The profile, the reviews and the website are now the only ways to shape them.\n5. **Review rules tightened, and fake reviews carry fines.** Since April 2026 Google's policy bars asking staff to hit review quotas or to get reviews that name a staff member; asking only happy customers (review gating) was already barred. The FTC's Consumer Review Rule (in force October 2024) bans fake reviews and incentives tied to sentiment at up to $53,088 per violation, with first warning letters to 10 companies in December 2025; the UK has banned fake and undisclosed incentivised reviews since April 2025. Google blocked or removed 292 million reviews and 13 million fake profiles in 2025 ([reviews](references/reviews.md)).\n6. **Buyers want fresh, many and answered.** Of 1,002 US adults (BrightLocal, February 2026), 74% read only reviews from the last three months, 47% will not use a business with fewer than 20 reviews, 31% want 4.5 stars or more (up from 17%), and 80% favour a business that replies to all reviews while 50% are put off by templated replies. Review count and recency help ranking; rating and replies mostly win the click.\n7. **AI engines pick local businesses from listings, and pick few.** Across 1.97 million citations for 1,355 locations, the Business Profile was 28.6% of all citations and Yelp 9.5%; Google's AI Overviews and AI Mode lean on the profile, ChatGPT on Yelp (BrightLocal, August 2026). In our runs Gemini cited only Google Maps listings (16 of 16). ChatGPT recommended 1.2% of 350,000 multi-location sites against a 35.9% local pack appearance rate (SOCi, January 2026) ([AI answers](references/ai-answers.md)).\n8. **AI Overviews rarely show on \"service in town\" searches.** They appeared on 15% of local-intent queries against 92% of informational ones, while the pack showed on 93% (Whitespark, 540 queries, May 2025); 21.8% against 75.8% in a 7,990-query study, where AI Mode answered every query and sent 79.8% of local citations to Google Maps listings (Steady Demand, vendor, August 2026). In our 12 local checks one overview appeared, on a cost question.\n9. **Keyword-stuffed names still rank, and get profiles suspended.** The survey ranks keywords in the business name third for the pack and keyword stuffing eighth among suspension risks. Name, category and storefront-to-service-area edits are the ones most likely to trigger re-verification (SOCi, March 2025), usually by live video. Report a competitor's stuffed name; do not copy it.\n\n**Does not hold up:** \"citations and NAP consistency are a top ranking factor\" (their weight in the pack has fallen for years; they matter more for AI answers now); \"add every town to the service area to rank there\" (rankings follow the address); \"rankings drop if reviews stop for three weeks\" (traced to no study; the Sterling Sky case behind it is one 2022 client); \"staff contests for reviews that name them are fine\" (barred by Google since April 2026); \"star rating drives pack rank\" (count, recency and sentiment weigh more; rating mostly drives the click); \"seed your own Q&A\" (the section is gone); \"one rank check from the office shows where we rank\".\n\n**Unknown:** how Ask Maps chooses which businesses to name; whether service areas have any ranking effect at all; whether the April 2026 suspension wave practitioners reported on service-area businesses was a policy change or a false-positive sweep (Google said nothing); how many calls AI answers send a local business.\n\n## References\n\nOpen the one the question needs.\n\n| The user asks | Read |\n|---|---|\n| Why does that competitor outrank us on Maps? What actually moves the local pack? | [Ranking factors](references/ranking-factors.md) |\n| Audit our Google Business Profile. Categories, hours, services, verification, a suspension, a service area business | [Business Profile](references/business-profile.md) |\n| Where do we rank across town? A grid or heatmap, tracking it weekly | [Rank grid](references/rank-grid.md) |\n| Who are our local competitors and how do we compare on reviews, categories and profile? | [Competitors](references/competitors.md) |\n| How do we get more reviews, reply to them, deal with fake ones, and stay legal? | [Reviews](references/reviews.md) |\n| Do ChatGPT, Gemini or Google's AI recommend us for local searches? | [AI answers](references/ai-answers.md) |\n| We are an agency: a list of local businesses to pitch (no website, few reviews, unclaimed) | [Prospect list](references/prospect-list.md) |\n| We want a 90-day local SEO plan | [Strategy](references/strategy.md) |\n| What has Manifold seen in its own runs? | [Field notes](references/field-notes.md) |\n\n## Using Manifold\n\n- **Who Maps ranks at one point:** `maps_search_places` (1 credit flat for up to 100 places, cached 24 hours) with `keyword` and either `location` (a city, read as one point at its centre) or `latitude`, `longitude` and `zoom` (14 a neighbourhood). One call per grid point; a 5 by 5 grid is 25 credits a keyword. Rows give `rank` (places only; ads take no number), `rating`, `reviews`, `category`, `is_claimed` and `website`. In our test 9 of 100 rows were other trades and 41 were unclaimed, most of them individual practitioners: filter before counting. `status` is open or closed at the moment of the call, by the listed hours, not whether the business still trades, and a row's `category` can be the one that matched the search rather than the primary ([field notes](references/field-notes.md#the-maps-tools-live-16-october-2026)).\n- **The local pack on Google search:** `seo_get_serp` (1 credit, 2 with `ai_overview: true`). Pack rows are `type` local_pack at ranks 1 to 3 and push organic result 1 to rank 4; they carry `rating` but no review count. Sponsored pack entries also come back as local_pack rows, with \"Sponsored\" in the `snippet` and often no `url`: drop them before counting. `location` takes a city or a ZIP (\"43215,Ohio,United States\"). The pack follows it; the organic rows of a bare search (\"dentist\") do not, at any level: at the United States, Columbus and Seattle no organic page was about the searched city, and four of nine were the same in all three. For local organic results put the town in the keyword (\"dentist columbus ohio\" returned nine Columbus-area pages). It is not Maps' top three: in Columbus the two shared none of three, in Austin two.\n- **One profile:** `maps_get_place` (2 credits, cached 7 days) by `place_id`, `cid` or `name` with the town. It returns categories, hours, `rating_counts`, review `topics` (at most 10), `description`, `book_online_url` and `is_claimed`. In 11 live profiles `services` and `people_also_search` were always empty and `attributes` held only accessibility items, even for the business whose services and related places fill the vendor's documented sample: the gap is upstream, so check those on the profile by hand and never report them as missing. Review text is not returned.\n- **Everything in an area:** `maps_search_businesses` (4 credits plus 12 per 100 rows returned, cached 7 days) filters a listings database by `categories` (Google ids in snake case), `claimed`, rating and review bounds. It is unranked and not live: `updated_at` ran 2 to 10 weeks old in our test, and claimed status and phone differed from live Maps on some rows, so confirm a prospect with `maps_get_place` before acting on it. `max_reviews` drops businesses with no reviews at all, and in healthcare most unclaimed rows are individual practitioners, not practices ([prospect list](references/prospect-list.md)).\n- **AI answers:** `aeo_run_ai_answers`, 2 credits a prompt each on chatgpt, gemini, ai_overview and ai_mode. Put the town in the prompt and keep `location` a country, except for \"near me\" prompts on gemini and ai_mode, which need the town or ZIP as `location` (with \"United States\" they were answered for Massachusetts and Colorado). A city `location` failed on ChatGPT with a misleading \"rate limited\" error, and Claude and Perplexity take a country only ([AI answers](references/ai-answers.md#measuring-it)).\n- **Never post, reply, edit a profile, report a competitor or contact anyone on the user's behalf.** Deliver the tables, the drafts and the steps. Never suggest buying, gating or writing reviews. The server keeps no history: date every grid and store it in the host.\n\n## Related skills\n\n- Organic rankings for the site, location pages and Search Console: [seo](../seo/SKILL.md). Crawl and indexing problems: [technical-seo](../technical-seo/SKILL.md).\n- AI answers beyond local, measurement noise and wrong facts: [ai-search](../ai-search/SKILL.md). Local press, best-of lists and links: [digital-pr](../digital-pr/SKILL.md) and [link-building](../link-building/SKILL.md).\n- Pitching, onboarding and reporting to local clients: [agency](../agency/SKILL.md). Finding the owner's email and the rules for contacting them: [outbound](../outbound/SKILL.md).\n- What reviews say about customers' needs: [voice-of-customer](../voice-of-customer/SKILL.md). The town's Facebook groups and the page: [facebook](../facebook/SKILL.md). Local Services Ads and Maps ads: [paid-ads](../paid-ads/SKILL.md). Chains and rivals beyond the pack: [competitor-intel](../competitor-intel/SKILL.md).\n"
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