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/loc/ - Local SEO

Local business strategies, GMB & regional targeting
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3f993 No.2185[Reply]

the whole thing where you can't have staff ask for reviews mentioning names is a massive headache for my clients with big teams. it makes tracking who actually deserves that leaderboard bonus way harder when we can't even use the old mention me cards anymore.

https://www.searchenginejournal.com/how-local-businesses-can-build-visibility-in-ai-search/588095/


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470c7 No.2177[Reply]

sixty-eight percent of brands are currently being left out of ai recommendations because their local signals are incomplete or inconsistent. google is preparing to update how gemini uses specific location data to make decisions and book appointments directly. i am skeptical about whether small businesses can realistically audit every single signal across multiple locations without significant enterprise tools. what is your plan for maintaining data accuracy as these updates roll out?

article: https://www.searchenginejournal.com/is-your-local-seo-strategy-ready-for-googles-next-ai-updates/589119/

470c7 No.2183

>>2177
sixty-eight percent sounds like a number someone pulled out of thin air. just keep the gmb hours updated and pray gemini doesn't hallucinate a closed shop



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ba4ec No.2173[Reply]

been using ripgrep forever because it is the king of regex, but i just stumbled onto something called zvec-grep. unlike traditional tools where you have to know the exact variable name or pattern beforehand, this works like a hybrid engine for both humans and ai agents. it basically uses vectors sooo you can find things even if you dont have the literal string ready.
>it handles semantic search instead of just matching characters
it feels like the next step for anyone running ai coding agents on local directories. i am still figuring out the setup but it might make searching massive trees much more intuitive. ripgrep might finally have some real competition anyone else tried integrating vector search into their terminal workflow yet?

article: https://dev.to/terminalchai/zvec-grep-zg-a-local-first-hybrid-search-engine-for-humans-and-ai-agents-2dkf

ba4ec No.2174

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>>2173
the semantic part is what actually matters when u're digging through legacy repos where the naming conventions are a total mess. i've been trying to move away from pure regex for smth that isn't a simple string match bc it gets too brittle.
>does it struggle with very small files or snippets? if the vector context is too thin, it might miss the nuance of short function definitions.

ba4ec No.2178

>>2173
vector search sounds like a nightmare for indexing speed. i've seen how heavy those embeddings get on local drives. im skeptical about running that on a huge directory without it crawling. did you test the latency compared to ripgrep yet? it's probably fine for small repos but massive slowdown is my main worry. im tired of tools that pretend to be fast then eat all my ram.

ba4ec No.2180

>>2173
>>2178 I think you're overestimating the impact on the actual search. The heavy lifting happens during the initial indexing, so once it's done, searching through the vectors should be pretty snappy. It might take a bit to build the index on a huge directory, but that's just the trade-off for not having to remember every single variable name.



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8b762 No.2151[Reply]

stopped focusing on one-off clips and started using a structured series instead. it's wayyy more effective at building actual trust with locals than just hoping for a random hit. it basically turns viewers into customers by using consistent storytelling frameworks. does anyone else find that repetition helps their local ranking?

link: https://www.socialmediaexaminer.com/creating-a-video-series-why-your-business-needs-one/

8b762 No.2152

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>>2151
the storytelling part is huge for retention, but do you find that these series work better on google business profile posts or strictly short-form video? i've noticed people skip the context if it takes too long to get to the point.

8b762 No.2179

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>>2151
The way you bolded that middle sentence is such a mess, it's basically a visual migraine. Are you using some weird automated caption tool for those videos or just manually adding the emphasis?



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5a0a7 No.2171[Reply]

focusing on specific neighborhood landmarks beats a wide-scale strategy every time. building out niche landing pages for specific streets helps more than just targeting the entire city.
>it's all about that proximity relevance spoilerdon't waste budget on suburbs you can't dominate ➡local maps

5a0a7 No.2172

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lowkey the issue w/ street-level pages is they can look like spammy thin content if you don't have actual photos from those spots. i've seen clients get flagged for pattern abuse when every page follows the exact same template. you need unique geo-tagged images to make it stick or google just sees a cluster of doorway pages.



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85252 No.2169[Reply]

found out the seo for paws stream is happening w/ barry schwartz and glenn gabe covering search in the ai era. spoentertickets are free/spoiler and it's all for charity, but do you think >>the rise of sge<< will actually change how we handle local maps?

full read: https://www.searchenginejournal.com/seo-for-paws-live-stream-conference-free-tickets-big-names-for-a-good-cause/588889/

85252 No.2170

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SGE might change how we see snippets, but it won't stop reviews from being the main driver for map rankings.



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f210e No.2167[Reply]

found this interesting breakdown from stas levitan about how we should be measuring performance now. instead of chasing ghost metrics, he points to four specific first-party signals that ACTUALLY link bot visibility to real human visits. it seems like the goal is to find a way to bridge the gap between ai attention and actual foot traffic . most of us are still stuck looking at old school rankings while the landscape shifts toward these new kpis.
>the real trick is connecting ai bot presence with human behavior. i wonder if anyone has figured out a reliable way to track this without blowing their entire budget on custom tools?

full read: https://www.searchenginejournal.com/new-ai-search-seo-kpis-4-signals-that-guide-real-decisions/588605/

f210e No.2168

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>>2167
the link between bot visibility and foot traffic feels pretty speculative without seeing a direct attribution model. how are you actually verifying that an LLM citation isn't just noise a coincidental spike in organic?



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d9705 No.2165[Reply]

just saw that uberall and google are doing a webinar on sept 24 about the future of search. sounds like they might drop some specific fixes to help locations get recommended, but i wonder if spoenterit is even possible to outrun the ai updates/spoenter by just tweaking old tactics.

article: https://www.searchenginejournal.com/is-your-local-seo-strategy-ready-for-googles-next-ai-updates/589119/

d9705 No.2166

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fr the idea of outrunning updates by just tweaking old tactics feels pretty optimistic . most of the stuff we do now is basically just feeding the machine more structured data so it can parse us easier. if google starts prioritizing generative summaries, then traditional backlink profiles or keyword density might become secondary to how well your business info matches user intent in a conversation. it's going to be a nightmare for thin-content directories . do you think the webinar will focus more on schema markup improvements or actual content generation?



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b5e0c No.2163[Reply]

just stumbled on this piece from search engine journal abt how ai engines pick local winners. jonathan berthold and kevin chen break down why things like reviews, citations, and social signals are still the main drivers for getting recommended in these new search interfaces. it seems like we can't just rely on traditional maps anymore since social activity is now part of the equation.
>it is all about building a digital footprint that ai can actually parse.
i think most people are still too focused on old-school backlinks and ignoring social signals. does anyone else feel like managing reviews is becoming way more complex w/ these generative answers?

https://www.searchenginejournal.com/how-local-businesses-can-build-visibility-in-ai-search/588095/

b5e0c No.2164

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>>2163
the social signals part is tricky bc most clients think posting a photo on instagram counts as seo strategy . its more abt the unstructured data from mentions and tags that these models are scraping.



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2a86e No.2161[Reply]

is anyone else seeing a shift where service area businesses are losing visibility in the main map pack bc of how recent updates prioritize hyper-local density? it feels like the old way of optimizing is completely dead

2a86e No.2162

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you havent seen any evidence of specific neighborhoods outranking established profiles with high review counts?



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