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LumiRank
SEO and GEO services
San Francisco · Generative Engine Optimization

Generative Engine Optimization agency in San Francisco

We make your brand the source ChatGPT, Perplexity, Gemini and Google's AI Overviews name when someone in San Francisco asks who to hire.

GEOSan Francisco, CAAnswer enginesCitations
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Ask ChatGPT to name a good option in San Francisco and you get two or three company names, often with no links at all. That is a search result. Almost no business in this market has a plan for it.

LumiRank is a Generative Engine Optimization agency working with San Francisco businesses. GEO is the work of becoming the source a model reaches for: facts it can verify, passages it can quote, and corroboration from places you do not own. Get those right and your name is in the answer. Get them wrong and a competitor's is, because the person asking never sees a results page to scroll.

We work remotely from Toronto and we do not claim a San Francisco office, because for this work it would not matter if we had one. Entity consolidation, passage-level content and off-site corroboration are done the same way from anywhere. The one thing that genuinely needs to be local is a Google Business Profile tied to a real address, and that has to be yours.

At a glance

A prompt panel for San Francisco

We write down the 40 to 60 questions your buyers actually put to an assistant about San Francisco, run them across ChatGPT, Gemini, Perplexity and AI Overviews, and record who gets named. That baseline is the scoreboard for everything after it.

A San Francisco entity engines can resolve

One name, one address, one set of facts, stated identically on your site, your Google Business Profile and every directory carrying you. Conflicting records are the most common reason a model hedges instead of recommending.

Corroboration you don't control

Models weight what other sources say about you far more heavily than what you say about yourself. In San Francisco that means the local and trade sources a model already treats as reliable, not a directory blast.

Weekly answer tracking

Share of voice per engine, plus how accurately you are described. Not a rankings PDF. A record of whether the machine says your name, and what it says about you.

Why San Francisco is a different GEO market

San Francisco is the market where your buyers are most likely to be using the same tools you are trying to appear inside. Founders and operators here ask ChatGPT for vendor shortlists as a matter of routine, which makes AI visibility a present-tense revenue question rather than a hedge against the future.

The commercial base here runs on B2B software, venture capital, fintech, professional services and a dense consulting economy, and each of those categories gets handled differently by an answer engine.

Sophistication cuts both ways. Your competitors are already publishing structured, quotable technical content, so the baseline is high and thin service pages are invisible. The differentiator is usually depth and corroboration rather than being early.

Where the opening is in San Francisco

B2B software buyers research in long, multi-turn conversations. That means the follow-up question matters more than the opening one, and most SaaS content is written entirely for the opening one.

That is the kind of gap the prompt panel is built to find. Before any content gets written we know which questions about San Francisco you are absent from, which competitors are named instead, and whether the cause is access, identity, corroboration or the page itself. Those four have different fixes and guessing between them wastes a quarter.

What we look at first in San Francisco

In San Francisco the first check is depth against an unusually high baseline. Your competitors have engineers writing their technical content, so a thin services page is not merely weaker, it is invisible.

Second, we look at whether your product documentation is doing work it is not credited for. Docs sites are frequently the most retrievable thing a B2B company owns and are almost never treated as a visibility asset.

Third, the follow-up question. Buyers here research in long multi-turn conversations, and most SaaS content answers only the opening question in the chain.

After that the sequence is the same everywhere and the order is not negotiable: crawler access, then entity resolution, then passage-level content, then corroboration. Roughly three quarters of sites are excluded from AI citation by access barriers alone, so checking that first costs an afternoon and decides whether anything else can work.

Frequently asked

Generative Engine Optimization agency in San Francisco: common questions

Our buyers are technical. Does GEO work for B2B SaaS?

It tends to work better than it does for consumer categories, because B2B buying starts with a research question rather than a transaction. Someone asking an assistant to compare tools in your category is early in a long cycle, and the vendors named in that first answer set the consideration list. The work is the same: resolvable entity, passages that answer a specific question cleanly, and third-party corroboration from sources the model already trusts.

Do you work with businesses in San Francisco if you are based in Toronto?

Yes, remotely, and we are straightforward about what that does and does not affect. Entity architecture, technical SEO, passage-level content and citation building are location-independent. Local knowledge of how San Francisco buyers phrase things is real and we build it from the prompt panel and your own sales calls rather than from claiming to be locals. What we will not do is invent a San Francisco address to look nearer than we are.

How long before this shows up in AI answers?

Crawler-access fixes land within days. Entity corrections take weeks to a few months, because you are waiting on third-party sources to be recrawled. Corroboration is measured in quarters. Anyone promising AI visibility in 30 days is describing the first category and quietly implying the other two.

Can you guarantee ChatGPT will recommend my business?

No, and neither can anyone else. We guarantee the work and the measurement: the research, entity architecture, source engineering and citation building shipped on schedule, plus the reporting. A model's output depends on its training data, its retrieval index and its own ranking, none of which any agency controls.

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