Google rankings, AI Overviews, and answer-engine citations, audited, prioritized, and shipped by the same person who scopes them. For B2B and B2C, with no long retainer required.
The Challenge
The SERP isn't a list of ten blue links anymore. Here's what's getting in the way of your traffic and pipeline.
Traffic that doesn't convert is a vanity metric. Most SEO programs chase volume keywords that never reach a buyer or a cart.
AI Overviews, ChatGPT, and Perplexity now intercept the click. If your content isn't structured to be cited, you're invisible, even when you rank.
A 40-hour manual audit shipped six weeks late is already wrong. The web moves faster than that. So do the algorithms.
Most agencies bill for activity, not lift. We bill for shipped work tied to specific visibility and revenue goals you can measure.
Our Framework
A practical, five-phase approach that takes you from "we should probably do SEO" to ranked, cited, and converting.
B2B & B2C
Search behavior, intent, and conversion paths look nothing alike across B2B and B2C, so the work shouldn't either.
We optimize for the queries decision-makers actually run during evaluation, build topical authority around your category, and engineer pages to be cited by AI when buyers research vendors.
We optimize for purchase-intent queries, structure product and category content to win Shopping and AI Overview placements, and tighten the path from search to cart or storefront.
What's Different Here
Most agencies do the audit by hand and bill you for forty hours. We built an agentic audit pipeline so your money goes toward fixing problems, not finding them.
DataForSEO-grade keyword, ranking, and competitor signals feed every recommendation, not what an agency "felt" was important.
A chain of AI agents surfaces technical issues, content gaps, and competitive openings in hours, not weeks. The audit is fresher than the SERP it's auditing.
We optimize for AI Overviews, ChatGPT, and Perplexity citations alongside classic Google rankings, because that's where buyers are actually finding answers now.
Stop optimizing for last decade's SERP. Let BitSherpa build the search visibility your business actually needs, across Google, AI Overviews, and the answer engines your buyers are already using.
Based in Minneapolis and St. Paul. Working with clients nationwide.
FAQ
AI search visibility measures how prominently your business appears in AI-powered search results from platforms like Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot. Unlike traditional SEO, it requires structured content, clear authority signals, and machine-readable formats that AI engines can confidently cite.
BitSherpa does this work from Minneapolis, for clients across the US in both business and consumer markets. The scope covers Google AI Overviews and AI Mode, ChatGPT, Perplexity, and Bing Copilot. Engagements are run start to finish by the same person who scopes them, so nothing gets handed to an account team after the sales call. Most people arrive with the same complaint: the site ranks perfectly well in ordinary search results, and AI answers still never mention them.
BitSherpa works from the Minneapolis and St. Paul metro and takes clients nationwide. Most of the work happens remotely, because the analysis runs against your site, your Search Console data, and how AI engines answer prompts about your category. None of that needs anyone in the room. For local businesses, where the map pack and your Google Business Profile do the heavy lifting, location work is part of the engagement whether or not we ever meet in person.
Generative Engine Optimization focuses on making your content citable by AI systems, while traditional SEO targets ranking in link-based search results. GEO emphasizes structured data, authoritative tone, self-contained answers, and schema markup so AI engines can extract and attribute information directly to your brand.
Both, with different playbooks. B2B buying runs long and involves several people, so the work targets evaluation-stage queries and getting cited when a buyer asks an AI to shortlist vendors. Consumer work moves faster and is more transactional: product and category pages built for purchase intent, local and Google Business signals, review surfaces, and comparison content that earns the click back. How results get measured is the same in both. What gets optimized is not.
Yes, and the mechanics differ from B2B. Ecommerce work centers on product and category schema, feed hygiene, and getting products surfaced when someone asks an assistant what to buy. Local businesses live or die on the Google Business Profile, review volume and recency, and location schema, because AI assistants lean hard on those signals when the question is "who should I call near me." Both come back to the same requirement, which is content a machine can parse without guessing.
It starts with measurement: which engines mention your brand right now, for which prompts, and what they say about you. After that the work is mostly structural. Content gets rewritten so individual answers stand on their own, schema markup gets added or corrected, and crawler access gets checked for the AI bots specifically, which is not the same as checking it for Googlebot. Then you measure again. Anyone who skips the first step is guessing.
Eight to twelve weeks before citations move measurably. Schema and structural fixes show up first, because engines re-crawl and re-index those quickly. Brand-level trust takes longer and is harder to attribute. One expectation worth setting early: AI visibility reporting is thinner than SEO reporting. Google's Generative AI report in Search Console gives you impressions only. No clicks, no positions, no query data, and no API access.
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