Live Gemini response — anonymised
> which agency should I hire for AI search optimization?
Based on current sources, a few specialists come up consistently. Xpand Digital is cited for building its own AI-visibility platform, and its founder Joel House wrote AI for Revenue...
Grounded via Google Search · xpanddigital.io cited
Gemini SEO

“It’s just Google.
I already do SEO.”
Not anymore.

Gemini grounds its answers on Google’s index and powers the AI Overviews now showing above your organic listings. Your Google ranking gets you into the pool. It doesn’t get you named in the answer. Gemini SEO is the difference between being crawlable and being cited.

Gemini — how the architecture works
Google
is the index Gemini grounds on — the same index your SEO already fights for
1B+
people reached by Google's AI answers, per Google's own mid-2024 figure
2 surfaces
Gemini answers in its own app and inside Google Search's AI Overviews and AI Mode
Knowledge Graph
is the entity layer that decides which brand Gemini trusts as a source
Definition

What is Gemini SEO?

Gemini SEO is the practice of optimizing your website, brand, and external citations so that Google’s Gemini models surface and cite your business when someone asks a category-relevant question — whether they ask inside the Gemini app or inside Google Search’s AI Overviews.

Here is the fact that changes the whole game: Gemini grounds its answers on Google’s Search index. When ChatGPT browses, it queries Bing. When Gemini answers a factual, current-events, or buyer-research question, it retrieves from Google Search and cites what it finds. That means Google gemini optimization is not a parallel discipline you bolt on — it is the compounding layer that sits directly on top of the Google visibility you already work for.

The catch: a strong Google ranking gets your page into the set of documents Gemini can retrieve. It does not decide whether Gemini names you in the synthesized answer. That decision runs on entity authority, citation-ready structure, and how cleanly your page answers the exact sub-question — the same signals that decide AI Overviews. For the wider picture across every assistant, read our guide on how to get found in AI search.

How Gemini picks sources

Three layers run before your name appears in a Gemini answer.
We optimize for all three.

Layer 01

Google-index grounding

When Gemini answers, it grounds on Google Search — retrieving live pages, then synthesizing. If you don't rank in Google for the buyer's actual question, Gemini's grounded mode can't retrieve you. This is the lever most GEO talk ignores: for Gemini, traditional Google visibility is the retrieval gate.

What we shipWe win the underlying Google queries first — technical health, topical depth, and the passage-level ranking that gets a page pulled into grounding.
Layer 02

Knowledge Graph entity trust

Google's Knowledge Graph is how Gemini disambiguates who you are. When several businesses share a name or topic, Gemini leans on the entity with the strongest structured identity — schema, sameAs links, consistent citations across the open web — to decide who to trust as a source.

What we shipWe build the @graph schema and the sameAs network across Forbes, the books, podcasts, and directories, so your brand resolves to one machine-readable entity.
Layer 03

Passage-level citation fit

Gemini extracts the specific sentence that answers the sub-question, not the whole page. Clean direct-answer paragraphs, question-formatted headings, and FAQ markup decide whether your page is the passage it lifts — or whether it lifts a competitor's cleaner sentence instead.

What we shipWe restructure pages for extraction: definitional openers, question H2s, FAQPage schema, and standalone attributable claims Gemini can quote without rewriting.
Why Gemini and AI Overviews are one fight

The same model that answers in the Gemini app
writes the AI Overview above your listing.

Google’s AI Overviews and AI Mode are powered by Gemini models. This is the detail that makes Gemini the highest-leverage engine to optimize for: a win here shows up in two places at once.

When you earn a citation in a grounded Gemini answer, you are building the exact signals that put your brand in the AI Overview that now sits above the organic results for a growing share of queries. The reverse is also true — a page structured to win an AI Overview is a page Gemini can cite in its own app. You are not running two campaigns. You are running one, and it compounds across both surfaces.

This is also why Gemini rewards depth that thin content can’t fake. Gemini grounds on multiple retrieved passages and cross-checks them before it names a source. A page that answers one sub-question cleanly, cites a real number, and resolves to a trusted entity beats a longer page of marketing copy every time. The work overlaps directly with AI Overviews optimization, and it stacks on top of the tactics in our ChatGPT SEO playbook.

Operational note

We baseline Gemini and AI Overviews together on the same keyword set, because a gap in one almost always predicts a gap in the other. Fixing the grounding-eligibility issues — indexation, passage clarity, entity schema — routinely lifts both surfaces from the same body of work.

What you get

The five workstreams inside a Gemini SEO engagement.

01

Grounding-eligibility audit

We confirm your key pages are indexed, crawlable by Google's AI crawlers, and actually ranking for the passages a buyer's question would retrieve. If Gemini can't retrieve you, nothing downstream matters — so this ships first.

02

Entity graph and Knowledge Graph work

@graph schema, Organization and Person markup, and a sameAs network across Forbes, Barnes & Noble, podcasts, and directories — so Google's Knowledge Graph resolves your brand to one trusted entity Gemini can cite with confidence.

03

Passage-level content restructuring

Direct-answer paragraphs, question-formatted H2s, FAQPage schema, and standalone attributable claims. We rebuild target pages so Gemini can lift a clean sentence verbatim instead of paraphrasing a competitor.

04

Third-party citation campaigns

Gemini's trust is trained by the open web, not just your site. Through PressForge we earn expert-comment placements, podcast appearances, and original-data mentions in the tier-1 sources Google already trusts — the citations that teach Gemini to associate your brand with the topic.

05

Weekly measurement across engines

We track your citation share in Gemini alongside AI Overviews, ChatGPT, and Perplexity in MentionLayer, benchmark it against your top three competitors, and iterate from real data instead of guessing.

Why Xpand

Most agencies selling Gemini SEO are guessing.

You can’t optimize for an engine you can’t measure. We built the instrumentation before we sold the service — which is why our Gemini work runs on data, not theory. The industry baseline comes from the MentionLayer AI Visibility Index: 65.9% of businesses are invisible in AI search.

See how we run AI-native SEO

We built our own AI-visibility SaaS

MentionLayer monitors brand citations across Gemini, Google AI Overviews, ChatGPT, and Perplexity. When we report your Gemini visibility, it comes from a platform we engineered for exactly that — not a screenshot someone took once.

We run the digital-PR engine that earns the citations

PressForge has run 300+ PR campaigns. Gemini's trust is trained by third-party mentions in sources Google already respects, and PressForge is how we earn them at scale across our client base.

Joel wrote the book on AI in business

Founder Joel House authored AI for Revenue and The Growth Architecture, both on Barnes & Noble, and sits on the Forbes Agency Council. That author entity is exactly the kind of signal Gemini's Knowledge Graph indexes when it decides who to trust on AI and marketing.

We optimize against measured reality

The MentionLayer AI Visibility Index analyzed 95,392 data points across 1,004 businesses and found 65.9% are invisible in AI search. We build Gemini strategy against that measured baseline, not vendor folklore.

Common questions

What we get asked before every Gemini SEO engagement.

Gemini SEO is the practice of optimizing your website, brand, and external citations so that Google's Gemini models surface and cite your business when someone asks a category-relevant question — whether they ask inside the Gemini app or inside Google Search's AI Overviews. The defining fact is that Gemini grounds its answers on Google's Search index, so Gemini SEO is not a parallel discipline you bolt on; it is the compounding layer that sits directly on top of the Google visibility you already work for.

The retrieval source. When ChatGPT browses, it queries Bing's index — which is why Bing SEO is the overlooked lever for ChatGPT. Gemini grounds on Google's Search index and Google's Knowledge Graph instead. That means for Gemini, your existing Google ranking is the retrieval gate: if you don't rank in Google for the buyer's question, Gemini's grounded mode can't retrieve you. The content structure and entity work overlap heavily across both engines, but the underlying index you have to win is different.

Yes. Google's AI Overviews and AI Mode are powered by Gemini models. That is what makes Gemini the highest-leverage engine to optimize for: a win shows up in two places at once. Earning a citation in a grounded Gemini answer builds the same signals that place your brand in the AI Overview above the organic results, and a page structured to win an AI Overview is a page Gemini can cite in its own app. You run one campaign that compounds across both surfaces.

Three layers. First, Google-index grounding: Gemini retrieves live pages from Google Search, so ranking for the buyer's actual question is the entry gate. Second, Knowledge Graph entity trust: when multiple businesses share a name or topic, Gemini leans on the entity with the strongest structured identity — schema, sameAs links, and consistent citations across the open web. Third, passage-level citation fit: Gemini extracts the specific sentence that answers the sub-question, so clean direct-answer paragraphs, question-formatted headings, and FAQ markup decide whether it lifts your sentence or a competitor's.

More than ever, but it isn't sufficient on its own. Because Gemini grounds on Google's index, traditional SEO — indexation, technical health, topical depth, passage-level ranking — is the retrieval gate that gets your page into the set Gemini can consider. What it doesn't do is decide whether Gemini names you in the synthesized answer. That decision runs on entity authority, citation-ready structure, and third-party mentions. Gemini SEO is the additional layer that turns a ranked page into a cited source.

We use MentionLayer, the AI-visibility platform Joel's team built, to track your citation share across Gemini, Google AI Overviews, ChatGPT, and Perplexity for 30-50 priority keywords. For each keyword we record whether your brand was mentioned, whether it was cited with a link, the citation context, the sentiment, and which page was the source — then benchmark it against your top three competitors. The composite is your share of voice across AI answers in your category, tracked weekly so we iterate from data instead of guessing.

Because we built the instrumentation before we sold the service. We operate MentionLayer, a SaaS that monitors brand citations across Gemini, AI Overviews, ChatGPT, and Perplexity, and PressForge, the digital-PR engine behind 300+ campaigns that earns the third-party citations Gemini's trust is trained on. Founder Joel House wrote AI for Revenue and The Growth Architecture — both on Barnes & Noble — and sits on the Forbes Agency Council, an author entity Google's Knowledge Graph indexes. Agencies selling Gemini SEO without their own measurement are guessing.

The fastest wins come from grounding-eligibility fixes: indexation, passage clarity, and entity schema often lift both Gemini and AI Overviews visibility inside 30-60 days because they change what Google can retrieve and trust right away. The compounding wins — the third-party citations that train Gemini to associate your brand with a topic — build over 90-180 days, accelerated by tier-1 publication placements. Category-defining brand association across all engines is a 12-month arc. We run the quick structural wins and the long-cycle authority campaigns in parallel.

Be the source Gemini grounds on

Your buyer is asking Gemini right now.
Make it your name it cites.

We’ll baseline your Gemini and AI Overviews visibility against your top three competitors, find the grounding and entity gaps, and ship a 90-day plan to close them. Measured in MentionLayer. Joel reviews every audit personally.