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AI Search Optimization

Your brand, cited in every AI answer

Traditional SEO gets you a blue link. AI Search Optimization gets you cited as the answer. We build the content architecture, entity presence, and structured signals that position your brand as the authoritative source across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

75K
Brands analyzed for AI citation patterns
0.71
Correlation: branded mentions to AI visibility
40%
Of Google queries now show AI Overviews
6mo
Typical timeline to measurable AI citation gains

Nine Specialized Services

Every AI citation pathway, covered.

Each LLM has a distinct mechanism for deciding what to cite. We build the signals that work for each one, on a foundation that lifts all of them.

Answer Engine Optimization (AEO)

AEO is about being the cited answer when someone asks a question. We restructure your content into the question-answer formats, E-E-A-T signals, and citation pathways that make AI systems choose your brand as the source.

Content restructuringCitation signalsE-E-A-T

Generative Engine Optimization (GEO)

GEO focuses on retrieval. When an LLM generates a response from multiple sources, your content needs to be in that retrieval pool. We build the depth, density, and structural signals that make you retrievable at generation time.

LLM retrievalContent depthSemantic density

Entity SEO & Knowledge Graph

AI systems reason about entities, not pages. We build your Knowledge Graph presence through sameAs markup, Wikidata connections, co-citation strategies, and structured data density that makes your brand a recognized entity in every model.

Knowledge GraphsameAs markupCo-citations

LLM Visibility Tracking

A monthly retainer that monitors where your brand appears across ChatGPT, Perplexity, Claude, and Gemini. We run structured prompt sets, track citation frequency, and report share-of-voice trends month over month.

Monthly trackingCitation rateShare of voice

ChatGPT SEO

ChatGPT pulls citations from Bing Search and a curated set of high-authority sources. We improve your Bing presence, strengthen domain signals that OpenAI weights in Browse mode, and build the authoritative content patterns that surface in ChatGPT answers.

Bing optimizationBrowse modeAuthority signals

Perplexity SEO

Perplexity indexes the open web aggressively and cites recent, well-structured sources. We build Perplexity citation signals through freshness cues, structured Q&A content, and the technical accessibility that makes your pages easy to parse and cite.

Open web indexingFreshnessQ&A structure

Google AI Overviews Optimization

Google AI Overviews draw from featured snippet candidates, strong E-E-A-T signals, and schema-rich pages. We align your content directly with the signals Google uses to select AI Overview sources, giving you presence at the top of the SERP before the organic links.

Featured snippetsE-E-A-TSchema markup

Claude SEO

Claude does not have real-time web access by default, but projects from training data and partner integrations. We build the web footprint and editorial presence that increases your probability of appearing in Claude training corpora and tool-use contexts.

Training data presenceEditorial authorityWeb footprint

Gemini SEO

Google Gemini uses the same index as Google Search but applies different ranking logic for generative responses. We build the specific citation signals Gemini uses: structured data, authoritative sourcing, and E-E-A-T depth at page and domain level.

Google indexStructured dataE-E-A-T signals

Traditional SEO vs AI Search

Different goal. Different signals. Different measurement.

Ahrefs analyzed 75,000 brands and found a 0.66-0.71 correlation between branded web mentions and AI visibility. The brands with the strongest AI presence are not necessarily the ones ranking #1 on Google. They are the ones with the deepest entity footprints, the most citable content structures, and the widest co-citation networks.

Traditional SEO

  • -Rank for a keyword
  • -Tune the page title and meta description
  • -Build links for PageRank
  • -Target search volume
  • -Measure impressions and clicks

AI Search Optimization

  • Be cited as the answer
  • Structure content for LLM parsing and extraction
  • Build entity co-citations for Knowledge Graph presence
  • Target conversational query intent
  • Measure citation frequency and share of voice across LLMs

AI Search in Practice

From invisible in AI answers to cited in 47% of relevant queries.

The Challenge

A B2B SaaS company serving DevOps teams had strong traditional SEO. Top-10 rankings for their core keywords, 40,000 monthly organic visitors. Zero presence in AI search. When their buyers asked ChatGPT, Perplexity, or Gemini about cloud infrastructure tools, competitor brands appeared in every generated answer. Ours did not. The gap was not content quality. It was content architecture: unstructured prose, no entity markup, no FAQ schema, no conversational query targeting.

Our Solution

We ran a full AI search audit across all four major LLMs, documenting exactly which sources were being cited and why. Then we rebuilt their content architecture: entity markup connecting them to Wikidata concepts in their space, 60+ Q&A format articles targeting conversational queries, FAQ schema on every product page, co-citation campaigns placing them alongside already-cited authorities. Parallel work on their Bing presence (for ChatGPT Browse) and Google E-E-A-T signals (for Gemini and AI Overviews).

Results Achieved

0 to 47%
AI Citation Rate
Cited in nearly half of relevant queries
+1,200%
Brand Mentions Across LLMs
ChatGPT, Perplexity, Gemini combined
+380%
Google AI Overview appearances
Tracked query set, 6 months
+85%
Organic pipeline from AI-assisted search
Lead quality score vs paid channels

FAQ

AI search optimization frequently asked questions

Traditional SEO targets rankings in a list of blue links. AI Search Optimization targets citations inside generated answers. The signals overlap partly (authority, structured data, content quality) but the logic is different. AI systems draw from multiple sources to assemble a response. Your content needs to be parseable, authoritative, and structured so the model can extract and attribute it. Most content built for SEO was designed for crawlers, not LLM retrieval pipelines.
You build for all of them through a shared foundation. Entity SEO, E-E-A-T signals, structured data, and content depth benefit every LLM. The platform-specific work happens at the edges: Bing presence for ChatGPT Browse, Google index signals for Gemini and AI Overviews, open web accessibility for Perplexity. A good AI search strategy addresses the foundation first, then layers in the platform-specific signals.
We run structured prompt sets across each major LLM monthly, tracking which queries return your brand as a citation, which return competitors, and which return no citations at all. We report citation frequency, share of voice against named competitors, and trend lines month over month. This is not a proxy metric. it is direct measurement of whether AI systems are citing your brand.
Perplexity and ChatGPT with Browse show changes fastest, typically 4-8 weeks after content and technical work is complete. Gemini and Google AI Overviews run on Google indexing cycles, 8-16 weeks for meaningful movement. Claude-specific improvements depend on training update cycles and partner integrations. We set expectations based on which LLMs matter most to your buyer journey.
No. They compound each other. Domain authority from traditional link building influences which sources AI systems trust. Topical authority from content clustering improves LLM retrieval. Technical SEO signals (crawlability, schema, page structure) feed both ranking algorithms and LLM parsing pipelines. The brands that dominate the next five years of search will run both programs in parallel, not choose between them.
Engagements start at $2,500 per month for LLM visibility tracking plus foundational optimization. Full pillar programs covering AEO, entity SEO, and multi-platform citation optimization run $4,500 to $8,000 per month depending on content volume and competitive density. We scope every engagement with a free AI search audit first so you know what you are buying before you commit.

Start with a Free AI Search Audit

Find out where your brand stands across every major LLM.

We run your brand through structured prompt sets across ChatGPT, Perplexity, Gemini, and Claude, then report which queries cite you, which cite competitors, and what it would take to shift the balance.

  • Free AI search audit across 4 major LLMs
  • Citation gap analysis vs named competitors
  • Prioritized 90-day action plan