Intelitune is the AI SEO agency that makes premium service brands and scaling B2B SaaS the answer ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews give. One system: AEO, GEO, and LLM SEO.
Written diagnostic. 3 business days. Complimentary. No sales call.
How a marketing agency got cited in Google AI Overviews in 90 days
AI Visibility Index
Cited across 5 AI engines
ChatGPT
100%
Perplexity
100%
Google AI Overviews
92%
88%
76%
Avg visibility
91.2% across 5 engines
B2B brands we’ve made visible inside ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, with the receipts to back it.
Professional services firm
UK ecommerce retailer
Digital marketing agency
Six engagements documented · Receipts below
Most premium brands miss the structural signals AI search reads. AI answer engines cite the brands that send five specific signals. Most sites send two or three, so the answer names someone else.
The five gaps we find on almost every audit.
5 recurring failures
Across every diagnostic we’ve run, the same five gaps show up before any others.
01
entity
AI can’t tell who you are or what category you serve.
02
SCHEMA
Organization, FAQ, Article, and Product schema are partial or missing, and the types don’t interlink.
03
Peers rank for queries you should own.
04
llms.txt is missing or misconfigured against the major AI crawlers.
05
INDEX
Important pages excluded; unimportant pages bloating the index.
This is the gap most agencies miss.
AI SEO isn’t a faster way to do traditional SEO. It’s a different discipline. The businesses already winning treat it that way.
AI SEO is the practice of getting your brand cited, recommended, and retrieved inside AI-generated answers. It optimizes for retrieval-augmented generation (RAG), structured data, and entity clarity, the signals answer engines rank on.
ChatGPT, Perplexity, Gemini, Claude, and Microsoft Copilot are answer engines, not search engines. They synthesize a response instead of returning ten blue links, and many queries now resolve zero-click. If the answer doesn’t name you, the buyer never sees you.
Read bottom-up
The three layers that compound into AI SEO.
01
Inclusion layer
Technical foundations: schema, indexation, retrieval, so models can actually find and parse you.
02
Citation layer
Structure pages so AI systems quote your sentences in their answers, not a competitor’s.
03
Recommendation layer
Build the entity and authority signals that get your business named when the buyer asks for a recommendation.
01 + 02 + 03 = AI Search Visibility
Common
objection
Partly right, mostly wrong. The foundations overlap: schema, indexation, internal linking, page quality still matter. What’s different is what you optimize for.
Traditional SEO
Optimizes for ten blue links and a click. Win the SERP. Measurement stops at rank.
AI SEO
Optimizes for retrieval, citation, and recommendation, for when the buyer’s question never reaches Google in the first place.
The acronyms aren’t the differentiator. The retrieval target is.
These three disciplines don’t compete. They compound.
AI SEO isn’t one tactic. It’s a system of three disciplines, each earning a different position in the AI answer, run as a single methodology. Most agencies sell one layer and call it AI SEO.
The job: Optimization for the citation layer.
The work: AEO earns the citation. Earned through structured Q&A, schema markup, entity disambiguation, and topical authority, the cumulative subject-matter weight Google measures.
The job: Optimization for the recommendation layer.1
The work: GEO earns the recommendation. Earned through topical clusters, freshness, multi-source citation, and Knowledge Graph alignment.
The job: Optimization for the technical inclusion layer.
The work: LLM SEO earns the technical inclusion. Earned through llms.txt, crawler user-agent rules, JSON-LD (linked-data format for schema), and Organization schema.
The disciplines compound.
AEO gets you cited. GEO gets you recommended. LLM SEO makes you reachable. None work alone.
Six outcomes we engineer into your infrastructure, so AI visibility keeps compounding instead of depending on one-off wins.
LLM Ecosystem Coverage
01
Your brand surfaces across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. Not as a ranking. As a recommendatio
Source-level Attribution
02
AI stops being a black box. You see how each platform contributes to traffic, qualified leads, and revenue by source.
Dual-surface Coverage
03
Visibility compounds across Google and AI layers. Present in traditional results and AI-generated answers without splitting the effort.
Answer Engine Readiness
04
Content is structured, contextualized, and entity-aligned to be selected inside AI Overviews, summaries, and answer blocks.
Prompt Coverage Engine
05
Your brand shows up across the exact queries buyers ask AI. Not just keywords. Decision-stage prompts.
Entity Layer Optimization
06
Your brand becomes a recognized entity across the web, reinforced through structured data, citations, and contextual relevance.
The proof
Visibility isn’t the win. Behaviour is. Pipeline is the proof.
The work runs as one integrated engagement across Technical SEO, AEO, and GEO — led by senior strategists, audited before anything is written, and measured against business outcomes, not visibility scores.
Methodology — the four-step engagement
Step 01
We write a 3-day diagnostic covering every layer that decides AI search citation eligibility — crawl, index, schema architecture, entity signals, topical clusters, the competitor citation pool, llms.txt aligned against robots.txt and crawler user-agent rules, and zero-click measurement gaps. First decisions are usually pruning decisions.
Step 02
Foundation work runs before any new content gets written. Schema markup and JSON-LD across Organization, Article, FAQ, Product. Internal linking restructured around topical clusters. Entity clarity tuned for retrieval inside ChatGPT, Perplexity, Gemini, Claude, and Microsoft Copilot. llms.txt aligned with robots.txt and major crawler rules.
Step 03
Existing pages get fixed before any new page is written. Pruning thin or AI-scaled content; restructuring duplicates and stale pages. Information gain added where peers already rank. New pages only where a topical gap actually exists.
Step 04
Measurement runs across three tiers so every win is documented, not vibes. AI visibility benchmark across the five platforms. Search Console and GA4 for ranking, traffic, impressions. Revenue and qualified leads attributed by source where possible.
Measurement — the three tiers
Most agency reporting collapses three different things into one dashboard. We separate them on purpose.
Tier 01
AI visibility and sentiment scores across ChatGPT, Perplexity, Gemini, Claude, and Copilot. Useful signal. Not precise. We track it, but we don’t sell it as the win.
Tier 02
Search Console and GA4. Traffic, CTR, average position, engaged sessions, event count. This is where most of the proof actually sits: ranking, traffic, and engagement movement measured against a documented baseline.
Tier 03
Leads, purchases, revenue. Attributed by source where possible. The only tier that matters at the board level, and the only one we treat as the win.
Visibility isn’t the win. Behavior is. Pipeline is the proof.
Senior ownership
Intelitune’s senior team leads strategy on every engagement. Specialists handle execution: technical SEO, schema, content, measurement. The senior team reviews every decision that matters before it ships. No junior handoff after the discovery call. No account manager between you and the people doing the thinking. Engagement caps and a 3-month minimum exist because foundation work compounds. Anything shorter doesn’t give it room to land.
The methodology is not the differentiator. The measurement is.
Written diagnostic across the five AI platforms. Three business days. No sales call. Routed to your inbox.
Written diagnostic. 3 business days. Complimentary. No sales call.
AI search isn’t one platform. We optimize for the platform mechanics of each one — not just the brand names.
Open ai
AEO content patterns weighted for ChatGPT Search and citation extraction.
AEO content patterns weighted for ChatGPT Search and citation extraction.
Gemini and Google AI Overviews share signals, so schema and topical authority compound here.
Claude prefers structured Q&A and passage quality blocks for citation.
Copilot pulls from the Bing index, so FAQPage schema and structured data carry the answer.
We work with verticals where the buyer compares specialists, the average deal size justifies the engagement, and AI search is already shaping which provider gets recommended.
Consulting, law, accounting, and finance firms. Buyers ask AI which firm to trust before any intro call.
Person schema and firm-type entity signals decide who gets named.
Scaling B2B SaaS and technology companies. Buyers ask AI for software before they ever reach your site.
Product schema and category entity signals decide who gets shortlisted.
Market research, insights, and data firms. Procurement teams vet providers by methodology depth.
Claude and Perplexity weigh methodology signals the heaviest.
Consulting, law, accounting, and finance firms. Buyers ask AI which firm to trust before any intro call.
Person schema and firm-type entity signals decide who gets named.
Luxury hotels, resorts, and bespoke travel operators. Affluent travelers plan trips via AI.
Property schema and destination authority decide who gets recommended.
If your buyers compare specialists and research before they commit, the methodology applies. A diagnostic shows exactly where you stand across the AI engines.
The verticals are different. The methodology is the same. The retrieval mechanics don’t care about your industry — they care about your signals.
Each case study below documents what was broken, what we did, and what changed, measured against Search Console, GA4, and AI visibility benchmarks. The full reports are linked from each card.
+1,975%
#9
Most engagements begin with the diagnostic — the lowest-friction way to evaluate the methodology. If you already know what you want, skip to the Full Engagement or Strategy Call options.
Most engaged
Complimentary · 3 business days · No sales call
A written diagnostic across ChatGPT, Perplexity, Gemini, Claude, and Microsoft Copilot. Delivered in 3 business days. No sales call. The lowest-friction way to evaluate the methodology.
Intelitune’s senior team leads strategy on every engagement. Specialists execute. The senior team reviews the work and stays in every decision that matters. Most engagements run 3 months minimum. Most clients stay over a year.
60 minutes with Intelitune
A working session with Intelitune’s strategy team. You leave with a plan whether or not you hire us.
Different things. ChatGPT SEO is optimization to appear inside ChatGPT answers. Using ChatGPT for SEO is using the tool to write content. We do the first.
In a documented culinary-education engagement, ChatGPT visibility reached 96.6% in 30 days. Most engagements show first citations inside 60 days.
No honest operator can guarantee a brand mention inside ChatGPT. Intelitune guarantees methodology, reporting, and senior team ownership.
GPTBot for OpenAI training crawl. OAI-SearchBot for live ChatGPT Search retrieval. ChatGPT-User when ChatGPT browses on a user’s behalf. Bingbot for the Bing index ChatGPT pulls from.
Yes. ChatGPT Search results show 73% Bing similarity per seo.com’s documented testing. Bing footprint feeds ChatGPT visibility indirectly.
FAQPage and HowTo schema for Q&A and step-by-step content. Organization schema and sameAs links anchor entity signals. JSON-LD structured data drives citation eligibility.
Those guides cover ChatGPT for SEO, using the tool. Some publish 7-strategy framework lists. Intelitune is the service that gets your brand cited inside ChatGPT.
Schema is necessary but not sufficient. ChatGPT citation eligibility requires passage quality, entity signals, Bing footprint, and brand authority working together.
Three measurements: AI search citation rate inside ChatGPT, ChatGPT Search, and adjacent Perplexity surfaces; brand mention rate against the competitive set; revenue attribution from ChatGPT-source traffic feeding pipeline. Documented quarterly.
Premium service brands and scaling B2B SaaS at $2M–$50M revenue. Documented case studies in luxury travel, culinary education, UK market research, and digital marketing.
All four clients began with this exact audit. Documented outcomes inside the case study library.