The AI SEO agencythat ranks, gets cited, tracks, compounds, adaptson Google AND inside AI answers.
An AI SEO agency that ranks you on Google AND gets you cited inside ChatGPT, Perplexity, Gemini and Claude. Classic SEO foundation, GEO content engineering, entity authority build, monthly citation tracking. The two channels work together, not against each other.
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
Attio
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude Code
Claude Cowork
Clay
Clickup
Cursor
Deepseek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Freepik Spaces
Gamma
Gemini
Glide
Grok
HiggsfieldAI SEO that actually compounds stands on 4 pillars.
Most GEO pitches are buzzwords stapled onto a classic SEO retainer. The stack we deploy in 2026 treats Google and the AI engines as one funnel, not two — citations are a measurable channel with a backlog, a tracker and a monthly iteration loop.
- Foundation
Classic SEO that still ranks
Technical audit (Core Web Vitals, crawl, internal linking), keyword research that maps to buyer intent, long-form content briefed on real queries, targeted link building. The fundamentals haven't died, AI Overviews just exposed the sites that were already weak underneath.
How we audit SEO - GEO
Citations in AI engines
We engineer your content so ChatGPT, Perplexity, Gemini and Claude cite you, not your competitors. TL;DR summaries up top, H2 as explicit questions, quantified claims with sources, FAQ schema, semantic interlinking. Citation count tracked monthly via Otterly, Profound and manual sampling.
Generative Engine Optimization - Entity
Topical authority by entities
LLMs don't rank word-by-word, they rank by entities. We build your entity graph (your company, your team, your products, your industry, your geography) and connect it to authoritative sources — Wikipedia when eligible, Crunchbase, trade press, podcasts, team LinkedIn presence — so the model knows what you stand for before it answers.
See entity SEO - Measurement
Citation tracking + monthly iteration
New KPI that didn't exist in 2023: your generative share of voice. We track which queries cite you in ChatGPT, Perplexity, Gemini and Claude, where competitors front-run you, and where the content gap is. Monthly review, content backlog refresh, eval pass on the new pages.
What we measure
What an AI SEO engine in motion actually delivers.
- +60%AI citations after 4 months
On the queries we explicitly target. Measured via Otterly, Profound and a manual weekly sample across ChatGPT, Perplexity, Gemini, Claude. Directional benchmark — your industry and starting authority shift the amplitude.
- Top 3On 12 strategic queries
Average observed after 6 months on B2B SaaS and services missions. Google top 3 AND citation in at least one major AI engine on the same query. The two channels reinforce each other when entity authority is solid.
- 0Guaranteed promise
GEO is moving ground. LLM algorithms shift every 2-3 months, measurement tools are young, some wins are short-lived. We promise a stack that adapts faster than your competitors, not a position on a leaderboard.
Our 4-step build, from audit to citations in flight.
Every mission follows the same shape regardless of whether you start at zero on GEO or have 18 months of classic SEO behind you. We measure where you are, we ship the foundational rewrites, we wire the technical hooks, then we iterate on the queries that move first.
- Audit · classic SEO health + current citation baseline in ChatGPT, Perplexity, Gemini, Claude
- Map · keywords scored on volume, intent, and AI-citation feasibility
- Ship · content rewritten or freshly published with TL;DR, FAQ schema, entity links
- Measure · citation count, Google rankings, content gap vs. competitors — monthly
Citation count is a number on a dashboard, not a vibe.
Most "AI SEO" offerings hand you a deck about "the future of search" and a generic content retainer. We hand you a number — your generative share of voice, week over week — and the next 20 actions to move it. If a query starts citing a competitor, you see it within 7 days, not next quarter.
- Citations are tracked from day one, not announced as a vague output
- Content structured for citability: TL;DR up top, FAQ schema, quantified claims
- Entity graph built across Wikipedia, Crunchbase, trade press, LinkedIn presence
- Monthly content backlog refresh based on what competitors are getting cited for
We pull your current citations, you leave with a plan.
Before quoting anything, we spend 60 minutes auditing where you stand: Google positions on the strategic keywords, citation footprint in ChatGPT, Perplexity, Gemini and Claude, technical SEO health, entity authority signals. You walk away with a citation baseline you can show to your CMO and 3 quick wins to ship within 30 days. Zero pitch, just an outside look.
- Citation baseline on 30+ strategic queries across ChatGPT, Perplexity, Gemini, Claude
- Classic SEO health snapshot (Core Web Vitals, rankings, link profile)
- Entity authority audit (Wikipedia, Crunchbase, press, LinkedIn coverage)
- Top 3 quick wins actionable within 30 days
How we run an AI SEO engagement.
Five steps, in order, no skip. We don't open an editor before the baseline audit is signed, we don't publish before FAQ schema and entity references are in place, and we don't bill a retainer before the citation tracker is set up. Every step has a DOD and you approve before we move to the next.
- Step 1 · SEO + GEO audit
Audit classic SEO health and current AI citation footprint
We pull your current Google rankings, Core Web Vitals, crawl health and internal linking depth — the classic foundation that AI Overviews exposed. In parallel we map your current citation footprint in ChatGPT, Perplexity, Gemini and Claude on 30 to 80 representative queries: where you're cited, where your competitors are cited, where nobody is cited (the white space). You walk away with a one-page diagnostic and the top 3 quick wins to ship within 30 days.
- Step 2 · Keyword + intent map
Map every keyword on volume, intent and AI-citation feasibility
Each keyword in your space sorted into one of four funnel stages (awareness, consideration, decision, retention), one search intent (informational, navigational, commercial, transactional), and a new axis specific to GEO: whether the query is the kind LLMs actually answer (informational, comparative, long-tail), or the kind they redirect to Google for (transactional, navigational). The map drives a backlog of 6 to 12 months of content — and tells you which queries are not worth fighting for in GEO at all.
- Step 3 · Content + entity build
Ship content structured for citation, not for word count
Every new article follows the same anatomy: a TL;DR paragraph at the top with the quantified answer, H2 and H3 phrased as explicit questions, quantified claims with source links in the opening paragraphs (not buried at the bottom), comparison tables, FAQs marked up as JSON-LD schema. In parallel we work on your entity graph: Wikipedia eligibility when the case is there, Crunchbase profile, podcast appearances, team LinkedIn presence, mentions in trade press. The model needs to know what you stand for before it cites you.
- Step 4 · Technical wiring
Wire the technical hooks that AI engines actually read
FAQ schema and HowTo schema on every page that warrants it. Semantic internal linking that mirrors your entity graph (a Claude agency page links to the Anthropic agency page, both link to AI agency, the home, the labs review of Claude — circular reinforcement that LLMs pick up). robots.txt that explicitly allows GPTBot, ClaudeBot, PerplexityBot, GoogleOther. Sitemap up to date. Author bylines with worksFor markup. Tiny pieces, each amplifying the next.
- Step 5 · Measure + iterate monthly
Track citations, refresh the backlog, iterate every month
Citation tracking on the 30 to 80 strategic queries via Otterly, Profound and AI Visibility tools, plus a manual weekly sample to catch what automated tools miss. Google rankings tracked on the same queries via Semrush or Ahrefs. Content gap analysis monthly: which queries are getting cited for competitors that we're not covering yet, which articles are decaying, which entities need a fresh signal. Monthly review with us, action items written, shipped before the next call.
The same engine, across multiple client missions.
The frames below come from real monthly review calls with clients running AI SEO retainers: citation count refresh on the strategic queries, content gap analysis, entity authority signals to ship next, the queue of articles to rewrite or kill. Same operational rigor, different industries, all in B2B SaaS and services. Our Trustpilot reviews come from the operators we work with.
- Monthly citation review with every client running a SEO + GEO retainer
- Citation tracker updated weekly, dashboard shared in real time
- A competitor stealing citations on a strategic query triggers a content rewrite within the week
- Trustpilot reviews come from the marketing and CMO teams running the engine, not from us
The 10 questions we get asked on every call.
What's the difference between SEO and AI SEO (GEO)?
Classic SEO optimizes for the Google ranking algorithm — keywords, backlinks, page speed, structured data, internal linking. AI SEO (or GEO, Generative Engine Optimization) optimizes for the LLMs that answer questions directly: ChatGPT, Perplexity, Gemini, Claude. Same goal (be visible), different surface (a generated answer instead of 10 blue links). The two overlap heavily — solid classic SEO is the foundation that makes GEO work — but the optimization techniques diverge: TL;DR summaries, FAQ schema, entity authority and semantic clustering matter more for GEO than backlink count.Is AI SEO actually important or just a buzzword?
Important. Measurable. Google AI Overviews hit 70% of informational queries in the US in 2026, ChatGPT Search crossed 200M weekly users, Perplexity handles 15M queries/day, Claude has citation in its answers since 2024. On technical B2B queries (the ones your prospects type), 30-50% of Google traffic already shifted to generated answers that don't click out. Ignoring GEO in 2026 is exactly like ignoring mobile in 2014. Method is moving — LLM algorithms shift every 2-3 months — so you need an agency that adapts faster than you do.How much does an AI SEO agency cost in 2026?
Depends on scope. A focused mission (GEO audit + 10-20 articles rewritten for citability + entity build) runs $8,000 to $25,000 depending on starting baseline. A monthly retainer (SEO + GEO + content production + entity build + monthly tracking) starts around $4,000-$8,000/month for SMBs, up to $15,000-$25,000/month for mid-market with high volume. Watch out for agencies that price-fix without a citation baseline audit, or that promise top-3 in AI engines guaranteed — that's not how the technology works.Should we kill our classic SEO budget and put it all in GEO?
No. Classic SEO is still ~60-70% of the answer to most B2B search queries — direct Google clicks, AI Overviews that cite ranked pages, internal site search. GEO is the additional ~20-30% that's leaking out through generated answers that don't click. We work both channels together: classic SEO foundations (technical health, Core Web Vitals, link profile) feed GEO citability (entity authority, source credibility). Skipping classic to chase GEO is a fast way to lose both.How do you actually track citations in ChatGPT, Perplexity, Gemini and Claude?
Three layers. (1) Specialized tools: Otterly, Profound, AI Visibility, Athena run automated queries across the engines and report citation counts and rankings. (2) Manual sampling: weekly we run 30-80 strategic queries by hand on each engine and log who's cited (engines change models and citation behavior often, the automated tools lag by weeks). (3) Server logs: GPTBot, ClaudeBot, PerplexityBot and friends show up in your access logs with telltale user-agents — we track which pages they hit most often as a leading indicator of where citations are about to land.How long until we see results from AI SEO?
Honest answer: 3 to 6 months for the first measurable citation lifts (new pages start getting cited, existing pages get rewritten and re-indexed). 9 to 12 months for the full system to compound and produce a steady flow of generative share of voice on the strategic queries. GEO is faster to move than classic SEO at the page level (LLMs re-crawl and re-rank weekly, not monthly), but the entity authority work needed to be cited consistently takes the same 9-12 months as a domain authority build.What's an entity graph and why does it matter for AI SEO?
An entity graph is the network of named concepts an LLM associates with you — your company name, your founders, your products, your industry, your geography, your tools, your case studies. The model doesn't cite a page, it cites an entity that has authoritative coverage across multiple sources. Building your entity graph means: Wikipedia page if eligible, Crunchbase profile, mentions in trade press, podcast appearances, team LinkedIn presence with consistent worksFor markup, semantic internal linking on your own site. Without the graph, even the best content struggles to get cited because the model doesn't know what you stand for.Do you do SEO content production in-house or outsource it?
Hybrid. Brief and editorial strategy in-house (keyword research, search intent, AI-citation feasibility, outline). First draft generated via Claude or ChatGPT with a system prompt calibrated on your tone of voice. Systematic human rewrite (50-70% of the text revised) by a writer specialized in your industry. SEO + GEO optimization pass: TL;DR, H2 questions, FAQ JSON-LD, internal linking, entity references. Output rate: 10-40 long-form articles per month depending on budget. No raw AI content published without human review. House rule.What CRMs and analytics tools do you wire AI SEO measurement to?
Tool-agnostic. We pull Google data from Search Console and GA4, classic SEO data from Semrush or Ahrefs, AI citation data from Otterly / Profound / AI Visibility, and aggregate everything into a shared dashboard you check whenever you want (Looker Studio, Metabase, or custom on Supabase + BigQuery depending on volume). We refuse to track vanity metrics (impressions without action) unless they serve a direct business goal. Monthly review session, KPI owner on your side, action items signed off before we move.How long do we commit for?
Three formats. (1) Audit only: flat fee, 2 weeks, deliverable is the citation baseline and the ranked backlog of 20 quick wins. (2) Sprint: 3 months, we ship the foundational rewrites and the entity build, hand over the playbook. (3) Ongoing retainer: 6-month minimum (GEO doesn't deliver in month 1, we won't bill for nothing), then monthly cancellation. No forced annual contract, no convoluted exit clauses. If we don't deliver, you stop.
Stop guessing about GEO. Measure your citations.
A 60-minute audit, your current citation baseline on 30 strategic queries, three quick wins to ship in 30 days. If your AI SEO is already running well, we'll say so and we won't sell you anything.