Senior strategist plus always-on pipeline. Monitor every engine, ship citations and pillar content, compound traffic into pipeline and revenue. One engagement, one cadence.
Half your buyers start in ChatGPT or Perplexity. The pages that win there use different signals than the ones that won Google.
AI Overviews now sit above the first organic result on Google. Click-through to your page falls every quarter, and your team can only watch the slide.
Prospects ask ChatGPT before they ask you. The brand it picks goes into the deal. If you're not in the answer, the click never happens.
New AI search products launch monthly. Each ranks differently. Without daily monitoring, you can't tell where you're winning, plateauing, or losing.
First-result organic CTR drop with AI Overviews Sistrix · 2024
B2B buyers research with AI before talking to vendors 6sense / Gartner · 2024
Commercial-intent queries that trigger AI Overviews BrightEdge · 2024
A top-1% strategist on the account. A pipeline that monitors, builds, and ships under them.
Citations, rankings, source-type, competitor moves — refreshed daily across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Nothing slips.
Unlimited pillars and programmatic pages. A senior reviewer signs every batch — output ramps without quality sliding.
Show up on the comparison and category queries that close. Each cited page is leverage you stop renting from paid.
Every sprint adds new pages and tightens old ones. The surface grows, citations stack, and the system gets better month over month.
A week-one diagnostic, then daily monitoring. Gap clusters ranked by traffic potential and a 30-day fix plan.
Citation share per query, per AI search product, per source-type. Daily, not quarterly.
Own page or G2 review? Reddit or Wikipedia? Each AI search picks differently. The audit names yours.
Which competitors win the queries you should be winning, and by how much.
A 47-page diagnostic and a 30-day plan, free. No credit card. No commitment.
Articles, schema, entities, and authority signals built for the answer — not the SERP.
A 3-pass humanization layer makes the output read like a practitioner wrote it — and pass every detector before it ships.
For each priority gap, a structured brief. Schema, citations to earn, anchor copy, source-type target, est. lift.
Daily polling on five AI search products. Citation share per query, per source-type — all in one dashboard.
Bylines, credentials, original research, schema. The signals models read to grade trust before pulling a quote.
Specific things, places, and relationships. The semantic graph an LLM uses to decide what answers what.
The system speeds drafting. The strategist owns judgment. Every shipped artifact has a senior reviewer behind it.
Programmatic page generation across the patterns that win. Schema and llms.txt on every page. A senior reviewer signs every batch.
Senior-reviewed long-form on the queries that anchor your category. No monthly cap, no surprise add-on fees.
One template generates the long tail. Variable matrices fill in the words; the audit picks the patterns that close.
The strategist sets direction. The system briefs, ships, monitors, and refines on its own. You approve, it compounds.
Patterns picked from real query volume. Each one tuned for ranking on Google and earning citation in the answer.
5 to 50 pages per pattern, generated from a controlled variable matrix. Output reviewed before any of it goes live.
JSON-LD, structured FAQs, llms.txt, and a robots.txt that cooperates with both crawlers and answer engines.
Templated pages for high-volume query patterns. Schema and llms.txt shipped on every page, before anything goes live.
"We had an in-house SEO team for two years. They missed every topical gap MH-1 surfaced in week one. Non-brand organic 3×'d by month seven, and we finally showed up in ChatGPT for our core category."
Non-brand organic in 7 months
MH-1 client cohort · 2024Citation share · organic traffic, same window
60-day window · MH-1 client cohortPipeline attributed to AEO traffic
Q4 board readout · MH-1 clientFirst deliverable in week one. You decide month two. Two-week sprints from there, with shipping volume that scales as the surface compounds.
A week-one diagnostic across every AI search and Google. We name the gaps, score the value, and rank what to ship first.
Pillar articles for the queries that anchor your category, plus programmatic pages for the long tail. Senior review on every batch.
Existing pages get schema, citations, and entity structure tightened. Decay alerts catch any page that slips.
Each sprint stacks on the last. Surface area grows, monitoring widens, the system learns where you win.
An expert SEO marketer alone costs $180K+ loaded. Agencies charge $10–20K a month before content. We ship the strategist, the pipeline, and the content for $5K flat.
Showing MH-1 column on mobile. View on desktop for full matrix.
* Agency and in-house pricing excludes writer, editor, and content production costs. MH-1 pricing is all-in: strategy, pipeline, and content included.
A senior strategist + the production pipeline + uncapped content output. Pick the module to add AEO/SEO, or the full stack to replace your growth org.
Top-1% SEO marketer + the full pipeline. For teams adding AEO/SEO as a module without rebuilding their growth org.
Module + dedicated CMO + the entire growth team. Full-stack execution for founders without growth infrastructure.
A different machine. Traditional shops sell hours, decks, and a senior name on a slide. The work that matters — continuous citation polling across every model, live gap analysis, briefs and pages generated from the real picture of your category — happens at human speed inside a Google Doc. The AI-first infrastructure underneath every deliverable changes what gets shipped, how fast it ships, and what the dashboard looks like at the end of the quarter. The inputs, outputs, and outcomes all live on a different curve.
A growth system that produces results, with senior experts steering it. The infrastructure does the work a 12-person agency argues about in standups: daily polling, schema, structured briefs, page templating, cited-vs-not deltas, prioritization math. The senior expert is the editor and growth owner. What you feel is the output: more shipped, higher quality, every move tied to a number you care about.
The picture of your category in AI, scored. Citation share across every major model, your rank against the top competitors, the queries you should be winning, every gap mapped to a specific traffic and revenue estimate, a sequenced 30-day plan tied to owners and lift. You leave the audit knowing which moves matter and what the ceiling looks like for the next four quarters.
A measurable lift in citation share over a defined cohort of priority queries, inside a defined window. The system is built to move that number — schema, entity coverage, source-type fit, content depth, all tuned to what the models actually pull. Specific quotes in specific answers sit outside any vendor's control.
Both surfaces grow together. The schema, entities, and source structure that earn AI citations are the same signals Google's index reads. Teams running this system see Google rankings climb in parallel with citation share — one engine, two surfaces.
The first deliverable lands inside week one of kickoff. The first shipped artifacts inside two weeks. The first measurable citation share lift inside 60 days for the priority cohort, on average across our book. After that, the curve accelerates — output, citations, traffic, pipeline all compound month over month.
A 47-page audit. Every finding tied to a specific action, owner, and expected lift. A prioritized roadmap your team could execute Monday.
Citation footprint, gaps, and 90-day roadmap
What a typical month looks like. Four pillars. Seven specialized agents. One forward-deployed expert. Every artifact ships with a 12-trail audit.
Strategist match, audit scope, and a calendar link in your inbox.
Strategist match within 24 hours.