Answer Engine Optimization Consultant
— before your competitors own the answer
Your buyers are asking ChatGPT, Perplexity, and Gemini for tool recommendations right now. Most SaaS companies aren't in those answers. I get you cited — in 60 days.
You rank on Google. You're invisible on AI.
The way your buyers discover SaaS tools changed — and most SEO consultants and agencies are still running a 2022 playbook. Answer engine optimization isn't an add-on to SEO. It's a separate discipline. Here's what that means for each type of founder reading this page.
Your last agency never touched your AI search presence.
They built backlinks, wrote blog posts, reported on DR and keyword rankings. Nobody queried ChatGPT or Perplexity on your behalf — because they didn't know how to measure it or fix it.
Result: zero LLM citations after months of spendRising CAC isn't solved by moving to organic alone.
If your buyer's first stop is ChatGPT, and ChatGPT recommends a competitor, that organic traffic channel you just invested in still doesn't close. You need AI search presence from day one.
50% of B2B buyers now start research in an AI chatbotPublishing content without answer architecture doesn't get cited.
LLMs don't rank pages — they extract answers. If your content isn't structured for extraction, it gets passed over regardless of your word count, backlink count, or time on page.
80% of ChatGPT citations don't rank in Google's top 100First-mover advantage in AI citation is real and compounding.
The brands earning LLM citations in 2025 are building a moat that compounds. Competitors who establish answer engine visibility first control the narrative when a buyer asks which tool to use.
LLM visitors convert 4.4× better than Google organicIf one of these is you, keep reading
I work with three types of B2B SaaS founders. Each needs answer engine optimization for a different reason. Identify yours — the rest of this page speaks directly to it.
"I paid an agency $1,200/month for 6 months and got zero demos from SEO."
Monthly PDFs full of keyword rankings. No pipeline. No explanation of the gap. You're not anti-SEO — you're done paying for work you can't trace to revenue.
"My Google Ads CAC went from $180 to $320 in 18 months. I need a new channel."
You know organic compounds where ads stop. But switching mid-growth terrifies you without a clear plan. Answer engine optimization is where that new channel lives.
"30 blog posts published. Traffic stuck at 400/month for a year. Something's wrong."
You know enough SEO to ship content. But you're not getting cited in AI answers, and you suspect the problem is structural — not volume. You're right.
If any one of those three sounds like your situation right now — I offer a free 20-min answer engine optimization teardown for B2B SaaS founders. I'll pull your current AI visibility data live on the call. No pitch, no deck.
I have capacity for 2 new clients this month.
AEO and GEO — two systems, one outcome
Answer engine optimization (AEO) and generative engine optimization (GEO) are not two names for the same thing. They target different layers of how AI platforms discover and recommend your SaaS.
Structured to be extracted
The short answer: AEO is the discipline of structuring your content so AI systems can pull direct, citable answers from it — and choose your brand over a competitor.
When a buyer types "what's the best [tool category] for [use case]?" into Google AI Overviews or Bing Copilot, AEO determines whether your page gets cited or passed over entirely.
- Google AI Overviews & AI Mode optimization
- Featured snippets & People Also Ask targeting
- FAQ, HowTo, and Service schema markup
- Answer-first content architecture
- Bing Copilot answer inclusion
Built to be cited by LLMs
The short answer: GEO builds the off-site citation footprint — brand mentions, third-party references, entity signals — that LLMs pull from when generating recommendations.
ChatGPT and Perplexity don't crawl your site in real time. They trust sources their training data taught them to recognize as authoritative. GEO builds that recognition signal.
- ChatGPT & GPT-4 citation signal building
- Perplexity source indexing
- Claude & Gemini brand recognition
- Wikidata entity & Knowledge Graph setup
- Third-party citation footprint building
The Spaceload AEO/GEO Framework
Five sequenced steps built specifically for B2B SaaS at $1M–$10M ARR. Not a checklist I run on autopilot — a structured system where each step informs the next. No generic agency methodology.
AI Visibility Audit
I query all five LLMs with 20–30 buyer-intent questions in your specific SaaS category and map exactly where your brand appears, where competitors appear, and which sources those LLMs are pulling from. You see the full gap — before I touch a single page on your site. This is the baseline every answer engine optimization engagement needs.
Week 1–2Citation Source Reverse-Engineering
Which domains is ChatGPT citing for your category right now? I reverse-engineer the top-cited sources, analyze their content structure and schema signals, and produce a gap map showing exactly what your site is missing — and what's achievable in the 60-day pilot window.
Week 2–3Answer Architecture Rebuild
I restructure your high-value existing pages and create new content using answer-first formatting: direct definitions in the first 100 words, numbered processes, FAQ schema markup, and structured data layers. Every page built to be extracted by an AI answer engine, not just read by a human who landed from Google.
Week 3–6Entity & Citation Footprint
LLMs trust brands they see mentioned consistently across authoritative third-party sources. I build the citation footprint — Wikidata entity setup, industry publication mentions, structured directory listings — that signals "this brand is real and trusted" to ChatGPT, Perplexity, Claude, and Gemini. This is the GEO layer that most answer engine optimization services skip entirely.
Week 4–8LLM Citation Monitoring & Iteration
Weekly tracking across all five platforms. Monthly report shows which LLMs are recommending your brand, for which queries, and how the trend line is moving. When a citation drops or a competitor gains ground, I find the mechanism and act on it the same week — not in next quarter's strategy review.
OngoingDeliverables, not decks
Here's exactly what I produce each month. No vague "strategy documentation." Every item below is a concrete output you can see, review, and hold me accountable to.
🔍 Audit & Research
- AI Visibility Audit report (5 LLMs, 20–30 queries)
- Competitor citation source map
- Content gap analysis vs top-cited pages
- Schema markup opportunity list by page
- Entity & Knowledge Graph gap report
✍️ Content & Structure
- Answer-architecture rewrites — up to 8 pages/month
- FAQ schema implementation on priority pages
- 2–4 new AEO-first content pages per month
- Internal linking update for LLM crawl paths
- Service & HowTo schema markup
🏗️ Authority & Entity
- Wikidata entity creation & verification
- Google Knowledge Panel optimization
- Third-party citation building (10–15 sources/month)
- Author entity markup & E-E-A-T signals
- Industry publication mention outreach
📊 Tracking & Reports
- Weekly LLM citation tracking across all 5 platforms
- Monthly AEO/GEO performance report
- Google AI Overview inclusion monitoring
- Competitor citation share-of-voice tracking
- Async Slack/email access — me, not a PM
Why hire a generative engine optimization consultant — not an agency
I audited Embarque, Taylor Scher, and First Page Sage before building this service. Here's what I found. One honest concession included — Taylor Scher is the closest to what Spaceload offers on solo positioning.
| What matters to SaaS founders | Embarque | Taylor Scher | First Page Sage | Spaceload |
|---|---|---|---|---|
| SaaS-stage specific ($1M–$10M ARR) | ✗ Generic "growing companies" | ✗ Broad startup / B2B | ✗ Enterprise-focused | ✓ Named in every step of the framework |
| Solo consultant — no handoff | ✗ Agency team model | ✓ Solo — genuinely similar | ✗ Large agency | ✓ I run every audit and write every page |
| All 5 LLMs tracked | ✗ ChatGPT + Perplexity only | ✗ Monitoring, no optimization | ✗ Google AI + ChatGPT only | ✓ ChatGPT, Perplexity, Gemini, Claude, Bing |
| Revenue outcomes (demos, trials, pipeline) | ✗ Traffic and citation volume | ✗ Traffic and rankings | ✗ Thought leadership focus | ✓ Demo bookings and trial signups — not vanity |
| Named, documented framework | ✗ Vague methodology | ✗ General 4-step process | ✗ Process not disclosed | ✓ 5-step AEO/GEO Framework shown above |
| 60-day pilot with clean exit | ✗ Monthly subscription model | ✗ Ongoing retainer | ✗ Long-term engagement only | ✓ 60-day pilot, month-to-month after |
Real numbers from real SaaS clients
No mock-ups. No invented stats. These are the results I've delivered — and the numbers I hold every new answer engine optimization engagement to as a benchmark.
Clone app development platform. Organic sessions grew from 2,400 to 4,600 — a 92% increase — through topical authority and LLM-ready content architecture rebuilt from scratch.
From 30 organic visits to 129. From zero keyword rankings to 350. In 60 days. The answer architecture layer is now being built on top of this organic foundation.
Built the entire organic channel from zero to 85+ clicks and 60+ orders per month — no paid ads. Content structured for both Google extraction and AI referral simultaneously.
A recent result
30 → 129 organic visits.
0 → 350 keyword rankings.
60 days. US workforce SaaS.
That same site is now in the answer engine optimization phase — building LLM citation signals on top of the organic foundation. If your situation looks similar, the process is the same.
See if we're a fit — book 20 min →This is for you — and this isn't
I take on a small number of clients at a time. Being specific about fit means neither of us wastes 60 days on a bad engagement.
Right fit if…
- B2B SaaS company at $1M–$10M ARR
- Want organic traffic tied to demos and trial signups — not traffic vanity
- Burned by an agency, stuck on a DIY plateau, or migrating from paid ads
- Can commit to a 60-day pilot with a clear go/no-go decision point
- Want AI search visibility before your direct competitors establish it
- Want the person doing the work — not a project manager relaying to a junior
Not the right fit if…
- Need a 15-person agency with dedicated specialists per discipline
- Pre-revenue or under $500K ARR — answer engine optimization ROI doesn't land yet
- Need visible results in under 30 days — LLM citation signals take time to compound
- In e-commerce, local services, or consumer apps — outside my domain
- Need PPC, paid social, or outbound managed alongside SEO
- Want a 12-month locked contract before any proof of performance
Questions founders ask before the call
Ready to become the answer AI recommends?
I have capacity for 2 new clients this month. Book a 20-minute call — I'll pull your current answer engine optimization visibility data live and show you exactly where the gaps are against your competitors.
Book a Free 20-min Audit →