The deep-dive on AEO, the 5–10 SEO tools + 5–10 AEO tools we can offer, how we prove it works, and the reframed site.
gmmm.io becomes a focused SEO + AEO business: a free audit pulls people in, and a stack of productized agent-run tools + done-for-you fixes does the work — measured by a re-audit so we can prove the score moved.
gmmm.io stops being a multi-service umbrella. Everything else (legal intake, API/MCP, data, bespoke automation, reports) comes off the site and parks under the umbrella for later. gmmm.io's entire story is now SEO + AEO:
Two revenue shapes from one funnel: done-for-you (higher ticket, our agents do it) and self-serve tools (recurring, agents run them at near-zero marginal cost). The audit is the front door and the measuring instrument — which is what makes the proof loop possible.
AEO (Answer Engine Optimization) / GEO (Generative Engine Optimization) = getting cited or named by AI answer engines: ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot. It is not a separate magic discipline — it's SEO fundamentals + a handful of genuinely new levers. Here's the real stack, ranked by evidence.
You said it felt "basically a robots.txt for LLMs" and too basic to be the whole game. It's actually worse than basic — it's currently inert. Studies across 500+ sites show ~zero correlation with citations, and the major engines (Google, OpenAI, Anthropic) have ~0% voluntary compliance 18 months in. We implement it as a 20-minute housekeeping task and we never sell it or lean on it.
| Lever | What it means | Evidence |
|---|---|---|
| Earned third-party mentions #1 lever | Getting named on sites the engines trust: Reddit, YouTube, G2/Capterra, trade press, Wikipedia. NOT your own blog. | ~85% of AI brand mentions come from third-party pages (Profound, 680M citations). ChatGPT/Claude: 93%+ from earned media. |
| YouTube presence | Brand in video titles + transcripts. Your own channel — zero spam risk. | Strongest single signal: 0.737 correlation with AI-Overview visibility (Ahrefs, 75k brands). |
| Fact-dense content | Statistics, inline citations, named expert quotes — content that itself shows rigour. | +41% citation lift from adding statistics (Princeton GEO study, KDD 2024). |
| Structured data / schema | JSON-LD: FAQPage, HowTo, Article, Organization, SpeakableSpecification. | 65–71% of AI-cited pages carry schema; FAQPage ≈ +40% citation weighting in ChatGPT. |
| Entity / Knowledge Graph | Wikidata entry + Organization schema with sameAs links. If you're not an "entity," you're invisible to Gemini. | Gemini trains on the Knowledge Graph; mechanism well-documented, hugely underdone by brands. |
| Reviews / listings | Active G2 / Capterra / Trustpilot / Google Business profiles. You earn reviews, you don't post. | Active G2/Capterra profiles ≈ 3× higher ChatGPT citation rate. |
| Query-fan-out coverage | Front-load the answer in the first 40–60 words; cover sub-questions / FAQs / topic clusters. | ~68% of AI-Mode-cited pages sit outside the organic top-10 — citations decouple from rank. |
| Technical hygiene | Crawlable, fast, indexable, AI-crawlers allowed. Prerequisite, not a differentiator. | If it's not retrievable it can't be cited. Table stakes. |
A single strategy misses 2/3 of the market — each engine pulls from a different pool:
| Engine | Pulls most from |
|---|---|
| ChatGPT | Wikipedia (≈48% of its top citations) + Bing index + G2. Authority signals. |
| Perplexity | Reddit (#1), YouTube, Gartner — recency + community. Cites ~22 sources/answer. |
| Google AI Overviews | YouTube, Wikipedia, Reddit + the Knowledge Graph. Entity-driven. |
| Gemini | Knowledge Graph hardest of all → Wikidata/Wikipedia pays off most here. |
| Tactic | Verdict |
|---|---|
| Statistics + citations + expert quotes in content | PROVEN Princeton, +41% |
| YouTube transcripts / earned media / reviews / Wikidata | PROVEN strongest, most underdone |
| FAQ/HowTo schema | PROVEN (correlational) do it |
| llms.txt as a near-term lever | HYPE (inert) 20-min housekeeping only |
| Scaled AI content generation | HARMFUL Google flags it; rankings drop |
| "Guaranteed AI rankings" | IMPOSSIBLE citations are nondeterministic |
| "Entity stuffing" / "semantic chunking" as products | REBRANDED SEO billing fluff |
You're exactly right that the re-audit must show improvement. The catch: different things improve at very different speeds. Collapsing them into one "before/after in two weeks" number is precisely what destroys agency credibility. So we make the proof three explicit tiers, each honest about its clock.
A binary technical checklist, every item API-verified before & after. Proves the work was done correctly (not that rank moved).
Automated weekly pulls showing trends, not snapshots: GSC impressions rising, target-keyword average position (7-day rolling), CrUX real-user data, and an AEO share-of-voice baseline (brand mention rate across a fixed prompt set, 3–5 runs each, weekly). Honest line: "Google is re-evaluating you + AI engines are being queried — not yet outcome proof."
Actual rank position (DataForSEO ≈ $18/mo for 1,000 daily keywords, or GSC free) + organic clicks + AI-citation share. Caveat we state up front: AI citations have 40–59% monthly churn regardless of optimization → needs an 8–12 week baseline before and after to read signal over noise.
This honesty is itself the differentiator. It also means the dogfood works as the demo: gmmm.io's own Tier-1 score jumps from ~nothing (it was an empty parked domain last night) to textbook-clean immediately — a real before/after on our own front door — while Tiers 2–3 accrue over the coming weeks for us to point at.
Filtered hard for white space + our agent edge. I cut the saturated categories (standalone keyword research, rank tracking, content-brief scorers — Semrush/Ahrefs/Surfer own those with 10-year moats). Each below names the real competitors and an honest saturation verdict. The pattern that survives: the action/fix layer and recurring bespoke work, not "upload X → static report Y."
(Also viable, lower priority: white-label SEO reporting with an AI-written plain-English narrative — tools dashboard, nobody narrates well.)
Younger category, less saturated — but most existing tools (Profound $499/mo, Otterly $29–489, Peec, Scrunch $250+) only monitor: they tell you you're invisible and stop. The white space is the action layer. Some of these we build; some are service-shaped; a couple we may just integrate.
(Bundled-free housekeeping, never sold standalone: llms.txt + AI-crawler access setup. Assistive + human-in-loop, never automated: authentic Reddit/Quora participation — see §6 for why automation here is a trap.)
You spotted the right thing: third-party presence is the lever, so helping clients show up across platforms is genuinely central. But there's one fork that matters — and it's the same wall we already agreed to avoid with the Reddit affiliate bot.
A generic "manage accounts + auto-post" tool lands mostly in Bucket A — but the citations live in Bucket B. So it would be (a) saturated (Buffer/Hootsuite own it), (b) only weakly tied to AI citations, and (c) on the highest-citation community platform, auto-posting promo gets you banned — the exact ToS/astroturf wall we already rejected.
Stripped to one story. The page flow:
On your "$5 / 30 articles" idea specifically: the research is blunt — at that price you're under SEOwriting's 50-articles-for-$14 and competing with a dozen funded tools, with no loyalty and a product Google now penalizes. It's not a business, it's trial bait. Flip it to outcome pricing (SEO tool #7): sell "this cluster, ranking," not "30 articles." Same agents, defensible margin, no race to the floor.
The no-list is as important as the yes-list — it's what keeps the brand trustworthy in a field full of snake-oil (and it's your own no-slop rule):
Sequence, don't stack. My suggested order (for us to decide together):
The slow truth holds: SEO/AEO is a months-to-rank game, so early clients still need direct outreach / your network / the audit as the front door — the engine compounds behind that, it isn't the week-1 customer tap.