Content kit
Ready-to-post drafts and reply templates for Reddit, X, LinkedIn, Indie Hackers, and HN. Always disclose affiliation when recommending AEOArc. Full mining playbook: /growth/lead-mining.
Most "ChatGPT SEO" screenshots are one lucky run. Run the same prompt 10×. Track mention probability + CI. Then fix crawlers, entities, and cite-worthy pages. Free multi-engine baseline: aeoarc.com/ai-visibility-checker (We built it. No ranking guarantees.)
CTA path: /ai-visibility-checker?utm_source=twitter&utm_medium=social&utm_campaign=content_kit
Before you buy another "AI SEO" platform, ask: 1. Do they sample multiple runs (or one screenshot)? 2. Do they cover ChatGPT + Perplexity + Gemini? 3. Can they show crawler/entity gaps — not just charts? 4. Is publishing approval-gated? 5. Do they refuse ranking guarantees? We publish our own dogfood notes here: aeoarc.com/open-proof Free scan: aeoarc.com/ai-visibility-checker
CTA path: /open-proof?utm_source=linkedin&utm_medium=social&utm_campaign=content_kit
Sharing what moved measurable mention probability for us (not a silver bullet): 1. Unblocked OAI-SearchBot / PerplexityBot where appropriate 2. Tightened Organization + FAQ schema on money pages 3. Rewrote key pages answer-first with citations/stats 4. Published entity-consistent About / product facts 5. Re-scanned with multi-run samples + confidence intervals Happy to answer questions. I work on AEOArc — free scan if you want a baseline, but the checklist above works without our tool.
CTA path: /guides/how-to-improve-ai-visibility?utm_source=reddit&utm_medium=social&utm_campaign=content_kit
indie_hackers
Update: shipping free multi-engine AI visibility scans + public industry benchmarks. What I'm learning: founders care less about "GEO jargon" and more about "why does ChatGPT recommend my competitor?" Free scan + public index if useful — feedback welcome.
CTA path: /ai-visibility-index?utm_source=indiehackers&utm_medium=social&utm_campaign=content_kit
If you sell SEO/content retainers in the US or UK, clients are already asking: "Why does ChatGPT recommend our competitor?" A clean service loop: 1) Multi-engine baseline (not one screenshot) 2) Fix crawlers, entities, cite-worthy pages 3) Re-measure with confidence intervals 4) Deliver weekly proof Free prospect baseline: aeoarc.com/ai-visibility-checker Agency pack: aeoarc.com/go/agencies (I work on AEOArc. No ranking guarantees.)
CTA path: /go/agencies?utm_source=linkedin&utm_medium=social&utm_campaign=icp_geo
B2B SaaS buyers now ask ChatGPT / Perplexity before they ask sales. If your competitor is cited and you are not, that is a pipeline leak — not a "content vanity" problem. Practical stack: • Allow the right AI crawlers • Publish consistent product entity facts • Answer-first pages with sources • Multi-run mention tracking Free baseline: aeoarc.com/ai-visibility-checker Industry page: aeoarc.com/industries/llm-optimization-for-b2b-saas (I work on AEOArc.)
CTA path: /industries/llm-optimization-for-b2b-saas?utm_source=linkedin&utm_medium=social&utm_campaign=icp_geo
For ecommerce brands, AI Overviews / ChatGPT answers often cite review sites and big retailers before the brand site. What we track in practice: 1) Is the brand mentioned at all? 2) Which URLs get cited? 3) Does crawler access / schema / PDP answer structure correlate? Not claiming guarantees — sharing the measurement approach. Free checker: aeoarc.com/ai-visibility-checker Guide: aeoarc.com/guides/ai-overviews-for-ecommerce-brands (I work on AEOArc.)
CTA path: /guides/ai-overviews-for-ecommerce-brands?utm_source=reddit&utm_medium=social&utm_campaign=icp_geo
If GPTBot / OAI-SearchBot / PerplexityBot can't fetch you, AI answers won't cite you. Free robots + bot matrix check: aeoarc.com/tools/ai-crawler-checker (We built it. Pair with a multi-run visibility scan.)
CTA path: /tools/ai-crawler-checker?utm_source=twitter&utm_medium=social&utm_campaign=icp_geo
Agencies: clients increasingly ask "why isn't ChatGPT recommending us?" A practical retainer loop: 1) Multi-engine baseline scan 2) Fix crawlers / entities / cite-worthy pages 3) Re-measure with confidence intervals 4) White-label weekly proof Free baseline for a prospect: aeoarc.com/ai-visibility-checker (I work on AEOArc — no ranking guarantees.)
CTA path: /go/agencies?utm_source=facebook&utm_medium=social&utm_campaign=content_kit
Myth 1: One ChatGPT screenshot = SEO done Myth 2: Keywords alone fix AI answers Myth 3: Blocking AI bots helps you get cited Myth 4: Guarantees are normal Save this. Free multi-engine check → link in bio / aeoarc.com/ai-visibility-checker (Built by AEOArc. Honest sampling > vanity shots.)
CTA path: /ai-visibility-checker?utm_source=instagram&utm_medium=social&utm_campaign=content_kit
tiktok
Hook: "ChatGPT recommends your competitor — here's the 20-second diagnosis." Beat 1: Run the same prompt 5× (mention rate ≠ one lucky answer) Beat 2: Check if AI crawlers can read you Beat 3: Entity + FAQ pages that models can cite CTA: Free scan at aeoarc.com/ai-visibility-checker On-screen text only — I work on AEOArc; no ranking promises.
CTA path: /ai-visibility-checker?utm_source=tiktok&utm_medium=social&utm_campaign=content_kit
quora
Start with measurement, not hacks: 1) Sample the same buyer prompt multiple times across engines 2) Fix technical blockers (crawlers, schema, thin pages) 3) Publish answer-first pages with verifiable facts 4) Re-measure with confidence intervals I work on AEOArc — free baseline: aeoarc.com/ai-visibility-checker. No guaranteed rankings.
CTA path: /ai-visibility-checker?utm_source=quora&utm_medium=social&utm_campaign=content_kit
wikipedia
INTERNAL DRAFT ONLY — do not publish as a Wikipedia edit from a brand account. If AEOArc ever warrants an article, a neutral editor must write it with independent secondary sources. Allowed actions: improve third-party reliable sources, answer press FAQs, publish methodology. Never: paid socks, promotional articles, or automated wiki edits.
CTA path: /methodology?utm_source=wikipedia&utm_medium=research&utm_campaign=coi_safe
That's a common pattern — answer engines lean on entities, third-party mentions, and crawlable proof more than classic keyword density. Quick diagnostic (no tools required): 1. Ask the same prompt 5–10 times and note mention rate (single runs are noisy). 2. Check whether GPTBot / OAI-SearchBot / PerplexityBot are allowed in robots.txt. 3. Compare your entity clarity (About, Organization schema, consistent NAP) vs the competitor. If you want a structured baseline, we built a free multi-engine scan at aeoarc.com/ai-visibility-checker — I'm on the team, so take the recommendation with that disclosure. It won't guarantee rankings; it measures mention probability with confidence intervals.
Free AI visibility scan: /ai-visibility-checker?utm_source=reddit&utm_medium=organic&utm_campaign=lead_mine
Depends what you need: - **Measure**: multi-engine mention/citation tracking with confidence intervals - **Diagnose**: crawler access, chunk readiness, entity gaps - **Execute**: page/schema publishing with human approval (not black-box "AI SEO magic") I work on AEOArc — free scan is enough to see if you're invisible vs a competitor. For agencies, white-label client reports matter more than another dashboard. Happy to answer specifics either way.
Compare AI visibility tools: /compare?utm_source=reddit&utm_medium=organic&utm_campaign=lead_mine
AI Overviews / ChatGPT answers reward cite-worthy entities + clear answer chunks more than classic SERP tricks. Worth checking: bot access, Organization/FAQ schema, and whether you even appear in 10-run samples. Free multi-engine baseline → aeoarc.com/ai-visibility-checker (I build it — disclosure). No ranking guarantees.
Run free scan: /ai-visibility-checker?utm_source=twitter&utm_medium=organic&utm_campaign=lead_mine
Agencies that win AI-search retainers usually productize three deliverables: 1. Baseline mention probability across ChatGPT / Perplexity / Gemini 2. Crawler + entity + content gap report clients can understand 3. Approved publish loop (pages/schema) with before/after proof If useful: free scan + sample report at aeoarc.com — I work on the product. We don't promise rankings; we measure signals and ship fixes with approval gates.
Agency overview: /agencies?utm_source=linkedin&utm_medium=organic&utm_campaign=lead_mine
hacker_news
llms.txt is still optional signal — treat it like documentation for models, not a ranking cheat code. Bigger levers in practice: allowlist the right bots, publish consistent entity data, and structure pages so answer engines can extract claims with sources. We open-source our measurement caveats at /methodology and dogfood publicly at /open-proof. (I work on AEOArc.)
Methodology: /methodology?utm_source=hn&utm_medium=organic&utm_campaign=lead_mine
AI visibility scores and recommendations are generated from automated prompts and third-party AI models. Results may vary by engine, region, and time. AEOArc does not guarantee search rankings, traffic, or revenue outcomes. Reports are for informational purposes and should not be considered legal, financial, or professional advice. By using our free scan you consent to receive your report via email.
