Library

The open AEO library.

Every guide we publish on Answer Engine Optimization, AI Visibility, and Generative Engine Optimization. Pillars are 3,500+ word definitive references. Supporting articles unpack specific signals. All free. The methodology is the product.

Tool comparisons
Supporting
Aug 22, 2026
10 min read
Evertune vs Profound vs Frase vs AIClicks: head-to-head breakdown
Profound and Evertune lead on enterprise scale, Frase on content workflow, AIClicks on entry price. A third-party head-to-head with published pricing, funding, and model coverage for each, because every vendor's own comparison favors itself.
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Tool comparisons
Supporting
Aug 21, 2026
9 min read
Answer engine optimization tools: feature & pricing matrix
Published AEO pricing runs $39–$800/month. A sourced matrix comparing Profound, Evertune, AIClicks, Frase, and Data for AI Search on price, model coverage, sampling methodology, and measure-only vs measure-plus-work.
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Tool comparisons
Supporting
Aug 21, 2026
10 min read
AI visibility tools buyer's guide by budget and use case
"Best AI visibility tool" has no single answer. Segmented by budget ($39–$800/month) and company size, solo, SMB, mid-market, agency, enterprise, with current sourced pricing and the measure-only vs measure-plus-work question.
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Tool comparisons
Supporting
Aug 22, 2026
8 min read
AI visibility & AEO tools FAQ: setup, pricing, and data sources
What AI visibility / AEO tools measure, how their methodologies differ, what they cost ($59–$800/month), how they get their data, and how a tracker differs from a system that moves the number. Sourced, verifiable answers.
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Foundations
Pillar guide
Aug 22, 2026
7 min read
AI visibility trackers vs. a system that gets you cited
A prompt-check tracker is a thermometer: it reads the number, it doesn't move it. What actually moves AI citation, competitor mapping, off-site authority, extractable content, entity signals, is the expensive part cheap monitors skip.
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Industry guides
Pillar guide
Aug 20, 2026
14 min read
AI Visibility for luxury real estate agents
Pattern A2 + brand mention engineering + NAP cleanup. The Westside LA broker case study (44/100 baseline) demonstrates the typical pattern + 30-day remediation lift.
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Industry guides
Supporting
Aug 20, 2026
13 min read
AI Visibility for real estate brokerages
Brand-level + office-level hybrid entity strategy. Trade press mention engineering (WSJ, Real Estate Forum, Inman). Quarterly market reports as durable citation moat.
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Industry guides
Supporting
Aug 19, 2026
11 min read
Pattern A2 directories for real estate: the complete current roster
The complete current roster in citation-frequency order. 30-day priority claim sequence. FastExpert Pro tier rationale + HomeLight invite process + LuxuryRealEstate.com membership for luxury brokers.
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Industry guides
Pillar guide
Aug 19, 2026
13 min read
AI Visibility for painting contractors
The local-services Pattern A2 roster + GBP completeness + brand mention engineering through trade press. One San Diego contractor: 55/100 baseline, +15-20 point lift projected in 30 days.
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Industry guides
Supporting
Aug 18, 2026
11 min read
Pattern A2 directories for local services: the complete current roster
The stable home-services directory roster across painting, restoration, roofing, HVAC, plumbing, electrical. GBP-first priority. Angi/HomeAdvisor as separate slots. Houzz for residential interior. Thumbtack for lower-price-point.
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Industry guides
Supporting
Aug 18, 2026
12 min read
AI Visibility for restoration contractors
Emergency-intent queries route differently. 24/7 availability signaling is dimension-defining. Insurance carrier preferred-network status produces sustained authority signal. IICRC certification + RestorationLocal directory + carrier networks.
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Tool comparisons
Supporting
Aug 17, 2026
11 min read
Data for AI Search vs Profound: how do they compare?
Profound vs Data for AI Search. Profound removed its self-serve tiers in September 2026 and sells to brands by quote; the other difference is proprietary black-box scoring vs a published, verifiable methodology. Which fits which buyer profile.
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Tool comparisons
Supporting
Aug 15, 2026
10 min read
Data for AI Search vs Athena HQ: how do they compare?
Enterprise martech integration vs published methodology. Salesforce/HubSpot/Marketo connectors vs self-contained dashboard. Continuous monitoring vs on-demand audit. Which fits which buyer profile.
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Tool comparisons
Supporting
Aug 15, 2026
9 min read
Data for AI Search vs ScrunchAI: how do they compare?
ScrunchAI vs Data for AI Search. CMS workflow integration vs published methodology. Article-level optimization focus vs full-stack methodology coverage. Both serve mid-market budgets.
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Tool comparisons
Supporting
Aug 14, 2026
9 min read
Data for AI Search vs Otterly and Peec AI: how do they compare?
Otterly + Peec are lightweight monitoring. Data for AI Search adds methodology depth + 40-Point Standard + per-vertical playbooks at similar pricing. SMB buyers wanting only monitoring vs SMB buyers wanting infrastructure.
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Tool comparisons
Supporting
Sep 26, 2026
9 min read
Profound alternatives in 2026: seven AI visibility tools compared on price and coverage
Profound now sells brands a 7-day trial or a quoted Enterprise plan. Seven alternatives from $29 to $800 a month, with the prompt limits and engine lists each vendor prints, and a buyer matrix for which one fits.
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Tool comparisons
Supporting
Sep 26, 2026
9 min read
Peec AI vs Otterly: which AI visibility tracker fits under $500 a month?
Peec AI from $95 for 50 prompts on 3 models; Otterly from $29 for 15 prompts on 4 engines with Claude, Gemini and AI Mode as add-ons. Peec is cheaper per answer, Otterly cheaper per prompt at the top. Neither does the citation work.
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Tool comparisons
Pillar guide
Aug 13, 2026
14 min read
The best AI Visibility tools in 2026: structured buyer guide
Six platforms compared on published price and engine coverage, sourced to each vendor. Plus the log no vendor prints: 30 days of our own AI referrals, 52 visits, 50 from ChatGPT, 0 leads. Evaluation procedure and buyer matrix.
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Original data & reports
Pillar guide
Aug 12, 2026
13 min read
The 2026 State of AI Visibility Index
Inaugural annual reference. 7 cross-vertical findings (brand mention frequency is #1 predictor; Two-Track Law holds; Cloudflare WAF blocks 30-40% of audited brands). Per-vertical breakdowns for RE, local services, B2B SaaS, healthcare, legal, more.
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Original data & reports
Supporting
Aug 11, 2026
10 min read
The Quarterly AI Citation Drift Report methodology
Quarterly drift reports track per-platform citation pattern shifts. Methodology + data collection procedure + editorial format. Distinguishing platform-driven change from brand-driven change.
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Original data & reports
Supporting
Aug 10, 2026
11 min read
Industry benchmarks for AI Visibility: per-vertical baselines
Median composite scores by vertical (40-60 typical). Top quartile + top decile thresholds. Cross-vertical median: 45-55/100. Under-engineered verticals (CPAs, insurance) offer asymmetric opportunity.
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Content citation geometry
Pillar guide
Aug 8, 2026
15 min read
The 40-Point AEO Content Geometry Standard
10 dimensions, 100 points, 80/100 publishing gate. The article-level rubric that recursive-aeo Phase 4 uses and that Check 5 of the 10-Point AI Citation Framework references. Complete scoring procedure + worked example from /learn/what-is-aeo.
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Content citation geometry
Supporting
Aug 7, 2026
13 min read
How to write content that ChatGPT will cite: the practical authoring playbook
Five structural patterns engineer ChatGPT citation. Author from outline. Self-audit at draft. Publishing gate at 80/100. The systematic procedure for authoring 85-95 scoring content on first draft.
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Content citation geometry
Supporting
Aug 5, 2026
10 min read
Question-format H2s: why AI assistants prefer them
A higher AI citation rate than statement H2s in our audits. The mechanic: AI assistants extract passages following question headings preferentially because the structure mirrors their own generative output. Phrasing rules + refactor procedure.
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Content citation geometry
Supporting
Aug 4, 2026
11 min read
Named entity density: how much is enough
≥15 unique named entities per pillar, ≥10 per supporting. People, brands, places, dated statistics, products. AI assistants prefer specific over generic. Six strategies for engineering density during authoring without padding.
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Content citation geometry
Supporting
Aug 3, 2026
10 min read
The 134-167 word extractable passage rule
The empirical sweet spot for opening passages. Above 200 triggers summarization; below 100 lacks context. Four-sentence structural pattern: definitional answer + elaboration + sourced stat + structure preview. Tuning procedure for fitting any topic.
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Content citation geometry
Supporting
Aug 1, 2026
11 min read
Source links and date stamps: the AI parser trust signal
Every numerical claim needs a date AND inline hyperlinked source URL. AI assistants increasingly weight claim verifiability. Pattern: [publication + date](https://source-url). Retrofit procedure for existing articles + quarterly link audit cadence.
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Brand entity & Knowledge Graph
Pillar guide
Jul 31, 2026
16 min read
The Pattern A2 directory playbook: which directories AI assistants cite by vertical
ChatGPT cites a small stable preferred roster of 4-7 vertical directories per category. Brands absent from their A2 directories are systematically undercited. Complete vertical reference + 4-week claim playbook.
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Brand entity & Knowledge Graph
Pillar guide
Jul 29, 2026
15 min read
Brand mention frequency: the #1 predictor of AI citation
Branded web mentions correlate with AI visibility at 0.66 to 0.71 in Ahrefs' 75,000-brand study. Stronger than backlinks. Source-tier weighting: Forbes 3x, trade pubs 1.5x, HARO 1x, directories 0.25x. Four-tactic mention engineering playbook compounds over 90-180 days.
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Brand entity & Knowledge Graph
Pillar guide
Jul 27, 2026
14 min read
Wikipedia and Wikidata for brand entities: the complete guide
Wikidata first, Wikipedia later. Wikidata accepts entries that Wikipedia would delete. Both feed Google's Knowledge Graph and produce entity-confirmation signal across Perplexity, Gemini, ChatGPT, and Claude. Submission procedure + survival tactics.
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Brand entity & Knowledge Graph
Supporting
Jul 25, 2026
12 min read
Google Knowledge Graph eligibility for businesses
Knowledge Graph imports from Wikidata, Wikipedia, GBP, schema, and authoritative third-party databases. Eligibility produces 4-8 points entity-signal lift on Gemini + 2-4 points cross-platform. 60-180 day systematic engineering playbook.
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Brand entity & Knowledge Graph
Supporting
Jul 24, 2026
13 min read
NAP consistency and split-brain: how entity ambiguity destroys AI citation
Inconsistent NAP triggers split-brain entity confusion. Former-partner names, stale brokerage profiles, duplicate directory listings each create entity ambiguity that caps Check 6 of the framework at 4/10 max. Same-week cleanup procedure + maintenance cadence.
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Technical AI-readiness
Pillar guide
Jul 22, 2026
14 min read
The AI bot robots.txt complete guide for 2026
13 AI bot user agents matter for citation in 2026. A robots.txt block on the crawler an assistant answers from takes the site out of its answers. A blocked training crawler is a choice with a cost. Gold-standard explicit-allow pattern + same-day verification.
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Technical AI-readiness
Pillar guide
Jul 20, 2026
15 min read
Schema markup for AI search: Organization, FAQPage, Article, LocalBusiness
Six Schema.org types account for 90% of schema-related citation lift in 2026. Site-wide schema rollout, typically a one-day project, lifts Check 4 scores 4-7 points within 30-45 days. Gemini weights schema validation heavily because it operates atop Google's parsers.
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Technical AI-readiness
Supporting
Jul 18, 2026
11 min read
The Cloudflare GPTBot trap (and how to fix it)
A common audit finding: the firewall refuses AI crawlers while robots.txt allows them. Cloudflare's managed robots.txt blocks training crawlers and the Google-Extended token when switched on. 10-minute fix in the dashboard.
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Technical AI-readiness
Supporting
Jul 16, 2026
10 min read
AI bot User-Agent reference: every crawler that matters in 2026
13 AI bot user agents account for AI bot traffic that affects citation in 2026. Each has distinct purpose (training-data ingestion, real-time retrieval, image indexing) and owner. Reference table + per-user-agent detail + gold-standard explicit-allow robots.txt.
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Technical AI-readiness
Supporting
Jul 15, 2026
11 min read
llms.txt complete guide for 2026: does it actually work?
llms.txt has meaningful adoption in developer tooling (Cursor, Continue, Cline, MCP servers) but near-zero adoption in consumer AI search. SE Ranking's study of nearly 300,000 domains found no measurable effect on citation rates. Ship it if your audience uses IDE agents; skip it otherwise.
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Per-LLM optimization
Pillar guide
Jul 13, 2026
16 min read
How to get cited by ChatGPT: the complete optimization guide
ChatGPT handled 2.5 billion prompts a day as of July 2025. Branded web mentions correlate with AI visibility at 0.66 to 0.71 (Ahrefs, 75,000 brands). Pattern A2 directory presence dominates citation behavior. Cited pages rank at position 21 or lower almost 90% of the time (Semrush, July 2025).
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Per-LLM optimization
Pillar guide
Jul 10, 2026
14 min read
How to get cited by Perplexity: the complete optimization guide
Perplexity treats every query as retrieval-then-synthesize, attaching inline citations to every claim. Entity confirmation dominates: NAP consistency, Wikidata, Knowledge Graph, recency. Faster-moving than ChatGPT but stricter on entity disambiguation.
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Per-LLM optimization
Pillar guide
Jul 10, 2026
15 min read
How to get cited by Claude: the complete optimization guide
Claude prefers longer-form, well-sourced, balanced content with declared Person author entity. Original data publication helps most here. Disproportionately important for B2B technical buyers, adoption skews toward product, engineering, and analyst-led decisions.
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Per-LLM optimization
Pillar guide
Jul 8, 2026
14 min read
How to get cited by Gemini: the complete optimization guide
Gemini is Google ecosystem-dominant. GBP completeness, Wikidata, Knowledge Graph, structured data validation, YouTube activity all carry disproportionate weight. Same engine powers Google AI Overviews, which appeared on 25.11% of the US searches Conductor analyzed in autumn 2025. Track 2 platform.
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Per-LLM optimization
Pillar guide
Jul 8, 2026
12 min read
How to get cited by Grok: the complete optimization guide
Grok weights X (Twitter) presence above all other signals. Verified account, posting cadence, follower network engagement, influencer mentions all carry disproportionate weight. For brands without an X buyer audience, defensible to defer optimization.
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Foundations
Supporting
Jul 6, 2026
13 min read
The Two-Track Law: content vs entity signals in AI citation
ChatGPT and Claude move on content signals. Perplexity and Gemini move on entity signals. Documented across 20+ client audits, running a single-track AEO strategy systematically underperforms on the track you neglect.
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Foundations
Supporting
Jul 3, 2026
14 min read
Pattern A1, A2, and C: the three displacement plays in AI citation
Pattern A is ChatGPT's preferred-roster behavior. A1 is personal-site citation. A2 is vertical directory citation. Pattern C is displacement via engineered pillar content. Most successful AEO programs run all three in parallel, A2 as the foundation, A1 as the long-term ambition, C as the tactical accelerator.
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Foundations
Supporting
Jul 1, 2026
11 min read
Why we removed llms.txt from our AI Visibility methodology
SE Ranking's study of nearly 300,000 domains found no measurable effect of llms.txt on AI citation. Google publicly confirmed they don't read it. We removed it from the scored audit and replaced it with brand mention frequency, the strongest predictor of AI visibility in Ahrefs' 75,000-brand study.
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Foundations
Supporting
Jun 29, 2026
12 min read
SEO vs AEO vs GEO in 2026: where they overlap and where they diverge
Three disciplines, increasingly distinct. Brandlight's chief executive estimates the overlap between top Google links and AI-cited sources fell from about 70% to below 20% (WIRED, October 2025). A brand winning SEO does not necessarily win AEO, and vice versa.
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Foundations
Supporting
Jun 26, 2026
13 min read
How AI assistants decide what to cite: the citation mechanic explained
AI citation is different from search ranking. The signals that determine which brands get named, brand mention density, content citation geometry, source recency, entity disambiguation, overlap with SEO only partially. Here's the citation mechanic across all five major AI assistants.
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Foundations
Pillar guide
Jun 24, 2026
22 min read
The 10-Point AI Citation Framework
Ten checks. Six AI platforms. Every per-platform weight formula published on the report. Brand mention frequency, not backlinks, carries the heaviest non-veto weight, backed by Ahrefs' December 2025 study of 75,000 brands (branded web mentions correlate with AI visibility at 0.66 to 0.71).
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Foundations
Pillar guide
Jun 22, 2026
15 min read
What is GEO? Generative Engine Optimization explained
Generative Engine Optimization is the same discipline as AEO with different framing. The term comes from a November 2023 research paper. By our estimate the signals overlap about 80%. Brandlight's chief executive estimates the overlap between top Google links and AI-cited sources fell from about 70% to below 20% (WIRED, October 2025).
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Foundations
Pillar guide
Jun 22, 2026
18 min read
What is AEO? The complete guide to Answer Engine Optimization
Answer Engine Optimization is the discipline of getting AI assistants to cite your brand. It is structurally different from SEO: the pages ChatGPT search cites rank at position 21 or lower almost 90% of the time (Semrush, July 2025).
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The open AEO library.

Evertune vs Profound vs Frase vs AIClicks: head-to-head breakdown

Answer engine optimization tools: feature & pricing matrix

AI visibility tools buyer's guide by budget and use case

AI visibility & AEO tools FAQ: setup, pricing, and data sources

AI visibility trackers vs. a system that gets you cited

AI Visibility for luxury real estate agents

AI Visibility for real estate brokerages

Pattern A2 directories for real estate: the complete current roster

AI Visibility for painting contractors

Pattern A2 directories for local services: the complete current roster

AI Visibility for restoration contractors

Data for AI Search vs Profound: how do they compare?

Data for AI Search vs Athena HQ: how do they compare?

Data for AI Search vs ScrunchAI: how do they compare?

Data for AI Search vs Otterly and Peec AI: how do they compare?

Profound alternatives in 2026: seven AI visibility tools compared on price and coverage

Peec AI vs Otterly: which AI visibility tracker fits under $500 a month?

The best AI Visibility tools in 2026: structured buyer guide

The 2026 State of AI Visibility Index

The Quarterly AI Citation Drift Report methodology

Industry benchmarks for AI Visibility: per-vertical baselines

The 40-Point AEO Content Geometry Standard

How to write content that ChatGPT will cite: the practical authoring playbook

Question-format H2s: why AI assistants prefer them

Named entity density: how much is enough

The 134-167 word extractable passage rule

Source links and date stamps: the AI parser trust signal

The Pattern A2 directory playbook: which directories AI assistants cite by vertical

Brand mention frequency: the #1 predictor of AI citation

Wikipedia and Wikidata for brand entities: the complete guide

Google Knowledge Graph eligibility for businesses

NAP consistency and split-brain: how entity ambiguity destroys AI citation

The AI bot robots.txt complete guide for 2026

Schema markup for AI search: Organization, FAQPage, Article, LocalBusiness

The Cloudflare GPTBot trap (and how to fix it)

AI bot User-Agent reference: every crawler that matters in 2026

llms.txt complete guide for 2026: does it actually work?

How to get cited by ChatGPT: the complete optimization guide

How to get cited by Perplexity: the complete optimization guide

How to get cited by Claude: the complete optimization guide

How to get cited by Gemini: the complete optimization guide

How to get cited by Grok: the complete optimization guide

The Two-Track Law: content vs entity signals in AI citation

Pattern A1, A2, and C: the three displacement plays in AI citation

Why we removed llms.txt from our AI Visibility methodology

SEO vs AEO vs GEO in 2026: where they overlap and where they diverge

How AI assistants decide what to cite: the citation mechanic explained

The 10-Point AI Citation Framework

What is GEO? Generative Engine Optimization explained

What is AEO? The complete guide to Answer Engine Optimization