Tested & updated 2026-07-07 · honest comparison
Best AEO tools and services for developer-tools companies (2026)
By Logan Adams, Founder Reviewed & updated Measurement-first: figures are median share-of-model with 95% confidence intervals. How we measure.
The real choice set - AI-visibility dashboards AND the done-for-you agencies that actually do the work - compared on the same criteria, with sourced facts and honest drawbacks for every entry, ours included.
Disclosure: Clear Cited runs this page. Our own entry is written in the first person ("we"/"our") so the bias is visible, and every entry - including ours - lists real drawbacks. Facts about other vendors are quoted from their own public materials and dated; we last verified them on 2026-07-07. Verify anything that matters to your decision directly with each vendor.
First fork: a tool, or done-for-you?
This is the real buyer question - and most "best AEO" lists skip it. A dashboard/tool measures your AI visibility; a done-for-you service measures it and does the schema, content and citation work that moves it. A tool tells you you're invisible; it doesn't fix it.
| If you... | Buy this | Why |
|---|---|---|
| have an in-house specialist to act on the data every week | A tool / dashboard | You own the fixing; you just need the measurement and alerts. |
| want it measured and fixed for you, without a $10k/mo agency | A done-for-you service | The work - not the dashboard - is what moves share-of-model. |
| are enterprise with a complex site and a big team | An enterprise tool or agency | Depth and seats matter more than a fixed price; see the enterprise picks below. |
The tools (dashboards that measure your AI visibility)
Profound
Dashboard / tool
An AI-search visibility platform - their positioning: "Optimize Your Brand's Visibility in AI Search" - that tracks and helps improve how a brand appears in AI answer engines.
Pricing: Starter $99/mo (ChatGPT tracking only, billed yearly) / Growth $399/mo (3 answer engines, billed yearly) / Enterprise custom (source, 2026-07-07)
Engines tracked: Up to nine engines on Enterprise - ChatGPT, Perplexity, Claude, Gemini and Grok among them, plus additional AI assistants and Google's AI surfaces; the Starter tier tracks ChatGPT alone and Growth covers three (source, 2026-07-07)
Strengths:
- The broadest engine coverage of the tools compared here (nine engines on Enterprise, including Grok, Meta AI and DeepSeek). (source, 2026-07-07)
- Deep enterprise dataset and features: Prompt Volumes (what people actually ask AI engines), Agent Analytics (AI-bot crawl monitoring) and agent workflows. (source, 2026-07-07)
- The best-funded vendor in the category (a $96M Series C at a $1B valuation, Feb 2026), with enterprise customers including Ramp, US Bank, Indeed, MongoDB and DocuSign. (source, 2026-07-07)
Honest limitations:
- The $99 entry tier is single-engine (ChatGPT only); multi-engine tracking starts at $399/mo and full nine-engine coverage requires custom-priced Enterprise. (source, 2026-07-07)
- Published prices are framed as billed yearly, and the Enterprise tier is demo-gated. (source, 2026-07-07)
- A monitoring and insights platform: it reports and recommends (plus agent credits), but it is not a done-for-you service that implements the fixes on your site. (source, 2026-07-07)
Best for: Enterprise and mid-market teams with an in-house owner for AI visibility who want the deepest dataset in the category.
Peec AI
Dashboard / tool
"AI search analytics for marketing teams" - brand-visibility tracking across AI search platforms with competitive benchmarking and source analysis.
Pricing: Four tiers (Starter / Pro / Advanced / Enterprise), but the exact figures render only client-side on their pricing page - confirm current prices with the vendor; extra AI models beyond a tier's included set are priced extra (source, 2026-07-07)
Engines tracked: ChatGPT, Perplexity and Gemini in the base set, with Claude and other models (DeepSeek, Mistral) available as add-ons, plus AI Overviews / AI Mode and other assistants; base engines vary by tier (source, 2026-07-07)
Strengths:
- Strong traction and social proof: their site cites 2,000+ marketing teams and a 4.9/5 G2 rating, with brands including n8n, Attio and ElevenLabs reported at their Series A. (source, 2026-07-07)
- Agency- and team-friendly workflow: prompt tagging, competitive benchmarking, CSV/Looker Studio export, API access and an MCP server. (source, 2026-07-07)
- Well-funded and fast-growing (a $21M Series A in Nov 2025, led by Singular). (source, 2026-07-07)
Honest limitations:
- Exact prices are not readable from the served pricing page (they render client-side), and the Enterprise tier is talk-to-sales. (source, 2026-07-07)
- Additional AI models beyond a tier's included set cost extra (their pricing page: price reflects one additional model based on the prompts included). (source, 2026-07-07)
- An analytics product: it tracks and benchmarks, but does not implement content or site fixes for you. (source, 2026-07-07)
Best for: Marketing teams and agencies that live in dashboards and want European-built, team-oriented AI-visibility analytics.
Otterly
Dashboard / tool
An AI-search monitoring and optimization platform ("Your Partner for AI Search Monitoring, AEO & GEO") that tracks brand visibility and citations across generative engines.
Pricing: Lite $29/mo (15 prompts) / Standard $189/mo (100 prompts) / Premium $489/mo (400 prompts); ~15% off billed annually; extra engines (Claude, Gemini, AI Mode) are add-ons from $9/mo (source, 2026-07-07)
Engines tracked: ChatGPT, Perplexity, AI Overviews and Microsoft's assistant in base plans; AI Mode, Gemini and Claude are paid add-ons (source, 2026-07-07)
Strengths:
- The lowest published entry price of the tools compared here ($29/mo) with a 7-day, no-credit-card trial. (source, 2026-07-07)
- Externally recognized: a Gartner Cool Vendor for AI in Marketing (2025) and winner of Best AI Search Analytics Software Solution at the European Search Awards 2026. (source, 2026-07-07)
- Unlimited team members on every tier, plus content audits, GEO recommendations and 50+ country support. (source, 2026-07-07)
Honest limitations:
- Base plans include four engines; Gemini, AI Mode and Claude cost extra as add-ons. (source, 2026-07-07)
- Prompt quotas are tight at entry (Lite = 15 prompts; scaling runs $99 per additional 100 prompts). (source, 2026-07-07)
- A monitoring-plus-recommendations tool - it tells you what to fix; the fixing is still yours to do. (source, 2026-07-07)
Best for: Smaller teams and solo marketers who want a low-cost, self-serve entry into AI-search monitoring.
AthenaHQ
Dashboard / tool
"Agents to Win on AI Search" - a GEO/AEO platform to track, monitor and optimize brand visibility across AI engines and LLM apps, with agentic content tooling.
Pricing: Essential free tier / Starter $295/mo (about $252/mo billed annually) / Enterprise custom (source, 2026-07-07)
Engines tracked: ChatGPT and Perplexity on the free tier, along with Gemini and Claude, plus AI Overviews; Grok, additional assistants and AI Mode come in across paid tiers (9+ models) (source, 2026-07-07)
Strengths:
- The only tool compared here with a genuinely free tier (five engines, unlimited members). (source, 2026-07-07)
- Pedigree team and credible backing: founders ex-Google Search / DeepMind, Y Combinator-backed, SOC 2 Type 2 certified. (source, 2026-07-07)
- Goes beyond dashboards toward action: content agents, an Ask Athena copilot and GA4/GSC/Shopify integrations. (source, 2026-07-07)
Honest limitations:
- The earliest-stage vendor of the four (a $2.2M seed round announced 2025). (source, 2026-07-07)
- A large gap between tiers: nothing published between the free tier and $295/mo, and the citation-engine / knowledge-base features are Enterprise-only with unpublished pricing. (source, 2026-07-07)
- Credit-based usage: effective tracking volume depends on consumption, which is harder to compare than per-prompt plans. (source, 2026-07-07)
Best for: Teams that want to trial AI-visibility tracking free before committing, or want agentic content tooling alongside monitoring.
The done-for-you services (agencies that do the work)
The actual substitutes for hiring us - real AEO/GEO agencies serving this buyer today. Strengths from their own materials; limitations are verifiable facts, not invented weaknesses.
Omniscient Digital
Done-for-you service
A B2B SaaS organic-growth agency with a dedicated generative-engine-optimization (GEO) service: citation and competitor analysis, technical evaluation, an optimization roadmap, content production, brand-mention building and ongoing LLM visibility monitoring.
Pricing: Full-service engagements start at $10,000/mo (stated on their GEO services page) (source, 2026-07-07)
Strengths:
- B2B-SaaS-native: founders ex-HubSpot/Shopify/Workato, with clients including Jasper, SAP, Adobe, Asana, Loom and Hotjar. (source, 2026-07-07)
- A dedicated GEO service with published GEO-specific case-study results and stated principles (source-worthy content, entity optimization, citation engineering, technical crawlability). (source, 2026-07-07)
- An early mover on GEO with substantial published research and thought leadership. (source, 2026-07-07)
Honest limitations:
- A high floor: engagements start at $10,000/mo, which excludes smaller SaaS budgets. (source, 2026-07-07)
- A content/SEO-first agency where GEO is one of many services, and most headline case-study metrics are classic-SEO outcomes rather than AI-citation outcomes. (source, 2026-07-07)
- No itemized GEO pricing or tiering published beyond the starting figure. (source, 2026-07-07)
Best for: Well-funded B2B SaaS ready to invest $10k+/mo in a combined SEO + GEO organic-growth program.
Animalz
Done-for-you service
A B2B SaaS content-marketing specialist (since 2015) with a dedicated answer-engine-optimization service: an AI visibility audit, strategy, micro content refreshes, new content, strategic citation outreach and Reddit community engagement.
Pricing: Pricing not published (source, 2026-07-07)
Strengths:
- A pure B2B SaaS content specialist with real developer-tools presence: logos include WorkOS, Auth0, Retool, Airtable and Amplitude. (source, 2026-07-07)
- AEO that covers off-site citation surfaces, not just on-site content: strategic citation outreach and Reddit engagement are part of the service. (source, 2026-07-07)
- Top-tier editorial reputation with published business-outcome case studies (pipeline and MQL growth for SaaS clients). (source, 2026-07-07)
Honest limitations:
- A content-marketing-first agency; SEO/AEO is a newer addition to the core editorial offering. (source, 2026-07-07)
- The AEO service page names no clients or case studies and cites only general market statistics. (source, 2026-07-07)
- No published pricing or minimums. (source, 2026-07-07)
Best for: B2B SaaS and devtools companies that want top-tier editorial content with AEO layered in, rather than a standalone GEO program.
Grizzle
Done-for-you service
A B2B/SaaS content and SEO agency (since 2016) selling "content, GEO, and SEO systems that capture buyers across Google, ChatGPT, YouTube, and whatever comes next" - GEO integrated into a multi-channel organic program.
Pricing: Pricing not published (source, 2026-07-07)
Strengths:
- B2B/SaaS-specific since 2016, with named clients including Pipedrive and Tide and long typical client tenure (about three years, per their own page). (source, 2026-07-07)
- A multi-surface approach (Google, ChatGPT, YouTube, AI Overviews) matching how technical buyers actually discover products. (source, 2026-07-07)
- Full-journey content strategy with digital-PR-driven distribution and mention generation. (source, 2026-07-07)
Honest limitations:
- No dedicated GEO service page - GEO is folded into the broader content/SEO offering rather than sold as a discrete productized service. (source, 2026-07-07)
- No published pricing. (source, 2026-07-07)
- Case-study metrics on the service page are traffic/revenue-framed rather than AI-citation-specific. (source, 2026-07-07)
Best for: B2B SaaS teams that want one agency running content, SEO, GEO and YouTube/digital PR as a single organic program.
First Page Sage
Done-for-you service
A large, long-established SEO firm (San Francisco) with dedicated AEO and GEO services built on a thought-leadership content model: AEO audit, authoritative content creation, technical implementation (schema/structured data) and continuous optimization.
Pricing: Not published for their own services; they publish market fee ranges for GEO work ($2,000-$12,000/mo across tiers, framed as market data), and third-party reporting places their own fees at the premium end with 6-12-month minimums (source, 2026-07-07)
Strengths:
- 15+ years in business, publishing quarterly proprietary AEO/GEO research and benchmark reports - the heaviest public data footprint of the agencies here. (source, 2026-07-07)
- Enterprise client logos including Salesforce, Logitech and U.S. Bancorp. (source, 2026-07-07)
- A documented six-pillar AEO methodology, positioned as an AEO pioneer. (source, 2026-07-07)
Honest limitations:
- No published pricing for their own services; third-party reporting suggests the priciest option in this comparison, with 6-12-month minimum contracts. (source, 2026-07-07)
- A generalist across many industries (consumer, banking, hardware) rather than a SaaS/devtools specialist. (source, 2026-07-07)
- Their own top-agencies article ranks First Page Sage #1 - read their rankings with that in mind. (source, 2026-07-07)
Best for: Enterprise B2B companies where premium executive thought-leadership content is the growth lever and budget is not the constraint.
iPullRank
Done-for-you service
An enterprise SEO agency (NYC) whose GEO offering, branded "Relevance Engineering", combines information retrieval, content strategy, UX, AI, measurement and digital PR for visibility across AI Overviews, ChatGPT, Perplexity and beyond.
Pricing: Pricing not published (source, 2026-07-07)
Strengths:
- The deepest public technical GEO thought leadership of the agencies here - a free 20-chapter AI Search Manual covering query fan-out, embeddings and AI Overviews. (source, 2026-07-07)
- Genuine IR/ML engineering depth (embeddings, semantic intent modeling) rather than content-only GEO. (source, 2026-07-07)
- Enterprise-scale published case work across complex sites. (source, 2026-07-07)
Honest limitations:
- No published pricing; positioning is enterprise/mid-market, likely beyond seed-stage budgets. (source, 2026-07-07)
- Not B2B-SaaS/devtools-specialized; featured case work is in other verticals such as financial services. (source, 2026-07-07)
- GEO is sold under proprietary "Relevance Engineering" branding inside a broader SEO agency, which makes scope comparison against pure GEO offerings harder. (source, 2026-07-07)
Best for: Enterprise and mid-market companies with complex sites that want the most technically rigorous, engineering-led approach to AI search.
Our entry - Clear Cited (in our own words)
Clear Cited our entry
Done-for-you service
Our productized AI-search-optimization (AEO/GEO) service for developer tools and B2B SaaS: we measure share-of-model rigorously, fix the SEO foundation with real data, and produce the content + authority end-to-end - then prove it.
Pricing: $500 Starter Audit (one-time), retainers from $2,950/mo (Growth) to $12,000/mo (Authority) - fixed and public. (our pricing)
What we measure: the 5 AI engines — ChatGPT, Perplexity, Claude, Gemini, and Grok — plus Google's AI surfaces (AI Overviews & AI Mode), measured separately. (methodology)
Why we're different - with receipts:
- A public, live-measured AI Visibility Index: nine developer-tools categories, re-measured on a cadence, with confidence intervals shown. (source, 2026-07-07)
- Citation receipts: every piece we publish is attributed to the AI citations it earns - the engine, the prompt, and the date it was cited. (source, 2026-07-07)
- A published methodology: median of repeated runs per engine with confidence intervals, and Google's AI surfaces reported separately. (source, 2026-07-07)
- Fixed public pricing and an async, no-calls delivery model - every price on /pricing/, no discovery-call gate. (source, 2026-07-07)
Where we're the wrong pick (honest drawbacks):
- We are a young studio: no long public case-study history yet (our case studies are clearly labelled illustrative until real ones exist).
- We are a solo-operator studio by design - a deliberately small client roster and finite capacity, not a large account team.
- No phone or call support, ever - everything is async and written. If you want weekly calls, we are the wrong pick.
- A narrower vertical focus than generalist agencies: DevOps, developer tools and B2B SaaS. For e-commerce or consumer brands, pick a generalist above.
Best for: Developer-tools and B2B SaaS companies that want AI visibility measured and fixed for them, at a fixed published price, without enterprise-agency minimums or mandatory calls.
The criteria table
The same properties across every entry - so the comparison is like-for-like. A "—" means the vendor doesn't state it in its public materials as of 2026-07-07; it is not evidence of absence.
| Vendor | Model | Pricing | Publishes a measurement methodology? | Google AI surfaces measured separately? | Per-piece citation receipts? | Entry price |
|---|---|---|---|---|---|---|
| Profound | Tool | Published | — | — | — | $99/mo |
| Peec AI | Tool | Talk to sales | — | — | — | Custom |
| Otterly | Tool | Published | — | — | — | $29/mo |
| AthenaHQ | Tool | Published | — | — | — | $295/mo |
| Omniscient Digital | Done-for-you | Published | — | — | — | $10,000/mo |
| Animalz | Done-for-you | Talk to sales | — | — | — | Custom |
| Grizzle | Done-for-you | Talk to sales | — | — | — | Custom |
| First Page Sage | Done-for-you | Talk to sales | — | — | — | $2,000 |
| iPullRank | Done-for-you | Talk to sales | — | — | — | Custom |
| Clear Cited | Done-for-you | Published (fixed) | Yes, with CIs | Yes | Yes (unique) | $500 / $2,950+/mo |
Best for X - including when a competitor is the right call
A list that never recommends a competitor isn't a comparison, it's an ad. Here's where each is genuinely the best pick.
| Best pick | If you are... | Why |
|---|---|---|
| Clear Cited | a dev-tools or B2B SaaS team that wants it measured AND fixed at a fixed public price, async, no calls | measurement + the schema/content/citation work, without enterprise minimums. |
| Profound | enterprise with an in-house owner who wants the deepest dataset and the most engines | the broadest engine coverage and richest prompt/agent analytics in the category. |
| Otterly | a solo marketer or small team that just needs low-cost monitoring to start | the lowest published entry price ($29/mo) with a no-card trial. |
| AthenaHQ | a team that wants to trial AI-visibility tracking before paying anything | the only genuinely free tier here, across five engines. |
| iPullRank | an enterprise with a complex site that wants the most technically rigorous, engineering-led GEO | IR/ML depth (embeddings, relevance engineering) beyond content-only GEO. |
| Omniscient Digital | a well-funded SaaS ready to invest $10k+/mo in a combined SEO + GEO organic-growth program | B2B-SaaS-native with a dedicated, published GEO service. |
How we sourced this comparison
Every fact about another vendor is quoted from that vendor's own public materials and carries the source link + the date we verified it (we re-verify on a quarterly cadence). Roughly ~95% of the sources behind AI answers are third-party (Otterly), so a comparison AI can trust has to be sourced, dated and fair - which is also why we keep our own bias visible rather than faking objectivity. Our measurement method (median of repeated runs per engine, confidence intervals, Google AI surfaces separate) is on our methodology page.
Frequently asked questions
What is the best AEO tool for developer-tools companies?
It depends on who acts on the data. If you have an in-house specialist, a dashboard like Profound (depth), Otterly (low entry price) or AthenaHQ (free tier) tracks your visibility. If you want it measured and fixed for you, a done-for-you service - an agency or our productized service - does the work. A tool tells you you're invisible; it doesn't fix it.
Do these tools track Claude?
Coverage varies and changes often - verify with each vendor. Profound and AthenaHQ cover Claude; on Otterly it's a paid add-on. Claude matters for developer tools because technical buyers lean on it, so we measure it (and Grok) and weight it for dev-tools categories.
Is a dashboard or a done-for-you service better?
A dashboard is right if you have someone in-house to act on the data. A done-for-you service is right if you want the schema, content and third-party citation work executed for you. The work - not the dashboard - is what moves share-of-model.
How did you keep this comparison fair?
Every competitor fact is quoted from that vendor's own public materials with the source link and the date we verified it, and re-checked quarterly. We state real strengths generously, list honest limitations, and - because we run this page - keep our own entry in visible 'we' voice with its own drawbacks. That transparency is what earns the citation.
Get a free teardown See our pricing
More comparisons: All comparisons · Best AEO for B2B SaaS · Profound alternatives · not sure what you need? Find your fit.
Most AEO optimizes only the slice of citations you own. Here's the whole map — all four tiers AI cites from, and how much of it we actually work.
Clear Cited works all four tiers
Coverage 100% · Control ~86% · Influence ~94% · Earned (best-effort)
Most AEO optimizes the ~44% you own. Clear Cited works all four tiers.
Control ~86% · influence ~94% · the last ~6% earned — worked, not guaranteed.
Source: Yext (6.8M citations), 2025-10 — a third-party citation-tier mix, not measured by our AI Visibility Index (which tracks share-of-model); illustrative of the tier split until we publish our own measured citation-source mix
Coverage is the scope of what we work — never a control or ranking guarantee. · See the full Citation Control Map →
The transparency wedge
A method you can reproduce
pre-registered prompt sets with published hashes, run counts and a confidence interval on every figure, and null results published on the same terms as positive ones - as standing practice, not a one-off study
at least 10 runs per engine (12 by default), spent adaptively — more on high-variance engines, fewer on stable ones, never below a 5-run floor Every presence figure carries a Wilson 95% confidence interval. Share of model carries a percentile bootstrap 95% confidence interval in the paid audit, and a Wilson 95% confidence interval in the public AI Visibility Index — the method matched to the metric and named per product, both computed from the actual runs.
Confidence intervals are reported honestly wide and named per product: presence uses a Wilson interval in both products; share-of-model uses a percentile bootstrap in the paid audit and a Wilson interval in the public Index, whose pooled denominator is clustered - so those Index intervals are narrower than a cluster-corrected estimate would give, and we say so. We never narrow a CI to look more certain than the data is.
We publish our run counts, our uncertainty and our pre-registered prompt sets. Across the 8 providers we checked on 2026-08-02: run counts 4 of 8 verified; 4 not verified; uncertainty on published figures 2 of 8 verified; 6 not verified; the prompt set published with the results 0 of 8 verified; 8 not verified. The full comparison, with each vendor’s own wording →
That is the wedge: a number you can re-run and get back. See the full method →
Hold us to it, and hold the others to it too — the 12 questions to ask anyone selling AI visibility, each one answered here with a link.
Comparison
What each of us publishes about how we measure
This compares disclosure, not features, because disclosure is checkable. Every cell was read from that vendor’s own pages on 2026-08-02. A cell we could not establish either way says “not verified” — it does not say no.
| Publishes… | A stated definition of what a citation is | Distinguishes retrieved from cited | How many times each prompt is run | Uncertainty on the published figures | The prompt set published with the results | Null and unfavourable results |
|---|---|---|---|---|---|---|
| Clear Cited | yes | not yet | yes | yes | yes | yes |
| Ahrefs | yes | yes | not verified | not verified | not verified | yes |
| Semrush (with Kevin Indig) | yes | not verified | not verified | not verified | not verified | not verified |
| Profound | yes | not verified | yes | yes | not verified | yes |
| Evertune | not verified | yes | yes | yes | not verified | not verified |
| DataForSEO | yes | yes | not verified | not verified | not verified | yes |
| Peec AI | yes | yes | yes | not verified | not verified | yes |
| Otterly.ai | yes | not verified | not verified | not verified | not verified | yes |
| DEJAN (Airank) | not verified | yes | yes | not verified | not verified | yes |
Surveyed 2026-08-02. Roster: Ahrefs, Semrush (with Kevin Indig), Profound, Evertune, DataForSEO, Peec AI, Otterly.ai, DEJAN (Airank). These are the vendors we checked, not a market total.
Where each row stands
- A stated definition of what a citation is — 6 of 8 verified; 2 not verified
- Distinguishes retrieved from cited — 5 of 8 verified; 3 not verified
- How many times each prompt is run — 4 of 8 verified; 4 not verified
- Uncertainty on the published figures — 2 of 8 verified; 6 not verified
- The prompt set published with the results — 0 of 8 verified; 8 not verified
- Null and unfavourable results — 6 of 8 verified; 2 not verified
What they do better
- Ahrefs — Grounds prompts in real search behaviour at a scale no small operator can match (a 110-billion-keyword database, Google People Also Ask), and ships the retrieved-versus-cited gap as a product feature rather than an observation.
- Semrush (with Kevin Indig) — Ran the study with an independent outside researcher rather than alone, and designed it across 14 countries — broader than most independent work attempts.
- Profound — The most statistically rigorous public methodology we found. It decomposes variance into sampling and drift components, reports Wald, bootstrap and drift standard errors combined in quadrature, and resamples at two levels for portfolio intervals. They also ran a controlled test against their own default and published the result, which went against the default. On uncertainty for run cadence, this is more thorough than what we publish.
- Evertune — Publishes the statistical justification for its sample size as a margin-of-error table, and treats what a model already believes and what it finds live as two separately reported quantities rather than one blended score.
- DataForSEO — Exposes the distinction as raw API fields rather than a vendor-computed score, so anyone building on it can separate a model answering from training from a model looking something up, per response, and audit it themselves.
- Peec AI — The cleanest operational definition of a citation we found, as an explicit three-tier vocabulary of sources, retrieval and citation. It also collects from real browser sessions rather than APIs, which targets a genuine gap between what an API returns and what a user sees.
- Otterly.ai — Keeps a public, world-readable experiment log whose status field includes failed and inconclusive experiments, and publishes its methodology as an open post rather than behind a sales gate.
- DEJAN (Airank) — Models a brand's whole conceptual neighbourhood as an association graph scored with personalized PageRank, rather than counting mentions, and publishes the underlying research openly with its numbers.