Get Found & On-Brand

Audit how AI engines see your business, then optimize.

Your AEO can be perfect and the AI still can't read you. Grade whether each answer engine's crawler can fetch, render, and extract your money content — six access signals per engine (robots.txt, WAF/CDN, JS render, extractability, fetch health, log verification) → CRAWLABLE / PARTIALLY BLOCKED / INVISIBLE TO AI, with a worsen-only access gate (a robots.txt disallow or WAF block forces INVISIBLE regardless of score) and a site rollup naming the one engine + signal to unblock first. Knows the facts that trip people up (ChatGPT rides OAI-SearchBot not GPTBot; most AI crawlers run no JavaScript). The infrastructure gate under the AEO line. Runnable Python engine + workbook + 729-combo verifier + 2 playbooks. Deterministic, offline; grades access posture, not people.

The AI never sees your homepage — it reads your feed. Grade each product or local listing on six surfacing dimensions for AI-shopping panels, AI Overviews carousels, and the local pack: CITED / PARTIAL / INVISIBLE, headlined by the weakest dimension, with an entity-consistency gate that hard-stops feed-vs-schema and NAP contradictions. Grades the product surface, not answer text; earned, not bought. Runnable engine + workbook.

Find out whether an AI shopping agent can machine-read, trust, and act on your product feed — before it skips you for a competitor with cleaner data. Scores each item on seven durable, protocol-agnostic signals and returns AGENT-READY / GAPS / UNREADABLE via the weakest signal, with two agent-distrust gates (a feed-vs-page contradiction, a missing identifier) that each force UNREADABLE, a catalog rollup with an exposure rate, and the fault to fix first. Grades durable feed readiness, not today's checkout protocol. Runnable engine + workbook + playbooks. Deterministic, offline, grades the feed not people.

The front-door diagnostic for the AI-visibility line. From your own Search Console numbers, grade each page on six signals for whether Google's AI Overviews are quietly evaporating its clicks even as impressions hold, return DECOUPLING / EVAPORATING per page with a site verdict, and route each page to the exact fix to buy next. Runnable engine + workbook + playbooks. Diagnosis only — connects to nothing, scores no people.

Grade a Google Business Profile on seven suspension-trigger signals (name compliance, NAP consistency, address type, category fit, review integrity, edit stability, duplicates) and return COMPLIANT / AT-RISK / SUSPENSION-LIKELY via the weakest signal, with a top-trigger gate, a portfolio rollup, and the fix to make first — before a suspension takes you off the map. Runnable engine + workbook + playbooks. Not affiliated with Google; files no appeals, scores no people. Not legal advice.

Get your brand cited by AI answer engines — ChatGPT, Perplexity, AI Overviews, Gemini, Claude. The CLEAR framework, paste-ready content templates, a live AI visibility tracker, and a prompt pack with a 30/60/90 plan. The treatment to the AEO Audit Kit's diagnosis. No guaranteed citations — better odds, measured.

Grade a proposed ChatGPT ad and its landing page before you spend. Scores six readiness dimensions (OAI-AdsBot crawler access, allowed ad category, conversational not-a-billboard tone, answer-first landing match, claim verifiability, creative completeness within your builder's limits) weighted to 100 and returns READY TO SERVE / TIGHTEN / WON'T SERVE per ad, with a batch rollup (ALL READY / SOME TO TIGHTEN / PULL FIRST). Two worsen-only gates force WON'T SERVE — the landing page blocks OAI-AdsBot (the silent approved-but-never-serves failure) or the offer is in a disallowed category. It never hard-codes the disputed character limits — you enter what your live OpenAI ad builder shows and it validates against that. Names the one thing to fix first. Runnable Python engine + workbook + conversational copy prompts + audit & serve/convert playbooks + a 6-ad sample. Grades the ad and the page, not a person; verify against OpenAI's live builder and current ad policy. Not legal advice.

Grade your already-published pages against Google's scaled-content-abuse signals before the next enforcement cycle. Mark each page on six signals (template / mass-sameness, per-page value depth, first-hand experience / E-E-A-T, internal near-duplication, editorial review vs velocity, genuine intent) and get a MIN-as-headline verdict — DEFENSIBLE / THIN / EXPOSED — where the weakest signal is the diagnosis, plus a site rollup and exposure rate. A structural gate forces EXPOSED on a mass-templated page with no first-hand value (the exact survivor/casualty split), regardless of how the rest scores; lift either gate axis and it releases. Names the fix-first signal per page and tells you whether to fix or consolidate the cluster. Runnable Python engine + workbook + audit & remediation playbooks + a 6-page sample. Grades pages, not people; a working aid, not affiliated with Google, with no guaranteed rankings.

Codify your voice into rules a machine can check. Voice Extractor + 8-section Voice Spec + On-Brand Writer + 100-point QA Checker + Voice Transfer. Worked example: 22 -> 92.

Use AI for speed without sounding like everyone else's AI. A heuristic slop scanner, the SPARK scorecard (Publish / Revise / Rework), a field guide of AI tells with fixes, brand-voice prompts, and a playbook. AI in the decisions, your voice in the words — a quality guardrail, not an AI detector.

Lock your brand voice once, from your real writing. Four Claude Skills draft multi-channel content from a single anchor, and a deterministic drift guard scores every draft ON-VOICE / DRIFTING / OFF-BRAND by its weakest dimension — with an anti-slop gate that catches machine-wash the dimensions miss. Grades a draft, not a person; not an AI detector.

Make AI visuals that look like you, not everyone's defaults. Twelve ownable postdigital style recipes (halftone, riso, glitch, dithering, CRT…), a brand-system worksheet that scores each asset On-system / Tweak / Off-brand, and a runnable prompt builder. Real photos for real people; disclose AI; no IP imitation.

The pre-publish gate for AI voices, clones, avatars, and digital likenesses. Scores every asset CLEAR / FIX FIRST / DO NOT PUBLISH and gates the set GO / FIX / HOLD — from each asset's own consent and disclosure structure, with the exact fix. Runnable engine + workbook + disclosure/consent playbooks. It's the gate, not the maker; reduces FTC/right-of-publicity/EU-AI-Act risk (not legal advice).

The honest measurement layer for YouTube growth. Scores every video SHIP / TIGHTEN / REWORK against your own channel baseline, and runs a real two-proportion z-test on A/B thumbnail tests — a significance-checked winner, never a noisy bump. Retention is the gate; packaging is the optimization. Runnable engine + workbook + hook/thumbnail playbooks. No tool guarantees views — every verdict is a gap analysis from your own data.

Score your Instagram profile across six surfaces — bio, niche, link-in-bio, pinned proof, highlights, CTA — and get the single thing to fix first. The headline is your weakest conversion surface; an unreadable niche floors the whole profile to INVISIBLE because distribution precedes conversion. Runnable engine + workbook + two fix playbooks. Deterministic, offline, scores the profile not people.

Gate your automated Instagram DM sales flow before you turn it on. Scores five stages — greet & disclose, qualify, value answer, offer, hand to checkout — READY / FIX / DO NOT AUTOMATE, with a dominant disclosure-and-opt-out gate that HOLDs the whole flow if an automated DM doesn't disclose it's automated or offer a way out. Runnable engine + workbook + two playbooks. A risk judgment, not legal advice.

The rights gate for AI-generated music, voices, and audio. Scores every asset CLEAR TO USE / HUMAN-AUTHORSHIP NEEDED / RELICENSE and gates the library GO / REVIEW / HOLD — from each asset's own rights structure (tool plan, human authorship, use, artist imitation, voice consent), with the exact fix. Runnable engine + workbook + rights/disclosure playbooks. The rights layer; pairs with the Voice & Likeness Compliance Gate (consent). Not legal advice.

The pre-launch compliance gate for AI and UGC-style ads. Returns LAUNCH / FIX / PROHIBITED per ad and a campaign GO / FIX / HOLD gate — reading who speaks, what's claimed, and what's disclosed, not a platform label — and hard-blocks a synthetic spokesperson framed as a real testimonial. Runnable Python linter + workbook + disclosure/triage playbooks + sample ad set. Pairs with the Voice & Likeness Compliance Gate. Guidance, not legal advice.

A pre-publish readiness audit for the EU AI Act's Article 50 transparency rules. List every AI surface you operate — chatbots, AI images and audio, deepfakes, AI-written public-interest text — and get CLEAR / FIX / NOT COMPLIANT per surface plus a READY / FIX / NOT COMPLIANT set verdict, with one hard gate: any synthetic surface passed off as real sinks the whole set. Runnable engine + workbook + playbooks. Readiness aid, not legal advice; not a watermarking tool.

Grade published media on whether its C2PA Content Credentials are attached, validly signed, from a trusted signer, carrying the right disclosure assertion, and durable enough to survive the publish path. Returns SIGNED / GAPS / UNVERIFIABLE per asset with a library rollup — and a stripping gate that hard-stops to UNVERIFIABLE when your CDN, CMS, or a social re-encode destroys the credential and no durable fallback can recover it. Runnable Python engine + workbook + two playbooks + a 7-asset sample. The technical-durability layer the AI Disclosure Kit excludes. A nutrition label, not a force field; not a deepfake detector. Not legal advice.

Price brand sponsorships from your own reach and engagement — no invented multiplier — build an honest media kit, and grade every inbound offer Fair / Negotiate / Walk against your own target and floor, adjusted for deliverables, usage rights, and exclusivity. Runnable Python calculator + workbook + media-kit & negotiation playbooks + sample set. Never inflates a kit; the #ad note is guidance, not legal advice.

Audio-anchored. Scores every podcast episode Publish / Tighten / Hold against six weighted criteria with a hard audio gate (bad audio caps at Hold), then plans audio-native repurposing — clips, audiograms, quote cards, show notes, chapters — with counts bounded by the moments you marked, never invented. Runnable Python engine + workbook + five Claude skills + two playbooks. Hands the text companion to the AEO Repurposing System. Not legal advice on synthetic-audio disclosure.

Make AI sound effects and ambient beds that sound like your brand, not the default tool preset. Scores each asset On-brand / Tweak / Off-brand against a sonic identity you define on six weighted criteria, with a hard anti-slop gate (a dense generic preset wash can't pass). Prompt recipes for ElevenLabs SFX + Suno-style generators, a runnable scorer, a workbook, five Claude skills, two playbooks. The audio companion to the Distinctive AI Visuals Kit; non-vocal sound design only. Not legal advice.

The MCP-driven workflow that turns vidIQ search data into a recorded, point-of-view YouTube video in ~70 minutes. Four Claude Skills scout the topic on real search data, interview you into an opinionated outline, fill gaps in scope, and build an animated Claude Design deck with a built-in teleprompter. A runnable scorer with an authority gate that refuses any topic you can't speak to first-hand. Bring your own vidIQ Max plan; not legal advice.

Find out what AI assistants say about your brand and correct what's wrong — honestly. A prompt battery to audit ChatGPT/Gemini/Perplexity, a Brand AI Accuracy scorecard (Healthy / Watch / At risk), a findings triage, the Brand Truth Pack correction toolkit, and a runnable battery generator + correction linter. Correct facts; never suppress legitimate criticism.

Measure AI-era marketing honestly. The CLEAR framework, a KPI tracker, a result Rigor Scorecard (Trustworthy / caveats / don't report yet), a channel ROI workbook, honest report templates, and a runnable evaluator + claim linter that flags thin samples, missing baselines, and over-reach. A methodology, not financial advice — it estimates influence, not causation.

Build offers and landing copy that convert — and check their own claims. A Conversion-Ready Scorecard (Clarity / Proof / Relevance / Friction / Honesty), section-by-section templates, an offer-stack worksheet, prompts, a Claim & Proof Log, and a runnable claim-honesty linter that flags overclaiming, fake scarcity, and missing proof. Marketing guidance, not legal advice; no guaranteed conversion rate.

Grade the lead-capture (opt-in) page your lead magnet lives on. A runnable grader + workbook score it 0–100 on six weighted levers (message match, single conversion goal, value-for-email clarity, form friction, trust at capture, honest promise) and return GO LIVE / TIGHTEN / REWORK — with an honesty gate that forces REWORK on fake scarcity or a broken promise, and a focus gate that caps a page with competing CTAs at TIGHTEN. Names the weakest lever to fix first. Your marks, no baked-in benchmark; grades the page, doesn't build it. Distinct lane from the Offer & Landing-Page kit (sales pages). Not legal advice.

Grade every marketing web form on TCPA prior-express-written-consent (PEWC) readiness across six weighted controls (affirmative unchecked opt-in, clear disclosure, disclosure proximity, written E-SIGN signature, retained per-consumer consent record, revocation/DNC & source diligence) and get CONSENT-READY / FIX FIRST / NOT DEFENSIBLE per form, with a program rollup (READY TO CAPTURE / REMEDIATE / DO NOT LAUNCH). A defective-capture gate hard-stops the three fatal patterns — a pre-checked/non-affirmative opt-in, no retained consent record, or purchased leads with no provenance — because consent the consumer didn't unmistakably give, or that you can't produce later, isn't defensible. Names one fix-first per form. Date-agnostic, and it deliberately does NOT grade the vacated 2023 one-to-one rule. Runnable Python engine + workbook + consent-audit & capture-fix playbooks + a 7-form sample. A readiness aid, not a certification or legal advice — TCPA law is unsettled; consult counsel before launch.

Build an interactive assessment lead magnet that scores honestly and out-converts a PDF. A runnable Python scorer + a design workbook turn a respondent's own 0–5 answers (question weights summing to 100) into a 0–100 score and an honest, score-appropriate result band — with a no-manufactured-problems gate that returns PUBLISH / FIX / REWORK, refusing to let the top band diagnose a problem or hard-sell your best respondents. Ships the scorer, workbook, question + band-copy prompts, a starter question bank, and two playbooks. Your weights, no rigged gradient; portable to any quiz tool. Not a hosted quiz platform. Not legal advice.

Grade your webinar as a lead engine, not just a talk. A runnable Python grader + a workbook score it 0–100 on six weighted funnel levers (registration conversion, show-up plan, in-event qualification, follow-up speed & segmentation, lead scoring & handoff, honest measurement) and return RUN IT / TIGHTEN / REBUILD — with two gates: a bait-and-switch forces REBUILD however polished, and a webinar with no follow-up caps at TIGHTEN. Follow-up carries the most weight because the pipeline is won in the 24–48h after. Ships reminder + segmented follow-up templates and two playbooks. Your marks, no baked-in benchmark; no guaranteed registrations or pipeline. Grades the funnel, not the registration page in depth. Marketing guidance, not legal advice.

Turn one anchor asset into AEO-optimized, brand-voice-locked, omni-channel pieces — the strategy layer clippers skip. The 5A engine (Anchor / Atomize / AEO-optimize / Adapt / Amplify), per-channel templates and prompts, a Repurposing Readiness scorer (Ship / Tighten / Rework), a runnable brief generator + AEO linter, and an optional GHL workflow. A strategy kit, not a clipper; no citation guarantee.

The MCP-driven workflow that grades a published content library so you refresh the right posts. Four Claude Skills read your posts from WordPress, score which are worth refreshing (Refresh now / Worth a refresh / Low priority / Rewrite or retire), draft the refresh in your voice, and assemble a publish-ready package — with a publish gate that refuses to fast-track inaccurate, unsalvageable, or worthless content, however well it ranks. It reads, drafts, and stages an unshared draft; you publish. No guaranteed rankings; never invents a stat.

Send email that sounds like you, lands in the inbox, and earns the click — honestly. The VOICE standard, voice-locked templates and welcome/re-engagement sequences, humanize prompts, a deliverability QA workbook (SPF/DKIM/DMARC), and a runnable send-readiness linter. No inbox-placement guarantee.

Grade every sending domain against the post-2024 Google/Yahoo/Microsoft bulk-sender rules — SPF, DKIM, DMARC policy, From-alignment, RFC 8058 one-click unsubscribe, spam-complaint headroom — and get one verdict each: ENFORCING / AT RISK / FAILING, with an account rollup. A structural gate fails any bulk sender (>5,000/day) with a hard authentication blocker (no DMARC, or no alignment), because that mail is being rejected at the SMTP level right now — no matter how high the score. Names one fix-first per domain. Runnable Python engine + workbook + two playbooks + a 7-domain sample. The domain layer; sibling to the Brand-Voice Email Engine (message layer). No inbox-placement guarantee; not legal advice.

Earn more real reviews, respond on-brand, and stay on the right side of the FTC Consumer Review Rule. The five moves (Ask / Respond / Resolve / Showcase / Track), GHL-ready templates, a self-checking workbook, and a runnable compliance linter (Compliant / Fix / Prohibited). Guidance, not legal advice.

Generate more winning ad creative, test it one variable at a time, and scale only what is statistically real. An angle/hook engine, a one-variable test matrix, a fatigue-aware CTR/CPA/ROAS tracker, and a two-proportion significance check. Scale signal, not luck.

Originate short-form video that gets watched: content pillars, a hook engine with a Ship/Tighten/Rework scorer, tight script templates, Kling B-roll prompts, and a cadence you can keep. The creation layer, not just repurposing.

Build genuine LinkedIn authority in your real voice, without slop or engagement games: a POV worksheet, content pillars, post frameworks, honest hook patterns, an engagement playbook (no pods or bots), and a post checker that refuses to Ship engagement-bait.

Publication-ready positioning in a guided 90-minute sprint. Four outputs you ship Monday.

12 ICP personas + bias-check protocol. Pressure-test positioning in a weekend.

Diagnostic + 40+ patterns + AI rewriter + tier worksheet. New pricing page by 5pm.