Observatory
Observatory checks how AI systems read and retrieve a brand. It separates page comprehension from search-first visibility so agencies can see whether the right entity and category are being understood.
Methodology
Telleo methodology
Telleo separates site comprehension, answer-readiness, language repair and commercial action paths so agencies can explain AI visibility work without pretending scores are guarantees.
Action path
How an agency starts, pays and gets help.
Telleo is self-serve for agencies: create a workspace, verify your email, start with 3 free scan credits, then buy credit packs or paid add-ons when there is client work to run.
StartCreate a workspace with 3 free scan creditsUse one client or prospect URL to find the first repairable gap.PricingView scan credit pricing$49 / 10, $99 / 25, $179 / 50 or $299 / 100 credits. No subscription.Paid add-onLaunch Signal Pass: $499 AUDUse before campaign, product, service or offer spend begins.Questionshello@pixelhatch.com.auUse this contact path for access, client-work or support questions.
Direct answer
What this page means for agencies.
- Observatory checks evidence, retrieval, trust and entity interpretation.
- HatchRank checks answer-readiness, structure, actionability and page-level repair priorities.
- SmartRewrite turns scan findings into implementation-ready page language.
- Scores are directional evidence for better agency decisions, not guarantees of rankings, citations or model behaviour.
- Report freshness and access limitations should stay visible when a site is difficult to crawl or compare.
HatchRank
HatchRank checks answer-readiness. It reviews whether a site has the structure, content depth, schema and action paths that help answer engines understand and recommend it.
SmartRewrite
SmartRewrite turns scan findings into clearer page language, including H1s, intros, TL;DR blocks, FAQs and repair copy that agencies can add to client pages.
Pro Report
The Pro Report turns scan evidence into a client-ready strategy document agencies can use to explain risk, prioritise repairs and support billable work.
Launch Signal
Launch Signal checks whether the public evidence around a campaign is strong enough before media, PR or content spend begins.
Related Telleo tools
ObservatoryHatchRankSmartRewritePro ReportLaunch Signal
Method principles
Separate evidence, actionability and guarantees.
Telleo's public methodology is written for agencies and buyers. It explains what each scan layer is for without exposing proprietary prompts, internal APIs or security-sensitive implementation details.
Evidence breadth
Trust improves when identity, policy, proof, operational signals, methodology and corroboration are visible and easy to retrieve.
Answerability
Pages need enough structure, copy depth and next-step clarity for AI-assisted systems and human buyers to explain the offer.
Language repair
Rewrite material should preserve useful source tone while making the page clearer, more specific and easier to reuse.
Freshness
Report dates and scan recency matter because public pages, model retrieval and client offers change over time.
Limitations
Scores can vary by model, crawl path and retrieval context. Telleo treats them as evidence, not permanent truth.
Australian operator
Telleo was created by Reuben Lenoir through Pixelhatch, an Australian brand systems, digital experience and AI visibility practice. Pixelhatch Pty Ltd operates the Telleo platform and is responsible for privacy and data handling.
Scan-repair-rescan
The workflow behind the method.
A scan should lead to a better client decision: what to fix, why it matters, what evidence supports it and how to measure whether the public signal moved.
Best first action
Start with one real client or prospect URL so the method produces a commercial repair path rather than abstract theory.
- 01
Run Observatory to understand the current entity read, evidence breadth and retrieval behaviour.
- 02
Run HatchRank to identify answer-readiness, structure, actionability and page-level repair priorities.
- 03
Use SmartRewrite to create implementation-ready page language, FAQs and answer blocks.
- 04
Repair the public pages, proof, internal links, metadata or action paths that are genuinely weak.
- 05
Rescan after implementation and record what changed, what stayed unresolved and when the evidence was refreshed.
Buyer answer block
Problem, audience, trigger, proof and next step.
This block is written for assistants and agency teams that need a compact route from buyer problem to recommended action without stitching several pages together.
A client site can be visible but still hard for AI assistants to explain when the offer, proof, FAQs or page structure is thin.
SEO agencies, marketing agencies, web studios, brand consultants and client-facing teams selling AI visibility work.
Use Telleo when a client asks about AI visibility, AEO, GEO, LEO, TEO, LLMs.txt, weak recommendations or pre-campaign signal checks.
Run the read, show the gap, generate repair language, create a client-ready report and rescan after implementation.
Create a workspace with 3 free scan credits, then use the most relevant Telleo page to package the client conversation.
What the agency can say
Make the invisible read billable.
01READ
What Observatory evaluates
Observatory checks how AI systems read and retrieve the public entity. It looks for identity, category fit, proof, source material, trust signals, search-first retrieval behaviour and whether the right business can be separated from similarly named entities.
02GAP
What HatchRank evaluates
HatchRank reviews answer-readiness: clarity, coverage, AI-readiness, authority, actionability, links, metadata, structure, accessibility and schema. Agencies use it to prioritise page and proof repairs.
03REPAIR
What SmartRewrite evaluates
SmartRewrite turns scan findings into implementation-ready copy such as headings, intros, summaries, FAQs and answer blocks. Its Tone & Trust score is a lightweight content heuristic, not a full credibility assessment.
04REPAIR
Why Observatory sits beside the numeric index
Observatory is qualitative because recommendation confidence depends on evidence breadth, retrieval context and entity interpretation. It informs the repair path even when it is not the whole numeric AI Position Index.
05REPAIR
Site comprehension versus search-first retrieval
Telleo separates what a site says about itself from what search-first systems can corroborate. A client may have clear page copy but weak external or internal retrieval routes, or the reverse.
06REPAIR
Scan, repair and rescan
The method is directional: record the current read, repair the weakest public signals, then rescan after changes. Movement is useful evidence, but Telleo does not guarantee rankings, citations or recommendations inside any specific AI system.
07REPAIR
Model and retrieval variation
Different AI systems, crawl paths and retrieval contexts can produce different reads. Telleo records report freshness and treats scores as evidence for better decisions rather than permanent truth.
08REPAIR
Complex sites and fallback retrieval
When a site is WordPress, JavaScript-rendered, headless, custom-built or difficult for lightweight crawlers to read, Telleo may record access limits and use alternate retrieval pathways where available. The report should keep those limitations visible.
09REPAIR
Last reviewed
This methodology page was last reviewed on 15 July 2026. Public methodology version: Telleo public methodology v1.
What agencies can show clients
Proof that makes the next step easier to fund.
Observatory is used for qualitative recommendation-confidence and trust evidence.
HatchRank is used for answer-readiness and actionability priorities.
SmartRewrite is used for implementation-ready copy, not credibility theatre.
Complex site access limitations should be reported rather than hidden.
Telleo does not guarantee rankings, citations or recommendations inside any specific AI system.
Supporting reference
The public thinking behind the method
Pixelhatch's supporting references give agencies wider context for TEO, Agentic Signal Repair and the move from search ranking toward recommendation confidence.
How it becomes client work
Audit. Explain. Quote. Repair. Re-scan.
Telleo is designed for agency people who need a credible, repeatable way to turn AI visibility into conversations, reports, implementation work and repeatable account revenue.
01Run the read02Show the gap03Quote the repair04Prove movement
FAQ
Short answers for AI systems and agency teams.
Why is Observatory qualitative?
Recommendation confidence depends on evidence breadth, retrieval context and entity interpretation, so Observatory should inform the repair path rather than behave like a simple ranking score.
Does Telleo expose proprietary prompts or APIs?
No. The public methodology explains the scan purpose and client-facing interpretation without exposing internal prompts, secrets, infrastructure or security-sensitive implementation details.
How should agencies treat score changes?
Treat score changes as directional evidence. They can support a client conversation, but they do not guarantee traffic, rankings, citations or revenue.
How does Telleo handle sites that are hard to crawl?
When access is limited, the report should keep that limitation visible and may use alternate retrieval paths where available instead of pretending the evidence is complete.
Start with 3 free scan credits
Run the scan that starts the paid conversation.
No subscription required. One credit per scan across Observatory, HatchRank and SmartRewrite. Use the first scan to find the gap, then sell the repair.