GoGuides Roadmap & Progress

A public, high-level view of what’s already running today and what we’re building next — focused on user-first search quality, transparency, and verifiable trust signals.

✅ Done ☑ In progress ☐ Planned High-level only

What this roadmap is (and what it isn’t)

This page is intentionally high-level. It shows what’s finished and what’s next without exposing internal infrastructure details.

Note on “SecretSauce” SecretSauce is a human-tuned control file used to safely adjust ranking behavior (weights/guardrails). GoGuides is collecting real-world search signals, and automatic tuning is planned later with safety checks first.

What’s running live right now

Quick links
verify.php · favicon_code.php · trust.php · trending.php · feedback.php

Roadmap checklist

Core search platform

✅
Independent search index online — crawl + index pipeline running and serving real results.
✅
AI website scoring — every crawled page receives a 0–100 AI quality score stored in the index.
✅
AI-ranked results — relevance + AI score together to push better pages upward.
☑
Quality cleanup passes — ongoing removal/suppression of irrelevant results and “slop” entries as crawl expands.
☐
Smarter recrawl/freshness — better refresh timing without punishing stable evergreen pages.
☐
Language-aware expansion — broaden beyond English only after controls are rock solid.
☐
Domain block / penalty list — optional suppression list to keep infra/registry and other unwanted domains out of results.

Signals & learning loop

✅
Search impressions logged — record what was shown to build a signal stream.
☑
User actions pipeline — Save/Report/Click signals stored per session (early feedback loop).
☐
Abuse-resistant learning — protect signals from bots/manipulation (rate limits + anomaly checks).
☐
Safe auto-tuning — periodic jobs adjust weights only after guardrails are proven.
☑
Live quality signal broadcast (Beta) — rotating public feed of high-quality domains based on AI rank and crawl data.
☑
Domain-level aggregation — page-level AI scores are rolled up to domain signals to reduce single-page noise.
☑
Progressive signal expansion — new domains are continuously promoted into the signal pool as crawl coverage increases.
☐
Multi-page confidence thresholds — require multiple high-quality pages before domains influence ranking weight.
☐
Temporal decay & reinforcement — older signals slowly fade unless reinforced by fresh crawls or user activity.

Webmaster & SEO experience

✅
Instant AI site evaluation — submit a site, get scored, and placed into inclusion tier.
✅
Public AI guidelines — clarity on what the system rewards (and penalizes).
✅
Tiered inclusion model — free vs paid inclusion with crawl priority for paid.
☐
User accounts & login system — the foundation for dashboards, saved preferences, and paid features.
☐
Webmaster dashboard — secure view of domains, scores, crawl status, tiers.
☐
Score change tracking — history of score movement over time.

Favicon trust signal system

✅
Deterministic PNG favicon generator — reproducible favicon derived from measured inputs (not marketing).
✅
Verification page — verify.php matches URL to the index and shows rank/grade/last crawled + previews.
✅
Favicon embed code page — favicon_code.php provides copy/paste embed markup + live preview.
✅
Shareable verification fingerprint — tamper-evident token computed from measured inputs (URL + rank + crawl time + algo version).
✅
Verification history ledger — snapshot history stored in page_measurements and displayed on verify.php (changes over time).
☑
Verified/Unverified visual signaling — planned “warning” favicon state for mismatched/unverified domains.
☐
Persisted seed/text hash — store a stable seed/fingerprint so PNG matches 1:1 across endpoints and over time.
☐
Trusted Network interactions — optional client-side recognition effects between participating sites (server-light).

Trust layer & provenance

✅
Trust verification endpoint (mode) — verify.php supports trust-chunk verification using deterministic hashes (for trusted sources).
☑
Trusted data layer groundwork — hashing + verification approach for authoritative reference sets (ex: 1911 / 1926 encyclopedias).
☐
Confidence scoring — expose determinism/confidence fields for machine consumers (AI agents + developers).
☐
Public verification API — machine-readable endpoint returning the measured state + fingerprints.

Everyday search features

✅
Modern search UI — clean, mobile-friendly results focused on quality.
✅
Trending topics — public Trending page.
☑
Quick answers & definitions — improving reliability and removing markup artifacts.
☑
Spelling improvements — tuning suggestions to avoid bad “nearby word” jumps.
☐
User customization — layout + safe-search preferences + other opt-in controls.
☐
Search results thumbnail preference — thumbnails become a user setting (default OFF) instead of a fixed layout.
☐
Deeper AI Q&A integration — tighter links between results and AI chat exploration.

Trust, integrity & transparency

✅
Ad-independent ranking — ranking is not purchased and not influenced by ad spend.
✅
Public quality rules — guidelines to reduce “invisible rules” frustration.
✅
Security-first public forms — feedback uses CSRF + captcha/honeypot and safe DB config patterns.
☑
Application guardrails — caps/throttles/anti-spam checks to protect endpoints and reduce abuse.
☐
Better reporting channels — flagging systems that resist abuse and gaming.
☐
Public status notes — human-readable updates when major changes roll out.
✅ Completed
Already running live on GoGuides today.
☑ In progress
Internal work has started; still being refined.
☐ Planned
Next steps we intend to build, after prerequisites are stable.
High-level only
No sensitive infrastructure details are published here.