AI Search IntelligenceTocharian OÜ
SEO & AI Search Visibility Report
Where tocharian.eu stands in Google search and in ChatGPT, Perplexity, and Google AI Overviews — measured against 150 real buyer queries, 20 tracked competitors, and a 9-dimension SEO + GEO technical audit.
The door is open. The room is nearly empty.
Nobody owns your buyers' questions yet.
The headline finding: your website is invisible to search and AI crawlers.
tocharian.eu serves 75 characters of readable text to a non-JavaScript crawler. The rendered page holds 10,452 characters. ChatGPT, Perplexity and Google's AI crawlers largely do not execute JavaScript, so nearly everything Tocharian says about itself is unreadable to them. It shows on both scoreboards: 1 Google keyword ranking, 4 backlinks, and the brand named in 15 of 1,350 AI answers, every one of them for Splunk-to-Elastic migration or the Kibana MCP server, the two things the engines can find on GitHub rather than on the site. Access itself is perfect: all 15 AI bots allowed, flawless Core Web Vitals. The door is wide open; the room reads as empty.
Here is the opportunity in one paragraph. Nobody owns the answers to Tocharian's buyer questions. The most-cited tracked rival appears in 124 of 1,350 answers, under one in ten; the next three sit at 104, 72 and 69, and most of the field is under 50. Documentation and community sources fill the rest. That is a soft market. Tocharian already has what the winners lack: genuine senior expertise, a real product (AttackTrace), and an open-source MCP portfolio that buyers search for by name. What it does not have is a web presence those engines can read, rank and cite. That is an infrastructure problem, not a credibility problem.
That is exactly the gap DockeryAI closes: we make the site fully readable to search and AI crawlers, build the revenue and product keywords below as pages engineered to rank on Google and be cited by ChatGPT, Perplexity and AI Overviews, and grow the authority signals both systems trust. Then we re-measure this same 150-query set so the movement is provable. For a brand starting at 15 named answers against a field this thin, early wins come fast.
SEO + AI search scorecard
Nine dimensions across the two games that share one foundation: classic SEO (rankings, authority, technical health) and GEO — generative engine optimization, the work of being cited by AI answers.
Who we think you are
We built this profile from your public site alone — your copy, your structured data, your public footprint. It drives every query in this report. If we got something wrong, that conversation is exactly where a real engagement starts.
Tocharian OÜ is a senior Elastic engineering firm for enterprises past the deployment honeymoon — the operators of clusters that wobble at scale, SIEMs drowning in alerts, Splunk migrations that landed but never became production-ready, and AI/RAG prototypes stuck outside production. Four disciplines (platform, security/SIEM, observability, search & AI), the AttackTrace investigation workbench, and a maintained open-source MCP portfolio — sold as fixed-scope outcomes and hire-bridging engagements, with the customer kept in control.
Security / SOC lead
Runs Elastic Security or is leaving Splunk. Alert backlog is growing and there is no standard investigation process.
Platform / SRE lead
Owns a scaled Elastic estate. Fights instability, slowing queries, and a storage bill that climbs every quarter.
Search / AI engineering leader
Has RAG and agent prototypes that work — and can't safely reach production without permissions and auditing.
Hiring engineering manager
Open Elasticsearch/SIEM/SRE roles, live deadlines. Needs senior capability now, not in six months.
8 themes your buyers already search
From your positioning we derived the buyer-problem themes Tocharian OÜ should own, then wrote 150 real long-tail queries the way your buyer personas actually phrase them — validated against live search demand and People-Also-Ask data. Every theme is a dual target: Google page-one rankings on the head terms, AI citations on the long tail. Same pages, both scoreboards.
Head keyword targets — real Google demand
US monthly search volume (Google Ads data). Each theme's page targets its head keywords for rankings; the long-tail questions below it are the AI-citation layer.
| Theme | Target keyword | Monthly searches | CPC |
|---|---|---|---|
| Splunk-to-Elastic migration | splunk vs elasticsearch | 260 | $24.33 |
| splunk alternative | 50 | $35.85 | |
| splunk migration | 10 | — | |
| SIEM operations & detection quality | elastic siem | 720 | $6.97 |
| elastic security | 720 | $7.28 | |
| detection engineering | 320 | $30.04 | |
| Cluster cost & performance | elasticsearch support | 210 | $7.74 |
| elasticsearch cluster | 140 | $16.15 | |
| elasticsearch consulting | 70 | — | |
| Observability | observability platform | 1.6k | $63.49 |
| elastic apm | 480 | $6.45 | |
| elastic observability | 260 | $9.43 | |
| Enterprise search, RAG & MCP | hybrid search | 320 | $17.60 |
| enterprise search platform | 140 | — | |
| elasticsearch vector database | 90 | $7.31 | |
| AI security investigation | security copilot | 880 | $13.04 |
| ai soc analyst | 110 | $140.45 | |
| soc automation | 110 | $156.83 | |
| Hiring & engagement | elasticsearch consultant | 70 | — |
| hire elasticsearch developer | 70 | $33.56 | |
| elasticsearch expert | 10 | — | |
| Vendor selection | elasticsearch services | 210 | — |
| elastic partner | 30 | $14.06 | |
| elasticsearch managed services | 30 | — |
Head terms rank. Long tails get cited. Same pages.
Google ranks pages on the head keywords above; AI engines answer the long-tail questions below with citations. A theme owned end to end wins both scoreboards at once. Your open-source MCP portfolio and AttackTrace are genuine citation magnets; today they are invisible in your own web presence.
Keyword opportunity — scored, not just counted
Worldwide monthly searches and AI-answer volume, scored on intent, demand, winnability and trend, then held against the offer. The revenue lane is small and nearly uncontested: 21 must-target terms with difficulty under 15, each tied to a trigger a persona already has (a Splunk bill, a cluster cost spike, an alert backlog, an open role). The product lane is the surprise: 74,000 searches a month for MCP servers Tocharian already publishes, with no page on tocharian.eu for any of them.
Revenue keywords
Offer-matched and carrying a buying modifier. These become enquiries.
| Keyword | Band | Intent | Searches / mo | AI answers / mo | Difficulty | CPC |
|---|---|---|---|---|---|---|
| opensearch vs elasticsearch | must-target | commercial | 3.6k | 4 | 5 | $11.54 |
| best mcp servers | must-target | commercial | 3.6k | 49 | 14 | $4.33 |
| elasticsearch vs opensearch | must-target | commercial | 1.6k | 4 | 5 | $12.35 |
| elastic vs splunk | must-target | commercial | 720 | 1 | 0 | $20.13 |
| splunk vs elastic | must-target | commercial | 720 | 1 | 0 | $20.13 |
| elastic cloud pricing | must-target | commercial | 720 | 0 | 1 | $11.82 |
| siem managed service | must-target | commercial | 480 | 0 | 0 | $106.97 |
| splunk pricing | must-target | commercial | 1.0k | 15 | 11 | $10.29 |
| elasticsearch pricing | must-target | commercial | 720 | 2 | 8 | $6.08 |
| splunk replacement | must-target | commercial | 390 | 77 | 1 | $13.44 |
| elasticsearch upgrade | must-target | commercial | 320 | 7 | 0 | $17.27 |
| splunk alternatives | must-target | commercial | 260 | 8 | 0 | $20.24 |
Found by name
Things the brand already ships, searched for by name.
| Keyword | Band | Intent | Searches / mo | AI answers / mo | Difficulty | CPC |
|---|---|---|---|---|---|---|
| grafana mcp | high-value | navigational | 8.1k | 2 | 6 | $4.95 |
| mysql mcp server | high-value | navigational | 1.9k | 1 | 7 | $8.18 |
| aws mcp server | high-value | navigational | 12.1k | 27 | 27 | $5.14 |
| elasticsearch mcp server | high-value | navigational | 480 | 3 | 6 | $11.50 |
| kibana mcp server | high-value | navigational | 260 | 2 | 0 | $6.03 |
| splunk mcp | high-value | informational | 1.9k | 9 | 2 | $13.97 |
| jira mcp server | high-value | navigational | 8.1k | 8 | 54 | $6.82 |
| confluence mcp | high-value | navigational | 6.6k | 5 | 54 | $4.97 |
| aws mcp | opportunity | informational | 9.9k | 51 | 27 | $8.50 |
| mysql mcp | opportunity | navigational | 2.9k | 1 | — | $9.36 |
| kibana mcp | opportunity | informational | 720 | 2 | 0 | $9.87 |
| elasticsearch mcp | opportunity | informational | 880 | 5 | 12 | $10.92 |
Citation keywords
Questions the AI engines answer on the offer. Being the cited source here feeds the other two lanes.
| Keyword | Band | Intent | Searches / mo | AI answers / mo | Difficulty | CPC |
|---|---|---|---|---|---|---|
| enterprise search | must-target | commercial | 1.9k | 124 | 11 | $27.00 |
| hybrid search | must-target | commercial | 1.6k | 40 | 11 | $6.85 |
| semantic search elasticsearch | must-target | commercial | 880 | 3 | 3 | $9.97 |
| rag security | must-target | transactional | 210 | 3 | 8 | $2.04 |
| ai agent security | must-target | commercial | 1.3k | 18 | 20 | $32.98 |
| ai soc analyst | must-target | commercial | 260 | 40 | 3 | $43.30 |
| elasticsearch cluster health | must-target | commercial | 210 | 8 | 0 | $7.39 |
| elasticsearch on kubernetes | high-value | commercial | 320 | 9 | 11 | $7.65 |
| elasticsearch kubernetes | high-value | commercial | 320 | 9 | 14 | $7.65 |
| elasticsearch rag | high-value | commercial | 260 | 2 | 9 | $4.80 |
| opentelemetry elasticsearch | high-value | commercial | 110 | 0 | 0 | $4.74 |
| rag elasticsearch | high-value | commercial | 110 | 2 | 9 | $8.82 |
Deliberately not chased: opentelemetry (74.0k), retrieval augmented generation (49.5k), elk stack (18.1k), apm tools (6.6k), root cause analysis tools (4.4k), log management (1.6k), elasticsearch jobs (390), ai incident response (140), elk consultant (110), misp integration (40). High volume, but software-buyer or definition intent off the offer.
150 real buyer queries, live-tested
Each query was asked 3 times on each of three platforms — 1350 live AI answers in total. The full engagement re-tests this exact set at 30 samples per query, the statistically stable baseline progress is measured against.
Splunk-to-Elastic migration
19 queries · brand named 9× · competitors cited 120×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| how to migrate from splunk to elasticsearch step by step | problem | — | crestdata.ai | qavi.tech |
| splunk to elastic migration best practices | evaluating | — | qavi.tech | qavi.tech |
| how to convert SPL queries to ES|QL | problem | — | qavi.tech | — |
| splunk vs elastic security for SIEM comparison | evaluating | — | — | — |
| how long does a splunk to elastic migration take | evaluating | qavi.tech | qavi.tech | qavi.tech |
| splunk to elastic detection rule conversion | evaluating | — | — | — |
| migrate splunk dashboards to kibana | problem | — | bigdataboutique.com | qavi.tech |
| splunk license too expensive what are the alternatives | problem | — | — | — |
| elastic security vs splunk enterprise security pricing | evaluating | — | — | — |
| who can help with a splunk to elastic migration | buying | ✓ 3/3 | crestdata.ai | qavi.tech |
| splunk to elastic migration consulting services | buying | ✓ 3/3 | ✓ 3/3 | bigdataboutique.com |
| how to validate detection rules after migrating from splunk | evaluating | — | — | — |
| alert quality dropped after splunk to elastic migration | problem | — | qavi.tech | — |
| splunk to elasticsearch data migration tools | evaluating | qavi.tech | qavi.tech | qavi.tech |
| migrating siem from splunk to elastic checklist | evaluating | — | qavi.tech | qavi.tech |
| splunk to elastic migration risks and pitfalls | evaluating | — | qavi.tech | qavi.tech |
| keep detection coverage during siem migration | evaluating | — | — | — |
| splunk to elastic migration cost estimate | buying | — | bigdataboutique.com | bigdataboutique.com |
| sigma rules to elastic security detection rules | evaluating | — | — | — |
SIEM operations & detection quality
23 queries · brand named 0× · competitors cited 15×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| how to reduce false positives in elastic security | problem | — | — | — |
| elastic siem alert triage process | evaluating | — | — | — |
| standard operating procedure for siem alert investigation | evaluating | — | — | — |
| detection rule tuning for elastic security | evaluating | — | — | — |
| how to build a detection engineering feedback loop | evaluating | — | — | — |
| siem alert backlog growing faster than the team can triage | problem | — | — | — |
| siem alert noise reduction strategies | problem | — | — | — |
| ECS normalization for siem data sources | problem | — | — | — |
| best consultants for elastic security siem | buying | — | qavi.tech | — |
| how to operationalize elastic siem after deployment | evaluating | — | qavi.tech | — |
| what is alert triage in cyber security | problem | — | — | — |
| what are the three types of siem | problem | — | — | — |
| elastic security onboarding data sources best practices | evaluating | — | — | — |
| siem deployed but no investigation process | problem | — | ◐ URL | — |
| measuring detection rule quality metrics | evaluating | — | — | — |
| risk scoring and alert severity tuning siem | evaluating | — | — | — |
| elastic security consultant for detection engineering | buying | — | devoteam.com | — |
| outsource siem tuning without outsourcing the soc | buying | — | — | — |
| nis2 logging and siem requirements for enterprises | evaluating | — | — | — |
| eu data residency for siem and log analytics | evaluating | — | — | — |
| dora compliance security monitoring financial services | evaluating | — | — | — |
| kibana dashboards best practices for soc | problem | — | — | — |
| detection as code workflow for siem rules | evaluating | — | — | — |
Cluster cost & performance
28 queries · brand named 0× · competitors cited 123×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| elasticsearch cluster unstable at scale | problem | — | sematext.com | sematext.com |
| why is elasticsearch so expensive | problem | — | — | bigdataboutique.com |
| how to reduce elasticsearch storage costs | evaluating | — | bigdataboutique.com | — |
| elasticsearch hot warm cold architecture best practices | evaluating | — | — | — |
| elasticsearch capacity planning guide | evaluating | — | bigdataboutique.com | — |
| elasticsearch performance tuning consultant | buying | pureinsights.com | softjourn.com | sematext.com |
| elasticsearch version upgrade service | buying | — | — | — |
| emergency elasticsearch production incident support | buying | — | nextbrick.com | sematext.com |
| elastic cloud vs self hosted cost comparison | evaluating | bigdataboutique.com | — | — |
| elasticsearch data retention cost optimization | evaluating | — | bigdataboutique.com | — |
| unbalanced node utilization elasticsearch cluster | problem | — | sematext.com | — |
| elasticsearch queries slowing down as data grows | problem | — | bigdataboutique.com | — |
| elasticsearch cluster health check service | buying | — | — | — |
| when to use searchable snapshots elasticsearch | problem | — | — | — |
| elasticsearch shard sizing best practices | evaluating | — | — | — |
| reduce elasticsearch infrastructure cost without losing retention | evaluating | — | bigdataboutique.com | — |
| elasticsearch architecture review consultant | buying | meteorops.com | sematext.com | sematext.com |
| elasticsearch cluster keeps going yellow under load | problem | — | — | — |
| index lifecycle management policy examples elasticsearch | problem | — | — | — |
| how many elasticsearch nodes do I actually need | evaluating | — | — | — |
| gdpr compliant log retention elasticsearch | evaluating | — | — | — |
| upgrade elasticsearch from version 7 to 8 safely | evaluating | — | — | — |
| breaking changes between elasticsearch versions | problem | — | — | — |
| stuck on an old elasticsearch version how to modernize | problem | — | — | — |
| elasticsearch snapshot and restore strategy | problem | — | — | — |
| cross cluster replication elasticsearch setup | problem | — | — | — |
| elasticsearch disaster recovery planning | evaluating | — | — | — |
| elasticsearch heap and memory pressure tuning | problem | — | — | — |
Enterprise search, RAG & MCP
24 queries · brand named 6× · competitors cited 60×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| elasticsearch RAG production best practices | evaluating | — | — | — |
| hybrid search with vectors in elasticsearch | evaluating | bigdataboutique.com | bigdataboutique.com | bigdataboutique.com |
| how to connect AI agents to elasticsearch safely | evaluating | — | — | qavi.tech |
| MCP server for elasticsearch | evaluating | — | — | — |
| MCP server for kibana | evaluating | ✓ 3/3 | ✓ 3/3 | — |
| enterprise RAG on an existing elasticsearch cluster | evaluating | — | — | — |
| vector search on older elasticsearch versions | problem | — | bigdataboutique.com | bigdataboutique.com |
| AI agent tool calling security best practices | evaluating | — | — | — |
| least privilege access for AI agents in the enterprise | evaluating | — | — | — |
| RAG prototype works but cannot go to production | problem | — | — | — |
| who builds enterprise search on elasticsearch | buying | sematext.com | — | pureinsights.com |
| elasticsearch relevance tuning consultant | buying | elasticsearch.expert | pureinsights.com | pureinsights.com |
| semantic search implementation for company knowledge base | evaluating | — | — | — |
| connect internal tools to AI agents with audit trail | evaluating | — | — | — |
| is MCP safe for enterprise use | problem | — | — | — |
| build vs buy enterprise RAG platform | evaluating | — | — | — |
| typo tolerant search elasticsearch ecommerce | problem | — | — | — |
| governed tool access for LLM agents | evaluating | — | — | — |
| use AI features without rebuilding the whole elastic environment | evaluating | — | — | — |
| kibana api automation examples | problem | — | — | — |
| elasticsearch relevance tuning best practices | evaluating | — | bigdataboutique.com | bigdataboutique.com |
| bm25 vs vector search when to use which | problem | — | — | — |
| elasticsearch for product search conversion | evaluating | — | — | — |
| search analytics measure zero result queries | problem | — | — | — |
AI security investigation
14 queries · brand named 0× · competitors cited 0×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| AI security investigation tools for SOC teams | evaluating | — | — | — |
| AI assisted alert triage with human in the loop | evaluating | — | — | — |
| automate security investigations with AI safely | evaluating | — | — | — |
| AI SOC analyst tools comparison | evaluating | — | — | — |
| security investigation with evidence chain and audit trail | evaluating | — | — | — |
| can AI replace SOC analysts | problem | — | — | — |
| AI copilot for security operations elastic | evaluating | — | — | — |
| how to keep AI investigations auditable for compliance | evaluating | — | — | — |
| private deployment AI security tools | evaluating | — | — | — |
| enrich siem alerts with threat intelligence automatically | evaluating | — | — | — |
| MISP integration with AI investigation workflow | problem | — | — | — |
| reduce mean time to investigate security alerts | problem | — | — | — |
| integrate misp threat intelligence with elastic siem | evaluating | — | — | — |
| enrich alerts with threat intel indicators automatically | evaluating | — | — | — |
Observability
12 queries · brand named 0× · competitors cited 29×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| correlate logs metrics and traces in elasticsearch | evaluating | — | — | — |
| elastic observability implementation partner | buying | qavi.tech | elaxtra.com | nextbrick.com |
| reduce observability data costs elastic stack | evaluating | — | squareshift.co | — |
| opentelemetry with elastic stack setup | problem | — | — | — |
| incidents still hard to locate despite full logging | problem | — | — | — |
| logs ingested but no one can find root cause | problem | — | — | — |
| elastic apm vs datadog for enterprise | evaluating | — | bigdataboutique.com | bigdataboutique.com |
| observability pipeline cost out of control | problem | — | — | — |
| service map and trace correlation kibana | problem | — | — | — |
| consolidate monitoring tools into elastic | evaluating | — | bigdataboutique.com | — |
| manage kibana saved objects across spaces | problem | — | — | — |
| monitor elasticsearch cluster health alerts | problem | sematext.com | — | — |
Hiring & engagement
14 queries · brand named 0× · competitors cited 148×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| hire an elasticsearch consultant | buying | meteorops.com | pureinsights.com | sematext.com |
| elasticsearch contractor vs full time hire | evaluating | — | — | qavi.tech |
| interim elasticsearch architect for migration project | buying | nextbrick.com | — | bigdataboutique.com |
| how much does an elasticsearch consultant cost | buying | elasticsearch.expert | mentorcruise.com | pureinsights.com |
| best elasticsearch consulting firms | buying | pureinsights.com | sematext.com | sematext.com |
| elastic certified consultant in europe | buying | — | devoteam.com | nextbrick.com |
| elasticsearch expert for a short term project | buying | — | softjourn.com | bigdataboutique.com |
| outsource elasticsearch cluster management | buying | meteorops.com | squareshift.co | — |
| cannot hire elasticsearch engineers fast enough | problem | — | meteorops.com | — |
| independent review of elasticsearch architecture direction | buying | — | — | — |
| elastic stack managed services vs consulting | evaluating | meteorops.com | pureinsights.com | — |
| siem engineer contractor for elastic security | buying | — | — | — |
| staff augmentation for elastic projects | buying | — | — | — |
| set architecture standards before new engineering hires join | evaluating | — | — | — |
Vendor selection
16 queries · brand named 0× · competitors cited 249×| Buyer query | Intent | ChatGPT | Perplexity | AI Overviews |
|---|---|---|---|---|
| best elastic partners for enterprise projects | buying | squareshift.co | elaxtra.com | crestdata.ai |
| elasticsearch consulting companies comparison | buying | nextbrick.com | sematext.com | pureinsights.com |
| boutique elasticsearch consultancy vs big system integrator | buying | — | softjourn.com | — |
| elastic implementation partner for financial services | buying | — | elaxtra.com | crestdata.ai |
| elasticsearch consultant for healthcare enterprise | buying | qavi.tech | sematext.com | bigdataboutique.com |
| what to look for in an elasticsearch consulting firm | evaluating | nextbrick.com | softjourn.com | pureinsights.com |
| questions to ask an elastic siem consultant before hiring | evaluating | — | squareshift.co | — |
| elasticsearch consulting for manufacturing companies | buying | meteorops.com | softjourn.com | pureinsights.com |
| elastic stack experts for aerospace and defense | buying | — | qavi.tech | qavi.tech |
| fixed scope elasticsearch assessment engagement | buying | — | bigdataboutique.com | meteorops.com |
| elastic consulting company in europe | buying | devoteam.com | elaxtra.com | elaxtra.com |
| elastic gold partner vs independent consultancy | evaluating | — | elaxtra.com | bigdataboutique.com |
| red flags when hiring a data platform consultancy | evaluating | — | — | — |
| fixed price vs time and materials for platform consulting | evaluating | — | — | — |
| how to scope an elasticsearch health assessment | evaluating | — | — | — |
| reference questions for security consulting vendors | evaluating | — | — | — |
Who wins your buyers' answers instead
We tracked 20 competitors discovered from live search results in your category. Two scoreboards: who the AI engines cite on your buyers' queries, and how deep each competitor's classic SEO footprint runs — organic traffic, page-one rankings, and backlink authority.
AI citation leaderboard
Citations across 1350 live answers to your buyers' queries. Tocharian OÜ: 15 named.
Sources the engines trust in your category
Non-competitor domains cited in the same answers — the places a citation-building program targets.
No untracked source domains recorded in this probe.
| Competitor | Est. monthly traffic | Backlinks | Referring domains | Page-one keywords | AI citations |
|---|---|---|---|---|---|
| Tocharian OÜ tocharian.eu | 0 | 4 | 4 | 0 | 15 named / 12 URL |
| devoteam devoteam.com |
569.7k | 43.8k | 5.3k | 762 | 24 |
| sematext sematext.com |
70.7k | 42.3k | 3.5k | 998 | 43 |
| mentorcruise mentorcruise.com |
49.8k | 44.2k | 3.3k | 998 | 24 |
| signitysolutions signitysolutions.com |
33.4k | 11.6k | 2.4k | 18 | 0 |
| dev dev.co |
15.9k | 15.0k | 1.5k | 62 | 0 |
| softjourn softjourn.com |
3.6k | 5.9k | 2.2k | 313 | 24 |
| prosperasoft prosperasoft.com |
2.7k | 2.3k | 295 | 110 | 0 |
| inexture inexture.com |
870 | 14.9k | 410 | 4 | 3 |
| meteorops meteorops.com |
835 | 600 | 217 | 52 | 45 |
| bigdataboutique bigdataboutique.com |
811 | 6.9k | 806 | 98 | 124 |
The 4 backlinks you do have are hurting, not helping
Tocharian's entire backlink profile is 4 links from 4 domains, all spam-scored 60–70 by the link index — including a link-selling anchor naming tocharian.eu directly. Meanwhile the tracked field averages tens of thousands of links. Cleaning this up and earning even a handful of real citations from the trusted-source list above changes the authority picture materially.
See the full picture — and the plan
This preview was built from public data alone. The full engagement opens with the complete technical audit and a statistically stable citation baseline, then a 90-day sprint measured against the exact queries in this report.
Talk to DockeryAI