Adam at Loganix

I build great links for agencies & in-house marketers at @loganix

[Adam at Loganix @AdamGSteele]

@dosco I see Elysian, adding Timbertrain : )

[Adam at Loganix @AdamGSteele]

@loganix Cannonball!

[Adam at Loganix @AdamGSteele]

One of the more interesting things happening in AI search:

The URL path is becoming a strong trust signal.

Put content in /press-releases/ and AI systems classify it as self-promotion.

But put the same content in /news/ and now it is trusted by AI models across the board.

This is shaping retrieval, so we built our newest product around it.

[Loganix @loganix]

we just launched our newest product, AI Press Release

the product came out of a simple test:

we sent the same press release to 8 different site subsections, then tracked which pages appeared in ai search results across chatgpt, gemini, perplexity, and google ai overviews

one subsection consistently surfaced

seven frequently didn’t

here’s the pattern we found:
the paths split into two clear outcomes

yahoo finance /news/ and business insider /markets/ generated repeated ai citations across multiple platforms

meanwhile, /press-releases/ sections on fortune, reuters, and similar outlets rarely surfaced for the same query sets

the content was the same, and the authority tier was similar

the only variable was where the content lived on the site
why would the subsection matter?

our testing suggests ai retrieval systems use publication context as a trust signal

content at /press-releases/ reads as promotional and self-reported, exactly the type of content ai search platforms have started to filter out

content in a /news/ section carries an editorial signal, aka something someone is saying about you, not what you’re saying about yourself

this is why it surfaces as a cited source

the path is read before the content
that’s the new nature of ai search platforms

they trust third parties’ word (sometimes your competitors') over yours, which makes it hard for you to control the narrative

but here’s where you can turn that on its head: an ai press release placement.
just one placement does two things

retrieval layer: ai searches the web in real time. yahoo finance /news/ surfaces in that retrieval. the release gets cited

base model layer: llms are trained on large corpora. brand mentions on authoritative domains feed future training cycles
each placement builds the model's awareness of the brand over time

every placement we tracked achieved at least one ai citation within 7 days for its target query set

that’s not a warranty, but an observed outcome from the test

what we control is the mechanism: placement selection, subsection targeting, formatting, and distribution structure
that’s the idea behind our newest service, ai press release

research announcement content that’s placed on editorial-style news subsections and distributed through the prnewswire cascade

built for ai visibility from format through placement context

use aiprlaunch for 10% off your first order

expires june 20

read more here: https://t.co/Cj2OQJ8kKI

[Loganix @loganix]

google published guidance on how to optimize for ai search

a lot of the seo community took it as "geo is just seo, case closed"

here's what isn't being talked about: google has a financial incentive to keep your optimization dollars inside their ecosystem

their guide only covers their own ai search platforms, ai overviews and ai mode

it doesn't touch on chatgpt, perplexity, or claude, where 83% of ai usage happens

@myeyesshine_ maps the evidence here: https://t.co/mQ9OyXslIR

[Loganix @loganix]

https://t.co/UPZRUdHH3q

[Loganix @loganix]

the more you spend on a link, the less you pay per DR unit

DR 20-29: $7.35 per DR unit
DR 60-69: $3.04 per DR unit

buying lower DR to save money costs more per unit of authority

we dug into 2,443 real orders from our own marketplace to find out what buyers are actually getting wrong

full study: https://t.co/ujcMqbloBL

[Loganix @loganix]

https://t.co/GMRHqkNGCS

[Loganix @loganix]

"good seo is good geo."

sure, to a point.

but when you're building a press placement, a directory listing, a brand mention, are you only thinking about what it does for google?

because, love it or hate it, it's no longer just doing something for google.

a press placement is a backlink for google. a training signal for chatgpt. and a brand entity signal for gemini, all at the same time.

if you're only thinking about what it does for your rankings on google, you're missing what it's doing for the rest.

there's no point continuing to pretend that search and information retrieval is just a google thing.

let's face it, there are now multiple major retrieval systems your audience uses to find information.

google, chatgpt, perplexity, gemini, claude, and more.

speaking generally, they all pull from the same web. they may even "read" the same sources. the difference here is that they can and do extract different things from them.

so why aren't you optimising for all of them at once?

every tactic can serve multiple systems simultaneously if you're thinking about it the right way.

in doing so, you're hedging across platforms. you're future-proofing your brand as ai search keeps growing. and you're capturing value right now, not just banking on where google traffic is today.

it's time to stop thinking of optimization as a google-only discipline.

with just a few adjustments to how you approach it, you can be building for multiple platforms at once and hedging your bets against whatever the future brings.

so good seo really isn't good geo

here's a deeper look at why: https://t.co/rUWIbls92s

[Loganix @loganix]

https://t.co/bwS8UPR13k

[Loganix @loganix]

https://t.co/i8JPAJphpn

[Adam at Loganix @AdamGSteele]

The page-targeting map is the part I think most people skip when planning link campaigns.

We see it all the time in client profiles: 40 guest posts all pointing at the homepage with brand anchors.

Or the opposite. Every link pointed at service pages with exact-match anchors.

Both are missing the point.

Brand links go to the homepage. That’s what they do.

Guest posts go to service pages. That’s what they’re for.

Mixing those up wastes budget and looks unnatural to both algorithms we've seen the source code for from leaks.

[Loganix @loganix]

the biggest mistake link-building mistake? being sold on dr/da

the 2024 google api leak confirmed google doesn't use either metric

here's what google actually uses:

dr and da are third-party approximations

neither sees real traffic data, user behavior, or the spam signals google uses

thankfully, though, google’s black box, exposed through the api leak, has been cracked, giving us the opportunity to really assess the quality of a backlink

here are the strongest attributes google uses to assess backlinks:

1. siteauthority: google's own domain-level trust score. the higher a site's siteauthority, the more trust and ranking power a link from that site carries

2. pagerank: the base authority signal. how much ranking power flows through a link is determined by the authority of the linking page and by how many other links share that authority

3. titlepagerank: pagerank calculated specifically for the main content area of a page. a link placed editorially in the body of a relevant article carries more weight than one in a footer, sidebar, or navigation

4. homepagepagerankns: the pagerank of the linking site's homepage. even when a link comes from a deep inner page, google factors in the homepage's authority into its evaluation

5. sitefocusscore: how topically coherent the linking site is. a focused niche site scores differently from one that covers everything and nothing

6. pagerankweight: the actual per-link weight fed into google's pagerank calculation. not every link from the same page passes the same weight. a link buried amongst dozens of others on the same page is worth less than one sitting on a page with few outbound links

7. parallellinks: the number of additional links from the same source page pointing to the same target domain. the more links a page sends to your domain, the less each individual one passes

8. firstseendate / lastupdatetimestamp: google tracks when a link was first seen and when it was last updated, confirming link age and recency are tracked signals

9. topicembeddingsversioneddata: scores the topical and semantic relevance between the linking site and your page. a link from a site operating in the same topic space carries more weight than one from an unrelated domain

10. anchormismatchdemotion: a confirmed demotion signal. if the anchor text doesn't match the content of the target page, the link can actively work against you

11. scamness: a scam detection score ranging from 0 to 1023, applied directly in google's ranking system. a link from a site with a high scamness score carries those signals with it. dr has no equivalent signal

and it's not just the google leak saying this

the 2023 yandex source code — the most complete look at a major search engine's ranking infrastructure ever made public — shows the same pattern:

yandex deprecated their entire classic link analysis module. all 60 factors. gone

they were replaced by browserpagerank: link signals validated by actual user behavior

a link from a page with no traffic generates no behavioral data, which means it generates no modern link signal to pass

the penalty coefficient for link schemes in yandex's code (−0.181) almost exactly mirrors the positive weight of pagerank (+0.183)

the system is architecturally designed to cancel out what you gain from buying the wrong links at the exact same magnitude they'd help if you earned the right ones

then there's the doj antitrust case

google's vp of search testified under oath that navboost — their behavioral click-signal system — is more powerful than any of their deep learning models for ranking

the internal document entered as evidence: "learning from logs is the main mechanism behind ranking."

three independent sources. same conclusion

knowing what signals matter is one thing

knowing which link type produces which signals — and which pages each type should point to — is the fuller picture

we mapped the full spectrum this week: every link type, what each one does, where it fits, and what the leaked data shows about how they're actually weighted

link to the guide in the comments

[Adam at Loganix @AdamGSteele]

@Cappy_Nate Please : )

[Adam at Loganix @AdamGSteele]

Reddit is a hard nut to crack:

1. Posting links is outlawed in most subreddits
2. High-intent subreddits require months of karma building
3. Most subreddits hate/ban self-promotion

You can't buy your way in. You have to earn it... or work with someone who already has.

[Loganix @loganix]

google paid reddit $60m/year for its data

within months, reddit’s search visibility jumped 342%

it’s now the #2 most visible domain in US google search

here’s what that means for seo, AI search, and b2b marketing 🧵

[Adam at Loganix @AdamGSteele]

@tokifyi Yes!

[Loganix @loganix]

social proof… are we doing it right?

[Loganix @loganix]

currently, building coverage across the pages AI retrieves is still achievable without huge budgets

that won’t last

early movers compound

once your brand shows up consistently across those pages, displacement by gets a lot harder

strategy guide: https://t.co/h81leULatG

[Loganix @loganix]

AI citations are probabilistic, not positional

70% of content reshuffles per regeneration

target: appearing in 40%+ of regenerations for your category queries

low competition: 3-4 placements. moderate: 5-7. high: 8-12+

full targeting framework: https://t.co/h81leULatG

[Loganix @loganix]

getting a brand cited in AI search isn’t by chance

that's why we built our new AI visibility service, AI Brand Links, with:

query research built in

site selection built in

content engineering built in

competitive positioning built in

how it works:
https://t.co/h81leULatG

[Loganix @loganix]

chatgpt has taken a leaf out of the google playbook, and is now punishing/deprioritizing low-effort listicle spam

@lilyraynyc

[Adam at Loganix @AdamGSteele]

Query-tier matching exists because AI only retrieves from pages that rank.

Content engineering exists because cited text has specific structural properties.

Structural distinctiveness exists because near-identical sources create interference in the grounding pipeline.

AI Brand Links is a set of research-informed constraints that shape how every placement is built.

[Loganix @loganix]

you buy links for rankings, but what if those same links also got you cited by AI for your category queries?

we published a strategy guide on how to get both from the same placement

takeaways 🧵