People Also Search For boxes are an entity-level feature: Google identifies which other entities its users have searched for in the same session as the queried entity, with policy filtering on top. When the shown adjacencies are accurate and preferred – the brand’s actual peers, partner organizations, the executive’s known affiliations – the box reinforces correct positioning. When the adjacencies are unfavorable – competitors the brand does not want to be associated with, deprecated affiliations, hostile entities – the box reinforces a problematic frame. Influence works at the entity layer rather than directly. Build co-citation patterns in authoritative content that link the brand to preferred adjacencies (preferred peers, named partners, relevant industry leaders). Over time, Google’s entity associations shift toward those co-citation patterns. Direct manipulation of the box is not available; entity engineering through the source layer is.

Anchor text – the clickable words in an inbound link – is one of Google’s oldest ranking signals. Used naturally it works as intended: a Forbes article links to the brand using the brand name, a partner site links using the founder’s name and title, an industry association links with descriptive context. Over time the pattern of anchor text gives Google a clean signal about what the linked page is actually about. The reputation discipline is to keep anchors natural, branded, and contextually appropriate. The failure mode – common in old-school SEO and lingering in some agencies – is exact-match commercial anchor text at scale: dozens of inbound links all saying ‘best executive coach’ or ‘top investment firm.’ That pattern triggers algorithmic penalties and degrades the entity. We avoid it on owned campaigns and audit for it during diagnostics on legacy footprints we inherit.

LinkedIn profiles rank consistently well for executive name queries and feed the entity layer through sameAs relationships, so optimization is a foundational reputation task. The checklist: claim a clean custom URL using the canonical name (firstname-lastname or close variant). Complete every profile field – headline, summary, experience, education, skills, recommendations. Write the headline and summary as if they will be extracted: clear identity statement, recognizable affiliations, defined expertise areas. Use the corporate brand name with proper capitalization in every relevant experience entry so the named-employer links resolve. Use a professional headshot consistent with every other authoritative profile. Post substantively – not constantly – on defined topic areas to build topical authority over time. Keep the canonical bio identical across LinkedIn, the corporate site, Wikipedia (if applicable), and other authoritative profiles. Inconsistencies degrade entity confidence.

Domain authority is the aggregate of every inbound signal a domain has accumulated: backlinks from credentialed sites, age, content depth, citation patterns, and the secondary signals Google’s algorithm weights. Higher authority makes individual URLs on the domain easier to rank, which is why a Forbes article outranks a similar article on a low-authority site even when both are well-written. Reputation work treats domain authority as a long-term investment on owned domains – sustained quality content, careful link earning, technical health – and as a placement criterion for earned work, where the goal is securing coverage on domains the engines already trust. The failure mode is treating domain authority as a number to manipulate through volume tactics; the algorithm is built specifically to detect that, and the penalties outweigh any short-term gains.

Microsites are used in reputation work when the main corporate domain is not the right home for a specific narrative. Common applications: a dedicated site for a high-profile executive whose individual story matters separately from the corporate brand, a campaign site for a defining initiative, a response site addressing a specific contested topic, or a brand-within-the-brand for a business unit with independent visibility. The discipline: build on a clean, descriptive domain; mark up every content type with appropriate schema (Person, Organization, FAQPage, NewsArticle); link sameAs to the corporate canonical and to authoritative external profiles; treat the microsite as a long-term asset with sustained authoritative content. The failure mode is the throwaway microsite – thin content, no schema, no link discipline, deprecated after a year. Done correctly, microsites become page-one assets that reinforce the broader reputation picture.

The heat map is one of IMPACT’s most useful diagnostic views. For each tracked client, every priority keyword is plotted against every geography, with cell color indicating SERP composition – green where owned and friendly content dominates, red where negative content concentrates, yellow where the picture is mixed. The temporal layer adds week-over-week movement, so a deteriorating market shows up before it becomes a problem and an improving one validates the program’s interventions. The output is operational: the heat map tells the account team where to direct the next month’s effort. Geographic concentration of negative content often points to a single contested source that needs targeted work; keyword concentration points to a missing piece of authoritative content. Five Blocks clients see the heat map in monthly reporting alongside the underlying data.

Mugshot and arrest-record aggregators are one of the more frustrating reputation problems because the underlying records are public and the aggregators are commercial enterprises operating within the law. The response works at four layers. First, platform-specific takedown: most major aggregators have published removal processes, sometimes for a fee, often free for clear cases. Second, legal escalation where state laws apply – several US states have passed mugshot-pay-for-removal restrictions and other statutes that create takedown obligations. Third, source-level remediation when the underlying record has been sealed, expunged, or pardoned: the aggregator no longer has a basis for hosting it and platform policies typically support removal. Fourth, authoritative content displacement: a stronger owned property and earned media footprint pushes the aggregator results below page one over time. The combination usually produces material improvement within six to twelve months.

SERP analysis is the diagnostic discipline that translates a search result page into an action plan. For each priority query, the analyst captures every ranking URL on page one and page two, classifies each by source type (owned, earned, third-party, hostile, neutral), sentiment, and authority profile, and identifies the structural drivers – is the SERP dominated by news, by a Wikipedia article, by directory listings, by a single contested article. The output ranks interventions by leverage and effort: where authoritative competing content is most likely to move rank, where entity-layer work would shift Knowledge Panel composition, where source-level engagement could resolve a single problem URL, where the picture is healthy and does not need attention. SERP analysis sits between the diagnostic and the execution plan, and it gets refreshed quarterly during active engagements.

Google News is a separate algorithm and a separate SERP feature that lives inside the main results page through Top Stories and news boxes. Building durable presence requires sustained input. Authoritative wire distribution (Business Wire, PR Newswire) for genuinely newsworthy announcements, not routine corporate communications. Direct relationships with news publishers in the brand’s category, cultivated over years and managed by the client’s PR team. Structured news content on owned properties with NewsArticle schema, news sitemaps, and proper publication metadata. Sustained thought leadership and substantive corporate activity that gives news outlets reasons to cover the brand. The cumulative effect is that the brand becomes a regular presence in news cycles relevant to its category, which improves Top Stories ranking, news box composition, and downstream AI engine treatment of the brand as newsworthy.

Google Scholar runs separately from the main Google index, weighting academic and research signals: publication metadata, citation counts, journal authority, co-author networks. For clients whose reputation depends meaningfully on academic credibility – researchers, scientists, medical experts, certain consultants and consultants-turned-executives – Scholar visibility is a discrete workstream. The discipline is structured: complete and accurate publication metadata across every paper, a verified Google Scholar Profile, consistent author name and affiliation across publications, proper citation hygiene, and ORCID identifiers linking the author across systems. The work flows into entity authority more broadly because several AI engines weight Scholar-indexed sources heavily for technical queries, and a strong Scholar footprint shows up in the AI narrative for the underlying topic.